2002, Quantitative applications in the social sciences, ISBN 0761922423, Volume 138, vi, 97
Book
1992, Quantitative applications in the social sciences, ISBN 0803943776, Volume no. 07-086, vi, 87
Book
Marketing Science, ISSN 0732-2399, 01/2009, Volume 28, Issue 1, pp. 122 - 135
Random effects or mixed logit models are often used to model differences in consumer preferences. Data from choice experiments are needed to estimate the mean...
fully Bayesian mixed logit design | design construction algorithm | D | optimality | multinomial logit design | prediction accuracy | model-robust design | semi-Bayesian mixed logit design | heterogeneity | Estimate reliability | Efficient markets | Covariance | Experiment design | Design efficiency | Design evaluation | Modeling | Parametric models | Covariance matrices | Marketing | Model-robust design | Prediction accuracy | Heterogeneity | Design construction algorithm | Semi-Bayesian mixed logit design | D-optimality | Fully Bayesian mixed logit design | Multinomial logit design | MIXED LOGIT | MODELS | BUSINESS | semi-Bayesian mixed logit design; fully Bayesian mixed logit design; heterogeneity; prediction accuracy; multinomial logit design; model-robust design; -optimality; design construction algorithm | Bayesian statistical decision theory | Logits | Usage | Models | Analysis | Consumer preferences | Studies | Brand preferences | Algorithms | Conjoint analysis | Efficiency | Bayesian analysis
fully Bayesian mixed logit design | design construction algorithm | D | optimality | multinomial logit design | prediction accuracy | model-robust design | semi-Bayesian mixed logit design | heterogeneity | Estimate reliability | Efficient markets | Covariance | Experiment design | Design efficiency | Design evaluation | Modeling | Parametric models | Covariance matrices | Marketing | Model-robust design | Prediction accuracy | Heterogeneity | Design construction algorithm | Semi-Bayesian mixed logit design | D-optimality | Fully Bayesian mixed logit design | Multinomial logit design | MIXED LOGIT | MODELS | BUSINESS | semi-Bayesian mixed logit design; fully Bayesian mixed logit design; heterogeneity; prediction accuracy; multinomial logit design; model-robust design; -optimality; design construction algorithm | Bayesian statistical decision theory | Logits | Usage | Models | Analysis | Consumer preferences | Studies | Brand preferences | Algorithms | Conjoint analysis | Efficiency | Bayesian analysis
Journal Article
1988, Working papers of the N.I.D.I., Volume no. 76, ix, 37 p. --
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1984, Sage university papers. Quantitative applications in the social sciences, ISBN 0803921330, Volume 45, 95
Book
Review of Economics and Statistics, ISSN 1530-9142, 12/2014, Volume 96, Issue 5, pp. 916 - 935
Abstract We propose a random coefficients nested logit (RCNL) model to compare the tractable nested logit (NL) model with the more complex random coefficients...
ARTICLES | EAT CEREAL INDUSTRY | DEMAND | POLICY | EUROPEAN CAR MARKET | PERFORMANCE | SOCIAL SCIENCES, MATHEMATICAL METHODS | AUTOMOBILES | MERGERS | ECONOMICS | Multilevel analysis | Logits | Analysis
ARTICLES | EAT CEREAL INDUSTRY | DEMAND | POLICY | EUROPEAN CAR MARKET | PERFORMANCE | SOCIAL SCIENCES, MATHEMATICAL METHODS | AUTOMOBILES | MERGERS | ECONOMICS | Multilevel analysis | Logits | Analysis
Journal Article
Econometrica, ISSN 0012-9682, 5/2014, Volume 82, Issue 3, pp. 1153 - 1176
We model a boundedly rational agent who suffers from limited attention. The agent considers each feasible alternative with a given (unobservable) probability,...
