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References

Published online by Cambridge University Press:  20 September 2017

Eric Neumayer
Affiliation:
London School of Economics and Political Science
Thomas Plümper
Affiliation:
Vienna University of Economics
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Print publication year: 2017

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References

Achen, Christopher H. 2002. “Toward a new Political Methodology: Microfoundations and ART.” Annual Review of Political Science 5, no. 1: 423450.CrossRefGoogle Scholar
Ai, Chunrong, and Norton, Edward C.. 2003. “Interaction Terms in Logit and Probit Models.” Economics Letters 80, no. 1: 123129.CrossRefGoogle Scholar
Alesina, Alberto, Ardagna, Silvia, and Trebbi, Francesco. 2006. Who Adjusts and When? On the Political Economy of Reforms. Working Paper no. 12049. National Bureau of Economic Research.CrossRefGoogle Scholar
Alesina, Alberto, Devleeschauwer, Arnaud, Easterly, William, Kurlat, Sergio, and Wacziarg, Romain. 2003. “Fractionalization.” Journal of Economic Growth 8, no. 2: 155194.CrossRefGoogle Scholar
Alesina, Alberto, and Drazen, Allan. 1991. “Why Are Stabilizations Delayed?American Economic Review 81, no. 5: 11701188.Google Scholar
Alesina, Alberto, and Rosenthal, Howard. 1995. Partisan Politics, Divided Government, and the Economy. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Altmann, Jeanne. 1974. “Observational Study of Behavior: Sampling Methods.” Behaviour 49, no. 3: 227266.CrossRefGoogle ScholarPubMed
Angrist, Joshua D. 2004. “Treatment Effect Heterogeneity in Theory and Practice.” The Economic Journal 114, no. 494: C52C83.CrossRefGoogle Scholar
Angrist, Joshua D., and Pischke, Jörn-Steffen. 2009. Mostly Harmless Econometrics: An Empiricist’s Companion. Princeton: Princeton University Press.CrossRefGoogle Scholar
Arellano, Manuel. 1987. “Estimators.” Oxford Bulletin of Economics and Statistics 49: 431434.CrossRefGoogle Scholar
Arellano, Manuel, and Bond, Stephen. 1991. “Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations.” The Review of Economic Studies 58, no. 2: 277297.CrossRefGoogle Scholar
Bachrach, Peter, and Baratz, Morton S.. 1962. “Two Faces of Power.” American Political Science Review 56, no. 4: 947952.CrossRefGoogle Scholar
Bailey, Michael A. 2005. “Welfare and the Multifaceted Decision to Move.” American Political Science Review 99, no. 1: 125135.CrossRefGoogle Scholar
Bailey, Michael A., and Maltzman, Forrest. 2008. “Does Legal Doctrine Matter? Unpacking Law and Policy Preferences on the US Supreme Court.” American Political Science Review 102, no. 3: 369384.CrossRefGoogle Scholar
Baldwin, David A. 1995. “Security Studies and the End of the Cold War.” World Politics 48, no. 1: 117141.CrossRefGoogle Scholar
Baltagi, B., 2008. Econometric Analysis of Panel Data. Chichester: Wiley.Google Scholar
Banerjee, Abhijit V. 2007. Making Aid Work. Cambridge: MIT Press.Google Scholar
Barrett, Christopher B., and Carter, Michael R.. 2010. “The Power and Pitfalls of Experiments in Development Economics: Some Non-random Reflections.” Applied Economic Perspectives and Policy 32, no. 4: 515548.CrossRefGoogle Scholar
Bartels, Larry M. 1996. “Pooling Disparate Observations.” American Journal of Political Science 40, no. 3: 905942.CrossRefGoogle Scholar
Baum, J. Robert, and Locke, Edwin A.. 2004. “The Relationship of Entrepreneurial Traits, Skill, and Motivation to Subsequent Venture Growth.” Journal of Applied Psychology 89, no. 4: 587.CrossRefGoogle ScholarPubMed
Beardsley, Kyle, and Asal, Victor. 2009. “Winning with the Bomb.” Journal of Conflict Resolution 53, no. 2: 278301.CrossRefGoogle Scholar
Bechtel, M. M., and Schneider, G.. 2010. “Eliciting Substance from ‘Hot Air’: Financial Market Responses to EU Summit Decisions on European Defense.” International Organization 64, no. 2: 199223.CrossRefGoogle Scholar
Beck, Nathaniel, Gleditsch, Kristian Skrede, and Beardsley, Kyle. 2006. “Space is More than Geography: Using Spatial Econometrics in the Study of Political Economy.” International Studies Quarterly 50, no. 1: 2744.CrossRefGoogle Scholar
Beck, Nathaniel, and Jackman, Simon. 1998. “Beyond Linearity by Default: Generalized Additive Models.” American Journal of Political Science 42, no. 2: 596.CrossRefGoogle Scholar
Beck, Nathaniel, and Katz, Jonathan N.. 1995. “What To Do (and Not To Do) with Time-series Cross-section Data.” American Political Science Review 89, no. 3: 634647.CrossRefGoogle Scholar
Beck, Nathaniel, and Katz, Jonathan N.. 1996. “Nuisance vs. Substance: Specifying and Estimating Time-Series-Cross-Section Models.” Political Analysis 6: 136.CrossRefGoogle Scholar
Beck, Nathaniel, and Katz, Jonathan N.. 2007. “Random Coefficient Models for Time-Series – Cross-Section Data: Monte Carlo Experiments.” Political Analysis 15, no. 2: 182195.CrossRefGoogle Scholar
Belsley, David A., Kuh, Edwin, and Welsch, Roy E.. 1980. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. Chichester: Wiley.CrossRefGoogle Scholar
Ben-David, Dan, Lumsdaine, Robin L., and Papell, David H.. 2003. “Unit Roots, Postwar Slowdowns and Long-run Growth: Evidence from Two Structural Breaks.” Empirical Economics 28, no. 2: 303319.CrossRefGoogle Scholar
Berk, Richard A. 1983. “An Introduction to Sample Selection Bias in Sociological Data.” American Sociological Review 48, no. 3: 386398.CrossRefGoogle Scholar
Berry, William D., DeMeritt, Jacqueline H. R., and Esarey, Justin. 2010. “Testing for Interaction in Binary Logit and Probit Models: Is a Product Term Essential?American Journal of Political Science 54, no. 1: 248266.CrossRefGoogle Scholar
Besley, Timothy, and Reynal-Querol, Marta. 2011. “Do Democracies Select more Educated Leaders?American Political Science Review 105, no. 3 (2011): 552566.CrossRefGoogle Scholar
Bigsten, Arne. 2013. Globalization and Development: Rethinking Interventions and Governance. London and New York: Routledge.CrossRefGoogle Scholar
Blalock, H. M. 1964. Causal Inferences in Nonexperimental Research. Chapel Hill: University of North Carolina Press.Google Scholar
Boehmke, Frederick J. 2003. “Using Auxiliary Data to Estimate Selection Bias Models, with an Application to Interest Group Use of the Direct Initiative Process.” Political Analysis 11, no. 3: 234254.CrossRefGoogle Scholar
Boehmke, Frederick J., Morey, Daniel S., and Shannon, Megan. 2006. “Selection Bias and Continuous-Time Duration Models: Consequences and a Proposed Solution.” American Journal of Political Science 50, no. 1: 192207.CrossRefGoogle Scholar
