Printed from https://ideas.repec.org/n/nep-dcm/2024-12-23.html
Report NEP-DCM-2024-12-23
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:
- Cai, Liang & Browning, Christopher & Anselin, Luc, 2024, "The Social Context of Spatial Choice: Activity Locations and Residential Segregation," OSF Preprints, Center for Open Science, number xh7aj, Nov, DOI: 10.31219/osf.io/xh7aj.
- Fang Ying, 2024, "A quasisynthetic control method for nonlinear models with high-dimensional covariates," Chinese Stata Conference 2024, Stata Users Group, number 01, Oct.
- Zhou Xianbo, 2024, "Estimating interaction effects in probit models with endogenous regressors: eivprobit," Chinese Stata Conference 2024, Stata Users Group, number 07, Oct.
- Teona Tavdishvili & Ekaterine Maglakelidze, 0000, "Generation Y and Z Preferences Regarding Influencer Marketing," Proceedings of Economics and Finance Conferences, International Institute of Social and Economic Sciences, number 14716442.
- Pina-Sánchez, Jose & Hamilton, Melissa & Tennant, Peter WG, 2024, "Modelling Unwarranted Disparities in Sentencing: Distinguishing between Good and Bad Controls," SocArXiv, Center for Open Science, number ymzsv, Nov, DOI: 10.31219/osf.io/ymzsv.
- Gabriel Rodriguez-Rondon & Jean-Marie Dufour, 2024, "MSTest: An R-Package for Testing Markov Switching Models," Papers, arXiv.org, number 2411.08188, Nov.
- Di Liu, 2024, "Treatment-effects estimation using lasso," Chinese Stata Conference 2024, Stata Users Group, number 09, Oct.
- Li Zhanfeng, 2024, "Causal mediation analysis with multiple mediators and censored outcomes by GAN approach," Chinese Stata Conference 2024, Stata Users Group, number 08, Oct.
- Bram De Rock & Florine Le Henaff, 2023, "Walk the talk: Measuring green preferences with social media data," IFS Working Papers, Institute for Fiscal Studies, number W23/34, Nov.