We derive the parameter restrictions that a standard equity market model implies for a bivariate vector autoregression for stock prices and dividends, and we show how to test these restrictions using likelihood ratio tests.  The restrictions, which imply that stock returns are unpredictable,...

This paper has two objectives: the first is to jointly analyse monetary and fiscal policy with a structural VAR model, evaluate the dynamic impact of policy shocks on U.S. output and prices and the contributions of these two sources to fluctuations in these variables. The second objective is to...

We consider forecasting with factors, variables and both, modeling in-sample using Autometrics so all principal components and variables can be included jointly, while tackling multiple breaks by impulse-indicator saturation.  A forecast-error taxonomy for factor models highlights the impacts...

We consider selecting an econometric model when there is uncertainty over both the choice of variables and the occurrence and timing of multiple location shifts.  The theory of general-to-simple (Gets) selection is outlined and its efficacy demonstrated in a new set of simulation experiments...

During the past decade or so empirical literature on comparative development of nations has turned to investigation of "deep" or determinants of productivity and capital intensity, such as institutions, trade, geography and human capital.  In this paper I revisit this debate and make three...

Big Data offer potential benefits for statistical modelling, but confront problems like an excess of false positives, mistaking correlations for causes, ignoring sampling biases, and selecting by inappropriate methods.  We consider the many important requirements when searching for a data-based...