Economic models | Determinism | NOTES AND COMMENTS | Economic theory | Economic research | Rum | Stochastic models | Rational choice theory | Observed choices | Bounded rationality | Marketing | logit model | bounded rationality | consideration sets | Discrete choice | random utility | revealed preferences | Luce model | Revealed preferences | Logit model | Random utility | Consideration sets | ATTENTION | ELIMINATION | STATISTICS & PROBABILITY | MODEL | RATIONALITY | PROBABILISTIC CHOICE | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS | PREFERENCE
Economic models | Determinism | NOTES AND COMMENTS | Economic theory | Economic research | Rum | Stochastic models | Rational choice theory | Observed choices | Bounded rationality | Marketing | logit model | bounded rationality | consideration sets | Discrete choice | random utility | revealed preferences | Luce model | Revealed preferences | Logit model | Random utility | Consideration sets | ATTENTION | ELIMINATION | STATISTICS & PROBABILITY | MODEL | RATIONALITY | PROBABILISTIC CHOICE | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS | PREFERENCE
Journal Article
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Full Text
A convenient method for the estimation of the multinomial logit model with fixed effects
Economics Letters, ISSN 0165-1765, 04/2016, Volume 141, pp. 77 - 79
The conditional maximum likelihood estimator of the fixed-effect logit model suffers from a curse of dimensionality that may have severely limited its use in...
Sampling of alternatives | Restricted choice sets | Conditional logit | Multinomial fixed effect logit | Panel data logit
Sampling of alternatives | Restricted choice sets | Conditional logit | Multinomial fixed effect logit | Panel data logit
Journal Article
2000, Quantitative applications in the social sciences, ISBN 0761920102, Volume no. 07-132, vii, 86
Book
2006, ISBN 0761929894, xi, 107
Book
1981, General technical report (Pacific Southwest Forest and Range Experiment Station (Berkeley, Calif.)), Volume PSW-GTR-55., 37
Book
Transportation, ISSN 0049-4488, 1/2012, Volume 39, Issue 1, pp. 19 - 31
Random coefficient models such as mixed logit are increasingly being used to allow for random heterogeneity in willingness to pay (WTP) measures. In the most...
Innovation/Technology Management | Willingness-to-pay | Discrete choice | Economic Geography | Random coefficients | Engineering Economics, Organization, Logistics, Marketing | Mixed logit | Economics / Management Science | Regional/Spatial Science | MIXED LOGIT-MODELS | ENGINEERING, CIVIL | TRANSPORTATION | TRANSPORTATION SCIENCE & TECHNOLOGY | RATIO | QUOTIENT | NORMAL RANDOM-VARIABLES | Random coefficients; Willingness-to-pay; Mixed logit; Discrete choice | Studies | Travel | Willingness to pay | Transportation research
Innovation/Technology Management | Willingness-to-pay | Discrete choice | Economic Geography | Random coefficients | Engineering Economics, Organization, Logistics, Marketing | Mixed logit | Economics / Management Science | Regional/Spatial Science | MIXED LOGIT-MODELS | ENGINEERING, CIVIL | TRANSPORTATION | TRANSPORTATION SCIENCE & TECHNOLOGY | RATIO | QUOTIENT | NORMAL RANDOM-VARIABLES | Random coefficients; Willingness-to-pay; Mixed logit; Discrete choice | Studies | Travel | Willingness to pay | Transportation research
Journal Article
AMERICAN SOCIOLOGICAL REVIEW, ISSN 0003-1224, 08/2018, Volume 83, Issue 4, pp. 833 - 838
Journal Article
2008, 2nd ed., Wiley series in probability and statistics., ISBN 9780471754992, xiii, 392
"[P]rovides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical, epidemiological, biostatistical, and other...
Prognosis | Logistic Models | Data processing | Statistical methods | Medical sciences | Regression analysis | Research | Logistic distribution | Computer programs | Medicine | Survival analysis | Proportional hazards models | Mathematical Computing
Prognosis | Logistic Models | Data processing | Statistical methods | Medical sciences | Regression analysis | Research | Logistic distribution | Computer programs | Medicine | Survival analysis | Proportional hazards models | Mathematical Computing
Book
Journal of the Royal Statistical Society: Series C (Applied Statistics), ISSN 0035-9254, 11/2017, Volume 66, Issue 5, pp. 997 - 1013
Summary Applications of random‐parameter logit models can be found in various disciplines. These models have non‐concave simulated likelihood functions and the...
