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Family labour force participation: Multinomial logit estimates

Authors: J, Theeuwes;

Family labour force participation: Multinomial logit estimates

Abstract

Studies of labour force participation choices are mostly aimed at explaining determinants of participation for individuals. The objective of this study is the empirical estimation of the parameters of family participation decisions. Family participation decisions can be analysed as a choice problem of a family between a finite number of distinct alternatives. The appropriate estimation procedure for a model involving choice among multiple discrete alternatives requires a statistical technique different from ordinary least squares. In this study I use the multinomial logit model. A logit model allows me to explain the probability that a particular participation alternative will be chosen by a family as a function of a set of independent variables. It is found that economic variables such as wage rates and wealth, play a significant role in affecting the probabilities of choosing a particular labour force participation alternative. This study shows that an increase in the market wage for a family member not...

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Keywords

Employment, Behavior, Family Characteristics, Economics, Research, Decision Making, Statistics as Topic, Models, Theoretical, Social Class, Socioeconomic Factors, Income, Population Characteristics

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Top 10%
Average
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