nep-dcm New Economics Papers
on Discrete Choice Models
Issue of 2022‒08‒22
sixteen papers chosen by
Edoardo Marcucci
Università degli studi Roma Tre
  1. Consumer Preferences for Fresh Produce Regarding Pesticide Management Practices Using a Discrete Choice Experiment By Tran, Lan T.; McCann, Laura M.; Su, Ye
  2. Learning and fatigue effects in real discrete choice experiments By Jiang, Qi; Penn, Jerrod; Hu, Wuyang
  3. Scope Effects in Willingness to Pay for Rationed Goods By Lancaster, Nicholas; Reeling, Carson; Melstrom, Richard; Lee, John G
  4. Estimating Willingness-to-Pay for Neonicotinoid-Free Plants: Incorporating Pro-Environmental Behavior in Hypothetical and Non-Hypothetical Experiments By Wei, Xuan; Khachatryan, Hayk; Rihn, Alicia
  5. Assessing Hypothetical Bias in Nudging: Willingness to Pay for Consultation towards Improved Forest Management By Bastola, Sapana; Penn, Jerrod; Blazier, Michael
  6. A sufficient and necessary condition for identification of binary choice models with fixed effects By Yinchu Zhu
  7. Willingness to Pay for Fuels Treatments for Forest Fire Risk Reduction at Lake Tahoe By Rollins, Kimberly S.; Zahid, Muhammad Umer; Taylor, Michael H.
  8. How Does Incomplete Consideration of Consumer Products Affect Valuation Estimates? Using Choice Process Variables to Document Considered Products By Gitungwa, Henriette; Gustafson, Christopher R.
  9. Does Quality Signaling Play a Role in Willingness to Pay for Quality Legume Seeds? Evidence from Myanmar By Win, Myat Thida; Maredia, Mywish K.; Ortega, David L.
  10. Smallholder Farmers’ Willingness to Pay for Quality Legume Seeds: Implications for the Commercial Viability of Local Farm Seed Enterprises in Myanmar By Win, Myat Thida; Maredia, Mywish K.; Boughton, Duncan H.
  11. Combining Stated and Revealed Preferences for valuing Organic Chicken Meat By Gschwandtner, Adelina; Ribeiro, Jose Eduardo; Revoredo-Giha, Cesar; Burton, Michael
  12. Working in the Shadow: Survey Techniques for Measuring and Explaining Undeclared Work By Lilith Burgstaller; Lars P. Feld; Katharina Pfeil
  13. Consumer Preferences for Plant-Based Meat Alternatives in China?The Role of Information By Wang, Hongsha; Chen, Qihui; Zhu, Chen
  14. The dynamics of the prices of the companies of the STOXX Europe 600 Index through the logit model and neural network By Federico Mecchia; Marcellino Gaudenzi
  15. Would you Downsize to Save Yourself and the Planet? The Impact of Information Framing on the Choice of Food Portion Size By Hosni, Hanin; Gustafson, Christopher R.; Banerjee, Simanti
  16. Reviewing the costs, benefits, and resilience impacts of mixed farming and agroforestry systems on value chains By Low, Guy; Dalhaus, Tobias; Meuwissen, Miranda P.M.
  1. By: Tran, Lan T.; McCann, Laura M.; Su, Ye
    Keywords: Institutional and Behavioral Economics, Research Methods/Statistical Methods, Marketing
    Date: 2022–08
    URL: http://d.repec.org/n?u=RePEc:ags:aaea22:322139&r=
  2. By: Jiang, Qi; Penn, Jerrod; Hu, Wuyang
    Keywords: Environmental Economics and Policy, Research Methods/Statistical Methods, Institutional and Behavioral Economics
    Date: 2022–08
    URL: http://d.repec.org/n?u=RePEc:ags:aaea22:322516&r=
  3. By: Lancaster, Nicholas; Reeling, Carson; Melstrom, Richard; Lee, John G
    Keywords: Resource/Energy Economics and Policy, Environmental Economics and Policy, Research Methods/Statistical Methods
    Date: 2022–08
    URL: http://d.repec.org/n?u=RePEc:ags:aaea22:322307&r=
  4. By: Wei, Xuan; Khachatryan, Hayk; Rihn, Alicia
    Keywords: Research Methods/Statistical Methods, Environmental Economics and Policy
    Date: 2022–08
    URL: http://d.repec.org/n?u=RePEc:ags:aaea22:322068&r=
  5. By: Bastola, Sapana; Penn, Jerrod; Blazier, Michael
    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:aaea22:322477&r=
  6. By: Yinchu Zhu
    Abstract: We study the identification of binary choice models with fixed effects. We provide a condition called sign saturation and show that this condition is sufficient for the identification of the model. In particular, we can guarantee identification even with bounded regressors. We also show that without this condition, the model is never identified even if the errors are known to have the logistic distribution. A test is provided to check the sign saturation condition and can be implemented using existing algorithms for the maximum score estimator.
