Hostname: page-component-586b7cd67f-dlnhk Total loading time: 0 Render date: 2024-11-25T07:25:08.147Z Has data issue: false hasContentIssue false
  • English
  • Français

The Measurement of Real-Time Perceptions of Financial Stress: Implications for Political Science

Published online by Cambridge University Press:  27 October 2017

Christopher Gandrud  and
Mark Hallerberg
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'

Keywords

financial crisiseconomic policy makingbankingelectoral volatilitynatural language processing
Type
Notes and Comments
Information
British Journal of Political Science , Volume 49 , Issue 4 , October 2019 , pp. 1577 - 1589
Copyright
© Cambridge University Press 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

*

Institute for Quantitative Social Science, Harvard University; International Politics, City, University of London, and Hertie School of Governance (email: [email protected]); Hertie School of Governance (email: [email protected]). Thanks to Nicole Rae Baerg, Vincent Arel-Bundock, Ronen Palan, Stefano Pagliari, David Singer, participants at the 2015 American Political Science Association Annual Conference, the 2015 International Political Economy Society Conference, City, University of London work in progress series, and two anonymous reviewers for helpful comments. We also thank Sahil Deo and Christian Franz for early research assistance. Our research is generously supported by the Deutsche Forschungsgemeinschaft (No. HA5996/2-1). Data replication sets are available in Harvard Dataverse at: https://dx.doi.org/10.7910/DVN/GSJO9Q and an online appendix is available at: https://doi.org/10.1017/S0007123417000291.

