Learning-by-Doing as a Propagation Mechanism

2002 ◽  
Vol 92 (5) ◽  
pp. 1498-1520 ◽  
Author(s):  
Yongsung Chang ◽  
Joao F Gomes ◽  
Frank Schorfheide
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Work Experience ◽  
Formal Model ◽  
Learning By Doing ◽  
Dynamic Stochastic General Equilibrium ◽  
Propagation Mechanism ◽  
Skill Accumulation ◽  
Dynamic Stochastic ◽  
Micro Level

This paper suggests that skill accumulation through past work experience, or “learning-by-doing” (LBD), can provide an important propagation mechanism in a dynamic stochastic general-equilibrium model, as the current labor supply affects future productivity. Our econometric analysis uses a Bayesian approach to combine micro-level panel data with aggregate time series. Formal model evaluation shows that the introduction of the LBD mechanism improves the model's ability to fit the dynamics of aggregate output and hours.

scholarly journals Business Cycles in Algerian Economy: A Bayesian DSGE Approach

2018 ◽  
Vol 2 (1) ◽  
pp. 72-100
Author(s):  
Abdelsalam BOUKHEROUFA
Keyword(s):  
Time Series ◽  
Business Cycles ◽  
Business Cycle ◽  
Equilibrium Model ◽  
Government Spending ◽  
Aggregate Demand ◽  
Dynamic Stochastic General Equilibrium ◽  
Business Cycle Fluctuations ◽  
Output Fluctuations ◽  
Dynamic Stochastic

The main objective of this paper is to highlight the most important shocks that drives the business cycles in the Algerian economy. Using Bayesian estimation techniques, we estimate a dynamic stochastic general equilibrium model (DSGE) using four time series of the Algerian macroeconomics. Through this estimated model, which succeeded in capturing the dynamics of the Algerian economy data, we found three main results: First, the main causes of business cycle fluctuations in the Algerian economy are aggregate demand shocks. Second, the of government spending shock play the most important role in output fluctuations. Third, empirical results show evidences of procyclical in government spending policies.

scholarly journals The Euler equation with habits and measurement errors: Estimates on Russian micro data

2016 ◽  
Vol 63 (4) ◽  
pp. 395-409 ◽  
Author(s):  
Irina Khvostova ◽  
Alexander Larin ◽  
Anna Novak
Keyword(s):  
Euler Equation ◽  
Measurement Errors ◽  
Generalized Method Of Moments ◽  
Dynamic Stochastic General Equilibrium ◽  
Dsge Models ◽  
Elasticity Of Intertemporal Substitution ◽  
Russian Economy ◽  
Lm Test ◽  
Dynamic Stochastic ◽  
Micro Level

This paper presents estimates of the consumption Euler equation for Russia. The estimation is based on micro-level panel data and accounts for the heterogeneity of agents? preferences and measurement errors. The presence of multiplicative habits is checked using the Lagrange multiplier (LM) test in a generalized method of moments (GMM) framework. We obtain estimates of the elasticity of intertemporal substitution and of the subjective discount factor, which are consistent with the theoretical model and can be used for the calibration and the Bayesian estimation of dynamic stochastic general equilibrium (DSGE) models for the Russian economy. We also show that the effects of habit formation are not significant. The hypotheses of multiplicative habits (external, internal, and both external and internal) are not supported by the data.

Bayesian Estimation of DSGE Models

2015 ◽  
Author(s):  
Edward P. Herbst ◽  
Frank Schorfheide
Keyword(s):  
Monte Carlo ◽  
Sequential Monte Carlo ◽  
Likelihood Function ◽  
Academic Research ◽  
Dynamic Stochastic General Equilibrium ◽  
Computational Techniques ◽  
Dsge Models ◽  
Monte Carlo Techniques ◽  
Dynamic Stochastic ◽  
Theoretical Foundations

Dynamic stochastic general equilibrium (DSGE) models have become one of the workhorses of modern macroeconomics and are extensively used for academic research as well as forecasting and policy analysis at central banks. This book introduces readers to state-of-the-art computational techniques used in the Bayesian analysis of DSGE models. The book covers Markov chain Monte Carlo techniques for linearized DSGE models, novel sequential Monte Carlo methods that can be used for parameter inference, and the estimation of nonlinear DSGE models based on particle filter approximations of the likelihood function. The theoretical foundations of the algorithms are discussed in depth, and detailed empirical applications and numerical illustrations are provided. The book also gives invaluable advice on how to tailor these algorithms to specific applications and assess the accuracy and reliability of the computations. The book is essential reading for graduate students, academic researchers, and practitioners at policy institutions.

Financial Reforms and Consumption Smoothing

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Martin Boileau ◽  
Tianxiao Zheng
Keyword(s):  
South Africa ◽  
South Korea ◽  
Consumer Credit ◽  
Dynamic Stochastic General Equilibrium ◽  
Consumption Smoothing ◽  
Empirical Literature ◽  
Lower Income ◽  
Financial Reforms ◽  
Collateral Constraint ◽  
Dynamic Stochastic

Abstract We study how financial reforms affect the extent of consumption smoothing in a dynamic stochastic general equilibrium model of an emerging economy. Consistent with the empirical literature and reform efforts in South Korea and South Africa, we emphasize the relation between consumer credit and durable purchases, and model reforms as the relaxation of the collateral constraint on lower income households. We find that the relaxation of the collateral constraint accounts for a substantial share of the decline in consumption smoothing experienced in South Korea and South Africa.

Interactive effects between monetary policy and fiscal policy based on dynamic stochastic general equilibrium model

2020 ◽  
pp. 1-12
Author(s):  
Ying Xie
Keyword(s):  
Monetary Policy ◽  
Fiscal Policy ◽  
General Equilibrium ◽  
Equilibrium Model ◽  
Control Policy ◽  
Dynamic Stochastic General Equilibrium ◽  
Economic Effects ◽  
Interactive Effects ◽  
Supply Side ◽  
Dynamic Stochastic

From the beginning to the end, monetary policy has focused too much on the control of the supply side. At present, the single supply-based monetary policy is ineffective. Therefore, it is urgent to change the current single direct supply-side regulation and control policy and replace it with a non-single and indirect control policy that combines supply and demand. Based on machine learning algorithms, this paper constructs a monetary policy analysis model based on dynamic stochastic general equilibrium methods to analyze the interactive effects of monetary policy and other policies. Moreover, this paper uses the dynamic stochastic general equilibrium model to simulate and analyze the economic effects of fiscal policy. In addition, this paper compares the economic effects of monetary policy and other policies and conducts verification and analysis through actual data. The obtained results show that the model constructed in this paper achieves the expected effect.

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