| PanelCount {PanelCount} | R Documentation |
Panel Count Models with Random Effects and/or Sample Selection
Description
A high performance package for estimating panel count models with random effects and/or sample selection.
Functions
ProbitRE: Probit model with random effects on individuals
PoissonRE: Poisson model with random effects on individuals
PLN_RE: Poisson Lognormal model with random effects on individuals
ProbitRE_PoissonRE: PoissonRE and ProbitRE model with correlated random effects on individuals
ProbitRE_PLNRE: PLN_RE and ProbitRE model with correlated random effects on individual level and correlated error terms on individual-time level
References
1. Peng, J., & Van den Bulte, C. (2023). Participation vs. Effectiveness in Sponsored Tweet Campaigns: A Quality-Quantity Conundrum. Management Science (forthcoming). Available at SSRN: <https://www.ssrn.com/abstract=2702053>
2. Peng, J., & Van den Bulte, C. (2015). How to Better Target and Incent Paid Endorsers in Social Advertising Campaigns: A Field Experiment. 2015 International Conference on Information Systems. <https://aisel.aisnet.org/icis2015/proceedings/SocialMedia/24/>