Boehmke, Frederick J., and Witmer, Richard. 2004. “Disentangling Diffusion: The Effects of Social Learning and Economic Competition on State Policy Innovation and Expansion.” Political Research Quarterly 57, no. 1: 3951.CrossRefGoogle Scholar
Böhm, K., Schmid, A., Götze, R., Landwehr, C., and Rothgang, H.. 2013. “Five Types of OECD Healthcare Systems: Empirical Results of a Deductive Classification.” Health Policy 113, no. 3: 258269.CrossRefGoogle ScholarPubMed
Boix, Carles. 2011. “Democracy, Development, and the International System.” American Political Science Review 105, no. 4: 809828.CrossRefGoogle Scholar
Bollen, Kenneth A. 1989. Introduction to Structural Equation Models with Latent Variables. New York: Wiley.CrossRefGoogle Scholar
Bound, John, Brown, Charles, and Mathiowetz, Nancy. 2001. “Measurement Error in Survey Data.” Handbook of Econometrics 5: 37053843.CrossRefGoogle Scholar
Box, George E. P. 1976. “Science and Statistics.” Journal of the American Statistical Association 71, no. 356: 791799.CrossRefGoogle Scholar
Box, George E. P., and Draper, Norman Richard. 1987. Empirical Model-building and Response Surfaces. New York: Wiley.Google Scholar
Bracht, Glenn H., and Glass, Gene V.. 1968. “The External Validity of Experiments.” American Educational Research Journal 5, no. 4: 437474.CrossRefGoogle Scholar
Brambor, Thomas, Clark, William Roberts, and Golder, Matt. 2006. “Understanding Interaction Models: Improving Empirical Analyses.” Political Analysis 14, no. 1: 6382.CrossRefGoogle Scholar
Brand, Jennie E., and Thomas, Juli Simon. 2013. “Causal Effect Heterogeneity.” In Morgan, Stephen L. (ed.), Handbook of Causal Analysis for Social Research, pp. 189213. Dordrecht: Springer Netherlands.CrossRefGoogle Scholar
Braumoeller, Bear F. 2008. “Systemic Politics and the Origins of Great Power Conflict.” American Political Science Review 102, no. 1: 7793.CrossRefGoogle Scholar
Breen, R. 1996. Regression Models: Censored, Sample Selected, or Truncated Data. Vancouver: Sage.CrossRefGoogle Scholar
Breitung, J., and Pesaran, M. H.. 2008. “Unit Roots and Cointegration in Panels.” In Mátyás, László and Sevestre, Patrick (eds.), The Econometrics of Panel Data, pp. 279322. Berlin: Springer.CrossRefGoogle Scholar
Brillinger, David R. 2002. “John W. Tukey’s Work on Time Series and Spectrum Analysis”. The Annals of Statistics 30, no. 6: 15351575.CrossRefGoogle Scholar
Budge, Ian. 2001. Mapping Policy Preferences: Estimates for Parties, Electors, and Governments, 1945–1998. Oxford: Oxford University Press.CrossRefGoogle Scholar
Bueno de Mesquita, Bruce, and Smith, Alastair. 2005. The Logic of Political Survival. Cambridge: MIT Press.Google Scholar
Caliendo, Marco, and Hujer, Reinhard. 2006. “The Microeconometric Estimation of Treatment Effects – An Overview.” Allgemeines Statistisches Archiv 90, no. 1: 199215.CrossRefGoogle Scholar
Calmfors, Lars, and Driffill, John. 1988. “Centralization of Wage Bargaining.” Economic Policy 6, no. 1: 1461.Google Scholar
Cameron, A. Colin, and Trivedi, Pravin K.. 2010. Microeconometrics Using Stata. College Station: Stata.Google Scholar
Campos, Julia, Ericsson, Neil R., and Hendry, David F.. 2005. General-to-specific Modeling: An Overview and Selected Bibliography. International Finance Discussion Papers No. 838. Board of Governors of the Federal Reserve System.Google Scholar
Carey, John M., and Hix, Simon. 2011. “The Electoral Sweet Spot: Low-Magnitude Proportional Electoral Systems.” American Journal of Political Science 55, no. 2: 383397.CrossRefGoogle Scholar
Carroll, R. J., Ruppert, D., and Stefanski, L. A.. 1995. Nonlinear Measurement Error Models. Monographs on Statistics and Applied Probability. New York: Chapman and Hall.CrossRefGoogle Scholar
Cartwright, Nancy. 2010. “What are Randomised Controlled Trials Good for?Philosophical Studies 147, no. 1: 5970.CrossRefGoogle Scholar
Cartwright, Nancy, and Hardie, Jeremy. 2012. Evidence-based Policy: A Practical Guide to Doing it Better. Oxford: Oxford University Press.CrossRefGoogle Scholar
Castles, Francis G., and Mair, Peter. 1984. “Left–right Political Scales: Some ‘Expert’ Judgements.” European Journal of Political Research 12, no. 1: 7388.CrossRefGoogle Scholar
Cederman, Lars-Erik, Buhaug, Halvard, and Rød, Jan Ketil. 2009. “Ethno-nationalist Dyads and Civil War: A GIS-based Analysis.” Journal of Conflict Resolution 53, no. 4: 496525.CrossRefGoogle Scholar
Cheibub, José Antonio, Gandhi, Jennifer, and Vreeland, James Raymond. 2010. “Democracy and Dictatorship Revisited.” Public Choice 143, no. 1–2: 67101.CrossRefGoogle Scholar
Chow, Gregory C. 1960. “Tests of Equality between Sets of Coefficients in Two Linear Regressions.” Econometrica 28: 591605.CrossRefGoogle Scholar
Claeskens, Gerda, and Hjort, Nils Lid. 2008. Model Selection and Model Averaging. Cambridge: Cambridge University Press.Google Scholar
Clarke, Kevin A. 2005. “The Phantom Menace: Omitted Variable Bias in Econometric Research.” Conflict Management and Peace Science 22, no. 4: 341352.CrossRefGoogle Scholar
Clarke, Kevin A., and Primo, David M.. 2012. A Model Discipline. Political Science and the Logic of Representations. Oxford: Oxford University Press.Google Scholar
Cobb-Clark, Deborah A., and Crossley, Thomas. 2003. “Econometrics for Evaluations: An Introduction to Recent Developments.” Economic Record 79, no. 247: 491511.CrossRefGoogle Scholar
Cornfield, J., Haenszel, W., Hammond, E. C., Lilienfeld, A. M., Shimkin, M. B., and Wynder, E. L.. 1959. “Smoking and Lung Cancer: Recent Evidence and a Discussion of Some Questions.” Journal of the National Cancer Institute 22: 173203.Google Scholar
Cronbach, Lee J. 1982. “In Praise of Uncertainty.” New Directions for Evaluation 15: 4958.CrossRefGoogle Scholar
Cronbach, Lee J., and Shapiro, Karen. 1982. Designing Evaluations of Educational and Social Programs. San Francisco: Jossey-Bass.Google Scholar
Cumming, Geoff. 2012. Understanding the New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis. New York: Routledge.Google Scholar
Darmofal, David. 2006. Spatial Econometrics and Political Science. Society for Political Methodology Working Paper Archive: http://localgov.fsu.edu/readings_papers/Research%20Methods/Darmofal_Spatial%20Econometrics%2013%20ps.Pdf (last access 3 April 2017).Google Scholar
Darmofal, David. 2015. Spatial Analysis for the Social Sciences. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Davidov, Eldad, Meuleman, Bart, Cieciuch, Jan, Schmidt, Peter, and Billiet, Jaak. 2014. “Measurement Equivalence in Cross-national Research.” Annual Review of Sociology 40: 5575.CrossRefGoogle Scholar
