Limited dependent variables in economic data analysis: an application to fertility behavior and labor force participation of married women, 1973
| dc.contributor.advisor | Canlas, Dante B. | |
| dc.contributor.author | Aquino, Edwina R. | |
| dc.date.accessioned | 2024-09-05T06:01:23Z | |
| dc.date.available | 2024-09-05T06:01:23Z | |
| dc.date.issued | 1980 | |
| dc.description.abstract | Single equation models on the fertility and labor force participation of married women using ordinary least squares (OLS) as an estimation technique can be viewed as subject to some limitations due to the presence of limited dependent variables. This paper considers logit as an alternative technique in the reestimation of such models; the specifications are adopted from previous empirical studies. The results reveal that the logit estimates obtained agree with OLS estimates in terms of signs of the coefficients and significance of the variables. This conforms with the findings of some studies that there is virtually no difference between the two estimation techniques. However, this paper extends the comparison between OLS and logit by examining impact multipliers and evaluating selected probabilities on decisions regarding fertility behavior and market participation. The findings are that, relative to logit, OLS tends to significantly overstate the effects of a number of determinants of fertility and wife's employment. Moreover, OLS predicted probabilities are either under- or overstated. These results suggest the importance of taking into account not only the signs but also the magnitude of the estimated effects of the explanatory variables so as to arrive at more accurate predictions on decisions regarding fertility and market participation of married women. | |
| dc.identifier.uri | https://selib.upd.edu.ph/etdir/handle/123456789/294 | |
| dc.language.iso | en | |
| dc.title | Limited dependent variables in economic data analysis: an application to fertility behavior and labor force participation of married women, 1973 | |
| dc.type | Thesis |