scholarly journals A NOTE ON AN EXTENSION OF A CLASS OF SOLUTIONS TO DYNAMIC PROGRAMMING PROBLEMS ARISING IN ECONOMIC GROWTH

2011 ◽  
Vol 16 (3) ◽  
pp. 472-476 ◽  
Author(s):  
Jürgen Antony ◽  
Alfred Maußner
Keyword(s):  
Economic Growth ◽  
Dynamic Programming ◽  
General Equilibrium ◽  
Dynamic Stochastic General Equilibrium ◽  
Dsge Models ◽  
Dsge Model ◽  
Savings Rate ◽  
Dynamics And Control ◽  
Dynamic Stochastic ◽  
And Control

This note extends the findings of Benhabib and Rusticchini [Journal of Economic Dynamics and Control 18, 807–813 (1994)], who provide a class of dynamic stochastic general equilibrium (DSGE) models whose solution is characterized by a constant savings rate. We show that this class of models may be interpreted as a standard–representative agent DSGE model with costly adjustment of capital.

scholarly journals Constructing a Small-Region DSGE Model

2013 ◽  
Vol 2013 ◽  
pp. 1-9
Author(s):  
Kenichi Tamegawa
Keyword(s):  
General Equilibrium ◽  
Interest Rates ◽  
Numerical Simulations ◽  
National Economy ◽  
Regional Economy ◽  
Small Region ◽  
Dynamic Stochastic General Equilibrium ◽  
Dsge Models ◽  
Dsge Model ◽  
Dynamic Stochastic

This paper constructs a tractable dynamic stochastic general equilibrium (DSGE) model of a regional economy that is considered small because it does not affect its national economy. To examine properties of our small-region DSGE model, we conduct several numerical simulations. Notably, fiscal expansion in our model is larger than that in standard DSGE models. This is because the increase in regional output does not raise interest rates, and this leads to the crowding-in effects of investment.

scholarly journals The Public Expenditures and Economic Growth: DSGE model for Bosnia and Herzegovina

2016 ◽  
Vol 6 (1) ◽  
pp. 68
Author(s):  
Nikolina Bošnjak
Keyword(s):  
Economic Growth ◽  
General Equilibrium ◽  
Bosnia And Herzegovina ◽  
Open Economy ◽  
Small Open Economy ◽  
Main Tool ◽  
Public Expenditures ◽  
Dsge Models ◽  
Dsge Model ◽  
Dynamic Stochastic

The DSGE (Dynamic Stochastic General Equilibrium) methodology attempts to explain the behavior of aggregate economic phenomena, such as economic growth, business cycle, and the effects of monetary and fiscal policy, using macroeconomic models derived from microeconomic foundations. DSGE models study the economy evolution (dynamics) over time. They take into consideration the fact that economy may be affected with random (stochastic) shocks. Still, they include all markets in the economy and assume that those markets balance out rapidly (general equilibrium). DSGE models have become the main tool of macroeconomic analysis, and until now, a huge number of different DSGE models have been developed. They are used for forecasting, different economic policies analysis and giving policy advices. Due to data scarcity and lack of knowledge, indevelopment and many other reasnos, until now there was no application of DSGE models to Bosnia and Herzegovina case. That is why we were motivated to calibrate a small size DSGE model for Bosnia and Herzegovina. In this research we will calibrate a small open economy DSGE model for Bosnia and Herzegovina and use its results to give some advices for economic growth of Bosnia and Herzegovina improvement. The special attention will be given to Public expenditures and TFP influence on Bosnian macroeconomic variables.

scholarly journals A DSGE-VAR Analysis for Tourism Development and Sustainable Economic Growth

2020 ◽  
Vol 12 (9) ◽  
pp. 3635
Author(s):  
David Alaminos ◽  
Ana León-Gómez ◽  
José Ramón Sánchez-Serrano
Keyword(s):  
Economic Growth ◽  
Tourism Development ◽  
Dynamic Stochastic General Equilibrium ◽  
Long Term Effects ◽  
Dsge Model ◽  
External Effects ◽  
Dynamic Stochastic ◽  
Tourist Demand ◽  
Sustainable Economic Growth

This paper aims to provide a better basis for understanding the transmission connection between tourism development and sustainable economic growth in the empirical scenario of International countries. In this way, we have applied the dynamic stochastic general equilibrium (DSGE) model in different countries in order to check the power of generalization of this framework to study the tourism development. Also, we extend this model to obtain the long-term effects of tourism development with confidence intervals. The influence of tourism development on sustainable economic growth is proved by our results and show the indirect consequences between tourist activity and other industries produced through the external effects of investment and human capital and public sector. Our study confirms that the DSGE technique can be a generalized model for the analysis of tourism development and, especially, can improve previous precision results with the DSGE-VAR model, where vector autoregression (VAR) is introduced in the DSGE model. The simulation results reveal even more than when the productivity of the economy in general enhances, as the current tourist demand increases in greater proportion than more than the national tourism demand. For its part, the consumption of domestic tourism rises more than the consumption of inbound tourism if the productivity of the tourism production enhances, but non-tourism prices decrease at a slower rate and tourism investment needs a longer time to recover to what is established.

