Commuting flows across bordering regions: a note

Mathä, Thomas Y.; Wintr, Ladislav

doi:10.1080/13504850701221857

“…It could be argued that where national borders are real barriers to travel then two systems should be defined, however, in a post-Schengen Europe (Convey and Kupiszewski, 1995;Kraler et al, 2006) national boundaries are not the rigid constructs (both metaphorically and physically) they once were, with flows of migrants between member countries now (in principle) as easy as flows within them. Indeed it is not uncommon for another type of human flow -daily commutes -to occur between countries such as Denmark and Sweden or Luxembourg and Belgium (Mathä and Wintr, 2009). With this being the case, we might expect internal migration and international migration in these areas of Europe to be virtually interchangeable in terms of, for example, the motivations for moves or the limiting factors such as distance which curtail flows.…”

Section: Figure 62 Example Migration Data Availability Within Europementioning

confidence: 99%

Estimating Inter‐regional Migration in Europe

Dennett¹,

Wilson²

2016

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“…These mass variables differ from the mass proxies commonly used in the existing literature on commuting. For example, Mathä and Wintr (2007), McArthur et al (Forthcoming) and Melo et al (2011), among others, proxy the mass variables by local population in the locality of origin and number of jobs in the locality of destination, respectively, whereas other authors (Guest and Cluett (1976), Flowerdew and Aitkin (1982)) simply control for the localities' total population.…”

Section: A Micro-founded Gravity Equation For Commutingmentioning

confidence: 99%

“…Many authors before us have made creditable attempts toward estimating gravity equations for commuting (Guest and Cluett, 1976;Flowerdew and Aitkin, 1982;Mathä and Wintr, 2007;McArthur et al, Forthcoming;Melo et al, 2011), some of them even controlling for the distribution of economic activity in the surrounding regions by controlling for ad-hoc accessibility measures (Fotheringham, 1981;Thorsen and Gitlesen, 1998). Such ad-hoc approaches equally result in estimation bias, however (see Baier and Bergstrand, 2009).…”

Section: Introductionmentioning

confidence: 99%

A Gravity Equation for Commuting

Persyn

¹

,

Torfs

²

2012

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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 der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may AbstractThis paper derives a gravity equation for commuter flows from a spatial labor market model based on the seminal trade paper by Anderson and Van Wincoop (2003) and uses it to identify the effect of regional borders on commuting. This approach allows us to identify the relevant control variables and sources of potential omitted variable bias. The model is estimated by means of a negative binomial regression using Belgian data on intermunicipality commuting.We show that regional borders exert a sizable residual deterrent effect on commuting, a finding with obvious implications for regional labor market integration. This border-effect differs significantly between regions and depends on the direction in which the border is crossed.$ The authors are solely responsible for the content of the paper. The views expressed are purely those of the authors and may not under any circumstances be regarded as stating an official position of the European Commission. The most recent version of this paper can be found at www.econ.kuleuven.be/wouter.torfs

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“…Luxembourg is its geographic centre and stands for the lion's share of these crossborder commuters, which is mainly due to its attractive wages (e.g. Mathä and Wintr, 2009). In the last ten years, the number of cross-border commuters increased by 77% and, in 2011, they represented about 44% of the Luxembourg's domestic employment (154,000 of 347,000) (Statec, 2012b).…”

Section: Luxembourg and The Grande-régionmentioning

confidence: 99%

“…The literature on both regional and cross-border commuting behaviour and their determinants supports that wage differences are a major explanatory factor for the observed commuting flows (e.g. Cameron and Muellbauer, 1998;Marvakov and Mathä, 2009;Mathä and Wintr, 2009). The economically most important cross-border region in Europe is the Grande-Region, covering 5 regions (Saar, Lorraine, Luxembourg, Rhineland-Palatinate and Wallonie) at the intersection between France, Germany, Luxembourg and Belgium, which makes it a prime candidate for a detailed case study with the possibility of generalisation.…”

Section: Introductionmentioning

confidence: 99%

Cross-Border Commuting and Consuming: An Empirical Investigation

Mathä

¹

,

Porpiglia

²

,

Ziegelmeyer

³

2014

SSRN Journal

0

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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 der dort genannten Lizenz gewährten Nutzungsrechte. The HFCN collects household-level data on households' finances and consumption in the euro area through a harmonised survey. The HFCN aims at studying in depth the micro-level structural information on euro area households' assets and liabilities. The objectives of the network are: Terms of use: Documents in EconStor may1) understanding economic behaviour of individual households, developments in aggregate variables and the interactions between the two;2) evaluating the impact of shocks, policies and institutional changes on household portfolios and other variables;3) understanding the implications of heterogeneity for aggregate variables; 4) estimating choices of different households and their reaction to economic shocks; 5) building and calibrating realistic economic models incorporating heterogeneous agents; 6) gaining insights into issues such as monetary policy transmission and financial stability.The refereeing process of this paper has been co-ordinated by a team composed of Gabriel Fagan (ECB), Pirmin Fessler (Oesterreichische Nationalbank), Michalis Haliassos (Goethe University Frankfurt) , Tullio Jappelli (University of Naples Federico II), Sébastien PérezDuarte (ECB), Jiri Slacalek (ECB), Federica Teppa (De Nederlandsche Bank), Peter Tufano (Oxford University) and Philip Vermeulen (ECB).The paper is released in order to make the results of HFCN research generally available, in preliminary form, to encourage comments and suggestions prior to final publication. The views expressed in the paper are the author's own and do not necessarily reflect those of the ESCB. Abstract: This paper analyses empirically how cross-border consumption varies across product and services categories and across household characteristics. It focuses on the part of crossborder sales that arise due to work-related cross-border crossings; it analyses the crossborder consumption behaviour of cross-border commuter households residing in Belgium, France and Germany and working in Luxembourg. In total, it is estimated that these households spend €925 million per annum in Luxembourg, reflecting about 17% of their gross annual income from Luxembourg and contributing about 10% to total household final consumption expenditure in Luxembourg. Cross-border consumption expenditure is shown to depend on individual and household characteristics, such as total household income, the number of cross-border commuters in the household, distance between home and work, as well as price level (...

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Commuting flows across bordering regions: a note

Cited by 37 publications

References 1 publication

Estimating Inter‐regional Migration in Europe

Estimating Inter‐regional Migration in Europe

A Gravity Equation for Commuting

Cross-Border Commuting and Consuming: An Empirical Investigation

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