Results 21 to 30 of about 92,205 (30)
Some of the next articles are maybe not open access.
What Can Bayesian Inference Do for Accounting Research?
Journal of Financial Reporting, 2023Bayesian statistics is a framework for combining new data with existing forms of information to yield more precise inferences than are possible using the data alone. Its greatest practical advantages are the flexibility it offers in incorporating prior
H. Schütt
semanticscholar +1 more source
Productivity Shock and Labour Input: Evidence from Correlated Unobserved Component Model
South Asian Journal of Macroeconomics and Public Finance, 2023This note assesses the relationship between labour productivity and employment in the framework of the unobserved component model as well as the vector autoregressive model.
Jitender Singh, Arup Mitra
semanticscholar +1 more source
Social Science Research Network, 2016
The Bayesian Estimation, Analysis and Regression toolbox (BEAR) is a comprehensive (Bayesian) (Panel) VAR toolbox for forecasting and policy analysis. BEAR is a MATLAB based toolbox which is easy for non-technical users to understand, augment and adapt ...
Alistair Dieppe +2 more
semanticscholar +1 more source
The Bayesian Estimation, Analysis and Regression toolbox (BEAR) is a comprehensive (Bayesian) (Panel) VAR toolbox for forecasting and policy analysis. BEAR is a MATLAB based toolbox which is easy for non-technical users to understand, augment and adapt ...
Alistair Dieppe +2 more
semanticscholar +1 more source
Revealing Priors from Posteriors
Social Science Research Network, 2022A Bayesian typically uses data and a prior to produce a posterior. We shall follow the opposite route, using data and the posterior information to reveal the prior.
J. Magnus +2 more
semanticscholar +1 more source
Greek GDP Forecasting Using Bayesian Multivariate Models
Social Science Research NetworkBuilding on a proper selection of macroeconomic variables for constructing a Gross Domestic Product (GDP) forecasting multivariate model (Kazanas, 2017), this paper evaluates whether alternative Bayesian model specifications can provide greater ...
Zacharias G. Bragoudakis +1 more
semanticscholar +1 more source
Recent Developments in DSGE Modelling: Beyond FIRE
South Asian Journal of Macroeconomics and Public FinanceThis survey focuses on the standard assumption in DSGE models: rational expectations (RE) with perfect information (PI) aka full information (FI)—hence FIRE.
Paul Levine +3 more
semanticscholar +1 more source
The American Economic Review
This paper studies which misspecified models are likely to persist when decision-makers compare them with competing models. The main result characterizes such models based on two features that can be derived from primitives: The model’s asymptotic ...
Cuimin Ba
semanticscholar +1 more source
This paper studies which misspecified models are likely to persist when decision-makers compare them with competing models. The main result characterizes such models based on two features that can be derived from primitives: The model’s asymptotic ...
Cuimin Ba
semanticscholar +1 more source
Euro area real-time density forecasting with financial or labor market frictions
International Journal of Forecasting, 2019We compare real-time density forecasts for the euro area using three DSGE models. The benchmark is the Smets-Wouters model and its forecasts of real GDP growth and inflation are compared with those from two extensions.
P. Mcadam, A. Warne
semanticscholar +1 more source
International Business Cycles: World, Region, and Country-Specific Factors
, 2003M. Ayhan Kose +6 more
semanticscholar +1 more source
More than Politics: Ability and Ideology in the British Appellate Committee
, 2016Matias Iaryczower, Gabriel Katz
semanticscholar +1 more source