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Deficit/ Surplus, Unemployment Rate, Inflation and others. We forecast the macroeconomic variables post 2012 using ARIMA … deficit. ARIMA models indicate that with the continuance of present government’s policies, budgetary deficit is estimated to …
Persistent link: https://www.econbiz.de/10011260661
This paper focuses on the core inflation measurement in Italy using univariate (national-level inflation) vs. multivariate (city-level inflation) models during the period 1970–2006. We derive algebraic expressions that allow comparison between the reduced form parameters of univariate and...
Persistent link: https://www.econbiz.de/10009293421
We present a unified and up-to-date overview of temporal aggregation techniques for univariate and multivariate time series models explaining in detail how these techniques are employed. Some empirical applications illustrate the main issues.
Persistent link: https://www.econbiz.de/10005609326
In this paper we propose a unified framework to analyse contemporaneous and temporal aggregation of a widely employed class of integrated moving average (IMA) models. We obtain a closed-form representation for the parameters of the contemporaneously and temporally aggregated process as a...
Persistent link: https://www.econbiz.de/10010741756
and our analysis is based on linear models, ARIMA and bivariate transfer functions and restricted VAR. Forecasting … find that the bivariate models improve upon the forecasts of the ARIMA model while for models based on monthly data the … ARIMA model has almost always better performance. In choosing between the two bivariate models on the basis of RMSEs, our …
Persistent link: https://www.econbiz.de/10005582750
We create a new weekly index of retail trade that accurately predicts the U.S. Census Bureau's Monthly Retail Trade Survey (MRTS). The index's weekly frequency provides an early snapshot of the MRTS and allows for a more granular analysis of the aggregate consumer response to fast-moving events...
Persistent link: https://www.econbiz.de/10012653038
Linear rational-expectations models (LREMs) are conventionally "forwardly" estimated as follows. Structural coefficients are restricted by economic restrictions in terms of deep parameters. For given deep parameters, structural equations are solved for "rational-expectations solution" (RES)...
Persistent link: https://www.econbiz.de/10013471283
Linear rational-expectations models (LREMs) are usually "forwardly" estimated. Structural coefficients are restricted in terms of deep parameters. For given deep parameters, structural equations are solved for rational-expectations solution (RES) eqs. that determine endogenous variables. For...
Persistent link: https://www.econbiz.de/10014377375
In this study, we build two forecasting models to predict inflation Harmonised Index of Consumer Prices (HICP) for the Netherlands and for the euro area. The models provide point forecasts and prediction intervals for both the components of the HICP and the aggregated HICP-index itself. Both...
Persistent link: https://www.econbiz.de/10012776404
We create a new weekly index of retail trade that accurately predicts the U.S. Census Bureau's Monthly Retail Trade Survey (MRTS). The index's weekly frequency provides an early snapshot of the MRTS and allows for a more granular analysis of the aggregate consumer response to fast-moving events...
Persistent link: https://www.econbiz.de/10013236350