Suchergebnisse

Dynamic Stochastic General Equilibrium (DSGE) models are now considered attractive by the profession not only from the theoretical perspective but also from an empirical standpoint. As a consequence of this development, methods for diagnosing the fit of these models are being proposed and implemented. In this article we illustrate how the concept of statistical identification, that was introduced and used by Spanos [Spanos, Aris, 1990. The simultaneous-equations model revisited: Statistical adequacy and identification. Journal of Econometrics 44, 87–105] to criticize traditional evaluation methods of Cowles Commission models, could be relevant for DSGE models. We conclude that the recently proposed model evaluation method, based on the DSGE−VAR(λ), might not satisfy the condition for statistical identification. However, our application also shows that the adoption of a FAVAR as a statistically identified benchmark leaves unaltered the support of the data for the DSGE model and that a DSGE-FAVAR can be an optimal forecasting model.

Desarrollamos un modelo DSGE de la economía colombiana para evaluar el efecto de la política fiscal sobre el empleo informal y distribución del ingreso. El modelo recrea una economía pequeña y abierta, con la persistente desigualdad de ingresos, un alto grado de informalidad, y las diferentes posibilidades de intervención del gobierno. Este documento evalúa las consecuencias de los pagos de transferencia del gobierno a los hogares con ingresos más bajos. Encontramos que si bien los pagos de transferencias tienen un efecto positivo sobre la distribución del ingreso, su financiación requiere un ajuste en las finanzas públicas (reducir el gasto o aumentar los ingresos a través del uso de diversos impuestos), tienen efectos negativos sobre la economía en su conjunto. ; We develop a DSGE model of the Colombian economy to assess the effect of tax policy on informal employment and income distribution.The model recreates a small open economy, with persistent income inequality, a substantial degree of informality, and different possibilities of government intervention. This paper evaluates the consequences of government transfer payments to households with lower incomes. We find that although transfer payments have a positive effect on income distribution, financing them requires an adjustment in government finances (cut spending or increase revenue through the use of various taxes), have negative effects on the economic as a whole.

In this paper, we propose a DSGE model with the term structure of interest rates drawing on the framework introduced by Andrés et al. (2004) and Marzo et al. (2008). In particular, we reproduce segmentation in financial markets by introducing bonds of different maturities and bond adjustment costs non-zero at the steady state, introducing a structural liquidity frictions among bonds with different maturities: agents are assumed to pay a cost whenever they trade bonds. As a result, the model is able to generate a non-zero demand for bonds of different maturities, which become imperfect substitutes, due to differential liquidity conditions. The main properties of the model are analysed through both simulation and estimation exercises. The importance of the results are twofold. On one hand, the calibrated model is able to replicate the stylized facts regarding the yield curve and the term premium in the US over the period 1987:3-2011:3, without compromising its ability to match macro dynamics. On the other hand, the estimation, besides providing an empirical support to the theoretical setting, highlights the potentialities of the model to analyze the term premium in a microfounded macro framework. The results match very closely the behavior of actual yields, reflecting the recent activity of the Fed on longer maturities bonds.

In this article, we investigate the underlying driving dynamics behind house price variations in Turkey by estimating a dynamic stochastic general equilibrium (DSGE) model in which the housing market and collateral constraints are included. The model also analyses the interaction between macroeconomic variables and the housing market by making policy simulations under different loan-to-value (LTV) ratios, which are used as a housing market-specific economic policy tool. The model is extended by including the traditional Taylor rule with house prices for representing monetary policy. Our findings show that house prices in Turkey are largely explained by housing preference shocks. Besides, we find that monetary policy shock plays a small role in determining the variables of the housing market in the short-term period. However, the magnitude of the impact of housing market shocks on the rest of the economy depends on the LTV ratios. The higher the LTV ratio, the higher are the effects of the government's housing policy instrument for stabilising the housing market on real macroeconomic variables such as consumption and output in Turkey. Finally, our findings show that the fluctuations in house prices have not played a substantial role in the monetary policy reaction function of Turkey. JEL Codes: E32, E52, E44, E51, R31

This paper estimates a medium-scale open economy DSGE model for Germany and therest of the Euro Area (REA). The parameter estimates indicate that there is a modestdegree of structural heterogeneity between Germany and the rest of the Euro Area. Inparticular, (i) the private sector in Germany tends to adjust its capital stock faster thanits counterpart in the REA, (ii) the innovations to government spending as well as thoseto the degree of competition in goods markets are relatively more volatile in Germanyand (iii) nominal prices and wages appear to be slightly more flexible in Germany thanin the REA. A comparison based on marginal likelihoods shows that the DSGE modelfits the observable macroeconomic time series similarly well as unrestricted BayesianVARs (BVARs) estimated on the same data set.