Discrete Choice Methods with Simulation
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[1] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.
[2] J. Hammersley,et al. A new Monte Carlo technique: antithetic variates , 1956, Mathematical Proceedings of the Cambridge Philosophical Society.
[3] J. Marschak. Binary Choice Constraints on Random Utility Indicators , 1959 .
[4] R. Duncan Luce,et al. Individual Choice Behavior , 1959 .
[5] J. Halton. On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals , 1960 .
[6] J. Chipman. The Foundations of Utility , 1960 .
[7] C. E. Clark. The Greatest of a Finite Set of Random Variables , 1961 .
[8] W. K. Hastings,et al. Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .
[9] H. Theil. Principles of econometrics , 1971 .
[10] A. Zellner. An Introduction to Bayesian Inference in Econometrics , 1971 .
[11] William E. Griffiths,et al. Estimation Of Actual Response Coefficients In The Hildreth-Houck Random Coefficient Model , 1972 .
[12] A. Tversky. Elimination by aspects: A theory of choice. , 1972 .
[13] D. McFadden. Conditional logit analysis of qualitative choice behavior , 1972 .
[14] Bronwyn H Hall,et al. Estimation and Inference in Nonlinear Structural Models , 1974 .
[15] R. McKelvey,et al. A statistical model for the analysis of ordinal level dependent variables , 1975 .
[16] J. Heckman. Dummy Endogenous Variables in a Simultaneous Equation System , 1977 .
[17] C. Daganzo,et al. Multinomial Probit and Qualitative Choice: A Computationally Efficient Algorithm , 1977 .
[18] D. McFadden,et al. AN APPLICATION OF DIAGNOSTIC TESTS FOR THE INDEPENDENCE FROM IRRELEVANT ALTERNATIVES PROPERTY OF THE MULTINOMIAL LOGIT MODEL , 1977 .
[19] Daniel McFadden,et al. Modelling the Choice of Residential Location , 1977 .
[20] Steven R. Lerman,et al. The Estimation of Choice Probabilities from Choice Based Samples , 1977 .
[21] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[22] H. Williams. On the Formation of Travel Demand Models and Economic Evaluation Measures of User Benefit , 1977 .
[23] Kenneth Train,et al. THE GOODS/LEISURE TRADEOFF AND DISAGGREGATE WORK TRIP MODE CHOICE MODELS. IN: URBAN TRANSPORT , 1978 .
[24] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[25] J. Hausman. Specification tests in econometrics , 1978 .
[26] D. Wise,et al. A CONDITIONAL PROBIT MODEL FOR QUALITATIVE CHOICE: DISCRETE DECISIONS RECOGNIZING INTERDEPENDENCE AND HETEROGENEOUS PREFERENCES' , 1978 .
[27] H. Niederreiter. Quasi-Monte Carlo methods and pseudo-random numbers , 1978 .
[28] E. Braaten,et al. An Improved Low-Discrepancy Sequence for Multidimensional Quasi-Monte Carlo Integration , 1979 .
[29] J. Heckman. Sample selection bias as a specification error , 1979 .
[30] Carlos F. Daganzo,et al. Multinomial Probit: The Theory and its Application to Demand Forecasting. , 1980 .
[31] J. Boyd,et al. THE EFFECT OF FUEL ECONOMY STANDARDS ON THE U.S. AUTOMOTIVE MARKET: AN HEDONIC DEMAND ANALYSIS , 1980 .
[32] N. S. Cardell,et al. Measuring the societal impacts of automobile downsizing , 1980 .
[33] Chaushie Chu,et al. Structural issues and sources of bias in residential location and travel mode choice models , 1981 .
[34] C. Manski,et al. On the Use of Simulated Frequencies to Approximate Choice Probabilities , 1981 .
[35] Charles F. Manski,et al. Alternative Estimators and Sample Designs for Discrete Choice Analysis , 1981 .
[36] Jerry A. Hausman,et al. Assessing the potential demand for electric cars , 1981 .
[37] J. Horowitz,et al. An Investigation of the Accuracy of the Clark Approximation for the Multinomial Probit Model , 1982 .
