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Cointegration

About: Cointegration is a research topic. Over the lifetime, 17130 publications have been published within this topic receiving 506215 citations.


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01 Jan 1990
TL;DR: The authors provides an updated survey of a burgeoning literature on testing, estimation and model speciftcation in the presence of integrated variables, a speciftc class of non-stationary variables which seem to characterise faithfully the properties of many macroeconomic time series.
Abstract: This paper provides an updated survey of a burgeoning literature on testing, estimation and model speciftcation in the presence of integrated variables. Integrated variables are a speciftc class of non-stationary variables which seem to characterise faithfully the properties of many macroeconomic time series. The analysis of cointegration develops out of the existence of unit roots and offers a generic route to test the validity of the equilibrium predictions of economic theories. Special emphasis is put on the empirical researcher's point of view.

468 citations

Journal ArticleDOI
TL;DR: This paper presented an empirical analysis of long-run purchasing power parity (PPP) for five major exchange rates using recently developed econometric techniques on the cointegration of economic time series.
Abstract: This paper presents an empirical analysis of long-run purchasing power parity (PPP) for five major exchange rates using recently developed econometric techniques on the cointegration of economic time series. Our empirical results are extremely unfavourable to the PPP hypothesis as a long-run equilibrium condition, even with an allowance made for measurement error and/or tranportation costs. In particular, we are unable to reject the hypothesis of non-cointegration of the exchange rate and relative prices for any of the countries concerned. Far from finding a stable, long-run proportionality between exchange rates and relative prices, our results therefore suggest that they tend to drift apart without bound.

467 citations

Journal ArticleDOI
TL;DR: In this article, the authors used the panel data of energy consumption (EC) and economic growth (GDP) for 51 countries from 1971 to 2005, and divided the countries into three groups: low income group, lower middle income group and upper middle income groups.

466 citations

Journal ArticleDOI
TL;DR: In this article, a simple test for the null hypothesis of no cointegration in panel data is developed, which is general enough to allow for heteroskedastic and serially correlated errors, unit-specific time trends, cross-sectional dependence and unknown structural breaks in both the intercept and slope of the cointegrated regression, which may be located at different dates for different units.
Abstract: This paper develops a very simple test for the null hypothesis of no cointegration in panel data. The test is general enough to allow for heteroskedastic and serially correlated errors, unit-specific time trends, cross-sectional dependence and unknown structural breaks in both the intercept and slope of the cointegrated regression, which may be located at different dates for different units. The limiting distribution of the test is derived, and is found to be normal and free of nuisance parameters under the null. A small simulation study is also conducted to investigate the small-sample properties of the test. In our empirical application, we provide new evidence concerning the purchasing power parity hypothesis.

466 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the dynamic interdependence of the major stock markets in Latin America using data from 1995 to 2000, and found that there is one cointegrating vector which appears to explain the dependencies in prices.
Abstract: This study investigates the dynamic interdependence of the major stock markets in Latin America. Using data from 1995 to 2000, we examine the stock market indexes of Argentina, Brazil, Chile, Colombia, Mexico and Venezuela. The index level series are non-stationary and so we employ cointegration analysis and error correction vector autoregressions (VAR) techniques to model the interdependencies. We find that there is one cointegrating vector which appears to explain the dependencies in prices. The results are robust to sensitivity tests based on translating indexes to US dollars (i.e., a common currency for all the markets) and to partitioning the sample into periods before and after the Asian and Russian financial crises of 1997 and 1998, respectively. Our results suggest that the potential for diversifying risk by investing in different Latin American markets is limited.

465 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023757
20221,583
2021645
2020755
2019752
2018720