Printed from https://ideas.repec.org/n/nep-dcm/2022-03-07.html
Report NEP-DCM-2022-03-07
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:
- James Holehouse & Jos'e Moran, 2022, "Exact time-dependent dynamics of discrete binary choice models," Papers, arXiv.org, number 2201.09573, Jan, revised Feb 2022.
- Bo E. Honoré & Martin Weidner, 2021, "Moment Conditions for Dynamic Panel Logit Models with Fixed Effects," Working Papers, Princeton University. Economics Department., number 2021-79, Dec.
- Emerson Melo, 2021, "Learning In Random Utility Models Via Online Decision Problems," CAEPR Working Papers, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington, number 2022-003 Classification-D, Aug.
- Eren Çam & Niklas Hinkel & Max Schönfisch, 2022, "A Stochastic Discrete Choice Dynamic Programming Model of Power Plant Operations and Retirement," EWI Working Papers, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI), number 2022-1, Feb.
- Anna Birgitte Milford & Nina Trandem & Armando José Garcia Pires, 2021, "Fear of pesticide residues and preference for domestically produced strawberries," Post-Print, HAL, number hal-03527986, DOI: 10.1007/s41130-020-00134-8.
- Olivier Jacques, 2021, "Classes and Taxes: Socio-Economic Status, Ideology and (Un)Willingness to Pay," CIRANO Working Papers, CIRANO, number 2021s-37, Sep.
- Ayden Higgins & Koen Jochmans, 2022, "Bootstrap inference for fixed-effect models," Papers, arXiv.org, number 2201.11156, Jan.
- Stephan Martin, 2022, "Estimation of Conditional Random Coefficient Models using Machine Learning Techniques," Papers, arXiv.org, number 2201.08366, Jan.
- Nisvan Erkal & Lijun Pan, 2022, "Horizontal Merger Analysis with Endogenous Product Range Choice," ISER Discussion Paper, Institute of Social and Economic Research, The University of Osaka, number 1162, Feb.
- Morteza Taiebat & Elham Amini & Ming Xu, 2022, "Sharing Behavior in Ride-hailing Trips: A Machine Learning Inference Approach," Papers, arXiv.org, number 2201.12696, Jan.