Differential evolution | Generalized multinomial logit | Particle swarm optimization | Mixed logit | STATISTICS & PROBABILITY | PREFERENCES | Usage | Models | Algorithms | Mathematical optimization | Analysis | Routines | Logit models | Computer simulation | Regression analysis | Maxima | Heuristic
Differential evolution | Generalized multinomial logit | Particle swarm optimization | Mixed logit | STATISTICS & PROBABILITY | PREFERENCES | Usage | Models | Algorithms | Mathematical optimization | Analysis | Routines | Logit models | Computer simulation | Regression analysis | Maxima | Heuristic
Journal Article
Stata Journal, ISSN 1536-867X, 2010, Volume 10, Issue 2, pp. 305 - 308
Journal Article
Manufacturing and Service Operations Management, ISSN 1523-4614, 10/2011, Volume 13, Issue 4, pp. 549 - 563
We consider the problem of pricing multiple differentiated products with the nested logit model and, as a special case, the multinomial logit model. We prove...
multinomial logit model | nested logit model | quantity competition with differentiated products | multiproduct pricing | price competition with differentiated products | consumer choice | Nested logit model | Multiproduct pricing | Price competition with differentiated products | Consumer choice | Quantity competition with differentiated products | Multinomial logit model | MANAGEMENT | MARKETS | STRATEGIES | CHOICE | DEMAND | DECISIONS | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | EQUILIBRIUM | INVENTORY CONTROL | JOINT INVENTORY | ASSORTMENT | Analysis | Pricing | Logits | Inventory control | Models | Revenue | Research
multinomial logit model | nested logit model | quantity competition with differentiated products | multiproduct pricing | price competition with differentiated products | consumer choice | Nested logit model | Multiproduct pricing | Price competition with differentiated products | Consumer choice | Quantity competition with differentiated products | Multinomial logit model | MANAGEMENT | MARKETS | STRATEGIES | CHOICE | DEMAND | DECISIONS | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | EQUILIBRIUM | INVENTORY CONTROL | JOINT INVENTORY | ASSORTMENT | Analysis | Pricing | Logits | Inventory control | Models | Revenue | Research
Journal Article
2002, 2nd ed., Quantitative applications in the social sciences, ISBN 0761922083, Volume 106, viii, 111
Book
Ecological Economics, ISSN 0921-8009, 2010, Volume 69, Issue 3, pp. 528 - 538
This paper examines the preference heterogeneity of the general public regarding water quality attributes and provides welfare estimates (WTP) for three...
Random parameters logit model | Preference heterogeneity | Latent class model | Choice experiment | Eutrophication | Multinomial logit model | MIXED LOGIT | LATENT-CLASS MODEL | STATE | VALUATION | WETLAND | ENVIRONMENTAL SCIENCES | ECONOMIC VALUE | ECOLOGY | ECONOMICS | RECREATION BENEFITS | ENVIRONMENTAL STUDIES | IMPROVEMENTS | Preference heterogeneity Choice experiment Eutrophication Multinomial logit model Random parameters logit model Latent class model | Water | Analysis | Water quality
Random parameters logit model | Preference heterogeneity | Latent class model | Choice experiment | Eutrophication | Multinomial logit model | MIXED LOGIT | LATENT-CLASS MODEL | STATE | VALUATION | WETLAND | ENVIRONMENTAL SCIENCES | ECONOMIC VALUE | ECOLOGY | ECONOMICS | RECREATION BENEFITS | ENVIRONMENTAL STUDIES | IMPROVEMENTS | Preference heterogeneity Choice experiment Eutrophication Multinomial logit model Random parameters logit model Latent class model | Water | Analysis | Water quality
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2017, Volume 79, Issue 2, pp. 1 - 46
This paper introduces the package gmnl in R for estimation of multinomial logit models with unobserved heterogeneity across individuals for cross-sectional and...
Mixed multinomial logit | Latent class | Preference heterogeneity | Random parameters | RANDOM SCALE | MIXED LOGIT | PREFERENCE HETEROGENEITY | mixed multinomial logit | STATISTICS & PROBABILITY | CHOICE MODELS | ALPS | latent class | random parameters | WILLINGNESS-TO-PAY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | LATENT-CLASS APPROACH | DESTINATION CHOICE | preference heterogeneity, R | SIMULATED LIKELIHOOD ESTIMATION | UTILITY | preference heterogeneity
Mixed multinomial logit | Latent class | Preference heterogeneity | Random parameters | RANDOM SCALE | MIXED LOGIT | PREFERENCE HETEROGENEITY | mixed multinomial logit | STATISTICS & PROBABILITY | CHOICE MODELS | ALPS | latent class | random parameters | WILLINGNESS-TO-PAY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | LATENT-CLASS APPROACH | DESTINATION CHOICE | preference heterogeneity, R | SIMULATED LIKELIHOOD ESTIMATION | UTILITY | preference heterogeneity
Journal Article
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