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Estimating Quantal Choice Models From Pooled Choice Based Samples And Supplementary Random Samples Without Choice Data
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Book Synopsis Estimating Quantal Choice Models from Pooled Choice-based Samples and Supplementary Random Samples Without Choice Data by : Nicholas Scott Cardell
Download or read book Estimating Quantal Choice Models from Pooled Choice-based Samples and Supplementary Random Samples Without Choice Data written by Nicholas Scott Cardell and published by . This book was released on 1987 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Non-random Sampling in the Calibration of Disaggregate Choice Models by : Steven R. Lerman
Download or read book Non-random Sampling in the Calibration of Disaggregate Choice Models written by Steven R. Lerman and published by . This book was released on 1975 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Efficient Estimation of Discrete-choice Models from Choice-based Samples by : Stephen Rhys Cosslett
Download or read book Efficient Estimation of Discrete-choice Models from Choice-based Samples written by Stephen Rhys Cosslett and published by . This book was released on 1979 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applied Logistic Regression by : David W. Hosmer, Jr.
Download or read book Applied Logistic Regression written by David W. Hosmer, Jr. and published by Wiley-Interscience. This book was released on 1989-07-31 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shows how to model a binary outcome variable from a linear regression analysis point of view. Develops the logistic regression model and describes its use in methods for modeling the relationship between a dichotomous outcome variable and a set of covariates. Following establishment of the model there is discussion of its interpretation. Several data sets are the source of the examples and the exercises, and a number of software packages are used to analyze data sets, including BMDP, EGRET, GLIM, SAS, and SYSTAT.
Book Synopsis Proceedings of the Social Statistics Section by : American Statistical Association. Social Statistics Section
Download or read book Proceedings of the Social Statistics Section written by American Statistical Association. Social Statistics Section and published by . This book was released on 1987 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Interpreting Discrete Choice Models by : Garrett Glasgow
Download or read book Interpreting Discrete Choice Models written by Garrett Glasgow and published by Cambridge University Press. This book was released on 2022-05-12 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: In discrete choice models the relationships between the independent variables and the choice probabilities are nonlinear, depending on both the value of the particular independent variable being interpreted and the values of the other independent variables. Thus, interpreting the magnitude of the effects (the “substantive effects”) of the independent variables on choice behavior requires the use of additional interpretative techniques. Three common techniques for interpretation are described here: first differences, marginal effects and elasticities, and odds ratios. Concepts related to these techniques are also discussed, as well as methods to account for estimation uncertainty. Interpretation of binary logits, ordered logits, multinomial and conditional logits, and mixed discrete choice models such as mixed multinomial logits and random effects logits for panel data are covered in detail. The techniques discussed here are general, and can be applied to other models with discrete dependent variables which are not specifically described here.
Book Synopsis Quantal Choice Models and Conjoint Analysis by : Dick R. Wittink
Download or read book Quantal Choice Models and Conjoint Analysis written by Dick R. Wittink and published by . This book was released on 1981 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Efficient Methods of Moments Estimator for Discrete Choice Models with Choice Models with Choice-based Sampling by : Guido Imbens
Download or read book An Efficient Methods of Moments Estimator for Discrete Choice Models with Choice Models with Choice-based Sampling written by Guido Imbens and published by . This book was released on 1991 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis On Modeling Discrete Choice Data by : Zhen Chen
Download or read book On Modeling Discrete Choice Data written by Zhen Chen and published by . This book was released on 2001 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Estimating Dynamic Panel Data Discrete Choice Models with Fixed Effects by : Jesús M. Carro
Download or read book Estimating Dynamic Panel Data Discrete Choice Models with Fixed Effects written by Jesús M. Carro and published by . This book was released on 2003 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Estimating Multinomial Choice Models with Unobserved Choice Sets by : Zhentong Lu
Download or read book Estimating Multinomial Choice Models with Unobserved Choice Sets written by Zhentong Lu and published by . This book was released on 2019 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper proposes a new approach to estimating multinomial choice models when each consumer's actual choice set is unobservable but could be bounded by two known sets, i.e., the largest and smallest possible choice sets. The bounds on choice set, combined with a monotonicity property derived from utility maximization, imply a system of inequality restrictions on observed choice probabilities that could be used to identify and estimate the model. A key insight is that the identification of random utility model can be achieved without exact information on consumers' choice sets, which generalizes the identification result of the standard multinomial choice model. The effectiveness of the proposed approach is demonstrated via a range of Monte Carlo experiments as well as an empirical application to consumer demand for potato chips using household scanner data.
Book Synopsis Random Vs. Fixed Coefficient Quantal Choice Models by : Gregory W. Fischer
Download or read book Random Vs. Fixed Coefficient Quantal Choice Models written by Gregory W. Fischer and published by . This book was released on 1978 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Random Projection Estimation of Discrete-Choice Models with Large Choice Sets by : Khai Chiong
Download or read book Random Projection Estimation of Discrete-Choice Models with Large Choice Sets written by Khai Chiong and published by . This book was released on 2016 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: We introduce sparse random projection, an important tool from machine learning, for the estimation of discrete-choice models with high-dimensional choice sets. First, the high-dimensional data are compressed into a lower-dimensional Euclidean space using random projections. In the second step, estimation proceeds using the cyclic monotonicity inequalities implied by the multinomial choice model; the estimation procedure is semi-parametric and does not require explicit distributional assumptions to be made regarding the random utility errors. The random projection procedure is justified via the Johnson-Lindenstrauss Lemma: - the pairwise distances between data points are preserved during data compression, which we exploit to show convergence of our estimator. The estimator works well in computational simulation and in a application to a real-world supermarket scanner dataset.
Book Synopsis Estimating Semi-Parametric Panel Multinomial Choice Models Using Cyclic Monotonicity by : Xiaoxia Shi
Download or read book Estimating Semi-Parametric Panel Multinomial Choice Models Using Cyclic Monotonicity written by Xiaoxia Shi and published by . This book was released on 2018 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper proposes a new semi-parametric identification and estimation approach to multinomial choice models in a panel data setting with individual fixed effects. Our approach is based on cyclic monotonicity, which is a defining convex-analytic feature of the random utility framework underlying multinomial choice models. From the cyclic monotonicity property, we derive identifying inequalities without requiring any shape restrictions for the distribution of the random utility shocks. These inequalities point identify model parameters under straightforward assumptions on the covariates. We propose a consistent estimator based on these inequalities.
Book Synopsis Efficient Estimation of Choice-based Sample Models with the Method of Moments by : Guido W. Imbens
Download or read book Efficient Estimation of Choice-based Sample Models with the Method of Moments written by Guido W. Imbens and published by . This book was released on 1989 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Non-random Sampling in the Calibration of Disaggregate Choice Models. Final Report by : Steven R. Lerman
Download or read book Non-random Sampling in the Calibration of Disaggregate Choice Models. Final Report written by Steven R. Lerman and published by . This book was released on 1976 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Estimation of Choice Models from Panel Data by : Carlos Daganzo
Download or read book Estimation of Choice Models from Panel Data written by Carlos Daganzo and published by . This book was released on 1980 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt:
