2015
DOI: 10.1016/j.econlet.2015.11.010
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Home-ownership, unemployed’s job search behavior and post-unemployment outcomes

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 17 publications
(12 citation statements)
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“…As we match respondents across time, we include nine covariates to control for changes in labour market environment. Following Gerards and Welters (2020) and Caliendo, Gielen, and Mahlstedt (2015), we apply PSM using the Epanechnikov kernel and a bandwidth of 0.06. The mean and median standardized biases in Table 1 summarize successful matching; all are well below the recommended 3-5% range (Caliendo and Kopeinig 2008).…”
Section: Methodsmentioning
confidence: 99%
“…As we match respondents across time, we include nine covariates to control for changes in labour market environment. Following Gerards and Welters (2020) and Caliendo, Gielen, and Mahlstedt (2015), we apply PSM using the Epanechnikov kernel and a bandwidth of 0.06. The mean and median standardized biases in Table 1 summarize successful matching; all are well below the recommended 3-5% range (Caliendo and Kopeinig 2008).…”
Section: Methodsmentioning
confidence: 99%
“…We follow Caliendo, Gielen and Mahlstedt (), Caliendo and Künn () and Caliendo, Künn and Weißenberger () and apply PSM to estimate the effect of an independent variable of interest at year ‘ t ’ – in our case, the incidence of liquidity constraints – on job search intensity at ‘ t ’, ‘time to employment’ and ‘time in employment’ between years ‘ t ’ and ‘ t +1’, employment status at ‘ t +1’, job quality at ‘ t +1’ and employment stability at ‘ t +2’ (if employed at ‘ t +1’). Some of the dependent variables will be observed conditionally on employment at ‘ t +1’, raising the risk of sample selection, which the PSM procedure will not address.…”
Section: Data and Variablesmentioning
confidence: 99%
“…The coefficient of homeowners in the mobility hazard regression in Table 4 is −0.2159, so homeownership decreases the mobility hazard by e −0.2159 − 1 = −19%. All papers below, except Barcelo (2006) and Caliendo, Gielen, and Mahlstedt (2015), use the hazard rate, and the coefficients will be interpreted in an analogous manner. has little effect on homeownership and the presence of children has a negative effect on homeownership in their estimation of the selection equation.…”
Section: Extant Empirical Evidencementioning
confidence: 99%
“…Based on a sample of 2000–5 unemployment spells of the Dutch population, Kantor, Nijkamp, and Rouwendal () show that homeownership has a negative and significant effect on the hazard rate to leave unemployment for nonlocal jobs, reducing the mobility hazard by 34%. Using data of unemployed individuals between 2007 and 2008 in Germany, Caliendo, Gielen, and Mahlstedt () estimate the effect of homeownership on the probability of unemployed individuals to move for employment. Their estimation results, based on a propensity score matching approach, show that homeownership reduces the probability of applying for jobs that would require moving by 4.5% points and the probability of moving for employment by 3% points.…”
Section: Empirical Relevancementioning
confidence: 99%
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