Report NEP-DCM-2020-05-11

This is the archive for NEP-DCM, a report on new working papers in the area of Discrete Choice Models. Edoardo Marcucci issued this report. It is usually issued weekly.

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Other reports in NEP-DCM

The following items were announced in this report:

• Masayuki Sawada & Kohei Kawaguchi, 2020. "Estimating High-Dimensional Discrete Choice Model of Differentiated Products with Random Coefficients," Papers 2004.08791, arXiv.org.
• Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci, 2020. "Multinomial logit processes and preference discovery: outside and inside the black box," Working Papers 663, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
• Jesper R.-V. Soerensen & Mogens Fosgerau, 2020. "How McFadden met Rockafellar and learnt to do more with less," Discussion Papers 20-01, University of Copenhagen. Department of Economics.
• Sonia Oreffice & Climent Quintana-Domeque, 2020. "COVID-19 Information and Demand for Protective Gear in the UK," Working Papers 2020-027, Human Capital and Economic Opportunity Working Group.
• Wong, Stephen D PhD & Broader, Jacquelyn C & Walker, Joan L PhD & Shaheen, Susan A PhD, 2022. "Understanding California wildfire evacuee behavior and joint choice making," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4fm7d34j, Institute of Transportation Studies, UC Berkeley.
• Baskozos, Giorgos & Galanis, Giorgos & Di Guilmi, Corrado, 2020. "Social distancing and contagion in a discrete choice model of COVID-19," CRETA Online Discussion Paper Series 57, Centre for Research in Economic Theory and its Applications CRETA.
• Carlo Baldassi & Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci & Marco Pirazzini, 2020. "Multialternative Neural Decision Processes," Papers 2005.01081, arXiv.org, revised May 2021.
• Orhan Aygun & Bertan Turhan, 2020. "Dynamic Reserves in Matching Markets," Papers 2005.01103, arXiv.org.
• Gael M. Martin & David T. Frazier & Christian P. Robert, 2020. "Computing Bayes: Bayesian Computation from 1763 to the 21st Century," Monash Econometrics and Business Statistics Working Papers 14/20, Monash University, Department of Econometrics and Business Statistics.