-Yamamoto causality test and the nonlinear autoregressive distributed lag (NARDL) modeling framework to analyze the data. Our results show … stationary. Using the Toda-Yamamoto causality test, we find no causality running from financial development to economic growth …, but there is evidence of reverse causality from economic growth to financial development. Furthermore, the NARDL model …

breaks, the study finds evidence of a cointegration relation between the government revenues and spending. The results did … difficulties in financing its debts in the long run. Lastly, the short run and long run Granger causality results, while providing …

by means of threshold cointegration and asymmetric error correction modeling. The study provides evidence for non …-linear cointegration between our variables of interest. The estimated asymmetric error correction models provide new evidence for slower …

important to Africa. Using a novel dataset of FDIREI, this paper examines the existence and nature of cointegration and … causality nexuses among FDIREI, REP, and economic growth (GDP) in 32 African countries over 2003-2019. For methodological … robustness purposes; GDP is added. By applying the panel vector autoregression model based-Granger causality test and a static …

results indicate that there is unidirectional Granger-causality from economic growth to public debt in Zambia, irrespective of … whether the analysis is done in the short run or in the long run. The study results, however, fail to find any causality …

The paper aims to investigate the possible dual causality between exchange rates and stock indices of China and ASEAN … focus on China. The results of the model confirm the dual causality between the two variables of interest in China. It …

variables over the period 1980–2014, using Granger causality test based on the vector error correction model. The empirical … confirm causality to run from GDP to FDI. This can be concluded that the growth impact of FDI is sufficiently supported in …

-run implications. In this study, we examined the joint short-run and long-run causality relationship, as well as the long-run behaviour … root test, panel co-integration test and fully modified ordinary least square regression (FMOLS). Using Tobin Q as the … dependent variable, there is no flow of joint long-run causality from the independent variables. The significance of the short …

macroeconomic indicators using both quantile-on-quantile regression and Granger causality in quantile frameworks. The macroeconomic …

-set. We also use Markovswitching dynamic regression (MSDR) models, Bayesian vector autoregressive (VAR) models, and causality …