Non-Parametric Preprocessing for the Estimation of Equivalence Scales
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References listed on IDEAS
- Bellemare, C. & Melenberg, B. & van Soest, A.H.O., 2002.
"Semi-parametric Models for Satisfaction with Income,"
Other publications TiSEM
a7ab8987-444a-4ab0-b566-c, Tilburg University, School of Economics and Management.
- Bellemare, C. & Melenberg, B. & van Soest, A.H.O., 2002. "Semi-parametric Models for Satisfaction with Income," Discussion Paper 2002-87, Tilburg University, Center for Economic Research.
- Charles Bellemare & Bertrand Melenberg & Arthur van Soest van Soest, 2002. "Semi-parametric models for satisfaction with income," CeMMAP working papers CWP12/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Abadie, Alberto & Imbens, Guido W., 2011.
"Bias-Corrected Matching Estimators for Average Treatment Effects,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 1-11.
- Alberto Abadie & Guido W. Imbens, 2011. "Bias-Corrected Matching Estimators for Average Treatment Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 1-11, January.
- Abbring, Jaap H. & Heckman, James J., 2007. "Econometric Evaluation of Social Programs, Part III: Distributional Treatment Effects, Dynamic Treatment Effects, Dynamic Discrete Choice, and General Equilibrium Policy Evaluation," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 72, Elsevier.
- James J. Heckman & Vytlacil, Edward J., 2007. "Econometric Evaluation of Social Programs, Part I: Causal Models, Structural Models and Econometric Policy Evaluation," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 70, Elsevier.
- Charles Bellemare & Bertrand Melenberg & Arthur Soest, 2002. "Semi-parametric models for satisfaction with income," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 181-203, August.
- Guido W. Imbens, 2004.
"Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review,"
The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
- Guido W. Imbens, 2003. "Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review," NBER Technical Working Papers 0294, National Bureau of Economic Research, Inc.
- Kosuke Imai & David A. van Dyk, 2004. "Causal Inference With General Treatment Regimes: Generalizing the Propensity Score," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 854-866, January.
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Cited by:
- Dudel, Christian, 2014. "A Nonparametric Partially Identified Estimator for Equivalence Scales," Ruhr Economic Papers 526, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
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More about this item
Keywords
equivalence scales; matching; balancing; balance checking; non-parametric preprocessing; household expenditure; household behavior;All these keywords.
JEL classification:
- C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
- D10 - Microeconomics - - Household Behavior - - - General
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
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