Classification and Aggregation: An Application to Industrial Classification in CPS Data
AbstractIn this paper the authors offer a method for deciding how to aggregate a set of elementary industries. The method is then applied to the problem of estimating a wage equation that allows for industry-specific effects. Their method explicitly formalizes the trade-off between goodness-of-fit and parsimony implicit in an aggregation problem. By varying the parameter of the assumed loss function, one obtains a whole sequence of aggregation levels. Further, the resulting sequence is consistent; that is, groupings formed at one level of aggregation will never be undone when one aggregates further. Copyright 1992 by John Wiley & Sons, Ltd.
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Bibliographic InfoArticle provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.
Volume (Year): 7 (1992)
Issue (Month): 1 (Jan.-March)
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Web page: http://www.interscience.wiley.com/jpages/0883-7252/
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- John S. Chipman & Peter Winker, 2000. "Optimal Industrial Classification: An Application to the German Industrial Classification System," Econometric Society World Congress 2000 Contributed Papers 0522, Econometric Society.
- John Mullahy & Stephanie A. Robert, 2008. "No Time to Lose? Time Constraints and Physical Activity," NBER Working Papers 14513, National Bureau of Economic Research, Inc.
- Álvarez de Toledo, Pablo & Núñez, Fernando & Usabiaga, Carlos, 2013. "Labour Market Segmentation, Clusters, Mobility and Unemployment Duration with Individual Microdata," MPRA Paper 46003, University Library of Munich, Germany.
- John Mullahy & Stephanie Robert, 2010. "No time to lose: time constraints and physical activity in the production of health," Review of Economics of the Household, Springer, vol. 8(4), pages 409-432, December.
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