Do broad money, output, and prices stand for a stable relationship in India?

This study investigates the stability of the relationship among M3 money, output, and prices. The empirical results derived from conventional stability tests, cointegration and error correction models and a test for structural break in a cointegrating vector provide evidence for the existence of a fairly stable relationship among these variables during 1951–1952 to 2000–2001. The evidence suggests that the growth of M3 money can be used as one of the potential indicators of future movement in prices within the multiple indicators framework of the Reserve Bank of India (RBI). However, evidence regarding the short run dynamic adjustment among these variables indicates that active monetary policy to stabilize short run fluctuation in prices must be handled with caution, as it would amplify rather than moderate price fluctuations in the long run.     

Cointegration and direct tests of the rational expectations hypothesis

The paper is concerned with direct tests of the rational expectations hypothesis (REH) in the presence of stationary and non-stationary variables. Alternative methods of converting qualitative survey responses into quantitative expectations series are examined. Testing of orthogonality and the issue of generated regressors for models estimated by two step methods are re-evaluated when the variable to be explained is stationary. A methodological approach for testing the REH is provided for models using qualitative response data when there are unit roots and cointegration, and alternative reasons are examined for rejecting the null hypothesis of orthogonality. The usefulness of cointegration analysis for both the probability and regression conversion procedures is also analysed. Cointegration is found to be directly applicable for the probability conversion approach with uniform, normal and logistic distributions of expectations and for the linear regressicn conversion approach. In the light of new techniques, an existing empirical example testing the REH for British manufacturing firms is re-examined and tested over an extended data set.     

Consistent testing for non‐correlation of two cointegrated ARMA time series

A consistent approach to the problem of testing non‐correlation between two univariate infinite‐order autoregressive models was proposed by Hong (1996). His test is based on a weighted sum of squares of residual cross‐correlations, with weights depending on a kernel function. In this paper, the author follows Hong's approach to test non‐correlation of two cointegrated (or partially non‐stationary) ARMA time series. The test of Pham, Roy & Cédras (2003) may be seen as a special case of his approach, as it corresponds to the choice of a truncated uniform kernel. The proposed procedure remains valid for testing non‐correlation between two stationary invertible multivariate ARMA time series. The author derives the asymptotic distribution of his test statistics under the null hypothesis and proves that his procedures are consistent. He also studies the level and power of his proposed tests in finite samples through simulation. Finally, he presents an illustration based on real data.     

On the duality between long-run relations and common trends in the i(1) versus(2)model.an application to aggregate money holdings

Long-run relations and common trends are discussed in terms of the multivariate cointegration model given in the autoregressive and the moving average form. The basic results needed for the analysis of I(1) and 1(2)processes are reviewed and the results applied to Danish monetary data. The test procedures reveal that nominal money stock is essentially I(2). Long-run price homogeneity is supported by the data and imposed on the system. It is found that the bond rate is weakly exogenous for the long-run parameters and therefore act as a driving trend. Using the nonstationarity property of the data, “excess money” is estimated and its effect on the other determinants of the system is investigated. In particular, it is found that “excess money” has no effect on price inflation.     

On the interactions of unit roots and exogeneity

The paper considers the impact on estimation and inference of interactions between the existence of unit roots in a data generation process and the presence or absence of weak and strong exogeneity of conditioning variables for the parameters of interest in individual cointegrated linear relationships. The asymptotic distributions of estimators for single equation conditional linear relations are analyzed in conjunction with a Monte Carlo study. The results confirm the important role of weak exogeneity in single equation estimation from integratedcointegrated data; highlight the advantages of using an asymptotic analysis to understand the complicated interactions observed; and reveal the accuracy of the limiting distributions in characterizing finite sample behaviour.     

我国吸收外商直接投资影响因素的协整分析

改革开放的20多年来,我国的外商直接投资逐年增加,对我国经济的快速发展发挥重要的作用,而影响外商直接投资的因素有很多。在对吸收外来直接投资理论研究的基础上,结合我国的实际情况,利用协整分析方法和格兰杰检验方法,定量分析影响我国外商直接投资的因素,认为我国稳定的发展态势及前景是主因。     

Confidence Sets for Cointegrating Coefficients Based on Stationarity Tests

Standard methods for inference in cointegrating systems require all the variables to have exact unit roots and are not at all robust even to slight violations of this condition. In this article, I consider an alternative approach to inference in a cointegrating system. This involves testing the hypothesis that a cointegrating vector takes on a specified value by testing for the stationarity of the associated residual. Confidence sets for the cointegrating vector can be constructed by exploiting the equivalence between tests and confidence sets. This method has the advantage that it remains valid even if the regressors have roots that are not exactly equal to unity.     

我国返乡农民工技能资本与收入关系的实证研究

 返乡农民工造成了就业压力和稳定压力趋向增大,文章采集了湖南、江西、四川、河南和安徽等劳务输出大省的数据,通过研究技能资本在增加返乡农民工收入的重要作用,应用计量经济学方法对数据进行实证分析,应用经典回归理论、协整理论、格朗杰因果检验及脉冲响应函数等计量分析方法全面考量技能资本与返乡农民工收入的关系,得到研究结论：受教育年限在短期对返乡农民工收入不产生影响,技能投入对返乡农民工增收是具有直接的影响力的,技能收入和培训年限是弱外生变量,国家可以通过增加返乡农民工收入来间接影响技能投资结构。     

考虑截面相关条件下的异质性面板数据协整回归模型的估计

 面板数据的非平稳分析是近年来迅速发展的方向,其中考虑截面相关情形下面板数据的协整分析的发展备受关注。Bai &; Kao（2006）得出了截面相关条件下面板协整估计的因子模型,但该模型只考虑了被解释变量截面相关情形,未考虑解释变量的截面相关,且假定各截面间长期协方差矩阵相同。本文在Bai（2006）考虑截面相关条件下面板数据协整回归模型估计的基础上将其结论推广至被解释变量和解释变量均截面相关及截面长期协方差矩阵不相同即异质性时的情形,并试图通过Monte Carlo 模拟讨论其小样本性质。并且由于截面间长期协方差矩阵异质性的存在,本文还针对两变量的协整系统提出了系数检验的组间均值t统计量。     

Cointegration: Bayesian Significance Test

To estimate causal relationships, time series econometricians must be aware of spurious correlation, a problem first mentioned by Yule (1926 Yule , G. U. ( 1926 ). Why we do sometimes get nonsense-correlations between time-series? A study in sampling and the nature of time-series (with discussion) . J. Roy. Statist. Soc. 89 : 1 – 64 .[Crossref] , [Google Scholar]). To deal with this problem, one can work either with differenced series or multivariate models: VAR (VEC or VECM) models. These models usually include at least one cointegration relation. Although the Bayesian literature on VAR/VEC is quite advanced, Bauwens et al. (1999 Bauwens , L. , Lubrano , M. , Richard , J.-F. ( 1999 ). Bayesian Inference in Dynamic Econometric Models . Oxford : Oxford University Press . [Google Scholar]) highlighted that “the topic of selecting the cointegrating rank has not yet given very useful and convincing results”.

The present article applies the Full Bayesian Significance Test (FBST), especially designed to deal with sharp hypotheses, to cointegration rank selection tests in VECM time series models. It shows the FBST implementation using both simulated and available (in the literature) data sets. As illustration, standard non informative priors are used.