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Report NEP-DCM-2020-01-06
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.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-DCM
The following items were announced in this report:
- Valentino Dardanone & Carla Guerriero, 2019. "Children's Willingness to Pay for Environmental Protection," CSEF Working Papers 550, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
- Eleni Aristodemou & Adam Rosen, 2019. "A discrete choice model for partially ordered alternatives," CeMMAP working papers CWP62/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Joel L. Horowitz & Lars Nesheim, 2019. "Using penalized likelihood to select parameters in a random coefficients multinomial logit model," CeMMAP working papers CWP50/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Brynjolfsson, Erik & Collis, Avinash & Eggers, Felix, 2019. "Using Massive Online Choice Experiments to Measure Changes in Well-being," OSF Preprints akqhn, Center for Open Science.
- Abi Adams & Alison Andrew, 2019. "Preferences and beliefs in the marriage market for young brides," IFS Working Papers W19/05, Institute for Fiscal Studies.
- Adam Zylbersztejn & Zakaria Babutsidze & Nobuyuki Hanaki, 2019. "Preferences for observable information in a strategic setting: An experiment," Working Papers 1936, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
- Aurélien Baillon & Aleli Kraft & Owen O'Donnell & Kim van Wilgenburg, 2019. "A behavioral decomposition of willingness to pay for health insurance," Tinbergen Institute Discussion Papers 19-077/I, Tinbergen Institute.
- Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2019. "A Unified Framework for Efficient Estimation of General Treatment Models," CeMMAP working papers CWP64/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.