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An analysis of housing expenditure using semiparametric models and panel data

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  • Charlier, Erwin
  • Melenberg, Bertrand
  • van Soest, Arthur

Abstract

In this paper we model expenditure on housing for owners and renters by means of endogenous switching regression models for panel data. We explain the share of housing in total expenditure from a household specific effect, family characteristics and total expenditure, where the latter is allowed to be endogenous. We consider both random and fixed effects panel data models. We compare estimates for the random effects model with estimates for the linear panel data model in which selection only enters through the fixed effects and with estimates allowing for fixed effects and a more general type of selectivity. Differences appear to be substantial. The results imply that the random effects model as well as the linear panel data model are too restrictive.
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  • Charlier, Erwin & Melenberg, Bertrand & van Soest, Arthur, 2001. "An analysis of housing expenditure using semiparametric models and panel data," Journal of Econometrics, Elsevier, vol. 101(1), pages 71-107, March.
  • Handle: RePEc:eee:econom:v:101:y:2001:i:1:p:71-107
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    1. Woutersen, Tiemen & Khandker, Shahidur R., 2013. "Estimating the effects of credit constraints on productivity of Peruvian agriculture," Policy Research Working Paper Series 6658, The World Bank.
    2. Semykina, Anastasia & Wooldridge, Jeffrey M., 2010. "Estimating panel data models in the presence of endogeneity and selection," Journal of Econometrics, Elsevier, vol. 157(2), pages 375-380, August.
    3. Leontaridi, Rannia M., 2002. "Career, experience and returns to human capital: is the dual labour market hypothesis relevant for the UK?," Research in Economics, Elsevier, vol. 56(4), pages 399-426, December.
    4. Federico Revelli, 2013. "Tax Mix Corners and Other Kinks," Journal of Law and Economics, University of Chicago Press, vol. 56(3), pages 741-776.
    5. Jan Erik Askildsen & Badi H. Baltagi & Tor Helge Holmås, 2003. "Wage policy in the health care sector: a panel data analysis of nurses' labour supply," Health Economics, John Wiley & Sons, Ltd., vol. 12(9), pages 705-719.
    6. William Nilsson, 2008. "Unemployment, Splitting up, and Spousal Income Replacement," LABOUR, CEIS, vol. 22(1), pages 73-106, March.
    7. Jan Erik Askildsen & Badi H. Baltagi & Tor Helge Holmås, 2002. "Will Increased Wages Reduce Shortage of Nurses? A Panel Data Analysis of Nurses’ Labour Supply," CESifo Working Paper Series 794, CESifo Group Munich.
    8. Anil Kumar, 2016. "Lifecycle-consistent female labor supply with nonlinear taxes: evidence from unobserved effects panel data models with censoring, selection and endogeneity," Review of Economics of the Household, Springer, vol. 14(1), pages 207-229, March.
    9. Alex Almeida & Boris Bravo-Ureta, 2011. "Agricultural Productivity And Off-Farm Labor Decisions By Heads And Spouses In Nicaragua: A Semiparametric Analysis Using Panel Data," ERSA conference papers ersa11p508, European Regional Science Association.
    10. Malikov, Emir & Kumbhakar, Subal C. & Sun, Yiguo, 2016. "Varying coefficient panel data model in the presence of endogenous selectivity and fixed effects," Journal of Econometrics, Elsevier, vol. 190(2), pages 233-251.
    11. Bertrand Melenberg & Arthur van Soest & Erwin Charlier, 2000. "An analysis of housing expenditure using semiparametric cross-section models," Empirical Economics, Springer, vol. 25(3), pages 437-462.
    12. Jos Van Ommeren & Michiel Van Leuvensteijn, 2005. "New Evidence of the Effect of Transaction Costs on Residential Mobility," Journal of Regional Science, Wiley Blackwell, vol. 45(4), pages 681-702.
    13. Murtazashvili, Irina & Wooldridge, Jeffrey M., 2016. "A control function approach to estimating switching regression models with endogenous explanatory variables and endogenous switching," Journal of Econometrics, Elsevier, vol. 190(2), pages 252-266.
    14. Wladimir Raymond & Pierre Mohnen & Franz Palm & Sybrand Schim van der Loeff, 2009. "Innovative Sales, R&D and Total Innovation Expenditures: Panel Evidence on their Dynamics," CESifo Working Paper Series 2716, CESifo Group Munich.
    15. Rodrigo A. Cerda & Diego Saravia, 2009. "Corporate Tax, Firm Destruction and Capital Stock Accumulation: Evidence From Chilean Plants, 1979-2004," Working Papers Central Bank of Chile 521, Central Bank of Chile.
    16. Anil Kumar, 2004. "Taxes, Deadweight Loss and Intertemporal Female Labor Supply: Evidence from Panel Data," Center for Policy Research Working Papers 61, Center for Policy Research, Maxwell School, Syracuse University.
    17. Farrell, Lisa & Shields, Michael A., 2001. "Child Expenditure: The Role of Working Mothers, Lone Parents, Sibling Composition and Household Provision," IZA Discussion Papers 388, Institute for the Study of Labor (IZA).
    18. Akhmedov Akhmed & Orlov Evgeniy, 2004. "Can Government Paternalism Prevent Credit Market Failure?," EERC Working Paper Series 04-02e, EERC Research Network, Russia and CIS.
    19. Malikov, Emir & Restrepo-Tobon, Diego A & Kumbhakar, Subal C., 2016. "Heterogeneous Credit Union Production Technologies with Endogenous Switching and Correlated Effects," MPRA Paper 71593, University Library of Munich, Germany.
    20. Dustmann, Christian & Rochina-Barrachina, María Engracia, 2000. "Selection Correction in Panel Data Models: An Application to Labour Supply and Wages," IZA Discussion Papers 162, Institute for the Study of Labor (IZA).
    21. Maria Ana Odejar & Kostas Mavromaras & Mandy Ryan, 2004. "Messy Data Modelling in Health Care Contingent Valuation Studies," Econometric Society 2004 North American Summer Meetings 406, Econometric Society.

    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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