Davidson, R., and MacKinnon, J. G., 2004. Econometric Theory and Methods. New York: Oxford University Press.Google Scholar
Davidsson, Per, and Delmar, Frederic. 2012. “Dealing with Heterogeneity Problems and Causal Effect Estimation in Entrepreneurship Research.” Unpublished working paper.Google Scholar
Davies, James C. 1962. “Toward a Theory of Revolution.” American Sociological Review 27, no. 1: 519.CrossRefGoogle Scholar
De Boef, Suzanna, and Keele, Luke. 2008. “Taking Time Seriously.” American Journal of Political Science 52, no. 1: 184200.CrossRefGoogle Scholar
Deaton, Angus. 2010, “Instruments, Randomization, and Learning about Development.” Journal of Economic Literature 48, no. 2: 424455.CrossRefGoogle Scholar
DeBell, Matthew. 2013. “Harder than it Looks: Coding Political Knowledge on the ANES.” Political Analysis 21, no. 4: 393406.CrossRefGoogle Scholar
Doering, Holger. 1995. Parliaments and Majority Rule in Western Europe. Frankfurt: Campus.Google Scholar
Duhem, P. M. M. 1954 [1906]. La Théorie physique: son objet, sa structure. The Aim and Structure of Physical Theory. Translated by Wiener, Philip P.. Princeton: Princeton University Press.Google Scholar
Duncan, Otis Dudley. 1975. Introduction to Structural Equation Models. New York: Academic Press.Google Scholar
Editors. 2015. “Editorial Statement on Negative Findings.” Health Economics 24: 505.CrossRefGoogle Scholar
Efron, Bradley. 1979. “Bootstrap Methods: Another Look at the Jackknife.” The Annals of Statistics 7, no. 1: 126.CrossRefGoogle Scholar
Efron, Bradley, and Gong, Gail. 1983. “A Leisurely Look at the Bootstrap, the Jackknife, and Cross-validation.” The American Statistician 37, no. 1: 3648.CrossRefGoogle Scholar
Egorov, Georgy, Guriev, Sergei, and Sonin, Konstantin. 2009. “Why Resource-poor Dictators Allow Freer Media: A Theory and Evidence from Panel Data.” American Political Science Review 103, no. 4: 645668.CrossRefGoogle Scholar
Enders, Walter, and Sandler, Todd. 2005. “After 9/11 Is It All Different Now?Journal of Conflict Resolution 49, no. 2: 259277.CrossRefGoogle Scholar
Enders, Walter. 2008. Applied Econometric Time Series. Chichester: Wiley.Google Scholar
Esarey, J., and Danneman, N.. 2015. “A Quantitative Method for Substantive Robustness Assessment.” Political Science Research and Methods 3, no. 1: 95111.CrossRefGoogle Scholar
Evans, Geoffrey. 1998. “On Tests of Validity and Social Class: Why Prandy and Blackburn are Wrong.” Sociology 32, no. 1: 189202.CrossRefGoogle Scholar
Falbo, Toni. 1977. “Multidimensional Scaling of Power Strategies.” Journal of Personality and Social Psychology 35, no. 8: 537547.CrossRefGoogle Scholar
Falk, Armin, and Heckman, James J.. 2009. “Lab Experiments are a Major Source of Knowledge in the Social Sciences.” Science 326, no. 5952: 535538.CrossRefGoogle Scholar
Fearon, James D. 2003. “Ethnic and Cultural Diversity by Country.” Journal of Economic Growth 8, no. 2: 195222.CrossRefGoogle Scholar
Fearon, James D., and Laitin, David D.. 2003. “Ethnicity, Insurgency, and Civil War.” American Political Science Review 97, no. 1: 7590.CrossRefGoogle Scholar
Feld, Lars P., and Savioz, Marcel R.. 1997. “Direct Democracy Matters for Economic Performance: An Empirical Investigation.” Kyklos 50, no. 4: 507538.CrossRefGoogle Scholar
Feldstein, Martin. 1982. “Inflation, Tax Rules and Investment: Some Econometric Evidence.” Econometrica 41: 825862.CrossRefGoogle Scholar
Fernandez, Raquel, and Rodrik, Dani. 1991. “Resistance to Reform: Status Quo Bias in the Presence of Individual-Specific Uncertainty”. American Economic Review 81, no. 5: 11461155.Google Scholar
Fisher, Irving. 1973. “I Discovered the Phillips Curve: ‘A Statistical Relation between Unemployment and Price Changes’”. Journal of Political Economy 81, no. 2, Part 1: 496502.CrossRefGoogle Scholar
Fisher, Ronald A. 1925. Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd.Google Scholar
Fisher, Ronald A. 1958. “Cancer and Smoking.” Nature 182, no. 4635: 596.CrossRefGoogle Scholar
Fisher, Ronald A. 1966. The Design of Experiments. New York: Hafner.Google Scholar
Folke, Olle, Hirano, Shigeo, and Snyder, James M.. 2011. “Patronage and Elections in US States.” American Political Science Review 105, no. 3: 567585.CrossRefGoogle Scholar
Fox, John. 1991. Regression Diagnostics: An Introduction. London: Sage.CrossRefGoogle Scholar
Frank, Kenneth A. 2000. “Impact of a Confounding Variable on a Regression Coefficient.” Sociological Methods and Research 29, no. 2: 147194.CrossRefGoogle Scholar
Frank, Kenneth, and Min, Kyung-Seok. 2007. “Indices of Robustness for Sample Representation.” Sociological Methodology 37, no. 1: 349392.CrossRefGoogle Scholar
Franzese, Robert J. 1999. “Partially Independent Central Banks, Politically Responsive Governments, and Inflation.” American Journal of Political Science 43: 681706.CrossRefGoogle Scholar
Franzese, Robert J. 2003. “Multiple Hands on the Wheel: Empirically Modeling Partial Delegation and Shared Policy Control in the Open and Institutionalized Economy.” Political Analysis 11, no. 4: 445474.CrossRefGoogle Scholar
Freedman, David A. 1991. “Statistical Models and Shoe Leather.” Sociological Methodology 21, no. 2: 291313.CrossRefGoogle Scholar
Freedman, David A. 2009. “Diagnostics Cannot have Much Power against General Alternatives.” International Journal of Forecasting 25, no. 4: 833839.CrossRefGoogle Scholar
Freedom House. 2013. Freedom in the World 2013. https://freedomhouse.org/Google Scholar
Galton, Francis. 1889. “Personal Identification and Description.” Journal of Anthropological Institute of Great Britain and Ireland 18: 177191.CrossRefGoogle Scholar
Ganzach, Yoav. 1997. “Misleading Interaction and Curvilinear Terms.” Psychological Methods 2, no. 3: 235.CrossRefGoogle Scholar
Ganzach, Yoav. 1998. “Nonlinearity, Multicollinearity and the Probability of Type II Error in Detecting Interaction.” Journal of Management 24, no. 5: 615622.CrossRefGoogle Scholar
Garrett, Geoffrey, and Mitchell, Deborah. 2001. “Globalization, Government Spending and Taxation in the OECD.” European Journal of Political Research 39, no. 2: 145177.CrossRefGoogle Scholar
Gehlbach, Scott, Sonin, Konstantin, and Zhuravskaya, Ekaterina. 2010. “Businessman Candidates.” American Journal of Political Science 54, no. 3: 718736.CrossRefGoogle Scholar
Gelman, A., and Stern, H.. 2006. “The Difference between ‘Significant’ and ‘Not Significant’ is Not Itself Statistically Significant.” The American Statistician 60, no. 4: 328331.CrossRefGoogle Scholar
