scholarly journals A Note on the Petroleum Industry's Participation in Conservation Agreements for the Lesser Prairie Chicken

2018 ◽  
Vol 48 (1) ◽  
pp. 100-116 ◽  
Author(s):  
Richard T. Melstrom
Keyword(s):  
Economic Development ◽  
Discrete Choice ◽  
Choice Model ◽  
Endangered Species Act ◽  
Habitat Conservation ◽  
Willingness To Participate ◽  
Gas Wells ◽  
Prairie Chicken ◽  
Oil And Natural Gas ◽  
Using Data

This paper examines the petroleum industry's willingness to participate in conservation agreements for the lesser prairie chicken, a candidate for listing under the Endangered Species Act (ESA). Voluntary conservation agreements with assurances (VCAAs) can incentivize habitat conservation and sustain economic development. Using data on oil and natural gas wells in Kansas and Oklahoma, I develop a discrete choice model to examine company preferences for locating wells and participating in VCAAs for the lesser prairie chicken. Participation in VCAAs is low, but I find participating wells are concentrated in areas with the most crucial habitat.

scholarly journals The Effect of Unconditional Cash Transfers on Adult Labour Supply: A Unitary Discrete Choice Model for the Case of Ecuador

2015 ◽  
Vol 10 (2) ◽  
Author(s):  
Andrés Mideros ◽  
Cathal O’Donoghue
Keyword(s):  
Discrete Choice ◽  
Labour Supply ◽  
Choice Model ◽  
Discrete Choice Model ◽  
Cash Transfers ◽  
Negative Income ◽  
Social Transfers ◽  
Supply Model ◽  
Using Data ◽  
Unconditional Cash Transfers

AbstractWe examine the effect of unconditional cash transfers by a unitary discrete labour supply model. We argue that there is no negative income effect of social transfers in the case of poor adults because leisure could not be assumed to be a normal good under such conditions. Using data from the national employment survey of Ecuador (ENEMDUR) we estimate the effect of the

scholarly journals Beliefs and preferences for food-safety policies: a discrete choice model under uncertainty

2018 ◽  
Vol 46 (5) ◽  
pp. 769-799
Author(s):  
Simone Cerroni ◽  
Sandra Notaro ◽  
Roberta Raffaelli
Keyword(s):  
Food Safety ◽  
Discrete Choice ◽  
Utility Theory ◽  
Choice Model ◽  
Scientific Information ◽  
Expected Utility Theory ◽  
Error Component ◽  
Bad News ◽  
New Information ◽  
Using Data

Abstract Outcomes of food policies are highly uncertain. Therefore, the public’s support for these policies depends on individuals’ beliefs and the provision of scientific information. Using data collected from a discrete choice experiment survey, we explore whether new information regarding a food-safety policy influences respondents’ support, while controlling for risk and time preferences. Additionally, we examine if support depends on whether information is perceived as either good or bad news. Results from the estimation of parametric error component logit models, based on expected utility theory and rank dependent utility theory, suggest that good and bad news affects preferences and welfare measures.

scholarly journals Discrete Choice under Risk with Limited Consideration

2021 ◽  
Vol 111 (6) ◽  
pp. 1972-2006
Author(s):  
Levon Barseghyan ◽  
Francesca Molinari ◽  
Matthew Thirkettle
Keyword(s):  
Discrete Choice ◽  
Choice Model ◽  
Unobserved Heterogeneity ◽  
Sufficient Conditions ◽  
Decision Makers ◽  
Consideration Sets ◽  
Property Insurance ◽  
Finite Set ◽  
Using Data ◽  
Standard Risk

This paper is concerned with learning decision-makers’ preferences using data on observed choices from a finite set of risky alternatives. We propose a discrete choice model with unobserved heterogeneity in consideration sets and in standard risk aversion. We obtain sufficient conditions for the model’s semi-nonparametric point identification, including in cases where consideration depends on preferences and on some of the exogenous variables. Our method yields an estimator that is easy to compute and is applicable in markets with large choice sets. We illustrate its properties using a dataset on property insurance purchases. (JEL D81, D83, D91, G22, G52)

Mixed Logit Models for Multiparty Elections

2001 ◽  
Vol 9 (2) ◽  
pp. 116-136 ◽  
Author(s):  
Garrett Glasgow
Keyword(s):  
Discrete Choice ◽  
Voting Behavior ◽  
Choice Model ◽  
Mixed Logit ◽  
Discrete Choice Model ◽  
Random Coefficients ◽  
Flexible Tool ◽  
Mixed Logit Models ◽  
Using Data ◽  
General Specification

Mixed logit (MXL) is a general discrete choice model thus far unexamined in the study of multicandidate and multiparty elections. Mixed logit assumes that the unobserved portions of utility are a mixture of an IID extreme value term and another multivariate distribution selected by the researcher. This general specification allows MXL to avoid imposing the independence of irrelevant alternatives (IIA) property on the choice probabilities. Further, MXL is a flexible tool for examining heterogeneity in voter behavior through random-coefficients specifications. MXL is a more general discrete choice model than multinomial probit (MNP) in several respects, and can be applied to a wider variety of questions about voting behavior than MNP. An empirical example using data from the 1987 British General Election demonstrates the utility of MXL in the study of multicandidate and multiparty elections.

