We use a very general multivariate GARCH-M model and G7 monthly data covering the 1957-2003 period to test for the impact of real and nominal macroeconomic uncertainty on inflation and output growth.Our evidence supports ...
We use a very general bivariate GARCH-M model and EU monthly data covering the 1962-2003 period to test for the impact of real (output growth) and nominal (inflation) macroeconomic uncertainty on inflation and output growth. ...
We use a very general bivariate GARCH-M model and quarterly data for five Asian countries to test for the impact of real and nominal macroeconomic uncertainty on inflation and output growth. Our evidence supports a number ...
We study the dynamics of an industry subject to aggregate demand shocks where the productivity of a firm’s technology evolves stochastically over time. Each period, each firm, given the aggregate demand shock, the productivity ...
This paper extends the results of Jovanovic and Rosenthal (1988) on the existence of equilibrium in anonymous sequential games. They prove existence in the case where the aggregate distribution of agents' characteristics ...
This paper examines how time to build alters strategic investment behaviour under oligopoly. Facing demand uncertainty, firms decide whether to invest early or wait until
uncertainty has been resolved. A game that captures ...
The COST-731 action is focused on uncertainty propagation in hydro-meteorological forecasting chains. Goals and activities of the action Working Group 2 are presented. Five foci for discussion and research have been ...
Long-term power system planning is beset by a
trade-off between detail and scope: The chosen approach usually lies somewhere between modeling a great many generation
portfolios coarsely and very few in a more detailed ...
Quantifying uncertainty in flood forecasting is a difficult task, given the multiple and strongly nonlinear
model components involved in such a system. Much effort has been and is being invested in
the quest of dealing ...