Gerber, Alan S., and Huber, Gregory A.. 2009. “Partisanship and Economic Behavior: Do Partisan Differences in Economic Forecasts Predict Real Economic Behavior?American Political Science Review 103, no. 3: 407426.CrossRefGoogle Scholar
Gerber, Alan S., and Huber, Gregory A.. 2010. “Partisanship, Political Control, and Economic Assessments.” American Journal of Political Science 54, no. 1: 153173.CrossRefGoogle Scholar
Gibbons, Stephen, Neumayer, Eric, and Perkins, Richard. 2015. “Student Satisfaction, League Tables and University Applications: Evidence from Britain.” Economics of Education Review 48: 148164.CrossRefGoogle Scholar
Gibbons, Stephen, and Overman, Henry G.. 2012. “Mostly Pointless Spatial Econometrics?Journal of Regional Science 52, no. 2: 172191.CrossRefGoogle Scholar
Gibler, Douglas M., and Tir, Jaroslav. 2010. “Settled Borders and Regime Type: Democratic Transitions as Consequences of Peaceful Territorial Transfers.” American Journal of Political Science 54, no. 4: 951968.CrossRefGoogle Scholar
Gill, Jeff. 1999. “The Insignificance of Null Hypothesis Significance Testing.” Political Research Quarterly 52, no. 3: 647674.CrossRefGoogle Scholar
Gleditsch, Kristian S., and Ward, Michael D.. 1997. “Double Take a Reexamination of Democracy and Autocracy in Modern Polities.” Journal of Conflict Resolution 41, no. 3: 361383.CrossRefGoogle Scholar
Goodman, S. N. 1992. “A Comment on Replication, p-values and Evidence.” Statistics in Medicine 11, no. 7: 875879.CrossRefGoogle ScholarPubMed
Granger, Clive W. J. 1996. “Can we Improve the Perceived Quality of Economic Forecasts?Journal of Applied Econometrics 11, no. 5: 455473.3.0.CO;2-E>CrossRefGoogle Scholar
Granovetter, Mark. 1978. “Threshold Models of Collective Behavior.” American Journal of Sociology 83, no. 6: 14201443.CrossRefGoogle Scholar
Griliches, Z., and Mason, W. M.. 1972. “Education, Income, and Ability.” Journal of Political Economy 80, no. 3: S74S103.CrossRefGoogle Scholar
Gross, J. H. 2015. “Testing What Matters (If You Must Test at All): A Context-Driven Approach to Substantive and Statistical Significance.” American Journal of Political Science 59, no. 3: 775788.CrossRefGoogle Scholar
Grossman, G., and Krueger, A.. 1995. “Economic Environment and the Economic Growth.” Quarterly Journal of Economics 110, no. 2: 353377.CrossRefGoogle Scholar
Hafner-Burton, Emilie M., Helfer, Laurence R., and Fariss, Christopher J.. 2011. “Emergency and Escape: Explaining Derogations from Human Rights Treaties.” International Organization 65, no. 4: 673707.CrossRefGoogle Scholar
Hainmueller, Jens, and Hangartner, Dominik. 2013. “Who gets a Swiss Passport? A Natural Experiment in Immigrant Discrimination.” American Political Science Review 107, no. 1: 159187.CrossRefGoogle Scholar
Hamilton, James D. 1994. Time Series Analysis. Princeton: Princeton University Press.CrossRefGoogle Scholar
Hamilton, James D. 2003. “What is an Oil Shock?Journal of Econometrics 113, no. 2: 363398.CrossRefGoogle Scholar
Hammond, E. C., 1964. “Smoking in Relation to Mortality and Morbidity. Findings in First Thirty-four Months of Follow-up in a Prospective Study Started in 1959.” Journal of the National Cancer Institute 32, no. 5: 11611188.Google Scholar
Hanmer, Michael J., and Kalkan, Kerem Ozan. 2013. “Behind the Curve: Clarifying the Best Approach to Calculating Predicted Probabilities and Marginal Effects from Limited Dependent Variable Models.” American Journal of Political Science 57, no. 1: 263277.CrossRefGoogle Scholar
Hansen, Bruce E. 1996. “Methodology: Alchemy or Science: Review Article.” Economic Journal 106, no. 438: 13981413.CrossRefGoogle Scholar
Hays, Jude C., and Franzese, Robert J.. 2009. “A Comparison of the Small-sample Properties of Several Estimators for Spatial-lag Count Models.” Unpublished working paper, University of Illinois Champaign-Urbana.Google Scholar
Heckman, James J. 1979. “Sample Selection Bias as a Specification Error.” Econometrica 47, no. 1: 153161.CrossRefGoogle Scholar
Heckman, James J. 1990. “Varieties of Selection Bias.” American Economic Review 80, no. 2: 313318.Google Scholar
Heckman, James J. 2005. “The Scientific Model of Causality.” Sociological Methodology 35, no. 1: 197.CrossRefGoogle Scholar
Heckman, James J., Smith, Jeffrey, and Clements, Nancy. 1997. “Making the Most out of Programme Evaluations and Social Experiments: Accounting for Heterogeneity in Programme Impacts.” The Review of Economic Studies 64, no. 4: 487535.CrossRefGoogle Scholar
Heckman, James J., Urzua, Sergio, and Vytlacil, Edward. 2006. “Understanding Instrumental Variables in Models with Essential Heterogeneity.” The Review of Economics and Statistics 88, no. 3: 389432.CrossRefGoogle Scholar
Heckman, James, and Vytlacil, Edward. 2005. “Structural Equations, Treatment, Effects and Econometric Policy Evaluation.” Econometrica 73, no. 3: 669738.CrossRefGoogle Scholar
Helm, David T. 2000. “The Measurement of Happiness.” American Journal on Mental Retardation 105, no. 5: 326335.2.0.CO;2>CrossRefGoogle ScholarPubMed
Hendry, David F. 2002. “Applied Econometrics without Sinning.” Journal of Economic Surveys 16, no. 4: 591604.CrossRefGoogle Scholar
Hendry, David F., and Krolzig, Hans-Martin. 2005. “The Properties of Automatic GETS Modelling.” The Economic Journal 115, no. 502: C32C61.CrossRefGoogle Scholar
Hendry, David F., Pagan, A. R., and Sargan, J. D.. 1984. “Dynamic specification.” Handbook of Econometrics 2: 10231100.CrossRefGoogle Scholar
Hilbe, Joseph M. 2011. Negative Binomial Regression. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Hills, Peter, and Argyle, Michael. 2002. “The Oxford Happiness Questionnaire: A Compact Scale for the Measurement of Psychological Well-being.” Personality and Individual Differences 33, no. 7: 10731082.CrossRefGoogle Scholar
Ho, D. E., Imai, K., King, G., and Stuart, E. A.. 2007. “Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference.” Political Analysis 15, no. 3: 199236.CrossRefGoogle Scholar
Hoeting, Jennifer A., Madigan, David, Raftery, Adrian E., and Volinsky, Chris T.. 1999. “Bayesian Model Averaging: A Tutorial.” Statistical Science 14, no. 4: 382401.Google Scholar
Hogan, Michael J. 1992. The End of the Cold War: Its Meaning and Implications. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Holland, Paul W. 1986. “Statistics and Causal Inference.” Journal of the American Statistical Association 81, no. 396: 945960.CrossRefGoogle Scholar
Honaker, James, and King, Gary. 2010. “What to do about Missing Values in Time-series Cross-section Data.” American Journal of Political Science 54, no. 2: 561581.CrossRefGoogle Scholar
