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The Determinants of Joint Residential and Job Location Choices: A Mixed Logit Approach

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  • Alexander Ebertz

Abstract

This paper empirically investigates the household's decision to reside and work either in the central metropolitan area, or in the surrounding nonmetropolitan area, or to commute between the two regions. As economic theory suggests the location decision amounts to trading off wages, housing costs, and commuting time. A mixed logit model is employed to quantify the interaction effects of these economic factors in the joint residential and job location choice. The empirical approach does not rely on the restrictive IIA assumption and allows for arbitrary correlation patterns between coefficients. Using data from a recent survey of more than half a million German households, the elasticities of individual location choice with respect to wages, housing costs, and commuting time are estimated. The results show that individual valuations of these factors are of the expected signs but vary substantially in the population. Shifts in consumer surplus and in the spatial distribution of households that are associated with changes in the determinants of location choice are calculated based on the empirical estimates.

Suggested Citation

  • Alexander Ebertz, 2009. "The Determinants of Joint Residential and Job Location Choices: A Mixed Logit Approach," ifo Working Paper Series 82, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
  • Handle: RePEc:ces:ifowps:_82
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    References listed on IDEAS

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    Cited by:

    1. Wang, Yijie & Shi, Julie & Yao, Yi & Sun, Wenkai, 2022. "The impact of health insurance on job location choice: Evidence from rural China," Journal of Comparative Economics, Elsevier, vol. 50(2), pages 569-583.
    2. Sharma, Ajay & Chandrasekhar, S., 2014. "Growth of the Urban Shadow, Spatial Distribution of Economic Activities, and Commuting by Workers in Rural and Urban India," World Development, Elsevier, vol. 61(C), pages 154-166.

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    More about this item

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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