t his study investigates the factors affecting the demand for new residential buildings in urban areas of iran during 1976-2010. the demand function for new residential buildings in urban areas was estimated and then the existence of a long-run relationship among variables of this function was studied using the bounds testing of the autoregressive distributed lag co-integration procedure. the t...

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 ...

Following the financial and debt crises in euro area global COVID pandemic, governments supported their economies by increasing borrowing accumulating with ambiguous long-run effects on non-performing loans (NPLs). We empirically investigate determinants of NPLs using quarterly (2003Q1-2020Q2) aggregate data for Greece applying autoregressive distributed lag (ARDL) bounds testing approach. offe...

Inflationary tendencies of public debt have been the cause an unsettling debate among policymakers in Nigeria. Using autoregressive distributed lag (ARDL) framework, this study attempts to investigate impact total on inflation Nigeria for period 1983–2018. The cointegrating regression results reveal evidence a stable long-run relationship inflation, debt, money supply, interest rate, economic g...