Abstract
The econometrics of aggregation is about modelling the relationship between individual (micro) behaviour and aggregate (macro) statistics, so that data from both levels can be used for estimation and inference about economic parameters. Practical models must address three types of individual heterogeneity – in income and preferences, in wealth and income risk, and in market participation. This entry discusses recent solutions to these problems in the context of demand analysis, consumption modelling and labour supply. Also discussed is work that uses aggregation structure to solve microeconometric estimation problems, and work that addresses whether macroeconomic interactions provide approximate solutions to aggregation problems.
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Bibliography
Attanasio, O. 1999. Consumption. In Handbook of macroeconomics, ed. J. Taylor and M. Woodford, Vol. 1B. Amsterdam: North-Holland.
Banks, J., R. Blundell, and A. Lewbel. 1997. Quadratic Engel curves, indirect tax reform and welfare measurement. Review of Economics and Statistics 79: 527–539.
Berry, S., J. Levinsohn, and A. Pakes. 2004. Differentiated products demand systems from a combination of micro and macro data: The new car market. Journal of Political Economy 112: 68–105.
Blundell, R. 1988. Consumer behaviour: Theory and empirical evidence. Economic Journal 98: 16–65.
Blundell, R., H. Reed, and T. Stoker. 2003. Interpreting aggregate wage growth. American Economic Review 93: 1114–1131.
Blundell, R., and T. Stoker. 2005. Aggregation and heterogeneity. Journal of Economic Literature 43: 347–391.
Browning, M., L. Hansen, and J. Heckman. 1999. Micro data and general equilibrium. In Handbook of macroeconomics, ed. J. Taylor and M. Woodford, Vol. 1A. Amsterdam: North-Holland.
Browning, M., and A. Lusardi. 1996. Household saving: Micro theories and micro facts. Journal of Economic Literature 34: 1797–1855.
Gorman, W.M. (Terence). 1953. Community preference fields. Econometrica 21: 63–80.
Hildenbrand, W. 1994. Market demand: Theory and empirical evidence. Princeton: Princeton University Press.
Imbens, G., and T. Lancaster. 1994. Combining micro and macro data in microeconometric models. Review of Economic Studies 61: 655–680.
Jorgenson, D., L. Lau, and T. Stoker. 1982. The transcendental logarithmic model of aggregate consumer behavior. In Advances in econometrics, ed. R. Basmann and G. Rhodes, Vol. 1. Greenwich: JAI Press.
Krusell, P., and A. Smith. 1998. Income and wealth heterogeneity in the macroeconomy. Journal of Political Economy 106: 867–896.
Krusell, P., and A. Smith. 2006. Quantitative macroeconomic models with heterogeneous agents. In Advances in economics and econometrics, proceedings of the ninth world congress of the econometric society, ed. R. Blundell, W. Newey, and T. Persson. Cambridge: Cambridge University Press.
Meghir, C., and L. Pistaferri. 2004. Income variance dynamics and heterogeneity. Econometrica 72: 1–32.
Stoker, T. 1986. Simple tests of distributional effects on macroeconomic equations. Journal of Political Economy 94: 763–795.
Stoker, T. 1993. Empirical approaches to the problem of aggregation over individuals. Journal of Economic Literature 31: 1827–1874.
Theil, H. 1954. Linear aggregation of economic relations. Amsterdam: North-Holland.
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Stoker, T.M. (2018). Aggregation (Econometrics). In: The New Palgrave Dictionary of Economics. Palgrave Macmillan, London. https://doi.org/10.1057/978-1-349-95189-5_2620
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DOI: https://doi.org/10.1057/978-1-349-95189-5_2620
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