Showing 1 - 10 of 2,309
an application to the estimation of panel data models with an infinite number of weak factors and a finite number of …
Persistent link: https://www.econbiz.de/10013158328
Carlo experiments, where we also study the estimation of the aggregate effects of micro and macro shocks. The paper …
Persistent link: https://www.econbiz.de/10013038262
EU and OECD countries. The estimation approach accounts for firm heterogeneity and selection bias in a panel …
Persistent link: https://www.econbiz.de/10013049209
This paper proposes a new panel data structural gravity approach for estimating the trade and welfare effects of Brexit … analysis and allows to obtain estimates and confidence intervals which are consistent with structural trade theory. Assuming …
Persistent link: https://www.econbiz.de/10012926575
This paper investigates the degree of persistence of market fear. Specifically, two different long-memory approaches (R/S analysis with the Hurst exponent method and fractional integration) are used to analyse persistence of the VIX index over the sample period 2004-2016, as well as some...
Persistent link: https://www.econbiz.de/10012951779
We estimate a Markow-switching dynamic factor model with three states based on six leading business cycle indicators for Germany preselected from a broader set using the Elastic Net soft-thresholding rule. The three states represent expansions, normal recessions and severe recessions. We show...
Persistent link: https://www.econbiz.de/10012955198
Despite the fact that many aggregates are nonlinear functions and the aggregation weights of many macroeconomic aggregates are time-varying, much of the literature on forecasting aggregates considers the case of linear aggregates with fixed, time-invariant aggregation weights. In this study a...
Persistent link: https://www.econbiz.de/10013144208
This paper examines several US monthly financial time series data using fractional integration and cointegration techniques. The univariate analysis based on fractional integration aims to determine whether the series are I(1) (in which case markets might be efficient) or alternatively I(d) with...
Persistent link: https://www.econbiz.de/10013126003
For forecasting and economic analysis many variables are used in logarithms (logs). In time series analysis this transformation is often considered to stabilize the variance of a series. We investigate under which conditions taking logs is beneficial for forecasting. Forecasts based on the...
Persistent link: https://www.econbiz.de/10012764276
direct forecasts when estimation error is a first-order concern, i.e. in small samples and for long forecast horizons …
Persistent link: https://www.econbiz.de/10012756285