nep-dcm New Economics Papers
on Discrete Choice Models
Issue of 2019‒07‒29
thirteen papers chosen by
Edoardo Marcucci
Università degli studi Roma Tre
  1. Mission of the company, prosocial attitudes and job preferences: a discrete choice experiment By Non, Arjan; Rohde, Ingrid; de Grip, Andries; Dohmen, Thomas
  2. Mission of the company, prosocial attitudes and job preferences: A discrete choice experiment By Non, Arjan; Rohde, Ingrid; de Grip, Andries; Dohmen, Thomas
  3. Farmers’ willingness to adopt chemical-free inputs and engage in collaborative arrangements: A discrete choice experiment in Mexico By Colin Castillo, Sergio; Martinez-Cruz, Adan L.; Manríquez García, Naim; Vázquez-Pérez, Joel T.
  4. Dynamic Rationally Inattentive Discrete Choice: A Posterior-Based Approach By Jianjun Miao; Hao Xing
  5. Discrete Choice and Welfare Analysis with Unobserved Choice Sets By Victor H. Aguiar; Nail Kashaev
  6. Information influence on consumers’ choice for genetically modified foods: a non-hypothetical choice experiment in China By Wang, Holly; Yang, Jing; Zheng, Qiujie; Jiang, Yu
  7. Farmers Willingness to Pay for Smallholder Water Lifting Technologies: Evidence from Ethiopia By Tesfaye, Meneyahel Z.; Bizimana, Jean Claude; Daba, Teferi; Balana, Bedru; Gebregziabher, Gebrehaweria
  8. Consumer Preferences for Environmental Attributes in Disposable Dinnerware By Gill, Mackenzie; Jensen, Kimberly L.; Upendram, Sreedhar; English, Burton C.; Labbe, Niki; Lambert, Dayton M.; Jackson, Sam
  9. Benefits of Regulation vs. Competition Where Inequality Is High: The Case of Mobile Telephony in South Africa By Ryan Hawthorne; Lukasz Grzybowski
  10. Hospital choice in a government funded health insurance scheme: Evidence from Andhra Pradesh By Tripathi, Shruti
  11. Comparing Willingness to Supply and Willingness to Pay for Cattle Traceability: A Novel Assessment of Both Supply and Demand Factors Driving Provision of Production Practice Information in Modern Food Systems By Tonsor, Glynn T.; Mitchell, James L.; Schulz, Lee
  12. Does Virtual Reality Reduce Hypothetical Bias? Evidence from Choice Experiments Using Nutrition Labels By Fang, Di; Nayga, Rodolfo M.; West, Grant H.; Bazzani, Claudia
  13. Information processing constraints in travel behaviour modelling: A generative learning approach By Melvin Wong; Bilal Farooq
  1. By: Non, Arjan (General Economics 2 (Macro)); Rohde, Ingrid (iza university of bonn); de Grip, Andries (Research Centre for Educ and Labour Mark); Dohmen, Thomas (General Economics 2 (Macro))
    Abstract: We conduct a discrete choice experiment to investigate how the mission of high-tech companies affects job attractiveness and induces self-selection of science and engineering graduates with respect to their prosocial attitudes. We characterize mission by whether or not the company combines its profit motive with a mission on innovation or corporate social responsibility (CSR). Furthermore, we vary job design (e.g. autonomy) and contractible job attributes (e.g. job security). We find that companies with a mission on innovation or CSR are considered more attractive. Women and individuals who are more altruistic and less competitive feel particularly attracted to such companies.
    Keywords: mission of the company, sorting, discrete choice experiment, job characteristics, social preferences
    JEL: J81 J82 M52
    Date: 2019–07–11
    URL: http://d.repec.org/n?u=RePEc:unm:umagsb:2019020&r=all
  2. By: Non, Arjan (General Economics 2 (Macro)); Rohde, Ingrid (iza university of bonn); de Grip, Andries (Research Centre for Educ and Labour Mark); Dohmen, Thomas (General Economics 2 (Macro))
    Abstract: We conduct a discrete choice experiment to investigate how the mission of high-tech companies affects job attractiveness and induces self-selection of science and engineering graduates with respect to their prosocial attitudes. We characterize mission by whether or not the company combines its profit motive with a mission on innovation or corporate social responsibility (CSR). Furthermore, we vary job design (e.g. autonomy) and contractible job attributes (e.g. job security). We find that companies with a mission on innovation or CSR are considered more attractive. Women and individuals who are more altruistic and less competitive feel particularly attracted to such companies.
    Keywords: mission of the company, sorting, discrete choice experiment, job characteristics, social preferences
    JEL: J81 J82 M52
    Date: 2019
    URL: http://d.repec.org/n?u=RePEc:unm:umaror:2019006&r=all
  3. By: Colin Castillo, Sergio; Martinez-Cruz, Adan L.; Manríquez García, Naim; Vázquez-Pérez, Joel T.
    Keywords: Institutional and Behavioral Economics
    Date: 2019–06–25
    URL: http://d.repec.org/n?u=RePEc:ags:aaea19:290765&r=all
  4. By: Jianjun Miao (Boston University); Hao Xing (Boston University)
    Abstract: We adopt the posterior-based approach to study dynamic discrete choice problems with rational inattention. We show that the optimal solution for the Shannon entropy case is characterized by a system of equations that resembles the dynamic logit rule. We propose an efficient algorithm to solve this system and apply our model to explain phenomena such as status quo bias, confirmation bias, and belief polarization. We also study the dynamics of consideration sets. Unlike the choice-based approach, our approach applies to general uniformly posteriorseparable information cost functions. A key condition for our approach to work in dynamic models is the convexity of the difference between the discounted generalized entropy of the prior beliefs about the future states and the generalized entropy of the current posterior.
