Modeling household fertility decisions with generalized Poisson regression

Journal of Population Economics

Volumn 10, Issue 3, 1997, Pages 273-283

  Wang, Weiren ^a   Famoye, Felix ^b  

^a UNIVERSITY OF KENTUCKY   (United States)

^b CENTRAL MICHIGAN UNIVERSITY   (United States)

Author keywords

Dispersion; Fertility decision; Generalized poisson model; Goodness of fit

Indexed keywords

EID: 0031287639     PISSN: 09331433     EISSN: None     Source Type: Journal    
DOI: 10.1007/s001480050043     Document Type: Article

References (20)

1. Akaike H (1973) Information theory and an extension of the likelihood ratio principle. In: Petrov BN, Csaki F (eds) Proceedings of the second international symposium of information theory. Akademiai Kiado, Budapest
2. Barmby T, Cigno A (1990) A sequential probability model of fertility patterns. Journal of Population Economics 3:31-51
3. Becker GS (1960) An economic analysis of fertility: Demographic and economic changes in developed countries. Princeton University Press and the National Bureau of Economic Research, Princeton, NJ
4. Becker GS (1981) A treatise on the family. Harvard University Press, Cambridge, MA
5. Becker GS, Lewis HG (1973) On the interaction between the quantity and quality of children. Journal of Political Economy 81:279-288
6. Browning M (1992) Children and household economic behavior. Journal of Economic Literature 30:1434-1475
7. Cameron AC, Trivedi PK (1986) Econometric models based on count data: Comparisons and applications of some estimators and tests. Journal of Applied Econometrics 1:29-53
8. Caudill SB, Mixon Jr FG (1995) Modeling household fertility decisions: Estimation and testing of censored regression models for count data. Empirical Economics 20:183-196
9. Englin J, Shonkwiler JS (1995) Estimating social welfare using count data: An application to long-run recreation demand under conditions of endogenous stratification and truncation. Review of Economics and Statistics 77:104-112
10. Famoye F (1993) Restricted generalized poisson regression model. Communications in Statistics - Theory and Methods 22:1335-1354
11. Goodwin T, Sauer R (1995) Life table productivity in academic research: Evidence from cumulative publication histories of academic economists. Southern Economic Journal 61:728-743
12. Heckman J, Walker J (1990) The relationship between wages and income and the timing and spacing of births: Evidence from Swedish longitudinal data. Econometrica 52:909-938
13. Institute for Social Research, The University of Michigan (1992) A Panel Study of Income Dynamics. Ann Arbor, MI
14. King G (1989) Variance specification in event count models: From restrictive assumptions to a generalized estimator. American Journal of Political Science 33:762-784
15. Leibowitz A (1974) Home investment in children. Journal of Political Economy 82:111-131
16. Manton KG, Woodbury MA, Stallard E (1981) A variance components approach to categorical data models with heterogeneous cell populations: Analysis of spatial gradients in lung cancer mortality rates in North Carolina counties. Biometrics 37:259-269
17. Merkle L, Zimmermann KF (1992) The demographics of labor turnover: A comparison of ordinal probit an censored count data models. Recherches Economiques de Louvain 58: 283-307
18. Sobel ME, Arminger G (1992) Modeling household fertility decisions: A nonlinear simultaneous probit model. Journal of the American Statistical Association 87:38-47
19. Winkelmann R, Zimmermann KF (1994) Count data models for demographic data. Mathematical Population Studies 4:205-221
20. Winkelmann R, Zimmermann KF (1995) Recent developments in count data modelling: Theory and application. Journal of Economic Surveys 9:1-24