Dealing with negative marginal utilities in the discrete choice modelling of labour supply
AbstractIn discrete choice labour supply analysis, it is often reasonably expected that utility is increasing with income. Yet, analyses based on discrete choice models sometimes mention that, when no restriction is imposed a priori in the statistical optimization program, the monotonicity condition is not fully satisfied ex post. Obviously, the standard statistical optimization program might be completed with conditions (one per individual) imposing positive marginal utilities. Unfortunately, such a high-dimensional program most often appears to be rather time-consuming in order to be solved, if not practically unsolvable. In order to overcome this drawback, some authors impose general parametric restrictions a priori (hence reducing de facto the dimension of the parameter set), which is sufficient to lead to positive marginal utilities ex post. However, those restrictions might sometimes appear to be unnecessarily too severe and then generate a sub-optimal set of estimated values for the parameters of the utility function. Alternatively, we show that it may be easy to avoid unnecessary restrictions. The high-dimensional program including conditions for positive marginal utilities for all can sometimes be equivalently replaced by a one-dimensional one. At the end, no observation is hopefully showing negative marginal utility anymore at optimum.
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Bibliographic InfoPaper provided by EUROMOD at the Institute for Social and Economic Research in its series EUROMOD Working Papers with number EM6/10.
Date of creation: 01 Oct 2010
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Other versions of this item:
- Liégeois, Philippe & Islam, Nizamul, 2013. "Dealing with negative marginal utilities in the discrete choice modeling of labor supply," Economics Letters, Elsevier, vol. 118(1), pages 16-18.
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-05-24 (All new papers)
- NEP-DCM-2011-05-24 (Discrete Choice Models)
- NEP-UPT-2011-05-24 (Utility Models & Prospect Theory)
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