Abstract
Before we venture into the empirical exercise, it may be pertinent to consider some statistical aspects of the variables used in our models. First we look at some simple statistical properties. Here all variables are expressed in average state-level figures.
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- 1.
It can be genuinely argued that the difference between these two proportions is statistically insignificant. However even then the puzzle remains. Women in traditional society are believed to have comparative advantage in home based activities than their male counterpart.
- 2.
Infact we are trying to estimate the Eq. (4.6) derived earlier. Two types of regressions—linear and log-linear are used in our analysis.
- 3.
We preferred the Cobb-Douglas form instead of other flexible functional forms since the coefficients and shadow price derived from it lends itself to easy interpretation. This interpretation of shadow price is useful because we use it for estimation of female participation function.
- 4.
However Abdulai and Regmi (2000) have found no significant differences in male–female Productivity by incorporating time allocated for household purposes in their estimation of labour supply functions. This may however reflect an inherent heterogeneity between time allocated for household chores and that allocated for productivity effort. For females, the former may include a greater intensity of effort per unit of time allocated.
References
Becker G (1985) Human capital, effort and sexual division of labor. J Labor Econ 3(1):33–58
Abdulai A, Regmi PP (2000) Estimating labor supply of farm households under non-separability: empirical evidence from Nepal. Agric Econ 22(3):309–320
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Sengupta, A., Datta, S.K., Mondal, S. (2013). Gender and Partial Separability: The Indian Experience. In: Productivity, Separability and Deprivation. SpringerBriefs in Economics. Springer, India. https://doi.org/10.1007/978-81-322-1056-6_6
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DOI: https://doi.org/10.1007/978-81-322-1056-6_6
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