|
on Discrete Choice Models |
By: | Welling, Malte; Zawojska, Ewa; Sagebiel, Julian |
JEL: | Q51 |
Date: | 2021 |
URL: | http://d.repec.org/n?u=RePEc:zbw:vfsc21:242384&r= |
By: | Kotu, Bekele Hundie; Oyinbo, Oyakhilomen; Hoeschle-Zeledon, Irmgard; Kizito, Fred; Nurudeen, Abdul Rahman; Boyubie, Benedict |
Keywords: | Farm Management |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:iaae21:315032&r= |
By: | Herrington, Caitlin L.; Maredia, Mywish; Ortega, David L.; Taleon, Victor; Birol, Ekin; Sarkar, Abdur Rouf |
Keywords: | Consumer/Household Economics, Crop Production/Industries |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:iaae21:315079&r= |
By: | Ogunmodede, Adewale M.; Tambo, Justice A.; Gulak, Dominic M; Adeleke, Adetunji T.; Ogunsanwo, Mary O. |
Keywords: | Farm Management |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:iaae21:315074&r= |
By: | Yuta Yasui (School of Economics and Management, Kochi University of Technology) |
Abstract: | Assumptions of competitive structure are often crucial for marginal cost estimation and counterfactual predictions. This paper introduces tests for price competition among multi-product rms. The tests are based on the firm's revealed preference (revealed pro t function). In contrast to other approaches based on estimated demand functions such as conduct parameter estimation, the proposed tests do not require any instrumental variables, even though the models can accommodate structural error terms. In this paper, I employ a demand structure introduced by Nocke and Schutz (2018), the discrete/continuous choice model, which nests the multinomial logit demand and CES demand functions. Any price and quantity data can be rationalized by price competition under a discrete/continuous choice model and increasing marginal costs. Adding more assumptions to the demand function, such as logit, CES, or the co-evolving and log-concave property produces some falsifiable restrictions. |
Keywords: | revealed preference, multi-product, conduct, discrete/continuous |
Date: | 2021–10 |
URL: | http://d.repec.org/n?u=RePEc:kch:wpaper:sdes-2021-14&r= |
By: | Pascale Bazoche; Nicolas Guinet; Sylvaine Poret; Sabrina Teyssier |
Abstract: | A widespread transition towards diets based on plant proteins as substitutes for animal proteins would contribute to food system sustainability. Such changes in consumer food choices can be fostered by public policy. We conducted an online experiment to test whether providing consumers with information regarding the negative consequences of meat consumption on the environment or health increases the substitution of animal-based proteins with plant-based proteins. The consumers had to make three meal selections, the first without exposure to information and the latter two after exposure to environmental or health information. One group of consumers served as the control and received no information. The results show that half of the consumers chose meals with animal proteins in all three cases. The information intervention had a limited impact on the average consumer. However, a latent class analysis shows that the information intervention impacted a sub-sample of the consumers. Information policy does not appear to be sufficient for altering consumer behaviour regarding the consumption of animal proteins. |
Keywords: | Experiment, information, food consumption, alternative proteins, environment,health. |
JEL: | C93 D12 Q01 |
Date: | 2021 |
URL: | http://d.repec.org/n?u=RePEc:rae:wpaper:202107&r= |
By: | John C. Whitehead; Andrew Ropicki; John Loomis; Sherry Larkin; Tim Haab; Sergio Alvarez |
Abstract: | This paper evaluates the importance of contingent valuation method data quality by examining differences in results between probability-based and opt-in internet samples. Our data is from a survey estimating passive use losses associated with the BP/Deepwater Horizon oil spill to Florida residents. Several internal tests of validity are conducted. We find that the willingness to pay estimates from the opt-in sample may be biased upwards and only the probability-based sample data pass the scope test. In general, we conclude that the probability-based sample data is of higher quality. Key Words: contingent valuation, scope test, probability-based sample data; opt-in sample data |
JEL: | Q51 |
Date: | 2021 |
URL: | http://d.repec.org/n?u=RePEc:apl:wpaper:21-13&r= |
By: | Martin F. Hellwig (Max Planck Institute for Research on Collective Goods) |
Abstract: | Anonymous social choice function for a large atomless population maps cross-section distributions of preferences into outcomes. Because any one individual is too insignificant to a¤ect these distributions, every anonymous social choice function is individually strategy-proof. However, not every anonymous social choice function is group strategy-proof. If the set of outcomes is linearly ordered and participants have single-peaked preferences, an anonymous social choice function is group strategy-proof if and only if it can be implemented by a mechanism involving binary votes between neighbouring outcomes with nondecreasing thresholds for "moving higher up". Such a mechanism can be interpreted as a version of Moulin's (1980) generalized median-voter mechanism for a large population. |
