The authors apply Leif Johansen's (1972) dynamic production function framework to the development of the Finnish brewery industry over a thirty-year time span, 1955 to 1984, based on micro data (plants). The relationship between the micro-frontier and short-run industry production functions is...

This paper examines farm-level efficiency of U.S. dairy farmers by estimating their technical and allocative inefficiencies. The authors allow technical inefficiency to be a function of some farm-specific characteristics. The model extends the existing stochastic frontier methodology in which...

This paper considers the estimation of frontier production functions in panel data models. It proposes a multi-stage method to obtain estimates of (1) the parameters of a flexible input requirement function and (2) technical inefficiency decomposed into time-invariant (firm-specific),...

This paper deals with modeling total factor productivity (TFP) growth in a flexible manner using panel data. Several competing parametric models are used to explore whether there are any similarities in the estimates of TFP growth and technical change among these models. Using a primal approach,...

The estimation of technical change in panel data models is considered using two competing models: the time trend model and the general index model. The authors' measure of technical change in both models is based on the input requirement function. Technical change is further decomposed into pure...