Hoover, Kevin D., and Perez, Stephen J.. 1999. “Data Mining Reconsidered: Encompassing and the General-to-specific Approach to Specification Search.” The Econometrics Journal 2, no. 2: 167191.CrossRefGoogle Scholar
Hoover, Kevin D., and Perez, Stephen J.. 2004. “Truth and Robustness in Cross-country Growth Regressions.” Oxford Bulletin of Economics and Statistics 66, no. 5: 765798.CrossRefGoogle Scholar
Høyland, Bjørn, Moene, Karl, and Willumsen, Fredrik. 2012. “The Tyranny of International Index Rankings.” Journal of Development Economics 97, no. 1: 114.CrossRefGoogle Scholar
Hsee, Christopher K., and Tang, Judy Ningyu. 2007. “Sun and Water: On a Modulus-based Measurement of Happiness.” Emotion 7, no. 1: 213218.CrossRefGoogle Scholar
Hsiao, Cheng. 2003. Analysis of Panel Data. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Hsiao, Cheng, Mountain, Dean C., Chan, M. W. Luke, and Tsui, Kai Y.. 1989. “Modeling Ontario Regional Electricity System Demand Using a Mixed Fixed and Random Coefficients Approach.” Regional Science and Urban Economics 19, no. 4: 565587.CrossRefGoogle Scholar
Hsiao, Cheng, and Pesaran, M. Hashem. 2004. Random Coefficient Panel Data Models. Paper No. 4.2. Institute of Economic Policy Research (IEPR).CrossRefGoogle Scholar
Hsiao, Cheng, and Pesaran, M. Hashem. 2008. “Random Coefficient Models.” In Mátyás, László and Sevestre, Patrick (eds.), The Econometrics of Panel Data, pp. 185213. Berlin: Springer.CrossRefGoogle Scholar
Hug, Simon. 2003. “Selection Bias in Comparative Research: The Case of Incomplete Data Sets.” Political Analysis 11, no. 3: 255274.CrossRefGoogle Scholar
Huntington, Samuel P. 1996. The Clash of Civilizations and the Remaking of World Order. New York: Simon and Schuster.Google Scholar
Imai, Kosuke, Keele, Luke, Tingley, Dustin, and Yamamoto, Teppei. 2011. “Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies.” American Political Science Review 105, no. 4: 765789.CrossRefGoogle Scholar
Imai, Kosuke, King, Gary, and Stuart, Elizabeth A.. 2008. “Misunderstandings between Experimentalists and Observationalists about Causal Inference.” Journal of the Royal Statistical Society: Series A (Statistics in Society) 171, no. 2: 481502.CrossRefGoogle Scholar
Imbens, Guido W. 2010. “Better LATE than Nothing.” Journal of Economic Literature 48: 399423.CrossRefGoogle Scholar
Jaccard, James, and Turrisi, Robert. 2003. Interaction Effects in Multiple Regression. Thousand Oaks, London, New Delhi: Sage.CrossRefGoogle Scholar
Jackman, Simon. 1999. “Correcting Surveys for Non-response and Measurement Error using Auxiliary Information.” Electoral Studies 18, no. 1: 727.CrossRefGoogle Scholar
Jaggers, Keith, and Marshall, Monty. 2007. Polity IV Project: Political Regime Characteristics and Transitions, 1800–2007. Database Codebook. Center for Systemic Peace. http://www.systemicpeace.org/ (last access 3 April 2017).Google Scholar
Kam, Cindy, and Franzese, Robert J.. 2009. Modeling and Interpreting Interactive Hypotheses in Regression Analysis. Ann Arbor: University of Michigan Press.Google Scholar
Kammann, Richard, Farry, Marcelle, and Herbison, Peter. 1984. “The Analysis and Measurement of Happiness as a Sense of Well-being.” Social Indicators Research 15, no. 2: 91115.CrossRefGoogle Scholar
Katz, Michael L., and Shapiro, Carl. 1985. “Network Externalities, Competition, and Compatibility.” American Economic Review 75, no. 3: 424440.Google Scholar
Kaufman, D., Kraay, A., and Mastruzzi, M.. 2010. The Worldwide Governance Indicators: Methodology and Analysis. Working Paper no. 5430. World Bank Policy Research.Google Scholar
Keane, M. P. 2010. “Structural vs. Atheoretic Approaches to Econometrics.” Journal of Econometrics 156, no. 1: 320.CrossRefGoogle Scholar
Keefer, Philip, Neumayer, Eric, and Plümper, Thomas. 2011. “Earthquake Propensity and the Politics of Mortality Prevention.” World Development 39, no. 9: 15301541.CrossRefGoogle Scholar
Keefer, Philip, and Stasavage, David. 2002. “Checks and Balances, Private Information, and the Credibility of Monetary Commitments.” International Organization 56, no. 4: 751774.CrossRefGoogle Scholar
Keele, Luke John. 2008. Semiparametric Regression for the Social Sciences. Chichester: Wiley.Google Scholar
Kennedy, Peter. 2008. A Guide to Econometrics. Malden: Blackwell Publishing.Google Scholar
King, Gary, Honaker, James, Joseph, Anne, and Scheve, Kenneth. 2001. “Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation.” American Political Science Association 95, no. 1: 4969.CrossRefGoogle Scholar
King, Gary, Keohane, Robert O., and Verba, Sidney. 1994. Designing Social Inquiry: Scientific Inference in Qualitative Research. Princeton: Princeton University Press.CrossRefGoogle Scholar
King, Gary, and Zeng, Langche. 2001a. “Explaining Rare Events in International Relations.” International Organization 55, no. 3: 693715.CrossRefGoogle Scholar
King, Gary, and Zeng, Langche. 2001b. “Logistic Regression in Rare Events Data.” Political Analysis 9, no. 2: 137163.CrossRefGoogle Scholar
Kozma, Albert, and Stones, M. J.. 1980. “The Measurement of Happiness: Development of the Memorial University of Newfoundland Scale of Happiness (MUNSH).” Journal of Gerontology 35, no. 6: 906912.CrossRefGoogle ScholarPubMed
Krolzig, Hans-Martin, and Hendry, David F.. 2001. “Computer Automation of General-to-specific Model Selection Procedures.” Journal of Economic Dynamics and Control 25, no. 6: 831866.CrossRefGoogle Scholar
Kuha, Jouni, and Temple, Jonathan. 2003. “Covariate Measurement Error in Quadratic Regression.” International Statistical Review 71, no. 1: 131150.CrossRefGoogle Scholar
Kuznets, Simon. 1955. “Economic Growth and Income Inequality.” American Economic Review 45, no. 1: 128.Google Scholar
Kyung, Minjung, Gill, Jeff, and Casella, George. 2010. “Estimation in Dirichlet Random Effects Models.” The Annals of Statistics 38, no. 2: 9791009.CrossRefGoogle Scholar
Langbein, Laura, and Knack, Stephen. 2010. “The Worldwide Governance Indicators: Six, One, or None?Journal of Development Studies 46, no. 2: 350370.CrossRefGoogle Scholar
Lassen, David Dreyer, and Serritzlew, Søren. 2011. “Jurisdiction Size and Local Democracy: Evidence on Internal Political Efficacy from Large-scale Municipal Reform.” American Political Science Review 105, no. 2: 238258.CrossRefGoogle Scholar
Lau, Lawrence J. 1986. “Functional Forms in Econometric Model Building.” Handbook of Econometrics 3: 15151566.CrossRefGoogle Scholar
Leamer, Edward E. 1978. Specification Searches: Ad hoc Inference with Nonexperimental Data. Chichester: Wiley.Google Scholar
