Narrow search
Showing 11 - 20 of 48,185
Cover Image
Forecasting Productivity Using Information from Firm-Level Data
Bartelsman, Eric J.; Wolf, Zoltán - Tinbergen Institute - 2009
explores various specifications of decompositions and various forecasting experiments. The result from these horse-races is … for richer forecasting specifications, the paper shows, using Bayesian model averaging techniques (BMA), that the …
Persistent link: https://www.econbiz.de/10005016264
Cover Image
Forecasting Aggregate Productivity using Information from Firm-Level Data
Bartelsman, Eric J.; Wolf, Zoltan - Tinbergen Instituut - 2009
explores various specifications of decompositions and various forecasting experiments. The result from these horse-races is … for richer forecasting specifications, the paper shows, using Bayesian model averaging techniques (BMA), that the …
Persistent link: https://www.econbiz.de/10011257659
Cover Image
Predictive likelihood comparisons with DSGE and DSGE-VAR models
Warne, Anders; Coenen, Günter; Christoffel, Kai - 2013
distribution. As an empirical illustration, we use euro area data and compare the forecasting performance of the New Area …
Persistent link: https://www.econbiz.de/10011605581
Cover Image
An automatic leading indicator, variable reduction and variable selection methods using small and large datasets: Forecasting the industrial production growth for euro area economi...
Camba-Méndez, Gonzalo; Kapetanios, George; Papailias, Fotis - 2015
This paper assesses the forecasting performance of various variable reduction and variable selection methods. A small … and a large set of wisely chosen variables are used in forecasting the industrial production growth for four Euro Area …
Persistent link: https://www.econbiz.de/10011605818
Cover Image
Nowcasting GDP with a large factor model space
Eraslan, Sercan; Schröder, Maximilian - 2019
We propose a novel time-varying parameters mixed-frequency dynamic factor model which is integrated into a dynamic model averaging framework for macroeconomic nowcasting. Our suggested model can efficiently deal with the nature of the real-time data flow as well as parameter uncertainty and...
Persistent link: https://www.econbiz.de/10012120406
Cover Image
Energy Markets and Global Economic Conditions
Baumeister, Christiane; Korobilis, Dimitris; Lee, Thomas K. - 2020
usefulness for forecasting real oil prices and global petroleum consumption. We find that world industrial production is one of …
Persistent link: https://www.econbiz.de/10012214193
Cover Image
Nowcasting GDP with a large factor model space
Eraslan, Sercan; Schröder, Maximilian - 2019
We propose a novel time-varying parameters mixed-frequency dynamic factor model which is integrated into a dynamic model averaging framework for macroeconomic nowcasting. Our suggested model can efficiently deal with the nature of the real-time data flow as well as parameter uncertainty and...
Persistent link: https://www.econbiz.de/10012119825
Cover Image
Energy markets and global economic conditions
Baumeister, Christiane; Korobilis, Dimitris; Lee, Thomas - 2020
usefulness for forecasting real oil prices and global petroleum consumption. We find that world industrial production is one of …
Persistent link: https://www.econbiz.de/10012213172
Cover Image
A new index of financial conditions
Koop, Gary; Korobilis, Dimitris - Department of Economics, Adam Smith Business School
We use factor augmented vector autoregressive models with time-varying coe¢ cients to construct a …nancial conditions index. The time-variation in the parameters allows for the weights attached to each …nancial variable in the index to evolve over time. Furthermore, we develop methods for...
Persistent link: https://www.econbiz.de/10011019232
Cover Image
Forecasting Key Macroeconomic Variables of the South African Economy Using Bayesian Variable Selection
Chama-Chiliba, Mirriam Chitalu; Gupta, Rangan; … - Department of Economics, Faculty of Economic and … - 2011
We compare the forecasting performances of the classical and the Minnesota-type Bayesian vector autoregressive (VAR … algorithm for variable selection, estimated using Markov Chain Monte Carlo methods. In this regard, we analyze the forecasting … the linear fixed coefficients classical VAR. However, we do not observe marked gains in forecasting power across the …
Persistent link: https://www.econbiz.de/10009369165