Abstract

This paper wants to show whether the decision of female labor force participation depends on economic factors or social factors. Female labor force participation is an outcome of both the factors. It can be possible that, economic and social factors play two different kinds of role. This paper tries to identify those push and pull factors and examine the significance of those factors in the decision regarding female labor force participation in two states of India, Kerala and West Bengal. Whether the factors are macroeconomic like SDP, literacy rate and urbanization, which can 'pull' FLPR up, or, the factors are micro economic, personal, poverty, and insecurity, which can 'push' the FLPR. By using binary logistic regression method, it is found in the paper that the micro level personal factors have more powerful influence on FLPR. The paper suggests that if we want to judge women's development through the FLPR, first we search for the factors behind that high FLPR. If the underline factors are 'push factors', the formula for GDI calculation should also be altered.

Highlights

  • Economic prosperity affects the overall situation of female population of an area

  • Female labor force participation decision may depend on various micro-level, personal as well as social factors

  • The studies which examine the relationship between economic development & female labor force participation have found quasi-linear or U-shaped association

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Summary

Introduction

Economic prosperity affects the overall situation of female population of an area. It influences the decision of female to participate in labor market. These changes can be viewed in a macro scale or in a micro scale. The two most popular indicators, GDI1 and GEM2, developed by UNDP in 1995 may help us to identify the macro-scale changes; but these may not be ideal for knowing the micro-scale changes. Female labor force participation decision may depend on various micro-level, personal as well as social factors. GDI and GEM should be modified to judge the actual situation of women in an area

Literature Review
The district-level regression shows this fact clearly
Findings
The binary logistic model
Full Text
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