Leamer, Edward E. 1983. “Let’s Take the Con out of Econometrics.” American Economic Review 73, no. 1: 3143.Google Scholar
Leamer, Edward E. 1985. “Sensitivity Analyses Would Help.” American Economic Review 75, no. 3: 308313.Google Scholar
Lemons, John, Shrader-Frechette, Kristin, and Cranor, Carl. 1997. “The Precautionary Principle: Scientific Uncertainty and Type I and Type II Errors.” Foundations of Science 2, no. 2: 207236.CrossRefGoogle Scholar
Leung, Siu Fai, and Yu, Shihti. 1996. “On the Choice between Sample Selection and Two-part Models.” Journal of Econometrics 72, no. 1: 197229.CrossRefGoogle Scholar
Levine, Ross, and Renelt, David. 1992. “A Sensitivity Analysis of Cross-country Growth Regressions.” American Economic Review 82, no. 4: 942963.Google Scholar
Lewis, Brian N., and Cook, Jenny A.. 1968. “Some Comments and Recommendations Concerning Inter-coder Reliability.” Psychological Reports 22, no. 3c: 12131225.CrossRefGoogle ScholarPubMed
Lipsmeyer, Christine S., and Zhu, Ling. 2011. “Immigration, Globalization, and Unemployment Benefits in Developed EU States.” American Journal of Political Science 55, no. 3: 647664.CrossRefGoogle Scholar
Lohr, Sharon. 2009. Sampling: Design and Analysis. Boston: Cengage Learning.Google Scholar
Lukes, Steven. 1974. Power: A Radical View. London: Macmillan.CrossRefGoogle Scholar
Maddala, Gangadharrao S. 1998. “Recent Developments in Dynamic Econometric Modelling: A Personal Viewpoint.” Political Analysis 7: 5987.CrossRefGoogle Scholar
Magnus, Jan R. 1999. “The Success of Econometrics.” De Economist 147, no. 1: 5571.CrossRefGoogle Scholar
Manski, Charles F. 1990. “Nonparametric Bounds on Treatment Effects.” American Economic Review 80, no. 2: 319323.Google Scholar
Manski, Charles F. 1995. Identification Problems in the Social Sciences. Cambridge: Harvard University Press.Google Scholar
Martin, Cathie Jo, and Swank, Duane. 2004. “Does the Organization of Capital Matter? Employers and Active Labor Market Policy at the National and Firm Levels.” American Political Science Review 98, no. 4: 593611.CrossRefGoogle Scholar
Martin, Cathie Jo, and Swank, Duane. 2008. “The political origins of coordinated capitalism: Business organizations, party systems, and state structure in the age of innocence.” American Political Science Review 102, no. 2: 181198.CrossRefGoogle Scholar
McAleer, Michael. 1994. “Sherlock Holmes and the Search for Truth: A Diagnostic Tale.” Journal of Economic Surveys 8, no. 4: 317370.CrossRefGoogle Scholar
Montgomery, J. M., and Nyhan, B.. 2010. “Bayesian model averaging: Theoretical developments and practical applications.” Political Analysis 18, no. 2: 245270.CrossRefGoogle Scholar
Morgan, Stephen L., and Todd, Jennifer J.. 2008. “A Diagnostic Routine for the Detection of Consequential Heterogeneity of Causal Effects.” Sociological Methodology 38, no. 1: 231281.CrossRefGoogle Scholar
Morgan, Stephen L., and Winship, Christopher. 2015. Counterfactuals and Causal Inference, 2nd edn. Cambridge: Cambridge University Press.Google Scholar
Mukherjee, Bumba, and Singer, David Andrew. 2010. “International Institutions and Domestic Compensation: The IMF and the Politics of Capital Account Liberalization.” American Journal of Political Science 54, no. 1: 4560.CrossRefGoogle Scholar
Munck, Gerardo L., and Verkuilen, Jay. 2002. “Conceptualizing and Measuring Democracy Evaluating Alternative Indices.” Comparative Political Studies 35, no. 1: 534.Google Scholar
Neumayer, Eric. 2002. “Do Democracies Exhibit Stronger International Environmental Commitment? A Cross-country Analysis.” Journal of Peace Research 39, no. 2: 139164.CrossRefGoogle Scholar
Neumayer, Eric, and Plümper, Thomas. 2010. “Spatial Effects in Dyadic Data.” International Organization 64, no. 1: 145166.CrossRefGoogle Scholar
Neumayer, Eric, and Plümper, Thomas. 2011. “Foreign Terror on Americans.” Journal of Peace Research 48, no. 1: 317.CrossRefGoogle Scholar
Neumayer, Eric, and Plümper, Thomas. 2012. “Conditional Spatial Policy Dependence: Theory and Model Specification.” Comparative Political Studies 45, no. 7: 819849.CrossRefGoogle Scholar
Neumayer, Eric, and Plümper, Thomas. 2016a. “W.Political Science Research and Methods 4, no. 1: 175193.CrossRefGoogle Scholar
Neumayer, Eric, and Plümper, Thomas. 2016b. “Inequalities of Income and Inequalities of Longevity: A Cross-country Study.” American Journal of Public Health 106, no. 1: 160165.CrossRefGoogle ScholarPubMed
Neumayer, Eric, Plümper, Thomas, and Barthel, Fabian. 2014. “The Political Economy of Natural Disaster Damage.” Global Environmental Change 24: 819.CrossRefGoogle Scholar
Neumayer, Eric, Plümper, Thomas, and Epifanio, Mariaelisa. 2014. “The ‘Peer-effect’ in Counterterrorist Policies.” International Organization 68, no. 1: 211234.CrossRefGoogle Scholar
Nickell, S. 1981. Biases in Dynamic Models with Fixed Effects. Econometrica 49, no. 6: 14171426.CrossRefGoogle Scholar
Nielsen, Richard A., Findley, Michael G., Davis, Zachary S., Candland, Tara, and Nielson, Daniel L.. 2011. “Foreign Aid Shocks as a Cause of Violent Armed Conflict.” American Journal of Political Science 55, no. 2: 219232.CrossRefGoogle Scholar
Nordås, R., and Davenport, C.. 2013. “Fight the Youth: Youth Bulges and State Repression.” American Journal of Political Science 57, no. 4: 926940.CrossRefGoogle Scholar
Nordhaus, William D. 1975. “The Political Business Cycle.” Review of Economic Studies 42, no. 2: 169190.CrossRefGoogle Scholar
Nosek, B. A., et al. 2015. “Estimating the Reproducibility of Psychological Science.” Science 349, no. 6251: aac4716-1-aac4716-8.Google Scholar
Pan, Wei, and Frank, Kenneth A.. 2003. “A Probability Index of the Robustness of a Causal Inference.” Journal of Educational and Behavioral Statistics 28, no. 4: 315337.CrossRefGoogle Scholar
Peach, J. T., and Webb, J. L.. 1983. “Randomly specified macroeconomic models: Some implications for model selection.” Journal of Economic Issues 17, no. 3: 697720.CrossRefGoogle Scholar
Pearl, Judea. 2000. “Causal Inference without Counterfactuals: Comment.” Journal of the American Statistical Association 94, no. 450: 428431.Google Scholar
Pearl, Judea. 2015. “Detecting Latent Heterogeneity.” Sociological Methods and Research (published online; forthcoming in print). doi: 10.1177/0049124115600597.CrossRefGoogle Scholar
Pemstein, Daniel, Meserve, Stephen A., and Melton, James. 2010. “Democratic Compromise: A Latent Variable Analysis of Ten Measures of Regime Type.” Political Analysis 18, no. 4: 426449.CrossRefGoogle Scholar