    Keywords: Rational Inattention, Endogenous Information Acquisition, Entropy, Dynamic Discrete Choice, Dynamic Programming
    JEL: D11 D81 D83
    Date: 2019–06
    URL: http://d.repec.org/n?u=RePEc:bos:wpaper:wp2019-005&r=all
  5. By: Victor H. Aguiar; Nail Kashaev
    Abstract: We propose a framework for doing sharp nonparametric welfare analysis in discrete choice models with unobserved variation in choice sets. We recover jointly the distribution of choice sets and the distribution of preferences. To achieve this we use panel data on choices and assume nestedness of the latent choice sets. Nestedness means that choice sets of different decision makers are ordered by inclusion. It may be satisfied, for instance, when it is the result of either a search process or unobserved feasibility. Using variation of the uncovered choice sets we show how to do ordinal (nonparametric) welfare comparisons. When one is willing to make additional assumptions about preferences, we show how to nonparametrically identify the ranking over average utilities in the standard multinomial choice setting.
    Date: 2019–07
    URL: http://d.repec.org/n?u=RePEc:arx:papers:1907.04853&r=all
  6. By: Wang, Holly; Yang, Jing; Zheng, Qiujie; Jiang, Yu
    Keywords: Food Consumption/Nutrition/Food Safety
    Date: 2019–06–25
    URL: http://d.repec.org/n?u=RePEc:ags:aaea19:290935&r=all
  7. By: Tesfaye, Meneyahel Z.; Bizimana, Jean Claude; Daba, Teferi; Balana, Bedru; Gebregziabher, Gebrehaweria
    Keywords: Agricultural Finance
    Date: 2019–06–25
    URL: http://d.repec.org/n?u=RePEc:ags:aaea19:290730&r=all
  8. By: Gill, Mackenzie; Jensen, Kimberly L.; Upendram, Sreedhar; English, Burton C.; Labbe, Niki; Lambert, Dayton M.; Jackson, Sam
    Keywords: Marketing
    Date: 2019–06–25
    URL: http://d.repec.org/n?u=RePEc:ags:aaea19:290845&r=all
  9. By: Ryan Hawthorne; Lukasz Grzybowski
    Abstract: We test for the distributional effects of regulation and entry in the mobile telecommunications sector in a highly unequal country, South Africa. Using six waves of a consumer survey of over 134,000 individuals between 2009-2014, we estimate a discrete-choice model allowing for individual-specific price-responsiveness and preferences for network operators. Next, we use a demand and supply equilibrium framework to simulate prices and the distribution of welfare without entry and mobile termination rate regulation. We find that regulation benefits consumers significantly more than entry does, and that high-income consumers and city-dwellers benefit more in terms of increased consumer surplus.
    Keywords: mobile telecommunications, competition, entry, discrete choice, inequality
    JEL: L13 L40 L50 L96
    Date: 2019
    URL: http://d.repec.org/n?u=RePEc:ces:ceswps:_7703&r=all
  10. By: Tripathi, Shruti
    Abstract: This study examines the factors that influence patient's choice of a hospital when health-care is financed by government funded health insurance scheme. The model is estimated using a multinomial logit applied to about 0.3 million cases of inpatient treatment from one of the state health insurance scheme in India in 2015. This is the first attempt to identify and quantify the impact of individual and hospital specific factors on patient choice for tertiary care under an insurance scheme in India. The results show that in absence of price constraint patients prefer to choose providers believed to be of higher quality in our case private and big public hospitals, bypassing the smaller public hospitals.
    Keywords: health insurance, patient's choice, public and private, health care financing, government policy
    JEL: I13 I18
    Date: 2018–05–31
    URL: http://d.repec.org/n?u=RePEc:pra:mprapa:87159&r=all
  11. By: Tonsor, Glynn T.; Mitchell, James L.; Schulz, Lee
    Keywords: Production Economics
    Date: 2019–06–25
    URL: http://d.repec.org/n?u=RePEc:ags:aaea19:291158&r=all
  12. By: Fang, Di; Nayga, Rodolfo M.; West, Grant H.; Bazzani, Claudia
    Keywords: Research and Development/Tech Change/Emerging Technologies
    Date: 2019–06–25
    URL: http://d.repec.org/n?u=RePEc:ags:aaea19:290832&r=all
  13. By: Melvin Wong; Bilal Farooq
    Abstract: Travel decisions tend to exhibit sensitivity to uncertainty and information processing constraints. These behavioural conditions can be characterized by a generative learning process. We propose a data-driven generative model version of rational inattention theory to emulate these behavioural representations. We outline the methodology of the generative model and the associated learning process as well as provide an intuitive explanation of how this process captures the value of prior information in the choice utility specification. We demonstrate the effects of information heterogeneity on a travel choice, analyze the econometric interpretation, and explore the properties of our generative model. Our findings indicate a strong correlation with rational inattention behaviour theory, which suggest that individuals may ignore certain exogenous variables and rely on prior information for evaluating decisions under uncertainty. Finally, the principles demonstrated in this study can be formulated as a generalized entropy and utility based multinomial logit model.
    Date: 2019–07
    URL: http://d.repec.org/n?u=RePEc:arx:papers:1907.07036&r=all
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