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We use a bivariate VAR model to model and predict the joint evolution of short term and long term interest rates. We introduce a GARCH effect on the innovations of the model in order to account for the changing volatility of the series. We test the cointegration of the two interest rates, which...
Persistent link: https://www.econbiz.de/10005043152
The American electric utility data, which are frequently analyzed in the context of frontier models, can be explained by a linear model without inefficiencies. the observed maximum likelihood for this linear model is very mildly smaller than the maximum likelihood for more flexible stochastic...
Persistent link: https://www.econbiz.de/10005008180
The main objective of the paper is to present a general framework for estimating production frontier models with panel data: a sample of firms i = 1, ... ,N is observed on several time periods t = 1. . .. , T. In this framework , nonparametric stochastic models for the frontier will be analysed....
Persistent link: https://www.econbiz.de/10005008289
This paper considers the semiparametric stochastic frontier model with panel data which arises in the problem of measuring technical inefficiency in production processes. We assume a parametric form for the frontier function, which is linear in production inputs. The density of the individual...
Persistent link: https://www.econbiz.de/10005008376
This paper develops a consistent bootstrap estimation procedure for obtaining confidence intervals for Malmquist indices of productivity and their decompositions. Although the exposition is in terms of input-oriented indices, the techniques can he trivially extended to the output orientation....
Persistent link: https://www.econbiz.de/10005065264
In Grosskopf (1995) and Banker (1995) different approaches and problems of statistical inference in DEA frontier models are presented. This paper focuses on the basic characteristics of DEA models from a statistical point of view. It arose from comments and discussions on both papers above. The...
Persistent link: https://www.econbiz.de/10005065401
This paper generalizes the results of Hausman and Taylor (1981), Schmidt and Sickles (1984), Cornwell, Schmidt and Sickles (1990) and Park and Simar (1992) to the efficient IV estimation of panel models in which the random effects are correlated with a subset of the regressors. The model in...
Persistent link: https://www.econbiz.de/10005042835
This paper complements the results of Hausman and Taylor (1981) and Cornwell, Schmidt and Sickles (1990) and generalizes Park and Simar (1994) by examining the semiparametric efficient estimation of panel models in which the random effects and the regressors have certain patterns of correlation....
Persistent link: https://www.econbiz.de/10005043052
A way for measuring the efficiency of enterprises is via the estimation of the so-called production frontier, which is the upper boundary of the support of the population density in the input and output space. It is reasonable to assume that the production frontier is a concave monotone...
Persistent link: https://www.econbiz.de/10005043073
Several recent papers in the American Economic Review examined important questions regarding productivity growth and its sources in industrialized countries: Fare, Grosskopf, Norris, and Zhang (FGNZ),1994 and Ray and Desli (RD), 1997. We examine two sets of issues raised by these papers, and...
Persistent link: https://www.econbiz.de/10005043394