Poverty traps and nonlinear income dynamics with measurement error and individual heterogeneity
Theories of poverty traps stand in sharp contrast to the view that anybody can make it through hard work and thrift. However, empirical detection of poverty traps is complicated by the lack of long panels, measurement error and attrition. This paper shows how dynamic pseudo-panel methods can overcome these difficulties, allowing estimation of nonlinear income dynamics and testing of the presence of poverty traps. The paper explicitly allows for heterogeneity in income dynamics, to account for the possibility that particular groups of individuals may face traps, even if the average individual does not. These methods are used to examine the evidence for a poverty trap in labour earnings, income and expenditure in urban Mexico and are compared to panel data estimates from a short rotating panel. The results do find evidence of nonlinearities in household income dynamics, and demonstrate large bias in the panel data estimates. Nevertheless, even after allowing for heterogeneity and accounting for measurement error, we find no evidence for the existence of a poverty trap for any group in our sample.
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Volume (Year): 43 (2007)
Issue (Month): 6 ()
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Antman, Francisca & McKenzie, David J., 2005.
"Earnings mobility and measurement error : a pseudo-panel approach,"
Policy Research Working Paper Series
3745, The World Bank.
- Francisca Antman & David J. McKenzie, 2007. "Earnings Mobility and Measurement Error: A Pseudo-Panel Approach," Economic Development and Cultural Change, University of Chicago Press, vol. 56, pages 125-161.
- Jalan, Jyotsna & Ravallion, Martin, 2001.
"Household income dynamics in rural China,"
Policy Research Working Paper Series
2706, The World Bank.
- Oded Galor & Joseph Zeira, 1993.
"Income Distribution and Macroeconomics,"
Review of Economic Studies,
Oxford University Press, vol. 60(1), pages 35-52.
- Dilip Mookherjee & Debraj Ray, 2002.
"Contractual Structure and Wealth Accumulation,"
American Economic Review,
American Economic Association, vol. 92(4), pages 818-849, September.
- Dilip Mookherjee & Debraj Ray, 2000. "Contractual Structure and Wealth Accumulation," Econometric Society World Congress 2000 Contributed Papers 1538, Econometric Society.
- Dilip Mookherjee & Debraj Ray, 2000. "Contractual Structure and Wealth Accumulation," Boston University - Institute for Economic Development 107, Boston University, Institute for Economic Development.
- Abhijit V. Banerjee & Andrew F. Newman, 1990.
"Occupational Choice and the Process of Development,"
911, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Banerjee, Abhijit V & Newman, Andrew F, 1993. "Occupational Choice and the Process of Development," Journal of Political Economy, University of Chicago Press, vol. 101(2), pages 274-98, April.
- Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843 Elsevier.
- Lybbert, Travis J. & Barrett, Christopher B. & Desta, Solomon & Coppock, D. Layne, 2002.
"Stochastic Wealth Dynamics And Risk Management Among A Poor Population,"
14736, Cornell University, Department of Applied Economics and Management.
- Travis J. Lybbert & Christopher B. Barrett & Solomon Desta & D. Layne Coppock, 2004. "Stochastic wealth dynamics and risk management among a poor population," Economic Journal, Royal Economic Society, vol. 114(498), pages 750-777, October.
- McKenzie, David J & Woodruff, Christopher, 2006.
"Do Entry Costs Provide an Empirical Basis for Poverty Traps? Evidence from Mexican Microenterprises,"
Economic Development and Cultural Change,
University of Chicago Press, vol. 55(1), pages 3-42, October.
- David J. McKenzie & Christopher Woodruff, 2006. "Do Entry Costs Provide an Empirical Basis for Poverty Traps? Evidence from Mexican Microenterprises," Economic Development and Cultural Change, University of Chicago Press, vol. 55, pages 3-42.
- Manuel Arellano & Stephen Bond, 1991.
"Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations,"
Review of Economic Studies,
Oxford University Press, vol. 58(2), pages 277-297.
- Tom Doan, . "RATS program to replicate Arellano-Bond 1991 dynamic panel," Statistical Software Components RTZ00169, Boston College Department of Economics.
- Moffitt, Robert, 1993. "Identification and estimation of dynamic models with a time series of repeated cross-sections," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 99-123, September.
- Dasgupta, Partha, 1997. "Nutritional status, the capacity for work, and poverty traps," Journal of Econometrics, Elsevier, vol. 77(1), pages 5-37, March.
- Bound, John & Krueger, Alan B, 1991.
"The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?,"
Journal of Labor Economics,
University of Chicago Press, vol. 9(1), pages 1-24, January.
- John Bound & Alan B. Krueger, 1989. "The Extent of Measurement Error In Longitudinal Earnings Data: Do Two Wrongs Make A Right?," NBER Working Papers 2885, National Bureau of Economic Research, Inc.
- Costas Aariadis & John Stachurski, 2004.
Department of Economics - Working Papers Series
913, The University of Melbourne.
- Dolores Collado, M., 1997. "Estimating dynamic models from time series of independent cross-sections," Journal of Econometrics, Elsevier, vol. 82(1), pages 37-62.
- Lokshin Michael & Ravallion Martin, 2004. "Household Income Dynamics in Two Transition Economies," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(3), pages 1-33, September.
- Qi Li & Thomas J. Kniesner, 2002. "Nonlinearity in dynamic adjustment: Semiparametric estimation of panel labor supply," Empirical Economics, Springer, vol. 27(1), pages 131-148.
- Michael Carter & Christopher Barrett, 2006. "The economics of poverty traps and persistent poverty: An asset-based approach," Journal of Development Studies, Taylor & Francis Journals, vol. 42(2), pages 178-199.
- Dasgupta, Partha & Ray, Debraj, 1986. "Inequality as a Determinant of Malnutrition and Unemployment: Theory," Economic Journal, Royal Economic Society, vol. 96(384), pages 1011-34, December.
- John Strauss & Duncan Thomas, 1998.
"Health, Nutrition, and Economic Development,"
Journal of Economic Literature,
American Economic Association, vol. 36(2), pages 766-817, June.
- Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
- Maitreesh Ghatak & Massimo Morelli & Tomas Sjöström, 2001. "Occupational Choice and Dynamic Incentives," Review of Economic Studies, Oxford University Press, vol. 68(4), pages 781-810.
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