Goodness-of-Fit: An Economic Approach
AbstractSpecific functional forms are often used in economic models of distributions; goodness-of-fit measures are used to assess whether a functional form is appropriate in the light of real-world data.� Standard approaches use a distance criterion based on the EDF, an aggregation of differences in observed and theoretical cumulative frequencies.� However, an economic approach to the problem should involve a measure of the information loss from using a badly-fitting model.� This would involve an aggregation of, for example, individual income discrepancies between model and data.� We provide an axiomatisation of an approach and applications to illustrate its importance.
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Bibliographic InfoPaper provided by University of Oxford, Department of Economics in its series Economics Series Working Papers with number 444.
Date of creation: 01 Aug 2009
Date of revision:
Goodness of fit; Discrepancy; Income distribution; Inequality measurement;
Other versions of this item:
- Sanghamitra Bandyopadhyay & Frank A Cowell & Emmanuel Flachaire, 2009. "Goodness-of-Fit: An Economic Approach," STICERD - Distributional Analysis Research Programme Papers 101, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-08-22 (All new papers)
- NEP-ECM-2009-08-22 (Econometrics)
- NEP-LTV-2009-08-22 (Unemployment, Inequality & Poverty)
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- Cameron, A.C. & Windmeijer, F.A.G., 1993.
"R-Squared Measures for Count Data Regression Models with Applications to Health Care Utilization,"
93-24, California Davis - Institute of Governmental Affairs.
- Cameron, A Colin & Windmeijer, Frank A G, 1996. "R-Squared Measures for Count Data Regression Models with Applications to Health-Care Utilization," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(2), pages 209-20, April.
- Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
- Colin Cameron, A. & Windmeijer, Frank A. G., 1997. "An R-squared measure of goodness of fit for some common nonlinear regression models," Journal of Econometrics, Elsevier, vol. 77(2), pages 329-342, April.
- Blackorby, Charles & Donaldson, David, 1978. "Measures of relative equality and their meaning in terms of social welfare," Journal of Economic Theory, Elsevier, vol. 18(1), pages 59-80, June.
- Cowell, Frank A., 1980. "Generalized entropy and the measurement of distributional change," European Economic Review, Elsevier, vol. 13(1), pages 147-159, January.
- Erik Figueiredo, 2011. "A Note on the Measurement of Unfair Inequality in Brazil," Economics Bulletin, AccessEcon, vol. 31(4), pages 2944-2951.
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