Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-26T09:10:33.430Z Has data issue: false hasContentIssue false

MEASURING THE IMPACT OF FINANCIAL INTERMEDIATION: LINKING CONTRACT THEORY TO ECONOMETRIC POLICY EVALUATION

Published online by Cambridge University Press:  15 September 2009

Robert M. Townsend*
Affiliation:
Massachusetts Institute of Technology
Sergio S. Urzua
Affiliation:
Northwestern University
*
Address correspondence to: Robert M. Townsend, Elizabeth and James Killian Professor of Economics at MIT and Research Associate at the University of Chicago, 50 Memorial Drive, Cambridge, MA 02142, USA; e-mail: [email protected].

Abstract

We study the impact that financial intermediation can have on productivity through the alleviation of credit constraints in occupation choice and/or an improved allocation of risk, using both static and dynamic structural models as well as reduced-form OLS and IV regressions. Our goal in this paper is to bring these two strands of the literature together. Even though, under certain assumptions, IV regressions can accurately recover the true model-generated local average treatment effect, this is quantitatively different, in order of magnitude and even sign, from other policy impact parameters (e.g., ATE and TT). We also show that laying out clearly alternative models can guide the search for instruments. On the other hand, adding more margins of decision, that is, occupation choice and intermediation jointly, or adding more periods with promised utilities as key state variables, as in optimal multiperiod contracts, can cause the misinterpretation of IV as the causal effect of interest.

Type
Articles
Copyright
Copyright © Cambridge University Press 2009

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.)

References

REFERENCES

Alem, Mauro and Townsend, Robert (2008) An Evaluation of Safety Nets and Financial Institutions in Crisis and Growth. Unpublished manuscript, Department of Economics, University of Chicago.Google Scholar
Felkner, John and Townsend, Robert M. (2007) Enterprise and the Wealth of Villages. Unpublished manuscript, University of Chicago.Google Scholar
Gine, Xavier and Townsend, Robert (2004) Evaluation of financial liberalization: A general equilibrium model with constrained occupation choice. Journal of Development Economics 74, 269307.Google Scholar
Greenwood, Jeremy and Jovanovic, Boyan (1999) Financial development, growth, and the distribution of income. Journal of Political Economy 98, 10761107.Google Scholar
Heckman, James J. and Bo, E. Honoré (1990) The empirical content of the Roy model. Econometrica 58, 11211149.Google Scholar
Heckman, James J., Schmierer, Daniel and Urzua, Sergio (2008) Testing the Correlated Random Coefficient Model. Unpublished manuscript, Department of Economics, University of Chicago; Journal of Econometrics, in press.Google Scholar
Heckman, James J., Urzua, Sergio and Vytlacil, Edward J. (2006) Understanding instrumental variables in models with essential heterogeneity. Review of Economics and Statistics 88, 389432.Google Scholar
Heckman, James J. and Vytlacil, Edward J. (2001) Local instrumental variables. In Hsiao, Cheng, Morimune, Kimio, and Powell, James L. (eds.), Nonlinear Statistical Modeling: Proceedings of the Thirteenth International Symposium in Economic Theory and Econometrics: Essays in Honor of Takeshi Amemiya, pp. 146. New York: Cambridge University Press.Google Scholar
Imbens, Guido W. and Angrist, Joshua D. (1994) Identification and estimation of local average treatment effects. Econometrica 62, 467475.Google Scholar
Jeong, Hyeok and Townsend, Robert (2008) Growth and inequality: Model evaluation based on an estimation–calibration strategy. Macroeconomic Dynamics 12, 231284.Google Scholar
Kaboski, Joseph P. and Townsend, Robert M. (2005) Policies and impact: An analysis of village-level microfinance institutions. Journal of the European Economic Association 3, 150.CrossRefGoogle Scholar
Kaboski, Joseph P. and Townsend, Robert M. (2009) The Impact of Credit on Village Economies. Unpublished manuscript, Ohio State University.CrossRefGoogle Scholar
Karaivanov, Alexander K. and Townsend, Robert M. (2009) Enterprise Dynamics and Finance: Distinguishing Mechanism Design from Exogenously Incomplete Markets Models. Unpublished manuscript, Department of Economics, Simon Fraser University.Google Scholar
Lloyd-Ellis, Huw and Bernhardt, Dan (2000) Enterprise, inequality and economic development. Review of Economic Studies 67, 147168.Google Scholar
Matzkin, Rosa L. (1992) Nonparametric and distribution-free estimation of the binary threshold crossing and the binary choice models. Econometrica 60, 239270.CrossRefGoogle Scholar
Olken, Benjamin (2007) Monitoring corruption: Evidence from a field experiment in Indonesia. Journal of Political Economy 115, 200249.Google Scholar
Paulson, Anna L., Townsend, Robert M. and Karaivanov, Alex (2006) Distinguishing limited liability from moral hazard in a model of entrepreneurship. Journal of Political Economy 114, 100144.Google Scholar
Roy, A.D. (1951) Some thoughts on the distribution of earnings. Oxford Economic Papers 3, 135146.Google Scholar
Rubin, Donald B. (1974) Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of Educational Psychology 66, 688701.Google Scholar
Salop, Steven C. (1979) Strategic entry deterrence. American Economic Review 69, 335338.Google Scholar
Townsend, Robert M. and Ueda, Kenichi (2006) Financial deepening, inequality, and growth: A model-based quantitative evaluation. Review of Economic Studies 73, 251293.Google Scholar
Townsend, Robert M. and Ueda, Kenichi (in press) Welfare gains from Financial liberalization. International Economic Review.Google Scholar
Vissing-Jorgensen, Annette (2002) Towards an Explanation of Household Portfolio Choice Hetero- Geneity: Nonfinancial Income and Participation Cost Structures. Working Paper 8884, National Bureau of Economic Research.CrossRefGoogle Scholar
Yitzhaki, Shlomo (1989) On Using Linear Regression in Welfare Economics. Working Paper 217, Department of Economics, Hebrew University.Google Scholar