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Erscheinungsjahr: 
2021
Quellenangabe: 
[Journal:] Comparative Population Studies (CPoS) [ISSN:] 1869-8999 [Volume:] 46 [Year:] 2021 [Pages:] 453-486
Verlag: 
Bundesinstitut für Bevölkerungsforschung (BiB), Wiesbaden
Zusammenfassung: 
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.
Schlagwörter: 
Fixed effects regression
Impact functions
Motherhood
Negative weighting bias
pairfam
Panel data analysis
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