References

Broz, J. Lawrence. 2013. Partisan Financial Cycles. In Politics in the New Hard Times: The Great Recession in Comparative Perspective, edited by David L. Lake and Miles Kahler, 75–101. Ithaca, NY: Cornell University Press.Google Scholar
Chaudron, Raymond, and Haan, Jakob de. 2014. Dating Banking Crises Using Incidence and Size of Bank Failures: Four Crises Reconsidered. Journal of Financial Stability 63–75.Google Scholar
Chwieroth, Jeffrey, and Walter, Andrew. 2015. Great Expectations, Veto Players, and the Changing Politics of Banking Crises. LSE Systemic Risk Centre Discussion Paper Series. Avaliable from http://www.systemicrisk.ac.uk/publications/discussion-papers/great-expectations-veto-players-and-changing-politics-banking-crises, accessed 30 June 2017.Google Scholar
Crespo-Tenorio, Adriana, Jensen, Nathan M., and Rosas, Guillermo. 2014. Political Liabilities: Surviving Banking Crises. Comparative Political Studies 47 (7):1047–1174.Google Scholar
Danielsson, Jon, Valenzuela, Marcela, and Zer, Ilknur. 2015. Learning from History: Volatility and Financial Crises. LSE Systemic Risk Centre Working Paper, September. Available from http://www.riskresearch.org/files/DanielssonValenzuelaZer2015.pdf, accessed 30 June 2017.Google Scholar
Emanuele, Vincenzo. 2015. Dataset of Electoral Volatility and its Internal Components in Western Europe (1945–2015). Italian Center for Electoral Studies. Available from http://dx.doi.org/10.78S2/1112, accessed 15 May 2016.Google Scholar
Fielding, David, and Rewilak, Johan. 2015. Credit Booms, Financial Fragility and Banking Crises. Economics Letters 136:233–236.Google Scholar
Funke, Manuel, Schularick, Moritz, and Trebesch, Christoph. 2015. Politics in the Slump: Polarization and Extremism after Financial Crises, 1870–2014. Working Paper. Available from http://www.econ.cam.ac.uk/people/cto/km418/partIIb/Reading/Kane_170221.pdf, accessed 30 June 2017.Google Scholar
Gandrud, Christopher. 2013. The Diffusion of Financial Supervisory Governance Ideas. Review of International Political Economy 20 (4):881–916.Google Scholar
Gandrud, Christopher. 2014. Competing Risks and Deposit Insurance Governance Convergence. International Political Science Review 35 (2):197–215.Google Scholar
Gandrud, Christopher. 2017. “Replication Data for: The Measurement of Real-Time Perceptions of Financial Stress: Implications for Political Science”, https://dx.doi.org/10.7910/DVN/GSJO9Q, Harvard Dataverse, V1.Google Scholar
Gandrud, Christopher, and Hallerberg, Mark. 2015. When All is Said and Done: Updating ‘Elections, Special Interests, and Financial Crisis’. Research and Politics 2 (3):1–9.Google Scholar
Gandrud, Christopher, and Hallerberg, Mark. 2017. Interpreting Fiscal Accounting Rules in the European Union. Journal of European Public Policy 24 (6):832–851.Google Scholar
Grimmer, Justin, and Stewart, Brandon M.. 2013. Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts. Political Analysis 21 (3):267–297.Google Scholar
Ha, Eunyoung, and Kang, Myung-koo. 2015. Government Policy Responses to Financial Crises: Identifying Patterns and Policy Origins in Developing Countries. World Development 68:264–281.Google Scholar
Hernández, Enrique, and Kriesi, Hanspeter. 2015. The Electoral Consequences of the Financial and Economic Crisis in Europe. European Journal of Political Research 55 (2):203–224.Google Scholar
Herrera, Helios, Ordonez, Guillermo, and Trebesch, Christoph. 2014. Political Booms, Financial Crises. Cambridge, MA: National Bureau of Economic Research. Available from http://www.nber.org/papers/w20346.Google Scholar
Karatzoglou, Alexandros, Smola, Alex, Hornik, Kurt, and Zeileis, Achim. 2004. An S4 Package for Kernel Methods. Journal of Statistical Software 11 (9):1–20. http://www.jstatsoft.org/v11/i09/.Google Scholar
Keefer, Philip. 2007. Elections, Special Interests, and Financial Crisis. International Organization 61 (3):607–641.Google Scholar
Kleibl, Johannes. 2013. The Politics of Financial Regulatory Agency Replacement. Journal of International Money and Finance 75 (2):552–566.Google Scholar
Kliesen, Kevin L., Owyang, Michael T., and Vermann, E. Katarina. 2012. Disentangling Diverse Measures: A Survey of Financial Stress Indexes. Federal Reserve Bank of St. Louis Review, September/October:1–31. Available from https://research.stlouisfed.org/publications/review/12/09/369-398Kliesen.pdf.Google Scholar
Laeven, Luc, and Valencia, Fabián. 2013. Systemic Banking Crisis Database. IMF Economic Review 61 (2):225–270.Google Scholar
Leek, Jeffrey T., and Peng, Roger D.. 2015. P Values Are Just the Tip of the Iceberg. Nature 520 (April):612.Google Scholar
Lodhi, Huma, Saunders, Craig, Shawe-Taylor, John, Cristianini, Nello, and Watkins, Chris. 2002. Text Classification Using String Kernels. The Journal of Machine Learning Research 2:419–444.Google Scholar
Mainwaring, Scott, Gervasoni, Carlos, and Espana-Najera, Annabella. Forthcoming. Extra- and Within-System Electoral Volatility. Party Politics 1–13.Google Scholar
McGrath, Liam F. 2015. Estimating Onsets of Binary Events in Panel Data. Political Analysis 23 (4):534–549.Google Scholar
Minhas, Shahryar, Ulfelder, Jay, and Ward, Michael D. 2015. Mining Texts To Efficiently Generate Global Data On Political Regime Types. Research and Politics 2 (3):1–8.Google Scholar
Pepinsky, Thomas B. 2012. The Global Economic Crisis and the Politics of Non-Transitions. Government and Opposition 47 (2):135–161.Google Scholar
Reinhart, Carmen, and Rogoff, Kenneth. 2009. This Time is Different: Eight Centuries of Financial Folly. Princeton, NJ: Princeton University Press.Google Scholar
Reinhart, Carmen, and Rogoff, Kenneth. 2010. This Time is Different Chartbook: Country Histories on Debt, Default, and Financial Crises. Cambridge, MA: National Bureau of Economic Research. Available from http://www.nber.org/papers/w15815; http://www.carmenreinhart.com/data/, accessed February 2014.Google Scholar
Reischmann, Markus. 2016. Creative Accounting and Electoral Motives: Evidence from OECD Countries. Journal of Comparative Economics 44 (2):243–257. http://www.sciencedi rect.com/science/article/pii/S0147596715000591.Google Scholar
Romer, Christina, and Romer, David. 2015. New Evidence on the Impact of Financial Crises in Advanced Countries (April):1–65. Available from http://eml.berkeley.edu//~cromer/RomerandRomerFinancialCrises.pdf, accessed April 2015.Google Scholar
Rosas, Guillermo. 2006. Bagehot or Bailout? An Analysis of Government Responses to Banking Crises. American Journal of Political Science 50 (1):175–191.Google Scholar
Rosas, Guillermo. 2009. Curbing Bailouts: Bank Crises and Democratic Accountability in Comparative Perspective. Ann Arbor: University of Michigan Press.Google Scholar
Scholkopf, B., Smola, A., and Muller, K.. 1998. Nonlinear Component Analysis as a Kernel Eigenvalue Problem. Neural Computation 10:1299–1319.Google Scholar
Spirling, Arthur. 2012. U.S. Treaty Making with American Indians: Institutional Change and Relative Power, 1784–1911. American Journal of Political Science 56 (1):84–97.Google Scholar
Zhang, Rui, Wang, Wenjian, and Ma, Yichen. 2010. Approximations of the Standard Principal Components Analysis and Kernel PCA. Expert Systems with Applications 37 (9):6531–6537.Google Scholar
Supplementary material: Link

Gandrud and Hallerberg Dataset

Dataset

https://dx.doi.org/10.7910/DVN/GSJO9Q
Link
Supplementary material: PDF

Gandrud and Hallerberg supplementary material

Online Appendix

Download Gandrud and Hallerberg supplementary material(PDF)
PDF 1 MB