Productivity studies that use proxy variable estimators routinely specify single-output production functions despite most firms producing multiple outputs. This is usually accomplished by aggregating the firm's outputs using total revenue. Such a formulation rarely provides an adequate...

This paper develops a new method for estimating production-function parameters that can be applied in differentiated-product industries with endogenous quality and variety choice. We take advantage of data on physical quantities of outputs and inputs from the Colombian manufacturing survey,...

Using detailed firm-product level quarterly data, we develop an estimation framework of a Multi-Product Production Function (MPPF) and analyse firm-product level TFP estimations at various levels (industries, products). After documenting our estimation results, we relate productivity estimates...

This paper develops a new method for estimating production-function parameters that can be applied in differentiated-product industries with endogenous quality and variety choice. We take advantage of data on physical quantities of outputs and inputs from the Colombian manufacturing survey,...

Control function approaches to estimating production functions rely on a proxy that is monotone in an unobserved scalar productivity conditioning on other state variables. Ackerberg, Caves, and Frazer (2015) point out a potential functional dependence problem when conditioning only on capital....

This paper analyzes the impact of load factor, facility and generator types on the productivity of Korean electric power plants. In order to capture important differences in the effect of load policy on power output, we use a semiparametric smooth coefficient (SPSC) model that allows us to model...

From an empirical perspective, this paper critically examines the concepts of returns to scale (RTS) and economies of scale (EOS), and argues that the concept of EOS is more relevant and broader enough to exhibit proper scale economies behavior of firms. Two approaches, i.e., production function...

When benchmarking production units by non-parametric methods like data envelopment analysis (DEA), an assumption has to be made about the returns to scale of the underlying technology. Moreover, it is often also relevant to compare the frontiers across samples of producers. Until now, no exact...