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Long-run links among money, prices, and output : world-wide evidence

Herwartz, Helmut; Reimers, Hans-Eggert - 2001

analyse this topic by means of a P-star model. Based on the quantity theory of money, this approach explains inflation via a …. Moreover, parameter restrictions for the long-run relationships implied by the monetary theory are tested. Country specific P … Preisniveau und dem realen Output testet. Weiterhin werden die Parameterrestriktionen, die sich durch die monet¨are Theorie …

Persistent link: https://www.econbiz.de/10011419407

Pooling versus model selection for nowcasting with many predictors : an application to German GDP

Kuzin, Vladimir; Marcellino, Massimiliano; Schumacher, … - 2009

This paper discusses pooling versus model selection for now- and forecasting in the presence of model uncertainty with large, unbalanced datasets. Empirically, unbalanced data is pervasive in economics and typically due to different sampling frequencies and publication delays. Two model classes...

Persistent link: https://www.econbiz.de/10003811129

Real-time forecasting of GDP based on a large factor model with monthly and quarterly data

Schumacher, Christian (contributor); … - 2006

This paper discusses a factor model for estimating monthly GDP using a large number of monthly and quarterly time series in real-time. To take into account the different periodicities of the data and missing observations at the end of the sample, the factors are estimated by applying an EM...

Persistent link: https://www.econbiz.de/10003383602

Empirical simultaneous confidence regions for path-forecasts

Jordà, Òscar; Knüppel, Malte; Marcellino, Massimiliano - 2010

Measuring and displaying uncertainty around path-forecasts, i.e. forecasts made in period T about the expected trajectory of a random variable in periods T+1 to T+H is a key ingredient for decision making under uncertainty. The probabilistic assessment about the set of possible trajectories that...

Persistent link: https://www.econbiz.de/10003962215

U-MIDAS: MIDAS regressions with unrestricted lag polynomials

Foroni, Claudia; Marcellino, Massimiliano; Schumacher, … - 2011

Mixed-data sampling (MIDAS) regressions allow to estimate dynamic equations that explain a low-frequency variable by high-frequency variables and their lags. When the difference in sampling frequencies between the regressand and the regressors is large, distributed lag functions are typically...

Persistent link: https://www.econbiz.de/10009490826

Testing for structural breaks in dynamic factor models

Breitung, Jörg; Eickmeier, Sandra - 2009

From time to time, economies undergo far-reaching structural changes. In this paper we investigate the consequences of structural breaks in the factor loadings for the specification and estimation of factor models based on principal components and suggest test procedures for structural breaks....

Persistent link: https://www.econbiz.de/10003815484

MIDAS versus mixed-frequency VAR : nowcasting GDP in the euro area

Kuzin, Vladimir; Marcellino, Massimiliano; Schumacher, … - 2009

This paper compares the mixed-data sampling (MIDAS) and mixed-frequency VAR (MF-VAR) approaches to model speci.cation in the presence of mixed-frequency data, e.g., monthly and quarterly series. MIDAS leads to parsimonious models based on exponential lag polynomials for the coeØ cients, whereas...

Persistent link: https://www.econbiz.de/10003815492

Dynamic factor models

Breitung, Jörg (contributor); Eickmeier, Sandra (contributor) - 2005

Factor models can cope with many variables without running into scarce degrees of freedom problems often faced in a regression-based analysis. In this article we review recent work on dynamic factor models that have become popular in macroeconomic policy analysis and forecasting. By means of an...

Persistent link: https://www.econbiz.de/10003227088