Perkins, Richard, and Neumayer, Eric. 2013. “The Ties that Bind: The Role of Migrants in the Uneven Geography of International Telephone Traffic.” Global Networks 13, no. 1: 79100.CrossRefGoogle Scholar
Pesaran, M. Hashem, Pettenuzzo, Davide, and Timmermann, Allan. 2006. “Forecasting Time Series Subject to Multiple Structural Breaks.” The Review of Economic Studies 73, no. 4: 10571084.CrossRefGoogle Scholar
Pietryka, Matthew T., and MacIntosh, Randall C.. 2013. “An Analysis of ANES Items and Their Use in the Construction of Political Knowledge Scales.” Political Analysis 21, no. 4: 407429.CrossRefGoogle Scholar
Plümper, Thomas, and Neumayer, Eric. 2009. “Famine Mortality, Rational Political Inactivity, and International Food Aid.” World Development 37, no. 1: 5061.CrossRefGoogle Scholar
Plümper, Thomas, and Neumayer, Eric. 2010a. “The Level of Democracy during Interregnum Periods: Recoding the Polity2 Score.” Political Analysis 18, no. 2: 206226.CrossRefGoogle Scholar
Plümper, Thomas, and Neumayer, Eric. 2010b. “Model Specification in the Analysis of Spatial Dependence.” European Journal of Political Research 49, no. 3: 418442.CrossRefGoogle Scholar
Plümper, Thomas, and Neumayer, Eric. 2013. “Health Spending, Out-of-pocket Contributions, and Mortality Rates.” Public Administration 91, no. 2: 403418.CrossRefGoogle Scholar
Plümper, Thomas, Schneider, Christina J., and Troeger, Vera E.. 2006. “The Politics of EU Eastern Enlargement: Evidence from a Heckman Selection Model.” British Journal of Political Science 36, no. 1: 1738.CrossRefGoogle Scholar
Plümper, Thomas, and Traunmüller, Richard. 2016. “The Sensitivity of Sensitivity Tests.” Unpublished manuscript, Vienna and Frankfurt.Google Scholar
Plümper, Thomas, and Troeger, Vera E.. 2007. “Efficient Estimation of Time-invariant and Rarely Changing Variables in Finite Sample Panel Analyses with Unit Fixed Effects.” Political Analysis 15, no. 2: 124139.CrossRefGoogle Scholar
Plümper, Thomas, and Troeger, Vera E.. 2011. “Fixed-effects Vector Decomposition: Properties, Reliability, and Instruments.” Political Analysis 19, no. 2: 147164.CrossRefGoogle Scholar
Plümper, Thomas, and Troeger, Vera E.. 2016. “Fixed Effects Models and Dynamic Model Misspecification.” Unpublished manuscript, Warwick and Vienna.Google Scholar
Plümper, Thomas, Troeger, Vera E., and Manow, Philip. 2005. “Panel Data Analysis in Comparative Politics: Linking Method to Theory.” European Journal of Political Research 44, no. 2: 327354.CrossRefGoogle Scholar
Plümper, Thomas, Troeger, Vera E., and Winner, Hannes. 2009. “Why is There no Race to the Bottom in Capital Taxation?International Studies Quarterly 53, no. 3: 761786.CrossRefGoogle Scholar
Przeworski, Adam, Alvarez, M., Cheibub, J. A., and Limongi, F.. 2000. Democracy and Development: Political Institutions and Well-being in the World, 1950–1990. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Puhani, Patrick. 2000. “The Heckman Correction for Sample Selection and its Critique.” Journal of Economic Surveys 14, no. 1: 5368.CrossRefGoogle Scholar
Quine, Willard. 1951. Mathematical Logic. Cambridge: Harvard University Press.CrossRefGoogle Scholar
Rainey, C. 2014. “Arguing for a Negligible Effect.” American Journal of Political Science 58, no. 4: 10831091.CrossRefGoogle Scholar
Ravallion, Martin. 2012. “Fighting Poverty One Experiment at a Time: A Review of Abhijit Banerjee and Esther Duflo’s Poor Economics: A Radical Rethinking of the Way to Fight Global Poverty.” Journal of Economic Literature 50, no. 1: 103114.CrossRefGoogle Scholar
Rivera-Batiz, F. L. 1999. “Undocumented Workers in the Labor Market: An Analysis of the Earnings of Legal and Illegal Mexican Immigrants in the United States.” Journal of Population Economics 12, no. 1: 91116.CrossRefGoogle ScholarPubMed
Rodrik, Dani. 1996. “Understanding Economic Policy Reform.” Journal of Economic Literature 34, no. 1: 941.Google Scholar
Rosenbaum, Paul R. 1991. “A Characterization of Optimal Designs for Observational Studies.” Journal of the Royal Statistical Society, Series B 53, no. 3: 597610.CrossRefGoogle Scholar
Rosenbaum, Paul R. 2002. Observational Studies. New York: Springer.CrossRefGoogle Scholar
Rosenbaum, Paul R. 2010. Design of Observational Studies. New York: Springer.CrossRefGoogle ScholarPubMed
Royston, Patrick, and Altman, Douglas G.. 1994. “Regression using Fractional Polynomials of Continuous Covariates: Parsimonious Parametric Modelling.” Applied Statistics 43, no. 3: 429467.CrossRefGoogle Scholar
Rubin, Donald B. 1974. “Estimating Causal Effects of Treatments in Randomized and Nonrandomized Studies.” Journal of Educational Psychology 66, no. 5: 688.CrossRefGoogle Scholar
Rubin, Donald B. 1976. “Inference and Missing Data.” Biometrika 63, no. 3: 581592.CrossRefGoogle Scholar
Rubin, Donald B. 2008. “For Objective Causal Inference, Design Trumps Analysis.” The Annals of Applied Statistics 2, no. 3: 808840.CrossRefGoogle Scholar
Ruggeri, Andrea, Gizelis, Theodora-Ismene, and Dorussen, Han. 2011. “Events Data as Bismarck’s Sausages? Intercoder Reliability, Coders’ Selection, and Data Quality.” International Interactions 37, no. 3: 340361.CrossRefGoogle Scholar
Ryder, Norman B. 1964. “Notes on the Concept of a Population.” American Journal of Sociology 69, no. 5: 447463.CrossRefGoogle Scholar
Sala-i-Martin, Xavier X. 1997. “I just ran Two Million Regressions.” American Economic Review 82, no. 2: 178183.Google Scholar
Sala-i-Martin, Xavier X., Doppelhofer, Gernot, and Miller, Ronald I.. 2004. “Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach.” American Economic Review 94, no. 4: 813835.CrossRefGoogle Scholar
Salganik, Matthew J., and Heckathorn, Douglas D.. 2004. “Sampling and Estimation in Hidden Populations Using Respondent-driven Sampling.” Sociological Methodology 34, no. 1: 193240.CrossRefGoogle Scholar
Sartori, Anne E. 2003. “An Estimator for Some Binary-Outcome Selection Models without Exclusion Restrictions.” Political Analysis 11, no. 2: 111138.CrossRefGoogle Scholar
Schafer, Joseph L., and Graham, John W.. 2002. “Missing Data: Our View of the State of the Art.” Psychological Methods 7, no. 2: 147177.CrossRefGoogle ScholarPubMed
Scheve, Kenneth, and Slaughter, Matthew J.. 2004. “Economic Insecurity and the Globalization of Production.” American Journal of Political Science 48, no. 4: 662674.CrossRefGoogle Scholar
Schindler, Kati, and Brück, Tilman. 2011. The Effects of Conflict on Fertility in Rwanda. Discussion paper no. 1143. German Institute for Economic Research.CrossRefGoogle Scholar
