Showing 1 - 7 of 7
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
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
This paper develops the method of local instrumental variables for models with multiple, unordered treatments when treatment choice is determined by a nonparametric version of the multinomial choice model. Responses to interventions are permitted to be heterogeneous in a general way and agents...
Persistent link: https://www.econbiz.de/10003870351
The recent literature on instrumental variables (IV) features models in which agents sort into treatment status on the basis of gains from treatment as well as on baseline-pretreatment levels. Components of the gains known to the agents and acted on by them may not be known by the observing...
Persistent link: https://www.econbiz.de/10003899921
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
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
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