Structural relations, cointegration and identification: some simple results and their application

作者: James Davidson

DOI: 10.1016/S0304-4076(98)00007-4

关键词:

摘要: This paper presents and applies some results on the interpretation of cointegrating regressions. The key concept is irreducible (IC) relation, one from which no variable can be omitted without loss cointegration property. Extending earlier results, it shown that under certain circumstances, IC relations are identified structural forms. It possible, at least in principle, to learn about structure simultaneous long-run directly analyses, contrast with well-known fact such knowledge obtained correlations between stationary variables. also estimated by asymptotically mixed Gaussian median unbiased estimators, permitting standard inference. MINIMAL, an algorithm for extracting subsets a data set, applied variety artificial actual data.

参考文章(23)
Cheng Hsiao, Cointegration and dynamic simultaneous equations model Econometrica. ,vol. 65, pp. 647- 670 ,(1997) , 10.2307/2171757
Christopher A. Sims, MACROECONOMICS AND REALITY Econometrica. ,vol. 48, pp. 1- 48 ,(1980) , 10.2307/1912017
Peter C. B. Phillips, Bruce E. Hansen, Statistical Inference in Instrumental Variables Regression with I(1) Processes The Review of Economic Studies. ,vol. 57, pp. 99- 125 ,(1990) , 10.2307/2297545
F. Marhuenda, Distribution of income and aggregation of demand Econometrica. ,vol. 63, pp. 647- 666 ,(1995) , 10.2307/2171911
Michael Osterwald-Lenum, A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics1 Oxford Bulletin of Economics and Statistics. ,vol. 54, pp. 461- 472 ,(1992) , 10.1111/J.1468-0084.1992.TB00013.X
Pauline Gregg, King Charles I ,(1981)
PETER C. B. PHILLIPS, PIERRE PERRON, Testing for a Unit Root in Time Series Regression Biometrika. ,vol. 75, pp. 335- 346 ,(1988) , 10.1093/BIOMET/75.2.335