We propose marginal integration estimation and testing methods for the coefficients of varying coefficient multivariate regression model. Asymptotic distribution theory is developed for the estimation method which enjoys the same rate of convergence as univariate function estimation. For the...

For over a decade, nonparametric modelling has been successfully applied to study nonlinear structures in financial time series. It is well known that the usual nonparametric models often have less than satisfactory performance when dealing with more than one lag. When the mean has an additive...

We propose marginal integration estimation and testing methods for the coefficients of varying coefficient multivariate regression model. Asymptotic distribution theory is developed for the estimation method which enjoys the same rate of convergence as univariate function estimation. For the...

Recent research on international productivity comparisons with historical data has encountered large discrepancies between benchmark comparisons and time series extrapolations from other benchmarks. Broadberry and Burhop (2005) have recently argued that for Hoffmann’s (1965) widely accepted...

We evaluate explanations for why Germany grew so quickly in the 1950s. The recent litera- ture has emphasized convergence, structural change and institutional shake-up while minimiz- ing the importance of the postwar shock. We show that this shock and its consequences were more important than...

Germany experienced an even deeper fall in GDP in the Great Recession than the United States with little employment loss. Employers’ reticence to hire in the preceding expansion - associated in part with a lack of confidence it would last - contributed to an employment shortfall equivalent to...