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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

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

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

Kuzin, Vladimir; Marcellino, Massimiliano; Schumacher, … - In: International journal of forecasting 27 (2011) 2, pp. 529-542

Persistent link: https://www.econbiz.de/10009247409

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

Empirical simultaneous prediction regions for path-forecasts

Jordà, Òscar; Knüppel, Malte; Marcellino, Massimiliano - In: International journal of forecasting 29 (2013) 3, pp. 456-468

Persistent link: https://www.econbiz.de/10009787034

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

Markov-switching mixed-frequency VAR models

Foroni, Claudia; Guérin, Pierre; Marcellino, Massimiliano - In: International journal of forecasting 31 (2015) 3, pp. 692-711

Persistent link: https://www.econbiz.de/10011474529

On economic evaluation of directional forecasts

Blaskowitz, Oliver Jim; Herwartz, Helmut - In: International journal of forecasting 27 (2011) 4, pp. 1058-1065

Persistent link: https://www.econbiz.de/10009316915