This paper examines the use of autoregressive distributed lag (ARDL) models for the analysis of long-run relations when the underlying variables are I(1). It shows that after appropriate augmentation of the order of the ARDL model, the OLS estimators of the short-run parameters are p T -consistent with the asymptotically singular covariance matrix, and the ARDL-based estimators of the long-run ...

This study examines the meaningful relationship between economic growth, and service sector contribution and domestic investment in two major Asian economies, namely India and China. Autoregressive Distributed Lag (ARDL) bounds testing procedure is employed to analyze the impact of the selected variables namely (1) contribution by the service sector, (2) (4) domestic investment on economic grow...

Purpose: This study aims to analyze the demand for oil exports and determine short-term long-term impact of patchouli price variables, per capita income export destinations, real exchange rate on Indonesia's demand. Theoretical framework: is supported by literature Method/design/approach: employed panel ARDL regression (Autoregressive Distributed Lag) data from 2006 - 2021 Results conclusion: A...

A new approach is developed to examine potential causality between merger activity and industrial production. The proposed method combines an information criterion based approach to lag optimisation with joint maximum likelihood estimation of an autoregressive distributed lag model and GARCH(1,1) specification. Application to UK data provides significant evidence in support of causality between...

There has been a monotonic increase in research investigating the performance of commercial banks across globe. This is recognition that banking and financial sector significant contribution to service national output. paper analyzed determinants bank’s category macroeconomic, bank-specific structure factors Malawi. The study employed an autoregressive distributed (ARDL) approach/bounds cointeg...