Sequential Linking of Computable General Equilibrium and Microsimulation Models: A Comparison of Behavioural and Reweighting Techniques

作者: Nicolas Hérault

DOI: 10.34196/IJM.00023

关键词:

摘要: Several approaches have recently been developed to combine a computable general equilibrium model (CGE) and microsimulation (MS) model. These so-called CGE-MS models enjoy growing interest because they build bridge between macro- microeconomic analyses. This paper focuses on the "top-down" approach. In this context, CGE is used simulate changes at macroeconomic level after policy change, which are then passed MS The aim of compare approach introduced by Bourguignon et al. (2003) based behavioural with an alternative simpler making use non-behavioural in combination reweighting procedure. Both presented applications provided using South African data. We results obtained both for typical simulation impact trade liberalisation income distribution. introduces small bias results, however without modifying main conclusions. indication that, given its relative simplicity compared approach, can constitute good when data or time constraints do not allow does lie production individual-level transition matrices.

参考文章(21)
Bernard Decaluwé, Jean-Christophe Dumont, Luc Savard, Measuring Poverty and Inequality in a Computable General Equilibrium Model Cahiers de recherche. ,(2000)
John Creedy, Alan Duncan, Mark Harris, Rosanna Scutella, Microsimulation modelling of taxation and the labour market : the Melbourne Institute Tax and Transfer Simulator Edward Elgar. ,(2002)
n. herault, BUILDING AND LINKING A MICROSIMULATION MODEL TO A CGE MODEL FOR SOUTH AFRICA South African Journal of Economics. ,vol. 74, pp. 34- 58 ,(2006) , 10.1111/J.1813-6982.2006.00047.X
LIXIN CAI, JOHN CREEDY, GUYONNE KALB, Accounting for population ageing in tax microsimulation modelling by survey reweighting Social Science Research Network. ,vol. 45, pp. 18- 37 ,(2006) , 10.1111/J.1467-8454.2006.00275.X
Jean-Claude Deville, Carl-Erik Särndal, Calibration Estimators in Survey Sampling Journal of the American Statistical Association. ,vol. 87, pp. 376- 382 ,(1992) , 10.1080/01621459.1992.10475217