IDEAS home Printed from https://ideas.repec.org/p/mod/cappmo/0071.html
   My bibliography  Save this paper

On the role of unobserved preference heterogeneity in discrete choice models of labour supply

Author

Listed:
  • Daniele Pacifico

    ()

Abstract

The aim of this paper is to analyse the role of unobserved preference heterogeneity in structural discrete choice models of labour supply. Within this framework, unobserved heterogeneity has been estimated either parametrically or semiparametrically through random coefficient models. Nevertheless, the estimation of such models by means of standard, gradient-based methods is often difficult, in particular if the number of random parameters is high. For this reason, the role of unobserved taste variability in empirical studies is often constrained since only a small set of coefficients is assumed to be random. However, this simplification may affect the estimated labour supply elasticities and the subsequent policy recommendations. In this paper, we propose a new estimation method based on an EM algorithm that allows us to fully consider the effect of unobserved heterogeneity nonparametrically. Results show that labour supply elasticities and other post-estimation results change significantly only when unobserved heterogeneity is considered in a more flexible and comprehensive manner. Moreover, we analyse the behavioural effects of the introduction of a working-tax credit scheme in the Italian tax-benefit system and show that the magnitude of labour supply reactions and the post-reform income distribution can differ significantly depending on the specification of unobserved heterogeneity.

Suggested Citation

  • Daniele Pacifico, 2010. "On the role of unobserved preference heterogeneity in discrete choice models of labour supply," Center for the Analysis of Public Policies (CAPP) 0071, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
  • Handle: RePEc:mod:cappmo:0071
    as

