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In this paper, we investigate the effects of cross-sectional disturbance correlation on a previously suggested panel data stationarity test. We find that the previously suggested test has a serious size distortion if the disturbances to different cross sections are correlated. We suggest a new...
Persistent link: https://www.econbiz.de/10005207003
This paper proposes a new likelihood-based panel cointegration rank test which extends the test of Oersal and Droge (2012) (henceforth Panel SL test) to allow for crosssectional dependence. The dependence is modelled by unobserved common factors which affect the variables in each cross-section...
Persistent link: https://www.econbiz.de/10010858065
This paper takes a multiple testing perspective on the problem of determining the cointegrating rank in macroeconometric panel data with cross-sectional dependence. The testing procedure for a common rank among the panel units is based on Simes' (1986) intersection test and requires only the...
Persistent link: https://www.econbiz.de/10011616223
This paper proposes a new likelihood-based panel cointegration rank test which extends the test of Orsal and Droge (2012) (henceforth Panel SL test) to allow for crosssectional dependence. The dependence is modelled by unobserved common factors which affect the variables in each cross-section...
Persistent link: https://www.econbiz.de/10010333511
This paper takes a multiple testing perspective on the problem of determining the cointegrating rank in macroeconometric panel data with cross-sectional dependence. The testing procedure for a common rank among the panel units is based on Simes’ (1986) intersection test and requires only the...
Persistent link: https://www.econbiz.de/10011453075
This paper proposes a new likelihood-based panel cointegration rank test which extends the test of Örsal & Droge (2012) (henceforth Panel SL test) to allow for cross-sectional dependence. The dependence is modelled by unobserved common factors which affect the variables in each cross-section...
Persistent link: https://www.econbiz.de/10010187855
This paper develops two very simple tests for the null hypothesis of no cointegration in panel data. The tests are general enough to allow for heteroskedastic and serially correlated errors, unit specific time trends, cross-sectional dependence and an unknown structural break in both the...
Persistent link: https://www.econbiz.de/10005419366
This paper reexamines the relationship between migrant remittances and economic growth using the most recent panel data (1977-2012) for some of the largest recipient countries of foreign remittances in the world namely, Bangladesh, India, Pakistan and the Philippines. A cross-sectional...
Persistent link: https://www.econbiz.de/10011213125
This paper proposes a new panel model of cross-sectional dependence. The model has a number of potential structural interpretations that relate to economic phenomena such as herding in financial markets. On an econometric level it provides a flexible approach to the modelling of interactions...
Persistent link: https://www.econbiz.de/10008674296
This paper examines the stationarity of carbon dioxide (CO2) emissions per capita for a set of 36 countries covering the period 1870–2006. We employ recently developed unit root and stationarity tests that allow for the mean reverting process to be nonlinear and take into account cross...
Persistent link: https://www.econbiz.de/10010737975