PanelCount: Random Effects and Sample Selection Models for Panel Counting...

Description Functions References

Description

A high performance package for estimating counting models with random effects and sample selection in panel counting data, namely counting data with repeated observations on individuals over time.

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

CRE: PoissonRE and ProbitRE model with correlated random effects on individuals

CRE_SS: PLN_RE and ProbitRE model with correlated random effects on individual level and correlated error terms on <individual, time> level

References

1. Jing Peng and Christophe Van den Bulte. Participation vs. Effectiveness of Paid Endorsers in Social Advertising Campaigns: A Field Experiment. Working Paper.

2. Jing Peng and Christophe Van den Bulte. How to Better Target and Incent Paid Endorsers in Social Advertising Campaigns: A Field Experiment. In Proceedings of the 2015 International Conference on Information Systems.


PanelCount documentation built on May 2, 2019, 3:21 p.m.