How local are labor markets? Evidence from a spatial job search model
AbstractThis paper uses data on very small UK geographies to investigate the effective size of local labor markets. Our approach treats geographic space as continuous, as opposed to a collection of non-overlapping administrative units, thus avoiding problems of mismeasurement of local labor markets encountered in previous work. We develop a theory of job search across space that allows us to estimate a matching process with a very large number of areas. Estimates of this model show that the cost of distance is relatively high - the utility of being offered a job decays at exponential rate around 0.3 with distance (in km) to the job - so that labor markets are indeed quite `local'. Also, workers are discouraged from applying to jobs in areas where they expect relatively strong competition from other jobseekers. The estimated model replicates fairly accurately actual commuting patterns across neighbourhoods, although it tends to underpredict the proportion of individuals who live and work in the same ward. Finally, we find that, despite the fact that labor markets are relatively `local', local development policies are fairly ineffective in raising the local unemployment outflow, because labor markets overlap, and the associated ripple effects in applications largely dilute the impact of local stimulus across space.
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Bibliographic InfoPaper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 8686.
Date of creation: Dec 2011
Date of revision:
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Other versions of this item:
- Manning, Alan & Petrongolo, Barbara, 2011. "How Local Are Labor Markets? Evidence from a Spatial Job Search Model," IZA Discussion Papers 6178, Institute for the Study of Labor (IZA).
- Alan Manning & Barbara Petrongolo, 2011. "How Local Are Labour Markets? Evidence from a Spatial Job Search Model," CEP Discussion Papers dp1101, Centre for Economic Performance, LSE.
- J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
- J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
- J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-12-13 (All new papers)
- NEP-GEO-2011-12-13 (Economic Geography)
- NEP-LAB-2011-12-13 (Labour Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Leah Platt Boustan & Robert A. Margo, 2007. "Race, Segregation, and Postal Employment: New Evidence on Spatial Mismatch," NBER Working Papers 13462, National Bureau of Economic Research, Inc.
- Matthew J. Notowidigdo, 2011.
"The Incidence of Local Labor Demand Shocks,"
NBER Working Papers
17167, National Bureau of Economic Research, Inc.
- Stephen R. G. Jones & W. Craig Riddell, 1999.
"The Measurement of Unemployment: An Empirical Approach,"
Econometric Society, vol. 67(1), pages 147-162, January.
- Stephen R. G. Jones & W. Craig Riddell, . "The Measurement Of Unemployment: An Empirical Approach," Canadian International Labour Network Working Papers 09, McMaster University.
- Eleonora Patacchini & Yves Zenou, 2007. "Spatial dependence in local unemployment rates," Journal of Economic Geography, Oxford University Press, vol. 7(2), pages 169-191, March.
- Matias Busso & Jesse Gregory & Patrick M. Kline, 2010.
"Assessing the Incidence and Efficiency of a Prominent Place Based Policy,"
NBER Working Papers
16096, National Bureau of Economic Research, Inc.
- Matias Busso & Jesse Gregory & Patrick Kline, 2013. "Assessing the Incidence and Efficiency of a Prominent Place Based Policy," American Economic Review, American Economic Association, vol. 103(2), pages 897-947, April.
- Matias Busso & Jesse Gregory & Patrick Kline, 2011. "Assessing the Incidence and Efficiency of a Prominent Place Based Policy," Working Papers 11-07, Center for Economic Studies, U.S. Census Bureau.
- Simon Burgess & Stefan Profit, 2001. "Externalities in the matching of workers and firms in Britain," LSE Research Online Documents on Economics 20130, London School of Economics and Political Science, LSE Library.
- Edward L. Glaeser & Joshua D. Gottlieb, 2008.
"The Economics of Place-Making Policies,"
Brookings Papers on Economic Activity,
Economic Studies Program, The Brookings Institution, vol. 39(1 (Spring), pages 155-253.
- Coles, Melvyn G & Smith, Eric, 1996.
"Cross-Section Estimation of the Matching Function: Evidence from England and Wales,"
London School of Economics and Political Science, vol. 63(252), pages 589-97, November.
- Coles, Melvyn G & Smith, Eric, 1994. "Cross-Section Estimation of the Matching Function: Evidence from England and Wales," CEPR Discussion Papers 966, C.E.P.R. Discussion Papers.
- Christopher A. Pissarides, 2000. "Equilibrium Unemployment Theory, 2nd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262161877, December.
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