[38] Robert A. Moffitt,et al. A COMPUTATIONALLY EFFICIENT QUADRATURE PROCEDURE FOR THE ONE-FACTOR MULTINOMIAL PROBIT MODEL , 1982 .
[39] Randall G. Chapaaan,et al. Exploiting Rank Ordered Choice Set Data within the Stochastic Utility Model , 1982 .
[40] R. A. Boyles. On the Convergence of the EM Algorithm , 1983 .
[41] Juan de Dios Ortúzar,et al. Nested logit models for mixed-mode travel in urban corridors , 1983 .
[42] New York Dover,et al. ON THE CONVERGENCE PROPERTIES OF THE EM ALGORITHM , 1983 .
[43] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[44] K. Wolpin. An Estimable Dynamic Stochastic Model of Fertility and Child Mortality , 1984, Journal of Political Economy.
[45] Jeffrey A. Dubin,et al. An Econometric Analysis of Residential Electric Appliance Holdings and Consumption , 1984 .
[46] D. McFadden,et al. Specification tests for the multinomial logit model , 1984 .
[47] Moshe Ben-Akiva,et al. Discrete Choice Analysis: Theory and Application to Travel Demand , 1985 .
[48] J. Heckman,et al. Longitudinal Analysis of Labor Market Data: Alternative methods for evaluating the impact of interventions , 1985 .
[49] Kenneth A. Small,et al. EFFICIENT ESTIMATION OF NESTED LOGIT MODELS , 1985 .
[50] James J. Heckman,et al. ECONOMETRIC ANALYSIS OF LONGITUDINAL DATA , 1986 .
[51] Andrew Daly,et al. Estimating “tree” logit models , 1987 .
[52] M. Ben-Akiva,et al. The demand for local telephone service: a fully discrete model of residential calling patterns and service choices , 1987 .
[53] K. Small. A Discrete Choice Model for Ordered Alternatives , 1987 .
[54] Daniel McFadden,et al. Regression-based specification tests for the multinomial logit model , 1987 .
[55] Trudy Ann Cameron,et al. Efficient Estimation Methods for "Closed-ended' Contingent Valuation Surveys , 1987 .
[56] John Rust. Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher , 1987 .
[57] K. Wolpin. Estimating a Structural Search Model: The Transition from School to Work , 1987 .
[58] B. L. S. Prakasa Rao. Asymptotic theory of statistical inference , 1987 .
[59] H. Niederreiter. Low-discrepancy and low-dispersion sequences , 1988 .
[60] Joel H. Steckel,et al. A Heterogeneous Conditional Logit Model of Choice , 1988 .
[61] J. Geweke,et al. Antithetic acceleration of Monte Carlo integration in Bayesian inference , 1988 .
[62] Trudy Ann Cameron,et al. A New Paradigm for Valuing Non-market Goods Using Referendum Data: Maximum Likelihood Estimation by Censored Logistic Regression' , 1988 .
[63] Kenneth A. Small,et al. APPROXIMATE GENERALIZED EXTREME VALUE MODELS OF DISCRETE CHOICE , 1988 .
[64] D. Rivers,et al. Limited Information Estimators and Exogeneity Tests for Simultaneous Probit Models , 1988 .
[65] D. S. Bunch,et al. Estimability in the Multinomial Probit Model , 1989 .
[66] K. Wolpin,et al. The Specification and Estimation of Dynamic Stochastic Discrete Choice Models: A Survey , 1989 .
[67] J. Geweke,et al. Bayesian Inference in Econometric Models Using Monte Carlo Integration , 1989 .
[68] D. Pollard,et al. Simulation and the Asymptotics of Optimization Estimators , 1989 .
[69] D. McFadden. A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical Integration , 1989 .
[70] Gary J. Russell,et al. A Probabilistic Choice Model for Market Segmentation and Elasticity Structure , 1989 .
[71] Moshe Ben-Akiva,et al. Estimation of switching models from revealed preferences and stated intentions , 1990 .
[72] Michael P. Keane,et al. Four essays in empirical macro and labor economics , 1990 .
