The present paper studies dependencies between European stock markets when returns are unusually large, using daily data on stock market indices for Germany, the United Kingdom, France, the Netherlands and Italy from 1973 to 2001. Dependency is measured by the conditional probability of an...

The present paper studies dependencies between European stock markets when returns are unusually large, using daily data on stock market indices for Germany, the United Kingdom, France, the Netherlands and Italy from 1973 to 2001. Dependency is measured by the conditional probability of an...

We study 30 vintages of FRB/US, the principal macro model used by the Federal Reserve Board staff for forecasting and policy analysis. To do this, we exploit archives of the model code, coefficients, baseline databases and stochastic shock sets stored after each FOMC meeting from the model’s...

We estimate the degree of ‘stickiness’ in aggregate consumption growth (sometimes interpreted as reflecting consumption habits) for thirteen advanced economies. We find that, after controlling for measurement error, consumption growth has a high degree of auto-correlation, with a stickiness...

This paper reviews approaches used for evaluating the performance of local or regional innovation systems. This evaluation is performed by a benchmarking approach in which a frontier production function can be determined, based on a knowledge production function relating innovation inputs and...

In this paper we have assessed an influence of the NYSE Stock Exchange indexes (DJIA and NASDAQ) and European Stock indexes (DAX and FTSE) on the Warsaw Stock Exchange index WIG within a framework of a GARCH model. By applying a procedure of checking predictive quality of econometric models as...

This paper presents a method of calculating sharp bounds on the average treatment effect using linear programming under identifying assumptions commonly used in the literature. This new method provides a sensitivity analysis of the identifying assumptions and missing data in an application...

We study 30 vintages of FRB/US, the principal macro model used by the Federal Reserve Board staff for forecasting and policy analysis. To do this, we exploit archives of the model code, coefficients, baseline databases and stochastic shock sets stored after each FOMC meeting from the model's...

I study 46 vintages of FRB/US, the principal macro model used by Federal Reserve Board staff for forecasting and policy analysis, as measures of real-time model uncertainty. I also study the implications of model uncertainty for the robustness of commonly applied, simple monetary policy rules. I...