Estimation and Welfare Analysis from Mixed Logit Recreation Demand Models with Large Choice Sets

[1]  F. Koppelman,et al.  APPLICATION AND INTERPRETATION OF NESTED LOGIT MODELS OF INTERCITY MODE CHOICE , 1993 .

[2]  Stuart G. Baker,et al.  A Simple Method for Computing the Observed Information Matrix When Using the EM Algorithm with Categorical Data , 1992 .

[3]  Erik Meijer,et al.  Measuring Welfare Effects in Models with Random Coefficients , 2000 .

[4]  Kenneth Train,et al.  Mixed Logit with Bounded Distributions of Partworths , 2003 .

[5]  Wei-Chun Tseng,et al.  Some Preliminary Evidence on Sampling of Alternatives with the Random Parameters Logit , 1999, Marine Resource Economics.

[6]  R. Scarpa,et al.  Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences , 2005, Land Economics.

[7]  J. Horowitz,et al.  What is the role of consideration sets in choice modeling , 1995 .

[8]  Peter Feather,et al.  Sampling and Aggregation Issues in Random Utility Model Estimation , 1994 .

[9]  Chandra R. Bhat,et al.  Numerical Analysis of Effect of Sampling of Alternatives in Discrete Choice Models , 2004 .

[10]  Michel Wedel,et al.  Latent class metric conjoint analysis , 1992 .

[11]  Moshe Ben-Akiva,et al.  Integration of an Activity-based Model System and a Residential Location Model , 1998 .

[12]  Roger H. von Haefen,et al.  Latent Consideration Sets and Continuous Demand System Models , 2003 .

[13]  V. Hajivassiliou,et al.  Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models , 1993 .

[14]  J. Geweke,et al.  Alternative computational approaches to inference in the multinomial probit model , 1994 .

[15]  Mary Jo Kealy,et al.  Randomly Drawn Opportunity Sets in a Random Utility Model of Lake Recreation , 1992 .

[16]  David A. Hensher,et al.  The Mixed Logit Model: the State of Practice and Warnings for the Unwary , 2001 .

[17]  Paul A. Ruud,et al.  Extensions of estimation methods using the EM algorithm , 1991 .

[18]  K. Train,et al.  Mixed Logit with Repeated Choices: Households' Choices of Appliance Efficiency Level , 1998, Review of Economics and Statistics.

[19]  Riccardo Scarpa,et al.  Effects on Welfare Measures of Alternative Means of Accounting for Preference Heterogeneity in Recreational Demand Models , 2008 .

[20]  Bosang Lee.  Calling Patterns and Usage of Residential Toll Service under Self Selecting Tariffs , 1999 .

[21]  H. Akaike.  A new look at the statistical model identification , 1974 .

[22]  Jennifer A. Thacher,et al.  Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model , 2006 .

[23]  Timothy C. Haab,et al.  Accounting for Choice Set Endogeneity in Random Utility Models of Recreation Demand , 1997 .

[24]  Craig E. Landry,et al.  A semi-parametric estimator for revealed and stated preference data--An application to recreational beach visitation , 2009 .

[25]  C. Kling,et al.  The Implications of Model Specification for Welfare Estimation in Nested Logit Models , 1996 .

[26]  G. McLachlan,et al.  The EM algorithm and extensions , 1996 .

[27]  John M. Rose,et al.  Effects of distributional assumptions on conditional estimates from mixed logit models , 2007 .

[28]  Kenneth Train,et al.  EM algorithms for nonparametric estimation of mixing distributions , 2008 .

[29]  J. Thacher,et al.  Using patient characteristics and attitudinal data to identify depression treatment preference groups: a latent‐class model , 2005, Depression and anxiety.

[30]  Christopher Timmins,et al.  A revealed preference approach to the measurement of congestion in travel cost models , 2007 .

[31]  Chandra R. Bhat,et al.  Recent Methodological Advances Relevant to Activity and Travel Behavior Analysis , 2002 .

[32]  W. Shaw,et al.  Modeling Overnight Recreation Trip Choice , 1999 .

[33]  Chandra R. Bhat,et al.  Disaggregate Attraction-End Choice Modeling: Formulation and Empirical Analysis , 1998 .

[34]  Frank S. Koppelman,et al.  Representing the differences between female and male commute behavior in residential location choice models , 2001 .

[35]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[36]  David A. Hensher,et al.  A latent class model for discrete choice analysis: contrasts with mixed logit , 2003 .

[37]  D. McFadden,et al.  ESTIMATION BY SIMULATION , 1994 .

[38]  Chandra R. Bhat,et al.  Modeling the choice continuum: an integrated model of residential location, auto ownership, bicycle ownership, and commute tour mode choice decisions , 2011 .

[39]  Moshe Ben-Akiva,et al.  STRUCTURE OF PASSENGER TRAVEL DEMAND MODELS , 1974 .

[40]  D. McFadden.  Conditional logit analysis of qualitative choice behavior , 1972 .

[41]  Jennifer Murdock,et al.  Handling unobserved site characteristics in random utility models of recreation demand , 2006 .

[42]  Dan Rigby,et al.  Mixed Logit Model Performance and Distributional Assumptions: Preferences and GM foods , 2009 .

[43]  K. Small,et al.  Applied Welfare Economics with Discrete Choice Models , 1979 .

[44]  Clifford M. Hurvich,et al.  Regression and time series model selection in small samples , 1989 .

[45]  Xiao-Li Meng,et al.  Using EM to Obtain Asymptotic Variance-Covariance Matrices: The SEM Algorithm , 1991 .

[46]  J. Heckman,et al.  A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data , 1984 .

[47]  T. Louis.  Finding the Observed Information Matrix When Using the EM Algorithm , 1982 .

[48]  Kevin J. Boyle,et al.  Narrow choice sets in a random utility model of recreation demand. , 2000 .

[49]  D. McFadden,et al.  MIXED MNL MODELS FOR DISCRETE RESPONSE , 2000 .

[50]  Mark D. Uncles,et al.  Discrete Choice Analysis: Theory and Application to Travel Demand , 1987 .

[51]  Kathryn Roeder,et al.  Modeling Uncertainty in Latent Class Membership: A Case Study in Criminology , 1999 .

[52]  George R. Parsons,et al.  Site Aggregation in a Random Utility Model of Recreation , 1992 .

[53]  George R. Parsons,et al.  Spatial boundaries and choice set definition in a random utility model of recreation demand. , 1998 .

[54]  K. Train.  Recreation Demand Models with Taste Differences Over People , 1998 .

[55]  P. Feather.  Valuing Food Store Access: Policy Implications for the Food Stamp Program , 2003 .

[56]  R. Jennrich,et al.  Standard errors for EM estimation , 2000 .

[57]  M. Ben-Akiva,et al.  The demand for local telephone service: a fully discrete model of residential calling patterns and service choices , 1987 .