Purpose: Since independence, the Government of Kenya has pursued many objectives, one being economic growth. Over previous few years, government expenditure been developing faster than GDP Infrastructure, components public spending, also experienced tremendous growth in spending and development, which not directly reflected rate. Following such situation, it calls for analyzing impact that infr...

Import policies for food products, including beef, need to support national security while protecting the domestic industry. This study aims develop a model beef import demand of Indonesia. The employed annual secondary data from various sources 1990 2019. Autoregressive distributed lag (ARDL) and error correction models (ECM) were adapted predicting long-run short-run demand, by considering in...

This paper uses an innovative method through combining autoregressive distributed lag model and a quantile regression, called a quantile autoregressive distributed lag model, to examine the dynamic long-run equilibrium and short-run causal relationship between the stock price of China and the RMB/USD exchange rate from January 1994 to June 2016. The results indicate that there is long-run coint...

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...