Parameters Heterogeneity in a Model of Labour Supply: Exploring the Performance of Mixed Logit
AbstractIn this note we investigate the empirical differences between the Random Utility model with fixed coefficients (Conditional Logit), and the Random Utility model with random coefficients (Mixed Logit). We consider a model of household labour supply developed for a project aimed at the evaluation of alternative Basic Income mechanisms. Data are drawn from the 1998 Bank of Italy survey of household income and wealth (SHIW 1998) and choice alternatives are generated using EUROMOD. We compare the estimates of the Conditional Logit and Mixed Logit. We also compare the respective results from simulating the effects of a Flat Tax reform. Although on average the estimates of Conditional Logit and of Mixed Logit are very close, the Mixed Logit estimates reveal that there is a significant unobserved heterogeneity of preferences. We also compare the simulations of a hypothetical Flat Tax reform. Although the differences are small, yet the results would imply different policy conclusions depending on whether Conditional Logit or Mixed Logit is adopted.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY in its series CHILD Working Papers with number wp21_08.
Length: 24 pages
Date of creation: Nov 2008
Date of revision:
labour supply; conditional logit; mixed logit; unobserved heterogeneity;
Find related papers by JEL classification:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-04-13 (All new papers)
- NEP-DCM-2009-04-13 (Discrete Choice Models)
- NEP-LAB-2009-04-13 (Labour Economics)
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral 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: (Silvia Landorno).
If references are entirely missing, you can add them using this form.