[73] Pradeep K. Chintagunta,et al. Investigating Heterogeneity in Brand Preferences in Logit Models for Panel Data , 1991 .
[74] John Geweke,et al. Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments , 1991 .
[75] Paul A. Ruud,et al. Extensions of estimation methods using the EM algorithm , 1991 .
[76] D. McFadden,et al. The method of simulated scores for the estimation of LDV models , 1998 .
[77] John Rust,et al. Estimation of Dynamic Structural Models: Problems and Prospects , 1991 .
[78] W. Michael Hanemann,et al. Statistical Efficiency of Double-Bounded Dichotomous Choice Contingent Valuation , 1991 .
[79] Steven Stern,et al. Job Exit Behavior of Older Men , 1991 .
[80] J. Horowitz. RECONSIDERING THE MULTINOMIAL PROBIT MODEL , 1991 .
[81] John Geweke,et al. Efficient Simulation from the Multivariate Normal and Student-t Distributions Subject to Linear Constraints and the Evaluation of Constraint Probabilities , 1991 .
[82] Lakshman Krishnamurthi,et al. A Probit Model of Choice Dynamics , 1992 .
[83] G. Casella,et al. Explaining the Gibbs Sampler , 1992 .
[84] D. Rubin,et al. Inference from Iterative Simulation Using Multiple Sequences , 1992 .
[85] Jerry A. Hausman,et al. Contingent valuation : a critical assessment , 1993 .
[86] Stephen Joe,et al. Implementation of a lattice method for numerical multiple integration , 1993, TOMS.
[87] Alain Monfort,et al. Simulation-based inference: A survey with special reference to panel data models , 1993 .
[88] F. Koppelman,et al. APPLICATION AND INTERPRETATION OF NESTED LOGIT MODELS OF INTERCITY MODE CHOICE , 1993 .
[89] V. J. Hotz,et al. Conditional Choice Probabilities and the Estimation of Dynamic Models , 1993 .
[90] Paul A. Ruud,et al. Handbook of Econometrics: Classical Estimation Methods for LDV Models Using Simulation , 1993 .
[91] D. Guilkey,et al. Estimation and testing in the random effects probit model , 1993 .
[92] S. Chib,et al. Bayesian analysis of binary and polychotomous response data , 1993 .
[93] A. Daly,et al. Use of the logit scaling approach to test for rank-order and fatigue effects in stated preference data , 1994 .
[94] James D. Hamilton,et al. Autoregressive conditional heteroskedasticity and changes in regime , 1994 .
[95] J. Geweke,et al. Alternative computational approaches to inference in the multinomial probit model , 1994 .
[96] John Quiggin,et al. Estimation Using Contingent Valuation Data from a Dichotomous Choice with Follow-Up Questionnaire , 1994 .
[97] Greg M. Allenby,et al. Modeling Household Purchase Behavior with Logistic Normal Regression , 1994 .
[98] V. J. Hotz,et al. A Simulation Estimator for Dynamic Models of Discrete Choice , 1994 .
[99] John Rust. Using Randomization to Break the Curse of Dimensionality , 1997 .
[100] Steven T. Berry. Estimating Discrete-Choice Models of Product Differentiation , 1994 .
[101] Bradley P. Carlin,et al. Markov Chain Monte Carlo conver-gence diagnostics: a comparative review , 1996 .
[102] Wiktor L. Adamowicz,et al. HABIT FORMATION AND VARIETY SEEKING IN A DISCRETE CHOICE MODEL OF RECREATION DEMAND , 1994 .
[103] Peter E. Rossi,et al. An exact likelihood analysis of the multinomial probit model , 1994 .
[104] Kenneth I. Wolpin,et al. The Solution and Estimation of Discrete Choice Dynamic Programming Models by Simulation and Interpol , 1994 .
[105] John Geweke,et al. Monte carlo simulation and numerical integration , 1995 .
[106] C. Bhat. A heteroscedastic extreme value model of intercity mode choice , 1995 .
[107] Kenneth Train,et al. Simulation Methods for Probit and Related Models Based on Convenient Error Partitioning - eScholarship , 1995 .
