A detailed decomposition for nonlinear econometric models

Journal of Economic Inequality

Volumn 13, Issue 1, 2015, Pages 53-67

  Schwiebert, Jörg ^a  

^a LEUPHANA UNIVERSITY OF LÜNEBURG   (Germany)

Author keywords

Detailed decomposition; Limited dependent variable model; Logit; Nonlinear model; Probit; Tobit

Indexed keywords

EID: 84925515575     PISSN: 15691721     EISSN: 15738701     Source Type: Journal    
DOI: 10.1007/s10888-014-9291-x     Document Type: Article

References (21)

1. Amemiya, T.: Advanced econometrics. Basil Blackwell, Oxford (1986)
2. Bartle, R.G., Second edition: The elements of real analysis. Wiley, Chichester (1976)
3. Bauer, T., Sinning, M.: An extension of the Blinder-Oaxaca decomposition to nonlinear models. AStA. Adv. Stat. Anal. 92(2), 197–206 (2008)
4. Becker, S.O., Ichino, A.: Estimation of average treatment effects based on propensity scores. Stata J. 2(4), 358–377 (2002)
5. Blinder, A.S.: Wage discrimination: Reduced form and structural estimates. J. Hum. Resour. 8(4), 436–455 (1973)
6. Dehejia, R.H., Wahba, S.: Causal effects in nonexperimental studies: reevaluating the evaluation of training programs. J. Am. Stat. Assoc. 94(448), 1053–1062 (1999)
7. Even, W.E., Macpherson, D.A.: Plant size and the decline of unionism. Econ. Lett. 32(4), 393–398 (1990)
8. Even, W.E., Macpherson, D.A.: The decline of private-sector unionism and the gender wage gap. J. Hum. Resour. 28(2), 279–296 (1993)
9. Fairlie, R.W.: The absence of the African-American owned business: An analysis of the dynamics of self-employment. J. Labor. Econ. 17(1), 80–108 (1999)
10. Fairlie, R.W.: An extension of the Blinder-Oaxaca decomposition technique to logit and probit models. J. Econ. Soc. Meas. 30(4), 305–316 (2005)
11. Fitzenberger, B., Kohn, K., Wang, Q.: The erosion of union membership in Germany: determinants, densities, decompositions. J. Popul. Econ. 24(1), 141–165 (2011)
12. Fortin, N., Lemieux, T., Firpo, S.: Decomposition methods in Economics. In: Ashenfelter, O., Card, D. (eds.) Volume 4A of Handbook of Labor Economics, chapter 1, pp. 1–102. Elsevier, Amsterdam (2011)
13. Greene, W.H., 7th edition: Econometric Analysis. Pearson, Boston, Mass (2012)
14. Horowitz, J.: The bootstrap. In: Heckman, J.J., Leamer, E. (eds.) Volume 5 of Handbook of Econometrics chapter 52, pp 3159–3228. Elsevier, Amsterdam (2001)
15. Jann, B.: fairlie: Stata module to generate nonlinear decomposition of binary outcome differentials Available fromhttp://ideas.repec.org/c/boc/bocode/s456727.html (2006)
16. LaLonde, R.J.: Evaluating econometric evaluations of training programs with experimental data. Am. Econ. Rev. 76(4), 604–620 (1986)
17. Nopo, H.: Matching as a tool to decompose wage gaps. Rev. Econ. Stat. 90(2), 290–299 (2008)
18. Oaxaca, R.L.: Male-female wage differentials in urban labor markets. Int. Econ. Rev. 14(3), 693–709 (1973)
19. Oaxaca, R.L., Ransom, M.R.: On discrimination and the decomposition of wage differentials. J. Econom. 61(1), 5–21 (1994)
20. Shorrocks, A.F.: Decomposition procedures for distributional analysis: a unified framework based on the Shapley value. J. Econ. Inequal. 11, 99–126 (2013)
21. Yun, M.-S.: Decomposing differences in the first moment. Econ. Lett. 82(2), 275–280 (2004)