Results 61 to 70 of about 3,084 (160)
A panel cointegration analysis of linkages between international trade and tourism: case of India and South Asian Association for Regional Cooperation (SAARC) countries. [PDF]
Azmi SN, Khan T, Azmi W, Azhar N.
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Income and energy consumption in Asia-Pacific countries - A panel cointegration analysis enhanced with common factors. [PDF]
Li R, Joyeux R, Ripple RD.
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The main purpose of this study is to investigate empirically the impact of energy consumption and economic growth on the environmental degradation as measured by CO2 emissions.
Lamia Jamel, Abdelkader Derbali
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Investigating the environmental Kuznets curve between economic growth and chemical fertilizer surpluses in China: a provincial panel cointegration approach. [PDF]
Yu X, Schweikert K, Doluschitz R.
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Aid Absorption and Spending in Africa: A Panel Cointegration Approach [PDF]
This paper investigates whether African countries have coordinated fiscal and macroeconomic responses to foreign aid surges. We depart from the recent literature by utilising better aid measures and employing cointegration analysis. The short-run results suggest that recipients have absorbed two-thirds of aid, while the remaining has been used to build
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The study investigated the relationship among remittances, financial development and economic growth in a panel of 20 sub-Saharan African countries over the period of 2000 and 2015.
D. O. Olayungbo, Ahmod Quadri
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Testing for Breaks in Cointegrated Panels [PDF]
We investigate the issue of testing for structural breaks in large cointegrated panels with common and idiosyncratic regressors. We prove a panel Functional Central Limit Theorem. We show that the estimated coefficients of the common regressors have a mixed normal distribution, whilst the estimated coefficients of the idiosyncratic regressors have a ...
Kao, Chihwa +2 more
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Mixed signals among panel cointegration tests [PDF]
Time series cointegration tests, even in the presence of large sample sizes, often yield conflicting conclusions (“mixed signals”) as measured by, inter alia, a low correlation of empirical p-values [see Gregory et al., 2004, Journal of Applied Econometrics].
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