[108] Catherine L. Kling,et al. An Empirical Investigation of the Consistency of Nested Logit Models with Utility Maximization , 1995 .
[109] Denis Bolduc,et al. Multinomial Probit Estimation of Spatially Interdependent Choices: An Empirical Comparison of Two New Techniques , 1997 .
[110] John Geweke,et al. Posterior simulators in econometrics , 1995 .
[111] Terry Elrod,et al. A Factor-Analytic Probit Model for Representing the Market Structure in Panel Data , 1995 .
[112] Steven T. Berry,et al. Automobile Prices in Market Equilibrium , 1995 .
[113] R. Caflisch,et al. Quasi-Monte Carlo integration , 1995 .
[114] S. Chib,et al. Understanding the Metropolis-Hastings Algorithm , 1995 .
[115] Lung-fei Lee,et al. Asymptotic Bias in Simulated Maximum Likelihood Estimation of Discrete Choice Models , 1995, Econometric Theory.
[116] Tuffin Bruno. On the use of low discrepancy sequences in Monte Carlo methods , 1996 .
[117] D. McFadden,et al. Consumers' Evaluation of New Products: Learning from Self and Others , 1996, Journal of Political Economy.
[118] S. Mehndiratta. TIME-OF-DAY EFFECTS IN INTER-CITY BUSINESS TRAVEL. , 1996 .
[119] Tülin Erdem. A Dynamic Analysis of Market Structure Based on Panel Data , 1996 .
[120] Murray Aitkin,et al. A hybrid EM/Gauss-Newton algorithm for maximum likelihood in mixture distributions , 1996, Stat. Comput..
[121] Paul A. Ruud,et al. Simulation of multivariate normal rectangle probabilities and their derivatives theoretical and computational results , 1996 .
[122] Denis Bolduc,et al. The Effect of Incentive Policies on the Practice Location of Doctors: A Multinomial Probit Analysis , 1996, Journal of Labor Economics.
[123] Daniel McFadden,et al. Computing Willingness-to-Pay in Random Utility Models , 1996 .
[124] James D. Hamilton. Specification testing in Markov-switching time-series models , 1996 .
[125] Catherine L. Kling,et al. Testing The Consistency of Nested Logit Models with Utility Maximization , 1996 .
[126] Siddhartha Chib,et al. Markov Chain Monte Carlo Simulation Methods in Econometrics , 1996, Econometric Theory.
[127] C. Bhat. Covariance heterogeneity in nested logit models: Econometric structure and application to intercity travel , 1997 .
[128] Seiji Iwakura,et al. Multinomial probit with structured covariance for route choice behavior , 1997 .
[129] M. Wedel,et al. Market Segmentation: Conceptual and Methodological Foundations , 1997 .
[130] Chandra R. Bhat,et al. An Endogenous Segmentation Mode Choice Model with an Application to Intercity Travel , 1997, Transp. Sci..
[131] Wim P. M. Vijverberg,et al. Monte Carlo evaluation of multivariate normal probabilities , 1997 .
[132] Henryk Wozniakowski,et al. When Are Quasi-Monte Carlo Algorithms Efficient for High Dimensional Integrals? , 1998, J. Complex..
[133] K. Train,et al. Forecasting new product penetration with flexible substitution patterns , 1998 .
[134] WedelMarco VriensTom Wansbeek. Utility Covariancesand Context Effectsin Conjoint MNP Models , 1998 .
[135] Kenneth Train,et al. Customer Retention in a Competitive Power Market: Analysis of a ‘Double-Bounded Plus Follow-ups’ Questionnaire , 1998 .
[136] Aviv Nevo. Measuring Market Power in the Ready-to-Eat Cereal Industry , 1998 .
[137] Peter E. Rossi,et al. Marketing models of consumer heterogeneity , 1998 .
[138] Siddhartha Chib,et al. Markov chain Monte Carlo and models of consideration set and parameter heterogeneity , 1998 .
[139] Bradley P. Carlin,et al. Markov Chain Monte Carlo in Practice: A Roundtable Discussion , 1998 .