ASSET PRICING IN DYNAMIC STOCHASTIC GENERAL EQUILIBRIUM MODELS WITH INDETERMINACY

2007 ◽  
Vol 12 (1) ◽  
pp. 50-71 ◽  
Author(s):  
NATALIA GERSHUN ◽  
SHARON G. HARRISON
Keyword(s):  
Asset Pricing ◽  
General Equilibrium ◽  
Returns To Scale ◽  
Dynamic Stochastic General Equilibrium ◽  
Increasing Returns ◽  
Dsge Model ◽  
Increasing Returns To Scale ◽  
Local Indeterminacy ◽  
Dynamic Stochastic ◽  
The One

We explore asset pricing in the context of the one-sector Benhabib-Farmer-Guo (BFG) model with increasing returns to scale in production and compare our results with financial implications of the standard dynamic stochastic general equilibrium (DSGE) model. Our main goal is to determine the effects of local indeterminacy and the presence of sunspot shocks on asset pricing. We find that the BFG model does not adequately represent key stylized facts of U.S. capital markets and does not improve on the asset-pricing results obtained in the standard DSGE model.

scholarly journals On DSGE Models

2018 ◽  
Vol 32 (3) ◽  
pp. 113-140 ◽  
Author(s):  
Lawrence J. Christiano ◽  
Martin S. Eichenbaum ◽  
Mathias Trabandt
Keyword(s):  
Financial Crisis ◽  
General Equilibrium ◽  
Policy Change ◽  
Great Recession ◽  
Relative Strength ◽  
Dynamic Stochastic General Equilibrium ◽  
Dsge Models ◽  
The Great Recession ◽  
Dynamic Stochastic ◽  
Different Parts

The outcome of any important macroeconomic policy change is the net effect of forces operating on different parts of the economy. A central challenge facing policymakers is how to assess the relative strength of those forces. Economists have a range of tools that can be used to make such assessments. Dynamic stochastic general equilibrium (DSGE) models are the leading tool for making such assessments in an open and transparent manner. We review the state of mainstream DSGE models before the financial crisis and the Great Recession. We then describe how DSGE models are estimated and evaluated. We address the question of why DSGE modelers—like most other economists and policymakers—failed to predict the financial crisis and the Great Recession, and how DSGE modelers responded to the financial crisis and its aftermath. We discuss how current DSGE models are actually used by policymakers. We then provide a brief response to some criticisms of DSGE models, with special emphasis on criticism by Joseph Stiglitz, and offer some concluding remarks.

Macroeconomic Risks and Asset Pricing: Evidence from a Dynamic Stochastic General Equilibrium Model

2019 ◽  
Vol 65 (8) ◽  
pp. 3585-3604 ◽  
Author(s):  
Erica X. N. Li ◽  
Haitao Li ◽  
Shujing Wang ◽  
Cindy Yu
Keyword(s):  
Asset Pricing ◽  
General Equilibrium ◽  
Factor Model ◽  
Dynamic Stochastic General Equilibrium ◽  
Dsge Model ◽  
Cross Sectional ◽  
Dynamic Stochastic ◽  
Monetary Policy Shock ◽  
Macroeconomic Risks

We study the relation between macroeconomic fundamentals and asset pricing through the lens of a dynamic stochastic general equilibrium (DSGE) model. We provide full-information Bayesian estimation of the DSGE model using macroeconomic variables and extract the time series of four latent fundamental shocks of the model: neutral technology shock, investment-specific technological shock, monetary policy shock, and risk shock. Asset pricing tests show that our model-implied four-factor model can explain a number of prominent cross-sectional return spreads: size, book-to-market, investment, earnings, and long-term reversal. The investment-specific technological shock and risk shock play the most important role in explaining those return spreads. This paper was accepted by Neng Wang, finance.

scholarly journals Monetary Policy Analysis with Potentially Misspecified Models

2009 ◽  
Vol 99 (4) ◽  
pp. 1415-1450 ◽  
Author(s):  
Marco Del Negro ◽  
Frank Schorfheide
Keyword(s):  
Policy Analysis ◽  
Recent Literature ◽  
Model Misspecification ◽  
Dynamic Stochastic General Equilibrium ◽  
Dsge Models ◽  
Estimation Of Parameters ◽  
Dsge Model ◽  
Misspecified Models ◽  
Trade Offs ◽  
Dynamic Stochastic

Policy analysis with potentially misspecified dynamic stochastic general equilibrium (DSGE) models faces two challenges: estimation of parameters that are relevant for policy trade-offs, and treatment of the deviations from the cross-equation restrictions. Using post-1982 US data, we study the robustness of the policy prescriptions from a state-of-the-art DSGE model with respect to two approaches to model misspecification pursued in the recent literature: (i) adding shocks to the DSGE model and/or generalizing the processes followed by these shocks; and (ii) explicit modeling of deviations from cross-equation restrictions (DSGE-VAR). (JEL C51, E13, E43, E52, E58)

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