scholarly journals Heterogeneous Choice Sets and Preferences

Econometrica ◽  
2021 ◽  
Vol 89 (5) ◽  
pp. 2015-2048
Author(s):  
Levon Barseghyan ◽  
Maura Coughlin ◽  
Francesca Molinari ◽  
Joshua C. Teitelbaum
Keyword(s):  
Unobserved Heterogeneity ◽  
Expected Utility Theory ◽  
Minimum Size ◽  
Discrete Choice Analysis ◽  
Conditional Moment ◽  
Higher Dimensional ◽  
Choice Analysis ◽  
Choice Sets ◽  
Finite Set ◽  
Feasible Sets

We propose a robust method of discrete choice analysis when agents' choice sets are unobserved. Our core model assumes nothing about agents' choice sets apart from their minimum size. Importantly, it leaves unrestricted the dependence, conditional on observables, between choice sets and preferences. We first characterize the sharp identification region of the model's parameters by a finite set of conditional moment inequalities. We then apply our theoretical findings to learn about households' risk preferences and choice sets from data on their deductible choices in auto collision insurance. We find that the data can be explained by expected utility theory with low levels of risk aversion and heterogeneous non‐singleton choice sets, and that more than three in four households require limited choice sets to explain their deductible choices. We also provide simulation evidence on the computational tractability of our method in applications with larger feasible sets or higher‐dimensional unobserved heterogeneity.

scholarly journals Port Greening: Discrete Choice Analysis Investigation on Environmental Parameters Affecting Container Shipping Companies’ Behaviors

2021 ◽  
Vol 13 (13) ◽  
pp. 7010
Author(s):  
Lorenzo Franchi ◽  
Thierry Vanelslander
Keyword(s):  
Environmental Parameters ◽  
Vital Role ◽  
Discrete Choice Analysis ◽  
Environmental Aspects ◽  
Ecological Performance ◽  
Port Operations ◽  
Choice Analysis ◽  
The World ◽  
Terrestrial Habitats ◽  
Green Port

For centuries, ports have functioned as an economic engine, facilitating maritime transport, offering prosperity and social development to the host communities. Ports are gateways for international trade playing a vital role in the world economy, but it is not excluded that port operations can also have adverse effects on the environment. Air and water emissions, marine sediments, noise, waste generation, loss and degradation of terrestrial habitats and changes to marine ecosystems are just some of the leading environmental challenges with port’s operations. Environmental management within port operations has been a rapidly growing trend, with many ports around the world adopting different types of approaches and initiatives to improve ecological performance. Despite that many ports around the world have implemented greening strategies for growth and sustainable development, there are still many other ports that work less than they should do on environmental aspects and on the generation of ‘green ports’. These latter have fallen behind in the development of the theme. Therefore, the work reported here aims at analyzing what the best way to act should be, even starting from the beginning for a port that is not very innovative, in order to pursue the practical and theoretical levels of ‘green port’.

scholarly journals Determination of Additional Willingness to Pay for Socially Responsible Technical Products Using Discrete Choice Analysis

2016 ◽  
Vol 6 (1) ◽  
pp. 45
Author(s):  
Florian Vincent Haase ◽  
Maria Kohlmeyer ◽  
Beatrice Rich ◽  
Ralf Woll
Keyword(s):  
Social Responsibility ◽  
Willingness To Pay ◽  
Discrete Choice ◽  
Discrete Choice Analysis ◽  
Socially Responsible ◽  
Choice Analysis ◽  
Primary Goods ◽  
Technical Products

<p>Previous studies examined additional willingness to pay for socially responsible primary goods. However, technical products have not been considered. Therefore, the purpose of this study is to estimate additional willingness to pay for socially responsible technical products. Within an overview of given methods for measuring willingness to pay, the discrete choice analysis was applied to this study. As technical products, computer mice were chosen exemplary, since there is a partially fair mouse available. It was found that two of three fair labeled mice have a negative willingness to pay. Only consumers of the fair produced and labeled mouse has a positive willingness to pay. The consumers pay perhaps more attention to the aspect of social responsibility, if presented brands are comparatively unknown. In this connection, consumers allocate a higher value to social responsibility.</p>

On Foundations of Estimation for Nonparametric Regression With Continuous Optimization

2020 ◽  
pp. 177-203
Author(s):  
Pakize Taylan
Keyword(s):  
Nonparametric Regression ◽  
Model Building ◽  
Continuous Optimization ◽  
Parametric Models ◽  
Independent Variables ◽  
Regression Parameters ◽  
Higher Dimensional ◽  
Finite Set ◽  
Regression Techniques ◽  
The Relationship

The aim of parametric regression models like linear regression and nonlinear regression are to produce a reasonable relationship between response and independent variables based on the assumption of linearity and predetermined nonlinearity in the regression parameters by finite set of parameters. Nonparametric regression techniques are widely-used statistical techniques, and they not only relax the assumption of linearity in the regression parameters, but they also do not need a predetermined functional form as nonlinearity for the relationship between response and independent variables. It is capable of handling higher dimensional problem and sizes of sample than regression that considers parametric models because the data should provide both the model building and the model estimates. For this purpose, firstly, PRSS problems for MARS, ADMs, and CR will be constructed. Secondly, the solution of the generated problems will be obtained with CQP, one of the famous methods of convex optimization, and these solutions will be called CMARS, CADMs, and CKR, respectively.

scholarly journals Research: Discrete Choice Analysis in Hospitality Management Research

1997 ◽  
Vol 21 (1) ◽  
pp. 28-47 ◽  
Author(s):  
Rohit Verma ◽  
Gary M. Thompson
Keyword(s):  
Conjoint Analysis ◽  
Discrete Choice ◽  
Logit Model ◽  
Multinomial Logit Model ◽  
Theoretical Background ◽  
Hospitality Management ◽  
Discrete Choice Analysis ◽  
Management Research ◽  
Customer Preferences ◽  
Choice Analysis

This article focuses on discrete choice analysis (DCA), which offers an effective approach for incorporating customer preferences into operating decisions in hospitality businesses. First the theoretical background of DCA is presented, including a discussion of how DCA compares to conjoint analysis. The authors then present a guide to designing and conducting a DCA study. Conducting a discrete choice study involves identifying the attributes relevant to customers'choices and the appropriate levels of these attributes, designing an experiment, collecting data and estimating parameters using a multinomial logit model. Finally, the strategic implications of DCA in hospitality management research are discussed.

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