Schleiter, Petra, and Morgan-Jones, Edward. 2009. “Constitutional Power and Competing Risks: Monarchs, Presidents, Prime Ministers, and the Termination of East and West European Cabinets.” American Political Science Review 103, no. 3: 496512.CrossRefGoogle Scholar
Schmitt, Carina. 2016. “Panel Data Analysis and Partisan Variables: How Periodization Does Influence Partisan Effects.” Journal of European Public Policy 23, no. 10: 14421459.CrossRefGoogle Scholar
Sekhon, Jasjeet S. 2007. Alternative Balance Metrics for Bias Reduction in Matching Methods for Causal Inference. Survey Research Center, University of California, Berkeley.Google Scholar
Sekhon, Jasjeet S. 2009. “Opiates for the Matches: Matching Methods for Causal Inference.” Annual Review of Political Science 12: 487508.CrossRefGoogle Scholar
Shadish, William R., Cook, Thomas D., and Campbell, Donald Thomas. 2002. Experimental and Quasi-experimental Designs for Generalized Causal Inference. Belmont: Wadsworth Cengage Learning.Google Scholar
Sieberer, Ulrich. 2011. “The Institutional Power of Western European Parliaments: A Multidimensional Analysis.” West European Politics 34, no. 4: 731754.CrossRefGoogle Scholar
Sigelman, Lee, and Zeng, Langche. 1999. “Analyzing Censored and Sample-selected Data with Tobit and Heckit models.” Political Analysis 8, no. 2: 167182.CrossRefGoogle Scholar
Simmons, J. P., Nelson, L. D., and Simonsohn, U.. 2011. “False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant.” Psychological Science 22, no. 11: 13591366.CrossRefGoogle ScholarPubMed
Solow, R. M. 1956. “A Contribution to the Theory of Economic Growth.” The Quarterly Journal of Economics 70, no. 1: 6594.CrossRefGoogle Scholar
Steenbergen, Marco, and Jones, Bradford. 2002. “Modeling Multilevel Data Structures.” American Journal of Political Science 46: 218237.CrossRefGoogle Scholar
Stegmüller, Daniel. 2011. “Apples and Oranges? The Problem of Equivalence in Comparative Research.” Political Analysis 19: 471487.CrossRefGoogle Scholar
Stevens, Stanley Smith. 1946. “On the Theory of Scales of Measurement.” Science 103: 677680.CrossRefGoogle ScholarPubMed
Strijbis, Oliver. 2013. “Prototypical Weighting toward a Solution for Macrosociological Comparisons of Fuzzy Cases.” Sociological Methods and Research 42, no. 4: 458482.CrossRefGoogle Scholar
Swamy, Paravastu A. V. B. 1970. “Efficient Inference in a Random Coefficient Regression Model.” Econometrica 38, no. 2: 311323.CrossRefGoogle Scholar
Temple, Jonathan R. W. 1998. “Robustness Tests of the Augmented Solow Model.” Journal of Applied Econometrics 13, no. 4: 361375.3.0.CO;2-1>CrossRefGoogle Scholar
Thomas, Melissa A. 2010. “What Do the Worldwide Governance Indicators Measure?European Journal of Development Research 22, no. 1: 3154.CrossRefGoogle Scholar
Tobler, Waldo R. 1970. “A Computer Movie Simulating Urban Growth in the Detroit Region.” Economic Geography 46: 234240.CrossRefGoogle Scholar
Treier, Shawn, and Jackman, Simon. 2008. “Democracy as a Latent Variable.” American Journal of Political Science 52, no. 1: 201217.CrossRefGoogle Scholar
Tsebelis, George. 1995. “Decision Making in Political Systems: Veto Players in Presidentialism, Parliamentarism, Multicameralism and Multipartyism.” British Journal of Political Science 25, no. 3: 289325.CrossRefGoogle Scholar
Tsebelis, George. 1999. “Veto Players and Law Production in Parliamentary Democracies: An Empirical Analysis.” American Political Science Review 93, no. 3: 591608.CrossRefGoogle Scholar
Tucker, Joshua A., Pacek, Alexander C., and Berinsky, Adam J.. 2002. “Transitional Winners and Losers: Attitudes toward EU Membership in Post-Communist Countries.” American Journal of Political Science 46, no. 3: 557571.CrossRefGoogle Scholar
Valliant, Richard, Dorfman, Alan H., and Royall, Richard M.. 2000. Finite Population Sampling and Inference: A Prediction Approach. Chichester: Wiley.Google Scholar
Vanhanen, Tatu. 2000. “A New Dataset for Measuring Democracy, 1810–1998.” Journal of Peace Research 37, no. 2: 251265.CrossRefGoogle Scholar
Vella, Francis. 1998. “Estimating Models with Sample Selection Bias: A Survey.” Journal of Human Resources 33, no. 1: 127169.CrossRefGoogle Scholar
Vreeland, James Raymond. 2008. “The Effect of Political Regime on Civil War.” Journal of Conflict Resolution 52, no. 3: 401425.CrossRefGoogle Scholar
Wansbeek, Tom, and Meijer, Erik. 2000. Measurement Error and Latent Variables in Econometrics. Amsterdam: Elsevier.Google Scholar
Jr.Ward, J. H. 1963. “Hierarchical Grouping to Optimize an Objective Function.” Journal of the American Statistical Association 58: 236244.CrossRefGoogle Scholar
Watters, John K., and Biernacki, Patrick. 1989. “Targeted Sampling: Options for the Study of Hidden Populations.” Social Problems 36, no. 4: 416430.CrossRefGoogle Scholar
Western, Bruce. 1998. “Causal Heterogeneity in Comparative Research: A Bayesian Hierarchical Modelling Approach.” American Journal of Political Science 42, no. 4: 1233.CrossRefGoogle Scholar
Wilson, Sven E., and Butler, Daniel M.. 2007. “A Lot More to Do: The Sensitivity of Time-series Cross-section Analyses to Simple Alternative Specifications.” Political Analysis 15, no. 2: 101123.CrossRefGoogle Scholar
Winship, Christopher, and Morgan, Stephen L.. 1999. “The Estimation of Causal Effects from Observational Data.” Annual Review of Sociology 25: 659706.CrossRefGoogle Scholar
Wooldridge, Jeffrey M. 2000. Introductory Econometrics: A Modern Approach, 1st edn. Cincinnati: South-Western Educational Publishing.Google Scholar
Wooldridge, Jeffrey M. 2010. Econometric Analysis of Cross Section and Panel Data. Cambridge: MIT Press.Google Scholar
Ziliak, S. T., and McCloskey, D. N.. 2008. The Cult of Statistical Significance: How the Standard Error Costs us Jobs, Justice, and Lives. Ann Arbor: University of Michigan Press.Google Scholar

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  • References
  • Eric Neumayer, London School of Economics and Political Science, Thomas Plümper
  • Book: Robustness Tests for Quantitative Research
  • Online publication: 20 September 2017
  • Chapter DOI: https://doi.org/10.1017/9781108233590.016
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  • Eric Neumayer, London School of Economics and Political Science, Thomas Plümper
  • Book: Robustness Tests for Quantitative Research
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  • Book: Robustness Tests for Quantitative Research
  • Online publication: 20 September 2017
  • Chapter DOI: https://doi.org/10.1017/9781108233590.016
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