7 take advantage of the panel structure of their data to control for possible errors of specifica tion in their models. It is interesting to note that the econometric and DEA methods may be closer than some of their respective advocates seem to believe. Several of the studies show that the former as well as the latter can be effectively used to assess the relative effi ciency of groups of firms or individual firms, and one of them explicitly compare results arising from both (Fecher et al.). Econometric techniques can also be nonparametric and applied to estimating cost or production frontiers (and not only "average" functions), while ultimately DEA should be amenable to statistical inference. Perhaps the most valuable feature of all the analyses is their care and ingenuity in putting together the data, measuring variables, and pulling out relevant information. Many of them are not content with an overall output measure, but endeavor to manage with less aggregated measures. Nearly all also include in the estimated models a number of auxiliary variables intended to control for specific attributes of outputs, inputs, or production techniques, and other characteristics of firms.
"Sinopsis" puede pertenecer a otra edición de este libro.
7 take advantage of the panel structure of their data to control for possible errors of specifica tion in their models. It is interesting to note that the econometric and DEA methods may be closer than some of their respective advocates seem to believe. Several of the studies show that the former as well as the latter can be effectively used to assess the relative effi ciency of groups of firms or individual firms, and one of them explicitly compare results arising from both (Fecher et al.). Econometric techniques can also be nonparametric and applied to estimating cost or production frontiers (and not only "average" functions), while ultimately DEA should be amenable to statistical inference. Perhaps the most valuable feature of all the analyses is their care and ingenuity in putting together the data, measuring variables, and pulling out relevant information. Many of them are not content with an overall output measure, but endeavor to manage with less aggregated measures. Nearly all also include in the estimated models a number of auxiliary variables intended to control for specific attributes of outputs, inputs, or production techniques, and other characteristics of firms.
This book focuses on the empirical analysis of productivity in services at the firm level. Productivity studies are still scarce in services, especially in view of the major role of the services sector in modern developed economies and the increasing concern about its performance.
The services industries studied in this volume are quite diverse, with a strong representation of financial services. All analyses are performed on the microlevel, being based on cross-sectional or panel data for samples of firms of widely varying sizes. They focus on a variety of topics ranging from comparing the efficiency of different categories of service firms or exploring the impact of mergers and deregulation on productivity performance to assessing the magnitude of returns to scale and scope or investigating the properties of different parametric or nonparametric methods to estimate cost and production functions.
Perhaps the most valuable feature of all these studies is the authors' care and ingenuity in putting the data together, measuring variables and extracting relevant information. After reading the book, one is inclined to consider that services may not be all that different from goods.
"Sobre este título" puede pertenecer a otra edición de este libro.
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