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This paper develops a new method for testing for Granger non-causality in panel data models with large cross-sectional (N) and time series (T) dimensions. The method is valid in models with homogeneous or heterogeneous coefficients. The novelty of the proposed approach lies on the fact that...
Persistent link: https://www.econbiz.de/10015218430
The purpose of this paper is twofold: 1) to highlight the widely ignored but fundamental problem of ‘superpopulations’ for the use of inferential statistics in development studies. We do not to dwell on this problem however as it has been sufficiently discussed in older papers by...
Persistent link: https://www.econbiz.de/10015226259
We analyze the conditions in which ignoring spatial correlation is problematic for inference in differences-in-differences (DID) models. Assuming that the spatial correlation structure follows a linear factor model, we show that inference ignoring such correlation remains reliable when either...
Persistent link: https://www.econbiz.de/10015263975
We analyze the conditions in which ignoring spatial correlation is problematic for inference in differences-in-differences (DID) models. Assuming that the spatial correlation structure follows a linear factor model, we show that inference ignoring such correlation remains reliable when either...
Persistent link: https://www.econbiz.de/10015265029
This article introduces the xtgranger command in Stata, which implements the panel Granger non-causality test approach developed by Juodis et al. (2021). This test offers superior size and power performance to existing tests, which stems from the use of a pooled estimator that has a faster...
Persistent link: https://www.econbiz.de/10015268417
This article introduces the xtgranger command in Stata, which implements the panel Granger non-causality test approach developed by Juodis, Karavias and Sarafidis (2021). This test offers superior size and power performance to existing tests, which stems from the use of a pooled estimator that...
Persistent link: https://www.econbiz.de/10015240380
We propose a framework for causal inference using factor models. We base our identification strategy on the assumption that policy interventions cause structural breaks in the factor loadings for the treated units. The method allows heterogeneous trends and is easy to implement. We compare our...
Persistent link: https://www.econbiz.de/10015213319
The objective of this paper represents the analysis of the way the Romania's economic integration in the EU will influence the regional specialization and industrial activities localization within NUTS (the eight regions of Romania) during the period 1991-2004, using absolute measures...
Persistent link: https://www.econbiz.de/10015250450
Using monthly frequency data from 1981 to 2005, we test for the potential mean reversion of Japan-US real exchange rates using newly improved unit root tests allowing for endogenous (unknown) break(s) in the linear as well as non-linear manner. Both countries have contributed vital proportion in...
Persistent link: https://www.econbiz.de/10015228915
This study investigates the causality relationship between defence expenditures and Non Oil economic growth in Saudi Arabia over the period 1970-2012. Using Unit root tests, Johansen’s co-integration test and Granger Causality test. In this paper we found the existence of bi-directional...
Persistent link: https://www.econbiz.de/10015236826