2017
DOI: 10.2139/ssrn.3092564
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The Price of Polarization: Estimating Task Prices Under Routine-Biased Technical Change

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Cited by 10 publications
(9 citation statements)
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References 34 publications
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“…Gottschalk et al (2015) estimate return to dierent skills by focusing on entry level wages and using bounds to account for selection on unobserved variables. Böhm (2020) uses implications of a generalized Roy model and the envelope theorem to estimate skill dierences between the dierent cohorts of the NLSY. Our approach uses various elements of these approaches in dierent ways.…”
Section: Related Literaturementioning
confidence: 99%
“…Gottschalk et al (2015) estimate return to dierent skills by focusing on entry level wages and using bounds to account for selection on unobserved variables. Böhm (2020) uses implications of a generalized Roy model and the envelope theorem to estimate skill dierences between the dierent cohorts of the NLSY. Our approach uses various elements of these approaches in dierent ways.…”
Section: Related Literaturementioning
confidence: 99%
“…While PIAAC offers the considerable advantage of providing data on numerous countries, thereby allowing a comparative exercise of the kind undertaken in the present article, it remains the case that it is in essence a cross-sectional data set. A small number of recent studies have made use of panel data, including the outgoing rotation group data from the Current Population Survey (Gottschalk, Green and Sand, 2016) and the National Longitudinal Survey of Youth (Böhm 2017) in the United States, and the British Household Panel Survey and the German Socio-Economic Panel (Cavaglia and Etheridge 2017) in Europe. The opportunity afforded by panel data to allow for unobserved heterogeneity across workers means that these studies can correct for selection effects whereby individuals choose occupations in which the mix of tasks undertaken best rewards their skills.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Quelques études récentes utilisent plutôt des données de panel. Il faut citer ici celle de Gottschalk, Green et Sand (2016) et celle de Böhm (2017), qui portent sur des données issues d'enquêtes menées aux États-Unis (la Current Population Survey pour la première et la National Longitudinal Survey of Youth pour la seconde), ainsi que celle de Cavaglia et Etheridge (2017), qui fait appel aux données d'une enquête britannique, la Household Panel Survey, et d'une enquête allemande, le German Socio-Economic Panel (SOEP). Les données de panel permettent de tenir compte de l'hétérogénéité non observée entre les travailleurs et de corriger les effets de sélection découlant du fait que les individus se dirigent naturellement vers les professions faisant appel aux tâches qu'ils sont particulièrement aptes à effectuer.…”
Section: Synthèse Documentaireunclassified