Linear regression with distributed-lags is a consolidated methodology in time series analysis to assess the impact of several explanatory variables on an outcome that may persist over periods.Finite polynomial have long tradition due good flexibility accompanied by advantage linear representation, which allows parameter estimation through Ordinary Least Squares (OLS).However, they require speci...

This study employs auto-regressive distributed lag (ARDL) bounds approach to cointegration for long run and errorcorrection modeling (ECM) for short run analysis to examine the relationship between revenue gap and economic growth for Pakistan using annual time series data over the period 1980 to 2008. The short and long run results indicate that revenue gap is statistical significant and negati...

ABSTRACT-Due to the important role productivity plays in future decision making and programming, the productivity indexes should have accurate quantities. In this study, Auto-Regressive Distributed Lag (ARDL) and Genetic Algorithm (GA) methods are applied to time series of 1978-2008 to accurately measure total factor productivity (TFP) in the agricultural sector of Iran. The comparison of these...

The study aims to estimate an international reserves demand model for China using economic growth, propensity to import, real effective exchange rate and trade openness variables for quarterly period spanning from 1985Q1 to 2014Q4.The bounds testing technique to cointegration is used to test for a long run relationship, while the autoregressive distributed lag approach is used to estimate short...

his study attempts to examine the empirical relationship between gasoline taxes (as the most effective energy carrier of emissions) and labor productivities in the case of Iran using the time series data for the period 1990-2015  usingthe autoregressive distributed lag (ARDL) approach. This research tests the interrelationship between the variables using the bounds testing to cointegration proc...

In this study, the causality links between electricity consumption and economic growth are investigated for Turkey, the United Kingdom, Spain, Belgium and United States covering the period from 1964 to 2014. The results of autoregressive distributed lag (ARDL) approach, bounds testing and error correction model show that there is a positive one-way and statistically significant causality moving...

This study investigates the responsiveness of manufacturing sector performance to major macroeconomic determinants in Nigeria, covering the period between 1981 and 2018. It contributes to attendant literature by examining the asymmetric impact of each of the macroeconomic variables, including GDP per capita, exchange rate, inflation rate, interest rate proxied by prime lending rate, and gross f...

Short-term health effects of ambient PM2.5 have been established with numerous studies, but evidence in Asian countries is limited. This study aimed to investigate the short-term effects of PM2.5 on acute health outcomes, particularly all-cause, cardiovascular, respiratory, cerebrovascular and neuropsychological outcomes. We utilized daily emergency ambulance dispatches (EAD) data from eight Ja...