Hoem and Mureşan (2011a) have recently shown that the most widely used macro-level indicator of fertility, the Total Fertility Rate (TFR), can be reconciled with fertility estimates that derive from applications of Event History Analysis (EHA) to micro-data. The purpose of this paper is to extend their ideas and show that they can be usefully applied to short panels: same people interviewed in two or more successive rounds, but generally over a very limited number of years, on topics that do not relate to demography, but are instead normally of economic nature (employment, income, geographic or professional mobility, etc.). Despite the absence of questions on fertility, group-specific fertility estimates can be obtained that are not otherwise available (fertility by income level before the birth of the child), are not biased (by memory or selection of respondents) and can be made consistent with the TFR observed in that period for the entire population. An application to Italian EU-SILC data in the years 2004-2007 highlights the advantages and the limitations of the method.
A Period Total Fertility Rate with Covariates for Short-Panel Data / G. De Santis; S. Drefahl; D. Vignoli. - In: POPULATION. - ISSN 1634-2941. - STAMPA. - 69:(2014), pp. 419-432. [10.3917/popu.1403.0419]
A Period Total Fertility Rate with Covariates for Short-Panel Data
DE SANTIS, GUSTAVO;VIGNOLI, DANIELE
2014
Abstract
Hoem and Mureşan (2011a) have recently shown that the most widely used macro-level indicator of fertility, the Total Fertility Rate (TFR), can be reconciled with fertility estimates that derive from applications of Event History Analysis (EHA) to micro-data. The purpose of this paper is to extend their ideas and show that they can be usefully applied to short panels: same people interviewed in two or more successive rounds, but generally over a very limited number of years, on topics that do not relate to demography, but are instead normally of economic nature (employment, income, geographic or professional mobility, etc.). Despite the absence of questions on fertility, group-specific fertility estimates can be obtained that are not otherwise available (fertility by income level before the birth of the child), are not biased (by memory or selection of respondents) and can be made consistent with the TFR observed in that period for the entire population. An application to Italian EU-SILC data in the years 2004-2007 highlights the advantages and the limitations of the method.File | Dimensione | Formato | |
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