An approach to the estimation of the distribution of marginal valuations from discrete choice data
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- Train, K. & Weeks, M., 2004. "Discrete Choice Models in Preference Space and Willingness-to Pay Space," Cambridge Working Papers in Economics 0443, Faculty of Economics, University of Cambridge.
- Ian Bateman & Alistair Munro & Bruce Rhodes & Chris Starmer & Robert Sugden, 1997. "A Test of the Theory of Reference-Dependent Preferences," The Quarterly Journal of Economics, Oxford University Press, vol. 112(2), pages 479-505.
- Lewbel, Arthur & McFadden, Daniel & Linton, Oliver, 2011.
"Estimating features of a distribution from binomial data,"
Journal of Econometrics,
Elsevier, vol. 162(2), pages 170-188, June.
- Arthur Lewbel & Daniel McFadden & Oliver Linton, 1997. "Estimating Features of a Distribution from Binomial Data," Boston College Working Papers in Economics 442, Boston College Department of Economics, revised 01 Jul 2010.
- Lewbel, Arthur & Linton, Oliver & McFadden, D. L., 2006. "Estimating features of a distribution from binomial data," LSE Research Online Documents on Economics 4418, London School of Economics and Political Science, LSE Library.
- Arthur Lewbel & Oliver Linton & Daniel McFadden, 2001. "Estimating features of a distribution from binomial data," CeMMAP working papers CWP07/01, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Cameron, Trudy Ann, 1988. "A new paradigm for valuing non-market goods using referendum data: Maximum likelihood estimation by censored logistic regression," Journal of Environmental Economics and Management, Elsevier, vol. 15(3), pages 355-379, September.
- Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
- Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
- Fosgerau, Mogens, 2006.
"Investigating the distribution of the value of travel time savings,"
Transportation Research Part B: Methodological,
Elsevier, vol. 40(8), pages 688-707, September.
- Mogens Fosgerau, 2004. "Investigating the distribution of the value of travel time savings," Urban/Regional 0410005, EconWPA, revised 25 Nov 2004.
- Mogens Fosgerau, 2004. "Investigating the distribution of the value of travel time savings," Urban/Regional 0411006, EconWPA.
- Mogens Fosgerau & Michel Bierlaire, 2005. "A practical test for the choice of mixing distribution in a discrete choice model," Econometrics 0512002, EconWPA.
- Bierens, Herman J., 2008. "Semi-Nonparametric Interval-Censored Mixed Proportional Hazard Models: Identification And Consistency Results," Econometric Theory, Cambridge University Press, vol. 24(03), pages 749-794, June.
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- Ojeda-Cabral, Manuel & Chorus, Caspar G., 2016. "Value of travel time changes: Theory and simulation to understand the connection between Random Valuation and Random Utility methods," Transport Policy, Elsevier, vol. 48(C), pages 139-145.
- Fosgerau, Mogens & Nielsen, Søren Feodor, 2010.
"Deconvoluting Preferences And Errors: A Model For Binomial Panel Data,"
Cambridge University Press, vol. 26(06), pages 1846-1854, December.
- Fosgerau, Mogens & Nielsen, Søren Feodor, 2007. "Deconvoluting preferences and errors: a model for binomial panel data," MPRA Paper 3950, University Library of Munich, Germany.
- Hess, Stephane & Daly, Andrew & Dekker, Thijs & Cabral, Manuel Ojeda & Batley, Richard, 2017. "A framework for capturing heterogeneity, heteroskedasticity, non-linearity, reference dependence and design artefacts in value of time research," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 126-149.
- repec:kap:transp:v:45:y:2018:i:1:d:10.1007_s11116-016-9716-4 is not listed on IDEAS
More about this item
KeywordsDiscrete choice; valuation; mixed logit;
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2007-07-13 (All new papers)
- NEP-DCM-2007-07-13 (Discrete Choice Models)
- NEP-ECM-2007-07-13 (Econometrics)
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