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A behavioral microsimulation model with discrete labour supply for Italian couples

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Pacifico, Daniele

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Abstract

The aim of this paper is to introduce labour supply behaviour in an arithmetic microsimulation model so as to take into account changes in labour supply when a new policy is evaluated. I explore the performance of a labour supply estimation method based on a discrete choice set. The idea behind this approach is to work directly with preferences instead of labour supply functions. The main advantage of the discrete approach is the possibility of dealing easily with non-convex budget sets and joint labour supply. This let the discrete approach relatively suitable for policy evaluation purposes. I use the papers from Blundell, Dancan, McCrae and Meghir (1999) and Brewer, Duncan Shepard and Suarez (2006) as main references for the structural microeconometric model. Several innovative elements are taken into account with respect previous Italian studies. In particular, I allow for errors in the predicted wage for non-workers, unobserved heterogeneity in preferences, unobserved monetary fixed costs of working and child-care demand. The model is fully parametric and the Simulated Maximum Likelihood approach is used to approximate multidimensional integrals. An overview of the STATA routine for the maximum likelihood estimation is also presented. The elasticities of labour supply for married men and women are computed and discussed.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 14198.

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Date of creation: Mar 2009
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Handle: RePEc:pra:mprapa:14198

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Related research
Keywords: Microsimulation; Household labour supply; discrete choice;

Find related papers by JEL classification:
H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household
J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies

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References listed on IDEAS
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  1. Andrea Brandolini, 1999. "The Distribution of Personal Income in Post-War Italy: Source Description, Data Quality, and the Time Pattern of Income Inequality," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 58(2), pages 183-239, September.
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  2. Anna Laura Mancini, 2008. "Labor Supply Responses of Italian Women to Minimum Income Policies," Working Papers 94, ECINEQ, Society for the Study of Economic Inequality. [Downloadable!]
    Other versions:
  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 553-89, August.
    Other versions:
  4. José M. Labeaga, Xisco Oliver & Xisco Oliver & Amedeo Spadaro, . "Discrete choice models of labour Supply, behavioural microsimulation and the Spanish tax reforms," Working Papers 2005-14, FEDEA. [Downloadable!]
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  5. Aaberge, Rolf & Colombino, Ugo & Strom, Steinar, 1999. "Labour Supply in Italy: An Empirical Analysis of Joint Household Decisions, with Taxes and Quantity Constraints," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(4), pages 403-22, July-Aug.. [Downloadable!]
  6. 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. [Downloadable!] (restricted)
  7. Blundell, Richard & Macurdy, Thomas, 1999. "Labor supply: A review of alternative approaches," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 27, pages 1559-1695 Elsevier. [Downloadable!] (restricted)
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  8. Lorenzo Cappellari & Stephen P. Jenkins, 2006. "Calculation of multivariate normal probabilities by simulation, with applications to maximum simulated likelihood estimation," Stata Journal, StataCorp LP, vol. 6(2), pages 156-189, June. [Downloadable!]
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This page was last updated on 2009-11-27.


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