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on Discrete Choice Models |
| By: | Mitra, Archisman; Bouwer, Roy; Balasubramanya, Soumya; Taron, Avinandan |
| Keywords: | Agricultural and Food Policy, Environmental Economics and Policy, Research Methods/Statistical Methods |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322159&r= |
| By: | Nian, Yefan; Cruz, Julio C.; Asselt, Joanna Van; Gao, Zhifeng; Morgan, Stephen N. |
| Keywords: | Marketing, Food Consumption/Nutrition/Food Safety, Consumer/Household Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322495&r= |
| By: | Khan, Muhammad Jawad; Atallah, Shadi S.; Kalaitzandonakes, Maria H.; Ellison, Brenna |
| Keywords: | Research Methods/Statistical Methods, Environmental Economics and Policy, Marketing |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322464&r= |
| By: | Shi, Longzhong; Chen, Xuan; Qiu, Jingran; Li, Li |
| Keywords: | Food Consumption/Nutrition/Food Safety, Marketing, Institutional and Behavioral Economics |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322209&r= |
| By: | Thiermann, Insa; Schroeer, Daniel; Latacz-Lohmann, Uwe |
| Abstract: | Recent statutory changes have increased the pressure on the German livestock sector to adapt. This paper aimed to ascertain whether German pig farmers would be willing to join a pig farming exit scheme similar to the Dutch ‘warm restructuring’ programme. The analysis was based on a discrete choice experiment with 346 pig farmers. The results indicated great interest of the respondents in a government-run decommissioning scheme. Differences in the perception of scheme attributes (compensation offered, demolition requirements, restrictions on future barn construction and slurry intake) and uncertainty among participants were highlighted by the results of a scale-adjusted latent-class estimation. |
| Keywords: | Livestock Production/Industries, Agricultural and Food Policy |
| Date: | 2022–04 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aesc22:321201&r= |
| By: | Hilsenroth, Jana; Grogan, Kelly A.; Savchenko, Olesya; Botta, Robert; Koeneke, Roberto F.; Court, Christa D. |
| Keywords: | Environmental Economics and Policy, Resource/Energy Economics and Policy, Teaching, Communication, and Extension |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322282&r= |
| By: | Uddin, Md Azhar; Gao, Zhifeng; Farnsworth, Derek; Borisova, Tatiana; Bolques, Alejandro |
| Keywords: | Research Methods/Statistical Methods, Environmental Economics and Policy, Marketing |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322431&r= |
| By: | Nguyen, Ly; Gao, Zhifeng; Anderson, James L.; House, Lisa A. |
| Keywords: | Institutional and Behavioral Economics, Research Methods/Statistical Methods, Marketing |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322463&r= |
| By: | Staples, Aaron J.; Caputo, Vincenzina; Ellison, Brenna; Malone, Trey |
| Keywords: | Health Economics and Policy, Institutional and Behavioral Economics, Food Consumption/Nutrition/Food Safety |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322507&r= |
| By: | Mavroutsikos, Charalampos; Schoengold, Karina; Banerjee, Simanti; Yiannaka, Amalia; Giannakas, Konstantinos; Awada, Tala |
| Keywords: | Environmental Economics and Policy, Research Methods/Statistical Methods, Resource/Energy Economics and Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322559&r= |
| By: | Burgstaller, Lilith; Feld, Lars P.; Pfeil, Katharina |
| Abstract: | Little is known about the size and determinants of undeclared work. While approaches to measure the shadow economy have been extensively discussed, conventional surveys dominate research on undeclared work. We review and extend this literature by first referring to the most recent survey data on undeclared work in Germany and, second, by discussing four experimental survey techniques as well as their few applications to questions of undeclared work. We argue that the randomized response technique and list experiments would validate and improve prevalence estimates of undeclared work, whereas careful design of information provision experiments and discrete choice experiments would fill the gap on determinants that causally affect decisions to supply and demand undeclared work. |
| Keywords: | Undeclared Work,Experimental Survey,Survey Data |
| JEL: | H26 E26 O17 D91 |
| Date: | 2022 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:aluord:2207&r= |
| By: | Duan, Dinglin; Gao, Zhifeng; Uddin, Md Azhar; Nian, Yefan; Nguyen, Ly |
| Keywords: | Marketing, Agribusiness, Resource/Energy Economics and Policy |
| Date: | 2022–08 |
| URL: | http://d.repec.org/n?u=RePEc:ags:aaea22:322419&r= |
| By: | Marek Kapera |
| Abstract: | This paper provides theoretical foundations for preference discovery theory. We propose to relax the assumption that the consumer has perfect knowledge of their own preferences, so that the consumer knows only the subjective probability of those alternatives being in any given relation, which is conditional on the information available to the consumer. To achieve that, we construct probabilistic measures on the space of all permissible preference relations and consider the consumer to be equipped with one such measure, instead of a preference relation. These measures are intrinsically linked by construction to the information structure available to the consumer and allow for indirect learning. We visualize how these measures correspond to the choices of the consumer, we consider three distinct decision procedures. These procedures formalize how under different assumptions regarding the underlying probability measure, the consumer guesses their own tastes. Finally, we use these measures to define the value of the information provided by the consumption of a chosen alternative and study the properties of the preference ranking induced by it. |
| Keywords: | Taste uncertainty, Preference discovery, Learning through consumption, Conditional preferences, Experimental preferences |
| JEL: | D11 D83 D91 |
| Date: | 2022–04 |
| URL: | http://d.repec.org/n?u=RePEc:sgh:kaewps:2022074&r= |
| By: | Victor Ginsburgh (ECARES, Université Libre de Bruxelles, Belgium and CORE, Université catholique de Louvain, Belgium); Juan D. Moreno-Ternero (Department of Economics, Universidad Pablo de Olavide;) |
| Abstract: | We analyze and evaluate the rules and results at the 2021 Eurovision Song Contest. We first concentrate on the various voting procedures, and explore several alternatives (inspired by classical contributions in social choice and game theory) that could make a difference for the results. We also discuss other important issues, such as simplicity, contrast effects and whether experts are better judges than tele-voters. Our findings raise the question of whether the voting procedures used by the Eurovision Song Contest authorities are fail-safe. We endorse instead the use of the so-called Shapley voting procedure for judges as well as tele-voters. |
| Keywords: | Eurovision Song Contest, Voting, Borda, Shapley Method, Biases |
| JEL: | I10 I14 |
| Date: | 2022 |
| URL: | http://d.repec.org/n?u=RePEc:pab:wpaper:22.09&r= |
| By: | Tom Boot; Gianmaria Niccodemi; Tom Wansbeek |
| Abstract: | When data are clustered, common practice has become to do OLS and use an estimator of the covariance matrix of the OLS estimator that comes close to unbiasedness. In this paper we derive an estimator that is unbiased when the random-effects model holds. We do the same for two more general structures. We study the usefulness of these estimators against others by simulation, the size of the $t$-test being the criterion. Our findings suggest that the choice of estimator hardly matters when the regressor has the same distribution over the clusters. But when the regressor is a cluster-specific treatment variable, the choice does matter and the unbiased estimator we propose for the random-effects model shows excellent performance, even when the clusters are highly unbalanced. |
| Date: | 2022–06 |
| URL: | http://d.repec.org/n?u=RePEc:arx:papers:2206.09644&r= |