Firms' Strategic Leverage of Unplanned Exposure and Planned Advertising: An Analysis in the Context of Celebrity Endorsements

2018 ◽  
Vol 55 (1) ◽  
pp. 14-34 ◽  
Author(s):  
Timothy P. Derdenger ◽  
Hui Li ◽  
Kannan Srinivasan
Keyword(s):  
Discrete Choice ◽  
Choice Model ◽  
Early Stage ◽  
Media Exposure ◽  
New Product ◽  
Celebrity Endorsements ◽  
Consumer Awareness ◽  
New Product Introductions ◽  
Using Data ◽  
Celebrity Endorsers

Using data on advertising and sales of an innovative piece of golf equipment and the performance of its celebrity endorsers, the authors build a discrete-choice model that incorporates consumer awareness and preferences. They empirically investigate how celebrity endorsements affect consumer choices during new product introductions, the roles of planned advertising and unplanned media exposure, and how firms can strategically leverage the unplanned component. Model estimates reveal that wins in professional golf tournaments (which proxy for unplanned television exposure during weekly golf tournaments) affect awareness and that paid planned advertising impacts awareness and preferences. Focusing on Titleist equipment, counterfactual analysis demonstrates that the unplanned media exposure and planned advertising account for 22% and 24% of sales, respectively. The results also suggest that firms would benefit from coordinating the two. The planned portion should serve as a substitute for unplanned media exposure in the early stage and a complement as products age.

The Impact of Zoning and Built Environment Characteristics on Transit, Biking, and Walking

2019 ◽  
Vol 11 (1) ◽  
pp. 108-129
Author(s):  
Andrew G. Mueller ◽  
Daniel J. Trujillo
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Discrete Choice ◽  
Travel Behavior ◽  
Choice Model ◽  
Mode Choice ◽  
Land Use Regulation ◽  
Policy Action ◽  
Development Goals ◽  
The Impact

This study furthers existing research on the link between the built environment and travel behavior, particularly mode choice (auto, transit, biking, walking). While researchers have studied built environment characteristics and their impact on mode choice, none have attempted to measure the impact of zoning on travel behavior. By testing the impact of land use regulation in the form of zoning restrictions on travel behavior, this study expands the literature by incorporating an additional variable that can be changed through public policy action and may help cities promote sustainable real estate development goals. Using a unique, high-resolution travel survey dataset from Denver, Colorado, we develop a multinomial discrete choice model that addresses unobserved travel preferences by incorporating sociodemographic, built environment, and land use restriction variables. The results suggest that zoning can be tailored by cities to encourage reductions in auto usage, furthering sustainability goals in transportation.

Air Passengers’ Preferences for Aviation Voluntary Carbon Offsetting: A Co-benefits Perspective

2021 ◽  
pp. 004728752110303
Author(s):  
Beile Zhang ◽  
Brent W. Ritchie ◽  
Judith Mair ◽  
Sally Driml
Keyword(s):  
Discrete Choice ◽  
Latent Class ◽  
Choice Model ◽  
Choice Modeling ◽  
Positive Outcomes ◽  
Market Segments ◽  
Discrete Choice Modeling ◽  
Educational Benefits ◽  
Carbon Offsetting ◽  
Simple Reduction

Co-benefits are positive outcomes from voluntary carbon offsetting (VCO) programs beyond simple reduction in carbon emissions, which include biodiversity, air quality, economic, health, and educational benefits. Given the rates of aviation VCOs remain at less than 10%, this study investigated air passengers’ preferences for co-benefits as well as certification, location, and cost of VCO programs. Using discrete choice modeling, this study shows that aviation VCO programs with higher levels of co-benefits, particularly biodiversity and health benefits, are preferred by air passengers and confirms a preference for domestically based and certified VCO programs. The latent class choice model identified three classes with different preferences for VCO program attributes and demographic characteristics. The results of this study contribute to the knowledge of VCO co-benefits and imply that airlines should take note of this preference for biodiversity and health co-benefits when designing VCO programs and differentiate between market segments to increase the uptake of VCOs.

scholarly journals Pre-calibration of a Discrete Choice Model and Evaluation of Cycling Mobility for Île-de-France

2021 ◽  
Vol 184 ◽  
pp. 172-177
Author(s):  
Guoxi Feng ◽  
Maxime Jean ◽  
Alexandre Chasse ◽  
Sebastian Hörl
Keyword(s):  
Discrete Choice ◽  
Choice Model ◽  
Discrete Choice Model
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