2019
DOI: 10.1016/j.red.2018.07.004
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General equilibrium effects of immigration in Germany: Search and matching approach

Abstract: In this study we develop and calibrate a search and matching model of the German labour market and analyze the impact of recent immigration. Our model has two production sectors (manufacturing and services), two skill groups and two ethnic groups of workers (natives and immigrants). Moreover, we allow for the possibility of self-employment, endogenous price and wage setting and fiscal redistribution policy. We find that search frictions are less important for wages of the low skilled, especially in manufacturi… Show more

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Cited by 22 publications
(16 citation statements)
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References 31 publications
(34 reference statements)
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“…Moreover, it coincides with the return to tenure estimated by Iftikhar and Zaharieva (2018) for Germany. The second set of parameters is summarized in table 3 below: Figure 4 shows the objective function of firm i -J 00 (x i ) -for a fixed market promotion timē…”
Section: Partial and General Equilibriumsupporting
confidence: 83%
“…Moreover, it coincides with the return to tenure estimated by Iftikhar and Zaharieva (2018) for Germany. The second set of parameters is summarized in table 3 below: Figure 4 shows the objective function of firm i -J 00 (x i ) -for a fixed market promotion timē…”
Section: Partial and General Equilibriumsupporting
confidence: 83%
“…With this simplification the vector of exogenous parameters used in the model includes {λ N , λ F , δ N , δ F , sv, τ, γ, n, h}. Iftikhar and Zaharieva (2019) analyzed the size of foreign population in Germany over the period 2005-2016. They find that even though the fraction of foreign citizens was below 10% in Germany in this period, the fraction of individuals with immigration background was 18.2% in 2005 and it increased to 19.7% in 2013.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…Estimation results of Stops (2016) indicate that the average of the calculated values of λ 0 is around 0.75, while, it is around 1.05 according to the estimation results of Dengler et al (2016). Using German data Iftikhar and Zaharieva (2019) estimate λ 0 to be 0.5832. So the estimate of this study is close to the lower bound of the values documented in the literature.…”
Section: Numerical Examplementioning
confidence: 99%
“…Petrongolo and Pissarides (2001)) While, according toStops (2016) (1 − η) ranges from 0.570 to 0.797 for different estimation equations Iftikhar and Zaharieva (2019). estimate 1 − η to be 0.4379.…”
mentioning
confidence: 98%