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Report NEP-DCM-2021-04-19
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:
- Benoit Chèze & Maia M. David & Vincent Martinet, 2019, "Understanding Farmers' Reluctance to Reduce Pesticides use : a Choice Experiment
[Comprendre la réticence des agriculteurs à réduire l'utilisation des pesticides : une expérience de choix]," Working Papers, HAL, number hal-03192158, Jun. - Tommaso M. Valletti & André Veiga, 2021, "Attention, Recall and Purchase: Experimental Evidence on Online News and Advertising," CESifo Working Paper Series, CESifo, number 8991.
- Francesco Cerigioni & Simone Galperti, 2021, "Listing specs: The effect of framing attributes on choice," Economics Working Papers, Department of Economics and Business, Universitat Pompeu Fabra, number 1775, Apr.
- Simone Galperti & Francesco Cerigioni, 2021, "Listing Specs: The Effect of Framing Attributes on Choice," Working Papers, Barcelona School of Economics, number 1247, Apr.
- Louise Laage, 2021, "A Correlated Random Coefficient Panel Model with Time-Varying Endogeneity," Working Papers, Georgetown University, Department of Economics, number gueconwpa~21-21-10, Mar.
- Markus Dertwinkel-Kalt & Holger Gerhardt & Gerhard Riener & Frederik Schwerter & Louis Strang, 2021, "Concentration Bias in Intertemporal Choice," ECONtribute Discussion Papers Series, University of Bonn and University of Cologne, Germany, number 076, Apr.
- Charles-Cadogan, G., 2021, "Incoherent Preferences," CRETA Online Discussion Paper Series, Centre for Research in Economic Theory and its Applications CRETA, number 69.
- Christopher Dobronyi & Jiaying Gu & Kyoo il Kim & Thomas M. Russell, 2021, "Identification of Dynamic Panel Logit Models with Fixed Effects," Papers, arXiv.org, number 2104.04590, Apr, revised Dec 2024.
- Przemys{l}aw Biecek & Marcin Chlebus & Janusz Gajda & Alicja Gosiewska & Anna Kozak & Dominik Ogonowski & Jakub Sztachelski & Piotr Wojewnik, 2021, "Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models," Papers, arXiv.org, number 2104.06735, Apr.
- Raisa Sherif, 2021, "Are pro-environment behaviours substitutes or complements? Evidence from the field," Working Papers, Max Planck Institute for Tax Law and Public Finance, number tax-mpg-rps-2021-03, Mar.