What you need to know when estimating impact functions with panel data for demographic research

The estimation of impact functions - that is the time-varying causal effect of a dichotomous treatment (e.g., marriage, divorce, parenthood) on outcomes (e.g., earnings, well-being, health) - has become a standard procedure in demographic applications. The basic methodology of estimating impact func...

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Vydané v:Comparative population studies Ročník 46; s. 453 - 486
Hlavní autori: Ludwig, Volker, Brüderl, Josef
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Wiesbaden Bundesinstitut für Bevölkerungsforschung (BiB) 01.01.2021
Federal Institute for Population Research (BiB)
Federal Institute for Population Research
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ISSN:1869-8999, 1869-8980, 1869-8999
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Shrnutí:The estimation of impact functions - that is the time-varying causal effect of a dichotomous treatment (e.g., marriage, divorce, parenthood) on outcomes (e.g., earnings, well-being, health) - has become a standard procedure in demographic applications. The basic methodology of estimating impact functions with panel data and fixed-effects regressions is now widely known. However, many researchers may not be fully aware of the methodological subtleties of the approach, which may lead to biased estimates of the impact function. In this paper, we highlight potential pitfalls and provide guidance on how to avoid these in practice. We demonstrate these issues with exemplary analyses, using data from the German Family Panel (pairfam) study and estimating the effect of motherhood on life satisfaction.
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:1869-8999
1869-8980
1869-8999
DOI:10.12765/CPoS-2021-16