This paper proposes a factor augmented autoregressive distributed lag (FADL) framework for analyzing the dynamic effects of common and idiosyncratic shocks. We first estimate the common shocks from a large panel of data with a strong factor structure. Impulse responses are then obtained from an autoregression, augmented with a distributed lag of the estimated common shocks. The approach has thr...

This study uses the Autoregressive Distributed Lag (ARDL) model to study the dynamic determinant factors that influence both long and short-term international tourism demand in Cambodia from 12 countries. The annual time series data (1994–2013) are used in this study. The study finds that only the international tourism demand model of Australia, Canada, Thailand, the United Kingdom, and USA are...

The distributed lag effect of ambient particulate air pollution that can be attributed to all cause mortality in Kathmandu valley, Nepal is estimated through generalized linear model (GLM) and generalized additive model (GAM) with autoregressive count dependent variable. Models are based upon daily time series data on mortality collected from the leading hospitals and exposure collected from th...

This article examines the determinants of health expenditures in Tunisia during the period 1961-2008, using the Autoregressive Distributed Lag (ARDL) approach by Pesaran et al. (2001). The results of the bounds test show that there is a stable long-run relationship between per capita health expenditure, GDP, population ageing, medical density and environmental quality. In fact, on the one hand ...

This study investigates the impact of energy consumption and financial development on economic growth using neo-classical production function in the case of US. The ARDL (Autoregressive distributed lag) bounds testing approach with additional variables (energy consumption and financial development) is used to investigate cointegration during the period of 1967-2012 in US. The ARDL reveals a coi...

In this paper we investigate natural gas producer’s reactions to changes in market prices. We estimate price elasticities of aggregated supply in the most competitive market for natural gas: the United States. Using monthly time series data form 1987 to 2012 our analysis is based on an Autoregressive Distributed Lag (ARDL) Bound Cointegration approach to obtain short and long-run elasticities o...

The study examined the relationship between stock market performance and economic growth in Nigeria. It utilized the bounds testing co-integration procedure also known as autoregressive distributed lag estimation procedure. The empirical model combined key stock market indicators and some traditional macroeconomic variables to estimate the hypothesized relationship in the study. It found that i...

In this study the prime objective is to initiate autoregressive distributed lag transformation for exchange rate and trade balance avoid possible existence of multicollinearity among explanatory variables analyze variation in real its impact on Pakistan. The Koyck model was used studying immediate long run relationship between by using time series annual data ranging from 1981 2021. result show...