Showing 1 - 7 of 7
We aim at modelling fat-tailed densities whose distributions are unknown but are potentially asymmetric. In this context, the standard normality assumption is not appropriate.In order to make as few distributional assumptions as possible, we use a non-parametric algorithm to model the center of...
Persistent link: https://www.econbiz.de/10005417570
interesting feature of such forecasts is their calibration, or the match between predicted probabilities and actual outcome … probabilities. Calibration has been evaluated in the past by grouping probability forecasts into discrete categories. Here we show … calibration error in a number of economic applications including recession and inflation prediction, using both forecasts made and …
Persistent link: https://www.econbiz.de/10005100636
We consider the problem of assessing the uncertainty of calibrated parameters in computable general equilibrium (CGE) models through the construction of confidence sets (or intervals) for these parameters. We study two different setups under which this can be done. The first one extends earlier...
Persistent link: https://www.econbiz.de/10005100806
target inflation rate and 2.5% respectively.) Unlike earlier work on these forecasts, we measure both their calibration and … prévisions, nous gaugeons leur calibration aussi bien que leur résolution, en donnant des tests formels et des interprétations …
Persistent link: https://www.econbiz.de/10005034429
Time series are demeaned when sample autocorrelation functions are computed. By the same logic it would seem appealing … to remove seasonal means from seasonal time series before computing sample autocorrelation functions. Yet, standard … series are seasonally demeaned has very important consequences on the asymptotic behavior of autocorrelation functions …
Persistent link: https://www.econbiz.de/10005100761
coefficients d'autocorrélation : bornes exponen-tielles, bornes de type Eaton, bornes de Chebyshev et bornes de Berry … la performance des bornes et comparons celle-ci à celle de tests d'autocorrélation traditionnels. Les procédures …
Persistent link: https://www.econbiz.de/10005100838
In this paper, we develop finite-sample inference procedures for stationary and nonstationary autoregressive (AR) models. The method is based on special properties of Markov processes and a split-sample technique. The results on Markovian processes (intercalary independence and truncation) only...
Persistent link: https://www.econbiz.de/10005100872