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We study 30 vintages of FRB/US, the principal macro model used by the Federal Reserve Board staff for forecasting and … compare these optimal rules against plausible alternatives. Model uncertainty is shown to be a substantial problem; the … rules are robust to model uncertainty may be an overly sanguine conclusion. …
Persistent link: https://www.econbiz.de/10005662266
In this paper, we show how an investor can incorporate uncertainty about expected returns when choosing a mean … investor is neutral to uncertainty, we consider the case where the investor has multiple priors and is averse to uncertainty … model aversion to uncertainty via a minimization over the set of priors. The multi-prior model has several attractive …
Persistent link: https://www.econbiz.de/10005791415
In this paper, we show how an investor can incorporate uncertainty about expected returns when choosing a mean … investor is neutral to uncertainty, we consider the case where the investor has multiple priors and is averse to uncertainty … model aversion to uncertainty via a minimization over the set of priors. The multi-prior model has several attractive …
Persistent link: https://www.econbiz.de/10005124485
possibility of model misspecification. This work is motivated by the difficulty in estimating precisely the probability law for …
Persistent link: https://www.econbiz.de/10005504745
, ultimate lenders and financial intermediaries. The model is used to investigate the impact of uncertainty about the likelihood … between risk and uncertainty is implemented by applying the Gilboa-Schmeidler maxmin with multiple priors framework to lenders …' beliefs about the probability of bailout. Events like Lehman's collapse are conceived of as 'black swan' events that led …
Persistent link: https://www.econbiz.de/10009144737
range of specific outcomes, allowing us to measure uncertainty, assess its driving forces, and compare this measure of … uncertainty with the dispersion of point-estimates among individual forecasters (a measure of disagreement). We also assess the … accuracy of market-generated probability density forecasts. A consistent theme is that few of the behavioural anomalies present …
Persistent link: https://www.econbiz.de/10005656457
parameters. When the forecasting model admits only normally-distributed outcomes, we find small, acyclical changes in uncertainty …A fruitful emerging literature reveals that shocks to uncertainty can explain asset returns, business cycles and … financial crises. The literature equates uncertainty shocks with changes in the variance of an innovation whose distribution is …
Persistent link: https://www.econbiz.de/10011084011
A hallmark of modern labour economics is the close interplay between the development of theory, data sources and … economics of UI has been a very active research area over the past 25 years or so. New theoretical approaches, in particular job …
Persistent link: https://www.econbiz.de/10004967993
This paper is concerned with methods for analysing spatial data. After initial discussion on the nature of spatial data, including the concept of randomness, we focus most of our attention on linear regression models that involve interactions between agents across space. The introduction of...
Persistent link: https://www.econbiz.de/10011084195
forecasting structure to time series models and their forward-looking dynamics, which consists of expected values of future … their forecasting ability. …
Persistent link: https://www.econbiz.de/10011084549