Estimación Directa de Disposición a Pagar en Modelos de Elección Discreta

Autores/as

  • Ricardo Daziano Cornell University

Palabras clave:

modelos de elección discreta, disposición a pagar, normalización.

Resumen

Aunque los parámetros de un modelo de elección discreta carecen de una interpretación económica directa, la razón entre dos parámetros puede ser interpretada como una tasa marginal de sustitución. En particular, es posible obtener la disposición a pagar por mejoramientos cualitativos a partir de la razón de la utilidad marginal de un atributo hedónico y la utilidad marginal del ingreso. En este trabajo se describe una metodología alternativa de estimación de un modelo de elección discreta, basada en la normalización de la utilidad marginal del ingreso, de forma de transformar el espacio de los parámetros directamente en unidades monetarias.

Citas

Albert, J. y S. Chib (1993). Bayesian analysis of binary and polychotomous response data. Journal of the American Statistical Association 88:669-679.

Algers, S., Bergström, P., Dahlberg, M., y J. L. Dillén (1998). Mixed Logit Estimation of the Value of Travel Time, Working Paper, Department of Economics, Uppsala University, Uppsala, Sweden.

Balcombe, K., A. Bailey, A. Chalak y I. Fraser (2008). Modifying willingness to pay estimates where respondents mis-report their preferences. Applied Economics Letters 15, 327-330.

Balcombe, K., A. Chalak y I. Fraser (2009). Model selection for the mixed logit with Bayesian estimation. Journal of Environmental Economics and Management 57, 226-237.

Bolduc, D., Khalaf, L. y Y. Clement (2010). Identification robust confidence set methods for inference on parameter ratios with application to discrete choice models. Journal of Econometrics, 147(2), 316-327.

Brownstone, D. (2001). Discrete Choice Modeling for Transportation, in D. Hensher (ed.), Travel Behaviour Research: The Leading Edge. Amsterdam: Pergamon, 97-124.

Bunch, D. (1991). Estimability in the multinomial probit model. Transportation Research Part B: Methodological 25(1), 1-12.

Cirillo, C. y K.W. Axhausen (2006). Evidence on the distribution of values of travel time savings from a six-week diary. Transportation Research Part A: Policy and Practice 40(5), 444-457.

Daly, A.J., S. Hess y K.E. Train (2011). Assuring finite moments for willingness to pay in random coefficients models, Transportation, forthcoming.

Dufour, J.M. (1997). Some impossibility theorems in econometrics, with applications to structural and dynamic models. Econometrica 65, 1365-1389.

Greene, W. y D. Hensher (2010). Does scale heterogeneity across individuals matter? An empirical assessment of different logit models, Transportation 37(3), 413-428.

Hensher, D. y W.H. Greene (2003). The mixed logit model: the state of practice. Transportation 30(2), 133-176.

Hess, S., Bierlaire, M., y J.W. Polak (2005). Estimation of value of travel-time savings using mixed logit models. Transportation Research Part A: Policy and Practice 39, 221-236.

Hess, S., Train, K.E. y J.W. Polak (2006). On the use of a modified latin hypercube sampling (MLHS) method in the estimation of a mixed logit model for vehicle choice. Transportation Research Part B, 40: 147 -163.

Risa Hole, A. y J. Riise Kolstad (2011). Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiments, Empirical Economics, DOI 10.1007/s00181-011-0500-1.

Horne, M., Jaccard, M. y K. Tiedemann (2005). Improving behavioral realism in hybrid energy-economy models using discrete choice studies of personal transportation decisions. Energy Economics 27(1): 59-77.

Ichimura, H. (1993). Semiparametric Least Squares (SLS) and Weighted SLS Estimation of Single Index Models. Journal of Econometrics 58, 71-120.

Jedidi, K., Jagpal, S. y P. Manchanda (2003). Measuring heterogeneous reservation prices for product bundles. Marketing Science, 22, 107-130.

Klein, R. W. y R. H. Spady (1993). An Efficient Semiparametric Estimator for Binary Response Models. Econometrica 61(2), 387-421.

McCulloch, R.R., Polson, N.G., y P.E. Rossi (2000). Bayesian analysis of the multinomial probit model with fully identified parameters. Journal of Econometrics, 99, 173-193.

McCulloch, R., y P. Rossi (2000). Bayesian analysis of the multinomial probit model, in R. Mariano, T. Schuermann, and M. Weeks, eds., Simulation-Based Inference in Econometrics, Cambridge University Press, New York.

McFadden, D. (1999). Computing willingness-to-pay in random utility models, in J.R. Melvin, J.C. Moore and R.G. Riezman, eds., Trade, Theory and Econometrics, Routledge Studies in the Modern World Economy, Routledge, New York, Chapter 15, 253-274.

McFadden, D. (2001). Economic choices. American Economic Review, 91(3), 351-378.

Meijer, E. y J. Rouwendal (2006). Measuring welfare effects in models with random coefficients. Journal of Applied Econometrics 21, 227-244.

Revelt, D., y K. Train (1998). Mixed logit with repeated choices: Households’ choices of appliance efficiency level. Review of Economics and Statistics 4, 647-657.

Sillano, M., y J. de D. Ortúzar (2005). Willingness-to-pay estimation with mixed logit models: some new evidence. Environment and Planning A 37(3), 525-550.

Scarpa, R., M. Thiene, y K. Train (2005). Utility in willingness to pay space: a tool to address confounding random scale effects in destination choice to the Alps, American Journal of Agricultural Economics 90(4), 994-1010.

Sonnier, G., A. Ainslie y T. Otter (2007). Heterogeneity distributions of willingness-to-pay in choice models. Quantitative Marketing Economics 5(3), 313-331.

Train, K. y G. Sonnier (2005). Mixed logit with bounded distributions of correlated partworths. In R. Scarpa and A. Alberini, editors, Applications of Simulation Methods in Environmental and Resource Economics. Kluwer Academic Publishers, Boston, MA.

Train, K. y M. Weeks (2005). Discrete choice models in preference space and willingness to pay space, in R. Scarpa and A. Alberini, eds., Applications of Simulation Methods in Environmental and Resource Economics, Kluwer Academic Publishers, Boston, MA.

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Publicado

11-04-2016

Número

Sección

Artículo Sistemas de Transporte