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NONPARAMETRIC CONTINUOUS/DISCRETE CHOICE MODELS

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  • Whitney K. Newey

Abstract

Modeling choices that are both discrete and continuous is important in several settings. The purpose of this article is to explore formulation and identification of such models when indirect utility functions are specified nonparametrically. Here we consider general nonseparable disturbances. We give identification results for nonseparable sample selection models and use these to analyze identification of discrete/continuous choice models. Copyright 2007 by the Economics Department Of The University Of Pennsylvania And Osaka University Institute Of Social And Economic Research Association.

Suggested Citation

  • Whitney K. Newey, 2007. "NONPARAMETRIC CONTINUOUS/DISCRETE CHOICE MODELS," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(4), pages 1429-1439, November.
    • Handle: RePEc:ier:iecrev:v:48:y:2007:i:4:p:1429-1439
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    Cited by:

    1. Martin Huber & Giovanni Mellace, 2014. "Testing exclusion restrictions and additive separability in sample selection models," Empirical Economics, Springer, vol. 47(1), pages 75-92, August.
    2. Martin Huber & Anna Solovyeva, 2020. "Direct and Indirect Effects under Sample Selection and Outcome Attrition," Econometrics, MDPI, vol. 8(4), pages 1-25, December.
    3. Viauroux, Christelle, 2011. "Pricing urban congestion: A structural random utility model with traffic anticipation," European Economic Review, Elsevier, vol. 55(7), pages 877-902.
    4. Iván Fernández‐Val & Aico van Vuuren & Francis Vella & Franco Peracchi, 2023. "Selection and the distribution of female real hourly wages in the United States," Quantitative Economics, Econometric Society, vol. 14(2), pages 571-607, May.
    5. Escanciano, Juan Carlos & Jacho-Chávez, David T. & Lewbel, Arthur, 2014. "Uniform convergence of weighted sums of non and semiparametric residuals for estimation and testing," Journal of Econometrics, Elsevier, vol. 178(P3), pages 426-443.
    6. Helmers, Christian & Rogers, Mark, 2011. "Does patenting help high-tech start-ups?," Research Policy, Elsevier, vol. 40(7), pages 1016-1027, September.
    7. Martin Huber, 2012. "Identification of Average Treatment Effects in Social Experiments Under Alternative Forms of Attrition," Journal of Educational and Behavioral Statistics, , vol. 37(3), pages 443-474, June.
    8. Tatsuya Abe, 2022. "Welfare Effects of Fuel Tax and Feebate Policies in the Japanese New Car Market," ISER Discussion Paper 1183, Institute of Social and Economic Research, Osaka University.
    9. Roger Klein & Chan Shen & Francis Vella, 2011. "Semiparametric selection models with binary outcomes," CeMMAP working papers CWP30/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Heng Chen & Geoffrey Dunbar & Q. Rallye Shen, 2020. "The Mode is the Message: Using Predata as Exclusion Restrictions to Evaluate Survey Design," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 341-357, Emerald Group Publishing Limited.
    11. Rothe, Christoph, 2009. "Semiparametric estimation of binary response models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 153(1), pages 51-64, November.
    12. Martin Huber & Anna Solovyeva, 2020. "On the Sensitivity of Wage Gap Decompositions," Journal of Labor Research, Springer, vol. 41(1), pages 1-33, June.
    13. Mathieu David & Joaquín Alonso-Montesinos & Josselin Le Gal La Salle & Philippe Lauret, 2023. "Probabilistic Solar Forecasts as a Binary Event Using a Sky Camera," Energies, MDPI, vol. 16(20), pages 1-18, October.
    14. Tatsuya Abe, 2022. "Welfare Effects of Fuel Tax and Feebate Policies in the Japanese New Car Market," Working Papers e172, Tokyo Center for Economic Research.

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