Keywords: | Social choice, large populations, strategy proofness, group strategy proofness, single-peaked preferences |
Date: | 2021–10–13 |
URL: | http://d.repec.org/n?u=RePEc:mpg:wpaper:2021_18&r= |
By: | Andres, Maximilian; Bruttel, Lisa; Friedrichsen, Jana |
JEL: | C92 D43 L41 |
Date: | 2021 |
URL: | http://d.repec.org/n?u=RePEc:zbw:vfsc21:242372&r= |
By: | Francesco Aiello (Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF, Università della Calabria); Graziella Bonanno (Departimento di Economia, Università di Salerno); Francesco Foglia (Università Dante Alighieri, Reggio Calabria) |
Abstract: | This note focuses on the impact of coronavirus on Italian tourism. Using a sample of 1056 travellers, we find a positive relationship between the security of destination and the probability to accommodate in hotels and B&B. Furthermore, regional contagion is negatively associated to the willingness to pay for accommodation services. The policy implications are twofold. Firstly, hotels/B&B claim for financial support to ensure social distancing and, thus, security that will attract tourists. Secondly, public finance could sustain the demand of tourist services in hotels and B&B which is lowering because of coronavirus. |
Keywords: | Covid-19, Italian tourism, willingness to pay, pandemic crisis, accommodation type, hotels and B&B |
Date: | 2021–10 |
URL: | http://d.repec.org/n?u=RePEc:clb:wpaper:202105&r= |
By: | Khalil, Reine; Kallas, Zein; Haddarah, Amira; Omar, Fawaz El; Pujolà, Montserrat |
Keywords: | Food Consumption/Nutrition/Food Safety, Health Economics and Policy |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:iaae21:314968&r= |
By: | Harb, Mustapha; Walker, Joan; Malik, Jai; Circella, Giovanni |
Abstract: | Fully autonomous vehicles are expected to have a profound effect on travel behavior. The technology will provide convenience and better mobility for many, allowing owners to perform other tasks while traveling, summon their vehicles from a distance, and send vehicles off to complete tasks without them. These travel behaviors could lead to increases in vehicle miles traveled that will have major implications for traffic congestion and pollution. To estimate the extent to which travel behavior will change, researchers and planners have typically relied on adjustments to existing travel simulations or on surveys asking people how they would change their behavior in a hypothetical autonomous vehicle future. Researchers at UC Berkeley and UC Davis used a new approach to understand the potential influence of autonomous vehicles on travel behavior by conducting the first naturalistic experiment mimicking the effect of autonomous vehicle ownership. Private chauffeurs were provided to 43 households in the Sacramento, California region for one or two weeks. By taking over driving duties for the household, the private chauffeurs served the household as an autonomous vehicle would. Researchers tracked household travel prior to, during, and after the week(s) with access to the chauffeur service. |
Keywords: | Engineering |
Date: | 2021–11–01 |
URL: | http://d.repec.org/n?u=RePEc:cdl:itsdav:qt5rn5g0cn&r= |
By: | Forscher, Teddy; Deakin, Elizabeth PhD; Walker, Joan PhD; Shaheen, Susan PhD |
Abstract: | A significant portion of the population stayed, and continue to stay, at home due to the COVID-19 pandemic. With more people staying home, online shopping increased along with trips related to pickups and deliveries. To gain a better understanding of the change in retail purchases and related travel, UC Berkeley researchers compared pre-pandemic shopping to pandemic-related shifts in consumer purchases in the greater Sacramento area for nine types of essential and non-essential commodities (e.g., groceries, meals, clothing, paper products, cleaning supplies). In May 2020, the research team resampled 327 respondents that participated in the 2018 Sacramento Area Council of Governments (SACOG) household travel survey. The 2018 SACOG survey collected responses over a rolling six-week period from April to May 2018 and asked residents about their motivations for, attitudes toward, and ease of use of online shopping. They were also were asked about the number of e-commerce purchases made, and the number of deliveries and pickups made from those e-commerce purchases for each commodity type. In addition, respondents also reported changes (less or more) in their behavior from a typical week in January or February 2020 (prior to the COVID-19 pandemic) for: 1) tripmaking, e-commerce purchases, and delivery and pick up frequencies; 2) purchase sizes; 3) distances traveled; and 4) modes used for in-person trips. This brief highlights findings from an analysis on changes in frequency of purchases, deliveries and pickups, and order sizes. |
Keywords: | Engineering |
Date: | 2021–10–01 |
URL: | http://d.repec.org/n?u=RePEc:cdl:itsrrp:qt19r0034f&r= |