TY - JOUR
AU - Carson, R. T.
AB - This paper examines a class of maximum‐likelihood regression estimators for count data from truncated samples. Estimators for the truncated Poisson and negative binomial distributions are illustrated. Simulation results are given to illustrate the magnitude of the bias that may result from the failure to account for overdispersion in truncated samples. An empirical application based upon the number of recreational fishing trips taken by a sample of Alaskan fishermen is provided.
TI - Models for truncated counts
JF - Journal of Applied Econometrics
DO - 10.1002/jae.3950060302
DA - 1991-07-01
UR - https://www.deepdyve.com/lp/wiley/models-for-truncated-counts-EwJAWICved
SP - 225
EP - 238
VL - 6
IS - 3
DP - DeepDyve
ER -