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This paper evaluates the quality of survey forecasts, their accuracy and unbiasedness, and their overall consistency. The paper also tries to find out whether the relationships between economic variables are the same in survey data and in the actual data. In other words we analyze whether the...
Persistent link: https://www.econbiz.de/10011140924
spread in a real-time forecasting exercise. However, the predictive ability of the mortgage spread varies over time. …
Persistent link: https://www.econbiz.de/10011109115
This paper estimates and forecasts U.S. business cycle turning points with state-level data. The probabilities of recession are obtained from univariate and multivariate regime-switching models based on a pairwise combination of national and state-level data. We use two classes of combination...
Persistent link: https://www.econbiz.de/10011111725
Forecasting future inflation and nowcasting contemporaneous inflation are difficult. We propose a new and parsimonious …
Persistent link: https://www.econbiz.de/10011114917
This paper investigates the accuracy of point and density forecasts of four DSGE models for inflation, output growth and the federal funds rate. Model parameters are estimated and forecasts are derived successively from historical U.S. data vintages synchronized with the Fed’s Greenbook...
Persistent link: https://www.econbiz.de/10009422087
forecasting accuracy within factor modelling framework. Nested data means disaggregated data or sub-components of aggregated … mean square error is employed as the standard tool to measure forecasting accuracy. According to this empirical study we … enhance Latvian GDP forecasting accuracy. The efficiency gain improving forecasts is about 0.15-0.20 percentage points of year …
Persistent link: https://www.econbiz.de/10009643211
This paper compares the performance of different forecasting models of California house prices. Multivariate, theory … theoretical economic relationships into empirical forecasting models. …
Persistent link: https://www.econbiz.de/10008775978
In this paper we present a methodology which can help to improve the assessment of the current economic situation. We propose an approach which combines multivariate single equations to forecast the monthly growth rate of industrial production with a density forecast. This allows to estimate the...
Persistent link: https://www.econbiz.de/10010625645
-autoregressive model is used to forecast growth under various scenarios. The paper includes a comparison between the forecasting …
Persistent link: https://www.econbiz.de/10010627319
-on-quarter growth rate in Switzerland. It also assesses the informational content of macroeconomic data releases for forecasting of the … for GDP forecasting, although their ranking depends on the underlying transformation of monthly indicators from which the …
Persistent link: https://www.econbiz.de/10010580967