Structural estimation and policy evaluation in developing countries

Annual Review of Economics

Volumn 2, Issue , 2010, Pages 21-50

  Todd, Petra E ^a   Wolpin, Kenneth I ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Development economics; Dynamic discrete choice models; Migration; Schooling

Indexed keywords

EID: 79952615182     PISSN: 19411383     EISSN: 19411391     Source Type: Journal    
DOI: 10.1146/annurev.economics.102308.124345     Document Type: Article

References (39)

1. Aguirregabiria V, Mira P. 2010. Dynamic discrete choice structural models: a survey. J. Econom. In press
2. Aiyagari SR. 1994. Uninsured idiosyncratic risk and aggregate saving. Q. J. Econ. 109:659-84
3. Attanasio O, Meghir C, Santiago A. 2005. Education choices in Mexico: using a structural model and a randomized experiment to evaluate Progresa. Work. Pap., University College, London
4. Behrman JR, Sengupta P, Todd PE. 2005. Progressing through PROGRESA: an impact assessment of a school subsidy experiment in rural Mexico. Econ. Dev. Cult. Change 54(1):237-75 (Pubitemid 41622611)
5. Bravo D, Mukhopadhyay S, Todd PE. 2009. Effects of a universal school voucher system on educational and labor market outcomes: evidence from Chile. Work. Pap., Univ. Pennsylvania
6. Colussi A. 2006. Migrants' networks: an estimable model of illegal Mexican migration. Work. Pap., Univ. Western Ontario, Canada
7. Deaton A. 1991. Saving and liquidity constraints. Econometrica 59(5):1221-48
8. Deaton A. 2009. Instruments of development: randomization in the Tropics and the search for the elusive keys to economic development. NBER Work. Pap. 14690
9. Dominitz J, Manski CF. 1996. Eliciting student expectations of the returns to schooling. J. Hum. Resour. 31(1) 1-26
10. Dominitz J, Manski CF. 1997. Using expectations data to study subjective income expectations. J. Am. Stat. Assoc. 92:855-67
11. Duflo E, Hanna E, Ryan S. 2008. Monitoring works: getting teachers to come to school. Work. Pap., MIT
12. Eckstein Z, Wolpin KI. 1989. The specification and estimation of dynamic stochastic discrete choice models: a survey. J. Hum. Resour. 24(4):562-98
13. Friedman M. 1955. The role of government in education. In Economics and the Public Interest, ed. RA Colo, pp. 123-44. New Jersey: Rutgers Univ. Press
14. Friedman M. 1962. Capitalism and Freedom. Princeton, NJ: Princeton Univ. Press
15. Gotz GA, McCall JJ. 1984. Estimating the Stay/Leave Decision in a Sequential Decision-Making Model. Santa Monica, CA: Rand Corp.
16. Heckman JJ. 1979. Sample selection bias as a specification error. Econometrica 47:153-62
17. Heckman JJ. 1981. The incidental parameters problem of initial conditions in estimating a discrete time-discrete data stochastic process and some Monte Carlo evidence. In Structural Analysis of Discrete Data with Econometric Applications, ed. CF Manski, D McFadden, pp. 179-97. Cambridge, MA: MIT Press
18. Heckman JJ, Urzua S. 2009. Comparing IV with structural models: What simple IV can and cannot identify. NBER Work. Pap. 14706
19. Kaboski JP, Townsend RM. 2007. Testing a structural model of credit constraints using a large-scale quasi-experimental microfinance initiative. Work. Pap., MIT
20. Keane M, Wolpin KI. 2007. Exploring the usefulness of a non-random holdout sample for model validation: welfare effects on female behavior. Int. Econ. Rev. 48:1351-78
21. Keane M, Wolpin KI. 2009. Empirical applications of discrete choice dynamic programming models. Rev. Econ. Dyn. 1:1-22
22. Lumsdaine RL, Stock JH, Wise DA. 1994. Pension plan provisions and retirement: men and women, medicare, and models. In Studies in the Economics of Aging, ed. DAWise, pp. 183-212. Chicago: Univ. Chicago Press
23. Manski CF. 2004. Measuring expectations. Econometrica 72(5):1329-76
24. McKee D. 2006. A dynamic model of retirement in Indonesia. PhD diss., Univ. Calif., los Angeles
25. Miller RA. 1984. Job matching and occupational choice. J. Polit. Econ. 92:1086-120
26. Miller RA. 1997. Estimating models of dynamic optimization with microeconomic data. In Handbook of Applied Econometrics: Microeconometrics, ed. MH Pesaran, P Schmidt, pp. 247-99. Oxford: Blackwell
27. Pakes A. 1986. Patents as options: some estimates of the value of holding European patent stocks. Econometrica 54(4):755-84
28. Rosenzweig MR, Wolpin KI. 1993. Credit market constraints, consumption smoothing, and the accumulation of durable production assets. J. Polit. Econ. 101(2):223-44
29. Rust J. 1987. Optimal replacement of GMC bus engines: an empirical model of Harold Zurcher. Econometrica 55(5) 999-1034
30. Rust J. 1994a. Numerical dynamic programming in economics. In Handbook of Computational Economics, ed. K Amman, J Rust, pp. 619-729. Amsterdam: North Holland
31. Rust J. 1994b. Structural estimation of Markov decision models. In Handbook of Econometrics, Vol. 4, ed. R Engle, D McFadden, pp. 3082-143. Amsterdam: North Holland
32. Schultz TP. 2004. School subsidies for the poor: evaluating the Mexican Progresa poverty program. J. Dev. Econ. 74(1):199-250 (Pubitemid 38562989)
33. Todd PE, Wolpin KI. 2006. Assessing the impact of a school subsidy program in Mexico: using a social experiment to validate a dynamic behavioral model of child schooling and fertility. Am. Econ. Rev. 96(5):1384-417
34. Todd PE, Wolpin KI. 2010. Ex-ante evaluation of social programs. Ann. Econ. Stat. In press
35. Van der Klaauw W. 2000. On the use of expectations data in estimating structural dynamic models: an analysis of career choices. Work. Pap., Univ. North Carolina, Chapel Hill
36. Vélez-Grajales V. 2009. Reforms to an individual account pension system and their effects on work and contribution decisions: the case of Chile. PhD diss., Univ. Pennsylvania, Philadelphia
37. Wise DA. 1985. Behavioral model verses experimentaion: the effects of housing subsidies on rent. In Methods of Operations Research, Vol. 50, ed. P Brucker, R Pauly, pp. 441-89. Konigstein: Verlag Anton Hain
38. Wolpin KI. 1984. A dynamic stochastic model of fertility and child mortality. J. Polit. Econ. 92:852-74
39. Wolpin KI. 1987. Estimating a structural search model: the transition from school to work. Econometrica 55(4):801-17