Testing the neoclassical migration model: overall and age-group specific results for German regions

Mitze, Timo; Reinkowski, Janina

doi:10.1007/s12651-010-0046-2

Cited by 18 publications

(11 citation statements)

References 34 publications

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“…But, the employment variables are insignificant or with the "wrong" sign for the remaining age cohorts. 23 Overall though, the results suggest that job market considerations are more important for long-distance moves than for short-distance moves (as discussed above) and for younger adults than for older adults, which is in line with previous research (Hansen and Niedomysl, 2011;Mitze and Reinkowski 2011).…”

Section: Regression Resultssupporting

confidence: 83%

“…Previous studies find mixed results regarding the relationship between human capital at origin and destination areas and internal migration in e.g. Germany, Spain, and Italy ( Maza & Villaverde, 2004;Maza, 2006;Mitze & Reinkowski, 2011;Piras, 2017).…”

Section: Regression Resultsmentioning

confidence: 95%

“…Also, several studies that have employed aggregate data have found that regional characteristics such as natural and cultural amenities and crime rates are significantly related to interregional migration (Maza & Villaverde, 2004;Jensen & Deller, 2007;Sousa, 2014;Önder & Schlunk, 2015). In particular, older migrants attach greater emphasis on costs of living, and environmental and cultural amenities, while younger migrants attach a higher weight to job related reasons (Findlay & Rogerson, 1993;Nieodmysl, 2008Niedomysl & Hansen, 2010Mitze & Reinkowski, 2011).…”

Section: Literature Reviewmentioning

confidence: 99%

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Who Benefits from More Housing? A Panel Data Study on the Role of Housing in the Intermunicipal Migration of Different Age Cohorts in Sweden

Karpestam¹

2018

Review of Regional Studies

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Although Swedish housing standards are high and young adults leave the parental home relatively early, there are indications that for certain groups housing has, in recent years, become less accessible. We analyse how housing characteristics affect intermunicipal mobility for different age cohorts and estimate a panel data gravity model that models migration as a function of origin and destination characteristics. The results suggest that new construction in the past two decades has negatively affected migration within commuting regions more than migration between commuting regions. For metropolitan areas, there are considerable negative effects on net migration from other commuter regions because new construction has not kept pace with population growth. The effects are stronger for young adults (20-44) compared to older adults (45-74). Further, we find that, while new construction stimulates mobility for all age cohorts, the estimated relationship is weaker for the youngest adults; indicating a need for more variation in new construction to satisfy different needs. Also, we find that the decreased share of rentals since 1992 have negatively affected the short-distance mobility of the youngest adults while the effect is weaker or even positive for the remaining age cohorts.

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Section: Regression Resultssupporting

confidence: 83%

Section: Regression Resultsmentioning

confidence: 95%

Section: Literature Reviewmentioning

confidence: 99%

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Who Benefits from More Housing? A Panel Data Study on the Role of Housing in the Intermunicipal Migration of Different Age Cohorts in Sweden

Karpestam¹

2018

Review of Regional Studies

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“…A previous related model has been developed by Simon ( 1955Simon ( , 1957, based on the concept of bounded rationality, which explains that the search for a destination ends once an acceptable destination is found, without necessarily considering all possible destinations. In sum, in neoclassical theories, households consider migration as an investment decision and finally migrate to places where wages are higher and the migration returns exceed the costs generated by the move (Mitze & Reinkowski, 2011).…”

Section: Literature Reviewmentioning

confidence: 99%

Push and pull factors in Tunisian internal migration: The role of human capital

Laajimi

Gallo

2022

Growth and Change

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This paper examines the pull and push factors of interregional flows in Tunisia, focusing on the role of differences in human capital. Using data from the 2004 and 2014 Tunisian censuses, we estimate a gravity model augmented with proxies capturing high‐ and low‐skilled level human capital and an original nighttime light proxy for regional GPD. We consider both unemployment rate differential and road distance as multilateral resistance variables, and we add cultural and quality of life variables. We find that the macroeconomic variables are the main determinants of interregional flows. As for human capital, high skilled level acts as a pull factor while low skilled level acts as a restraining factor in the destination regions. Furthermore, non‐economic variables have a significant impact on migration flows: Tunisians leave their origin regions not only in search of job opportunities but also in search of better living conditions.

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“…Nach der Life Cycle‐Hypothese gewichten Menschen entlang ihres Lebenszyklus arbeitsmarktrelevante Faktoren unterschiedlich stark, wobei insbesondere junge Menschen, ein überproportional hohes Gewicht auf Einkommensvariablen legen (siehe u.a. Clark und Hunter, 1992, für die USA sowie Mitze und Reinkowski, 2011, für Deutschland).…”

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Studiengebühren und das Wanderungsverhalten von Studienanfängern: eine panel- ökonometrische Wirkungsanalyse

Alecke¹,

Mitze

2012

Perspektiven Der Wirtschaftspolitik

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The question of costs and benefits related to the introduction of tuition fees still dominates the current discussion of higher education policy in Germany. In this contribution, we quantify the effect of tuition fees on state‐to‐state migration patterns among university freshmen in Germany using an empirical migration model for all 16 German states (Bundesländer) in the period 1999 to 2010. Overall, our results reveal a negative effect of tuition fees on gross in‐migration to fee‐charging states since their introduction in 2006. Although the absolute size of this spatial redistribution effect is moderate, by means of simulation exercises we nevertheless show that the potential use of tuition fees as a planning instrument for higher education policy may not be seen as negligibly. With regard to the questions, which of the other determinants in the migration model can affect gross in‐migration flows in a similar way as the introduction of tuition fees was able to do, we find that only a very drastic improvement in the quality of teaching and research facilities at universities in non‐charging states relative to fee‐charging universities would be able to evoke a similar effect on the spatial redistribution of university freshmen among German states. This raises a closely related question, namely, which of the available instruments may serve best to accomplish the goal of high utilization rates for existing capacities at universities in East Germany as formulated in the University Pact 2020 (Hochschulpakt 2020).

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Testing the neoclassical migration model: overall and age-group specific results for German regions

Cited by 18 publications

References 34 publications

Who Benefits from More Housing? A Panel Data Study on the Role of Housing in the Intermunicipal Migration of Different Age Cohorts in Sweden

Who Benefits from More Housing? A Panel Data Study on the Role of Housing in the Intermunicipal Migration of Different Age Cohorts in Sweden

Push and pull factors in Tunisian internal migration: The role of human capital

Studiengebühren und das Wanderungsverhalten von Studienanfängern: eine panel- ökonometrische Wirkungsanalyse

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