    Download full text from publisher

    File URL: http://155.185.68.2/campusone/web_dep/CappPaper/Capp_p71.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    2. Richard Blundell & Alan Duncan & Julian McCrae & Costas Meghir, 2000. "The labour market impact of the working families’ tax credit," Fiscal Studies, Institute for Fiscal Studies, vol. 21(1), pages 75-103, March.
    3. Keane, Michael & Moffitt, Robert, 1998. "A Structural Model of Multiple Welfare Program Participation and Labor Supply," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(3), pages 553-589, August.
    4. Frederic Vermeulen, 2006. "A collective model for female labour supply with non-participation and taxation," Journal of Population Economics, Springer;European Society for Population Economics, vol. 19(1), pages 99-118, February.
    5. van Soest, Arthur & Das, Marcel & Gong, Xiaodong, 2002. "A structural labour supply model with flexible preferences," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 345-374, March.
    6. John Creedy & Guyonne Kalb, 2005. "Discrete Hours Labour Supply Modelling: Specification, Estimation and Simulation," Journal of Economic Surveys, Wiley Blackwell, vol. 19(5), pages 697-734, December.
    7. Daniele Pacifico, 2010. "Estimating nonparametric mixed logit models via EM algorithm," Center for the Analysis of Public Policies (CAPP) 0072, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    8. Peter Haan & Katharina Wrohlich, 2010. "Optimal Taxation: The Design of Child-Related Cash and In-Kind Benefits," German Economic Review, Verein für Socialpolitik, vol. 11, pages 278-301, August.
    9. Massimo Baldini & Daniele Pacifico, 2009. "The Recent reforms of the Italian Personal Income Tax: Distributive and Efficiency Effects," Rivista italiana degli economisti, Società editrice il Mulino, issue 1, pages 191-218.
    10. Frederic Vermeulen & Olivier Bargain & Miriam Beblo & Denis Beninger & Richard Blundell & Raquel Carrasco & Maria-Concetta Chiuri & François Laisney & Valérie Lechene & Nicolas Moreau & Michal Myck & , 2006. "Collective Models of Labor Supply with Nonconvex Budget Sets and Nonparticipation: A Calibration Approach," Review of Economics of the Household, Springer, vol. 4(2), pages 113-127, June.
    11. Anders Skrondal & Sophia Rabe-Hesketh, 2009. "Prediction in multilevel generalized linear models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(3), pages 659-687.
    12. Junyi Shen, 2009. "Latent class model or mixed logit model? A comparison by transport mode choice data," Applied Economics, Taylor & Francis Journals, vol. 41(22), pages 2915-2924.
    13. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    14. Denise Doiron & Guyonne Kalb, 2005. "Demands for Child Care and Household Labour Supply in Australia," The Economic Record, The Economic Society of Australia, vol. 81(254), pages 215-236, September.
    15. Brewer, Mike & Duncan, Alan & Shephard, Andrew & Suarez, Maria Jose, 2006. "Did working families' tax credit work? The impact of in-work support on labour supply in Great Britain," Labour Economics, Elsevier, vol. 13(6), pages 699-720, December.
    16. Peter Haan, 2006. "Much ado about nothing: conditional logit vs. random coefficient models for estimating labour supply elasticities," Applied Economics Letters, Taylor & Francis Journals, vol. 13(4), pages 251-256.
    17. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    18. Olivier Bargain, 2004. "On modeling household labor supply with taxation," DELTA Working Papers 2004-14, DELTA (Ecole normale supérieure).
    19. Andrew Chesher & J. M. C. Santos Silva, 2002. "Taste Variation in Discrete Choice Models," Review of Economic Studies, Oxford University Press, vol. 69(1), pages 147-168.
    20. Daniele Pacifico, 2011. "Estimating nonparametric mixed Logit Models via EM algorithm," Department of Economics 0663, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    21. Heckman, James J, 1974. "Shadow Prices, Market Wages, and Labor Supply," Econometrica, Econometric Society, vol. 42(4), pages 679-694, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shun-ichiro Bessho & Masayoshi Hayashi, 2015. "Should the Japanese tax system be more progressive? An evaluation using the simulated SMCFs based on the discrete choice model of labor supply," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(1), pages 144-175, February.
    2. Richiardi Matteo & Poggi Ambra, 2012. "Imputing Individual Effects in Dynamic Microsimulation Models. An application of the Rank Method," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201213, University of Turin.
    3. Kunze, Lars & Suppa, Nicolai, 2013. "Job Characteristics and Labour Supply," Ruhr Economic Papers 418, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. André de Palma & Nathalie Picard & Ignacio Inoa, 2014. "Discrete choice decision-making with multiple decision-makers within the household," Chapters,in: Handbook of Choice Modelling, chapter 16, pages 363-382 Edward Elgar Publishing.
    5. Lars Kunze & Nicolai Suppa, 2013. "Job Characteristics and Labour Supply," Ruhr Economic Papers 0418, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    6. Henk-Wim de Boer & Egbert Jongen & Jan Kabatek, 2014. "The effectiveness of fiscal stimuli for working parents," CPB Discussion Paper 286, CPB Netherlands Bureau for Economic Policy Analysis.
    7. Patricia Apps & Jan Kabátek & Ray Rees & Arthur Soest, 2016. "Labor supply heterogeneity and demand for child care of mothers with young children," Empirical Economics, Springer, vol. 51(4), pages 1641-1677, December.
    8. Kabátek, Jan, 2015. "Essays on public policy and household decision making," Other publications TiSEM 8cdb178e-ad98-42e5-a7e1-b, Tilburg University, School of Economics and Management.
    9. Matteo Richiardi & Ambra Poggi, 2014. "Imputing Individual Effects in Dynamic Microsimulation Models. An application to household formation and labour market participation in Italy," International Journal of Microsimulation, International Microsimulation Association, vol. 7(2), pages 3-39.
    10. Peter Haan & Daniel Kemptner & Arne Uhlendorff, 2015. "Bayesian procedures as a numerical tool for the estimation of an intertemporal discrete choice model," Empirical Economics, Springer, vol. 49(3), pages 1123-1141, November.
    11. Yuan, Yuan & You, Wen & Boyle, Kevin J., 2015. "A guide to heterogeneity features captured by parametric and nonparametric mixing distributions for the mixed logit model," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205733, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    12. Kabatek, J., 2013. "Iteration Capping For Discrete Choice Models Using the EM Algorithm," Discussion Paper 2013-019, Tilburg University, Center for Economic Research.
    13. repec:zbw:rwirep:0418 is not listed on IDEAS

    More about this item

    Keywords

    behavioural microsimulation; labour supply; unobserved heterogeneity; random coefficient mixed models; EM algorithm;

    JEL classification:

    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mod:cappmo:0071. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sara Colombini). General contact details of provider: http://edirc.repec.org/data/demodit.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.