There has been increased interest in the use of "big data" when it comes to forecasting macroeconomic time series such … as private consumption or unemployment. However, applications on forecasting GDP are rather rare. In this paper we … incorporate Google search data into a Bridge Equation Model, a version of which usually belongs to the suite of forecasting models …

cointegration framework to examine whether Chinese interest rates are driven by the Fed's policy. In a second step, we estimate a … exert relatively autonomous monetary policy. -- Chinese monetary policy ; monetary independence ; cointegration …

is fundamentally uncertain which covariates are relevant. Thus cointegration is often analyzed in partial systems … significant cointegration outcome using a bootstrapped rank test (Cavaliere, Rahbek, and Taylor, 2012) in the bivariate sub … reject the null of no cointegration, but by simulation we find that they display very low power, such that the (bivariate …

forecasting macroeconomic key variables such as GDP. However, the DFM has some weaknesses. For nowcasting, the dynamic factor … on euro-area data show that the now- and forecasting performance of our new model is superior to that of the subset …