    Date: 2022–06
    URL: http://d.repec.org/n?u=RePEc:arx:papers:2206.10475&r=
  7. By: Rollins, Kimberly S.; Zahid, Muhammad Umer; Taylor, Michael H.
    Keywords: International Development, Environmental Economics and Policy, Resource/Energy Economics and Policy
    Date: 2022–08
    URL: http://d.repec.org/n?u=RePEc:ags:aaea22:322382&r=
  8. By: Gitungwa, Henriette; Gustafson, Christopher R.
    Keywords: Agribusiness, Institutional and Behavioral Economics, Research Methods/Statistical Methods
    Date: 2022–08
    URL: http://d.repec.org/n?u=RePEc:ags:aaea22:322439&r=
  9. By: Win, Myat Thida; Maredia, Mywish K.; Ortega, David L.
    Keywords: International Development, Research Methods/Statistical Methods, Marketing
    Date: 2022–08
    URL: http://d.repec.org/n?u=RePEc:ags:aaea22:322547&r=
  10. By: Win, Myat Thida; Maredia, Mywish K.; Boughton, Duncan H.
    Keywords: International Development, Research Methods/Statistical Methods, Marketing
    Date: 2022–08
    URL: http://d.repec.org/n?u=RePEc:ags:aaea22:322346&r=
  11. By: Gschwandtner, Adelina; Ribeiro, Jose Eduardo; Revoredo-Giha, Cesar; Burton, Michael
    Keywords: Environmental Economics and Policy, Marketing, Agricultural and Food Policy
    Date: 2022–08
    URL: http://d.repec.org/n?u=RePEc:ags:aaea22:322064&r=
  12. By: Lilith Burgstaller; Lars P. Feld; Katharina Pfeil
    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:ces:ceswps:_9810&r=
  13. By: Wang, Hongsha; Chen, Qihui; Zhu, Chen
    Keywords: Institutional and Behavioral Economics, Research Methods/Statistical Methods, Food Consumption/Nutrition/Food Safety
    Date: 2022–08
    URL: http://d.repec.org/n?u=RePEc:ags:aaea22:322112&r=
  14. By: Federico Mecchia; Marcellino Gaudenzi
    Abstract: The aim of the present work is analysing and understanding the dynamics of the prices of companies, depending on whether they are included or excluded from the STOXX Europe 600 Index. For this reason, data regarding the companies of the Index in question was collected and analysed also through the use of logit models and neural networks in order to find the independent variables that affect the changes in prices and thus determine the dynamics over time.
    Date: 2022–06
    URL: http://d.repec.org/n?u=RePEc:arx:papers:2206.09899&r=
  15. By: Hosni, Hanin; Gustafson, Christopher R.; Banerjee, Simanti
    Keywords: Research Methods/Statistical Methods, Institutional and Behavioral Economics, Environmental Economics and Policy
    Date: 2022–08
    URL: http://d.repec.org/n?u=RePEc:ags:aaea22:322386&r=
  16. By: Low, Guy; Dalhaus, Tobias; Meuwissen, Miranda P.M.
    Keywords: Agribusiness, Marketing, Environmental Economics and Policy
    Date: 2022–08
    URL: http://d.repec.org/n?u=RePEc:ags:aaea22:322300&r=
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