Publikace na Fakulta sociálních věd, Matematicko-fyzikální fakulta, Centrum pro ekonomický výzkum a doktorské studium |
2022
Abstrakt
This review covers several of the core methodological and empirical developments surrounding stochastic frontier models that incorporate various new forms of dependence. Such models apply naturally to panels where cross-sectional observations on firm productivity correlate over time, but also in situations where various components of the error structure correlate between each other and with input variables.
Ignoring such dependence patterns is known to lead to severe biases in the estimates of production functions and to incorrect inference.