On the predictability of time-varying VAR and DSGE models

نویسندگان

  • Stelios Bekiros
  • Alessia Paccagnini
چکیده

Over the last few years, there has been a growing interest in DSGE modelling for predicting macroeconomic ‡uctuations and conducting quantitative policy analysis. Hybrid DSGE models have become popular for dealing with some of the DSGE misspeci…cations as they are able to solve the tradeo¤ between theoretical coherence and empirical …t. However, these models are still linear and they do not consider time-variation for parameters. The time-varying properties in VAR or DSGE models capture the inherent nonlinearities and the adaptive underlying structure of the economy in a robust manner. In this paper, we present a state space time-varying parameter VAR model. Moreover, we focus on the DSGE-VAR that combines a micro-founded DSGE model with the ‡exibility of a VAR framework. All the aforementioned models as well simple DSGEs and Bayesian VARs are used in a comparative investigation of their out-of-sample predictive performance regarding the US economy. The results indicate that while in general the classical VAR and BVARs provide with good forecasting results, in many cases the TVP-VAR and the DSGE-VAR outperform the other models. Keywords Hybrid DSGE Time-varying VAR Kalman …lter Bayesian VAR Forecasting JEL Classi…cation C11 C15 C32 S. Bekiros European University Institute (EUI), Department of Economics, Via della Piazzuola 43 I50133, Florence, Italy Tel.: +39-055-4685-916 Fax: +39-055-4685-902 E-mail: [email protected] A. Paccagnini Università degli Studi di Milano-Bicocca, Department of Economics, Piazza Ateneo Nuovo 1, 20126 Milano, Italy and European University Institute (EUI), Max Weber Programme Via delle Fontanelle 10, I-50014 Florence, Italy E-mail: [email protected]

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Investigating the Impact of Time-varying Volatility of Macroeconomic Indices on the Predictability of Optimal Stock Portfolio Return in Tehran Stock Exchange

In this study, 3 models of Time-Varying Parameters (TVP), Dynamic Model Selection (DMS) and Dynamic Model Averaging (DMA) and a comparison with the Ordinary Least Squares (OLS) method in MATLAB in the time period 2003-2013 (with data on a monthly basis) are discussed. In the present study, the variables of unofficial exchange rate changes, interest rate changes and inflation in oil price foreca...

متن کامل

Investigating the Impact of Time-varying Volatility of Macroeconomic Indices on the Predictability of Optimal Stock Portfolio Return in Tehran Stock Exchange

In this study, 3 models of Time-Varying Parameters (TVP), Dynamic Model Selecting (DMS) and Dynamic Model Averaging (DMA) and their comparison via the Ordinary Least Squares (OLS) method in MATLAB in the time period 2003-2013 (monthly) are discussed. In the present study the variables of unofficial exchange rate changes, interest rate changes and inflation oil price forecast returns for stocks ...

متن کامل

The relationship between DSGE and VAR models

This chapter reviews the literature on the econometric relationship between DSGE and VAR models from the point of view of estimation and model validation. The mapping between DSGE and VAR models is broken down into three stages: 1) from DSGE to statespace model; 2) from state-space model to VAR(1); 3) from VAR(1) to nite order VAR. The focus is on discussing what can go wrong at each step of th...

متن کامل

The Misspecification of Expectations in New Keynesian Models: A DSGE-VAR Approach

This paper tests the ability of popular New Keynesian models, which are traditionally used to study monetary policy and business cycles, to match the data regarding a key channel for monetary transmission: the dynamic interactions between macroeconomic variables and their corresponding expectations. In the empirical analysis, we exploit direct data on expectations from surveys. To explain the j...

متن کامل

Marginalized Predictive Likelihood Comparisons of Linear Gaussian State-Space Models with Applications to DSGE, DSGE-VAR, and VAR Models

The predictive likelihood is useful for ranking models in forecast comparison exercises using Bayesian inference. We discuss how it can be estimated, by means of marginalization, for any subset of the observables in linear Gaussian state-space models. We compare macroeconomic density forecasts for the euro area of a DSGE model to those of a DSGE-VAR, a BVAR, and a multivariate random walk over ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017