A non-parametric microsimulation approach to assess changes in inequality and poverty
AbstractThis paper presents a non-parametric microsimulation methodology for assessing the impact of labour market changes and government transfers on income inequality and poverty at the household level. The approach assumes that labour markets are segmented and determines (as part of a randomized process) which individuals are expected to move in or out of employment and which move from one employment segment to another based on either known or counterfactual information of aggregate labour market changes. The methodology assumes that the distribution of earnings of those who become employed in a particular segment resembles that of the individuals observed to be employed in that segment. The approach can be effectively combined in top-down fashion with static or dynamic computable general equilibrium (CGE) models, which typically provide insufficient information about household income distribution. The paper discusses the virtues and limitations of applying this methodology and further explains to practitioners how to implement it as a stand-alone methodology or in combination with a CGE model. It also shows how the methodology can be generalized to also capture the poverty and inequality effects of changes in non-labour incomes, such as government transfers. One great advantage of this method is that it is not very demanding in terms of modelling labour supply and household behaviour as compared with alternative parametric approaches, while at the same time providing a plausible link between changes in overall labour market conditions and the full household income distribution.
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 InfoArticle provided by Interational Microsimulation Association in its journal International Journal of Microsimulation.
Volume (Year): 3 (2010)
Issue (Month): 1 ()
Contact details of provider:
Web page: http://ima.natsem.canberra.edu.au/index.htm
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4 National Bureau of Economic Research, Inc.
- Luc Savard, 2003. "Poverty and Income Distribution in a CGE-Household Micro-Simulation Model: Top-Down/Bottom Up Approach," Cahiers de recherche 0343, CIRPEE.
- Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
- Almeida dos Reis, Jose Guilherme & Paes de Barros, Ricardo, 1991. "Wage inequality and the distribution of education : A study of the evolution of regional differences in inequality in metropolitan Brazil," Journal of Development Economics, Elsevier, vol. 36(1), pages 117-143, July.
- François Bourguignon & Anne-Sophie Robilliard & Sherman Robinson, 2003.
"Representative versus real households in the macro-economic modeling of inequality,"
DELTA Working Papers
2003-05, DELTA (Ecole normale supérieure).
- Sherman, Robinson & Robilliard, Anne-Sophie & Bourguignon, François, 2005. "Representative versus real households in the macro-economic modelling of inequality," Economics Papers from University Paris Dauphine 123456789/4535, Paris Dauphine University.
- François Bourguignon & Anne-Sophie Robilliard & Sherman Robinson, 2003. "Representative versus real households in the macro-economic modeling of inequality," Working Papers DT/2003/10, DIAL (Développement, Institutions et Mondialisation).
- Sattinger, Michael, 1993. "Assignment Models of the Distribution of Earnings," Journal of Economic Literature, American Economic Association, vol. 31(2), pages 831-80, June.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gijs Dekkers).
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 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.