This paper investigates and analyzes the long-run equilibrium relationship between the Thai stock Exchange Index (SETI) and selected macroeconomic variables using monthly time series data that cover a 20-year period from January 1990 to December 2009. The following macroeconomic variables are...

This paper proposes a new test for a large set of zero restrictions in regression models based on a seemingly overlooked, but simple, dimension reduction technique. The procedure involves multiple parsimonious regression models where key regressors are split across simple regressions. Each...

Granger causality tests are widely used in applied economics as a way of establishing if a variable has been a leading indicator of another over the past. However, like most statistical tests, Granger causality tests require that the relationship between the variables remains stable over the...

This paper is concerned with the possible bivariate Granger causality between immigration, measured as the proportion of net permanent and long-term movement to resident population, and long-term unemployment, measured as the proportion of long-term unemployed to total unemployed, in Australia...

The purpose of this paper is the empirical testing of the relationship between economic growth and government spending and, at the same time, to determine the extent to which economic growth causes growth in government expenditures (Wagner's law) or the other way around (Keynesian hypothesis)....

The 'saving for a rainy day' hypothesis implies that households' saving decisions reflect that they can (rationally) predict future income declines. The empirical relevance of this hypothesis plays a key role in discussions of fiscal policy multipliers and it holds under the null that the...

The pattern of information flows between Eurodollar spot and futures markets is examined using a robust two-step procedure. This procedure allows for conditional mean and variance dynamics as well as conditional heteroskedasticity. We find spot rates affect futures data and vice versa. In...