[140] F. Koppelman,et al. Alternative nested logit models: structure, properties and estimation , 1998 .
[141] Jordan J. Louviere,et al. Combining sources of preference data , 1998 .
[142] C. Bhat. Analysis of travel mode and departure time choice for urban shopping trips , 1998 .
[143] S. Chib,et al. Analysis of multivariate probit models , 1998 .
[144] D. Bolduc. A practical technique to estimate multinomial probit models in transportation , 1999 .
[145] M. Bierlaire,et al. Discrete Choice Methods and their Applications to Short Term Travel Decisions , 1999 .
[146] K. Train,et al. Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles , 1999, Controlling Automobile Air Pollution.
[147] C. Bhat. An analysis of evening commute stop-making behavior using repeated choice observations from a multi-day survey , 1999 .
[148] Bosang Lee. Calling Patterns and Usage of Residential Toll Service under Self Selecting Tariffs , 1999 .
[149] J. M. Villas-Boas,et al. Endogeneity in Brand Choice Models , 1999 .
[150] Ted O’Donoghue,et al. Doing It Now or Later , 1999 .
[151] David A. Hensher,et al. SPECIFICATION AND ESTIMATION OF NESTED LOGIT MODELS , 1999 .
[152] O. Linton,et al. Nonparametric Censored and Truncated Regression , 2000 .
[153] C. Bhat. Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model , 2001 .
[154] D. Hensher,et al. Stated Choice Methods: Analysis and Applications , 2000 .
[155] Peter E. Rossi,et al. Bayesian analysis of the multinomial probit model , 2000 .
[156] K. Train,et al. On the Similarity of Classical and Bayesian Estimates of Individual Mean Partworths , 2000 .
[157] Paul A. Ruud,et al. An Introduction to Classical Econometric Theory , 2000 .
[158] K. Train. Halton Sequences for Mixed Logit , 2000 .
[159] W. Greene,et al. Fixed and Random Effects in Nonlinear Models , 2001 .
[160] David Brownstone,et al. Discrete Choice Modeling for Transportation , 2001 .
[161] F. Koppelman,et al. The generalized nested logit model , 2001 .
[162] D. Hensher. The valuation of commuter travel time savings for car drivers: evaluating alternative model specifications , 2001 .
[163] Eric T. Bradlow,et al. A General Bayesian Model for Testlets: Theory and Applications , 2002 .
[164] Rick L. Andrews,et al. An Empirical Comparison of Logit Choice Models with Discrete versus Continuous Representations of Heterogeneity , 2002 .
[165] Chandra R. Bhat,et al. A UNIFIED MIXED LOGIT FRAMEWORK FOR MODELING REVEALED AND STATED PREFERENCES: FORMULATION AND APPLICATION TO CONGESTION PRICING ANALYSIS IN THE SAN FRANCISCO BAY AREA , 2002 .
[166] Andrew Chesher,et al. Taste variation in discrete choice models , 2002 .
[167] Amil Petrin. Quantifying the Benefits of New Products: The Case of the Minivan , 2001, Journal of Political Economy.
[168] P. András,et al. Alternative sampling methods for estimating multivariate normal probabilities , 2003 .
[169] Greg M. Allenby,et al. Bayesian Analysis of Simultaneous Demand and Supply , 2003 .
[170] K. Train,et al. Forthcoming in the International Economic Review. , 2006 .
[171] Steven Berry,et al. Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market , 1998, Journal of Political Economy.
[172] Fernando V. Ferreira,et al. You Can Take it with You: Transferability of Proposition 13 Tax Benefits, Residential Mobility, and Willingness to Pay for Housing Amenities , 2004 .
[173] Zsolt Sándor,et al. Quasi-random simulation of discrete choice models , 2004 .
[174] Austan Goolsbee,et al. THE CONSUMER GAINS FROM DIRECT BROADCAST SATELLITES AND THE COMPETITION WITH CABLE TV , 2004 .
[175] Pradeep Chintagunta,et al. Beyond the Endogeneity Bias: The Effect of Unmeasured Brand Characteristics on Household-Level Brand Choice Models , 2005, Manag. Sci..