Government Spending in a Simple Model of Real Business Cycle

2004 ◽  
Author(s):  
Vladimir Kühl Teles ◽  
Fernando Antônio Ribeiro Soares
Keyword(s):  
Simple Model ◽  
Business Cycle ◽  
Government Spending ◽  
Real Business Cycle

scholarly journals Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?

1999 ◽  
Vol 89 (1) ◽  
pp. 249-271 ◽  
Author(s):  
Jordi Galí
Keyword(s):  
Simple Model ◽  
Business Cycles ◽  
Business Cycle ◽  
Monopolistic Competition ◽  
Real Business Cycle ◽  
Technology Shocks ◽  
Aggregate Fluctuations ◽  
G7 Countries ◽  
Technology Shock ◽  
The Business Cycle

I estimate a decomposition of productivity and hours into technology and non-technology components. Two results stand out: (a) the estimated conditional correlations of hours and productivity are negative for technology shocks, positive for nontechnology shocks; (b) hours show a persistent decline in response to a positive technology shock. Most of the results hold for a variety of model specifications, and for the majority of G7 countries. The picture that emerges is hard to reconcile with a conventional real-business-cycle interpretation of business cycles, but is shown to be consistent with a simple model with monopolistic competition and sticky prices. (JEL E32, E24)

Forming Sources of Long-run Growth: How to Understand Them?

2014 ◽  
pp. 4-20 ◽  
Author(s):  
G. Idrisov ◽  
S. Sinelnikov-Murylev
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Economic Policy ◽  
Business Cycle ◽  
Capital Markets ◽  
Productivity Growth ◽  
Government Spending ◽  
Long Run ◽  
Accelerate Growth ◽  
Budget Institutions

The paper analyzes the inconsequence and problems of Russian economic policy to accelerate economic growth. The authors consider three components of growth rate (potential, Russian business cycle and world business cycle components) and conclude that in order to pursue an effective economic policy to accelerate growth, it has to be addressed to the potential (long-run) growth component. The main ingredients of this policy are government spending restructuring and budget institutions reform, labor and capital markets reforms, productivity growth.

Government spending shocks and economic growth: additional evidence from cyclical behavior of fiscal policy

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Olumide Olusegun Olaoye ◽  
Ukafor Ukafor Okorie ◽  
Oluwatosin Odunayo Eluwole ◽  
Mahmood Butt Fawwad
Keyword(s):  
Economic Growth ◽  
Business Cycle ◽  
Government Spending ◽  
Generalized Method Of Moments ◽  
The State ◽  
Fiscal Policies ◽  
Asymmetric Effect ◽  
Content Type ◽  
Spending Shocks ◽  
The Business Cycle

PurposeThis study examines the asymmetric effect of government spending on economic growth in Nigeria over the period 1980–2017. Specifically, this study investigates whether the response of economic growth to government spending shocks differs according to the nature of shocks on them. In addition, the authors examine whether the stabilizing effects of fiscal policies are dependent on the state of the business cycle.Design/methodology/approachThe study adopts the linear fiscal reaction function in addition to the nonlinear regression model of Hatemi-J (2011, 2012), Granger and Yoon (2002), which allows us to separate negative shocks from positive shocks to government spending. Similarly, the authors adopt the generalized method of moments (GMM) techniques of Hansen (1982) to account for simultaneity and endogeneity problems inherent in dynamic model.FindingsThe authors’ findings reveal that there is evidence of asymmetry in the government spending–economic growth nexus in Nigeria over the period of study. Specifically, the authors find that the response of economic growth to government spending shocks differs according to the nature of shocks on them. More specifically, the study established that the stabilizing effects of fiscal policies are dependent on the state of the business cycle.Originality/valueUnlike the traditional method of modeling asymmetry, which adopts the simple inclusion of a squared government spending term or by the inclusion of a cubic government spending term, the model adopted in this study allows us to model shocks and show how the responses of economic growth to government expenditure differ according to the nature of shocks on them.

scholarly journals Retrospectives Whatever Happened to the Cambridge Capital Theory Controversies?

2003 ◽  
Vol 17 (1) ◽  
pp. 199-214 ◽  
Author(s):  
Avi J Cohen ◽  
G. C Harcourt
Keyword(s):  
Business Cycle ◽  
Endogenous Growth ◽  
Path Dependence ◽  
Real Business Cycle ◽  
Capital Theory ◽  
Economic Process ◽  
The 1950S ◽  
Simple Models

We argue that the Cambridge capital theory controversies of the 1950s to 1970s were the latest in a series of still-unresolved controversies over three deep issues: explaining and justifying the return to capital; Joan Robinson's complaint that, due to path dependence, equilibrium is not an outcome of an economic process and therefore an inadequate tool for analyzing accumulation and growth; and the role of ideology and vision in fuelling controversy when results of simple models are not robust. We predict these important and relevant issues, latent in endogenous growth and real business cycle theories, will erupt in future controversy.

THE HOURS WORKED–PRODUCTIVITY PUZZLE: IDENTIFICATION IN A FRACTIONAL INTEGRATION SETTING

2014 ◽  
Vol 19 (7) ◽  
pp. 1593-1621 ◽  
Author(s):  
Yuliya Lovcha ◽  
Alejandro Perez-Laborda
Keyword(s):  
Business Cycle ◽  
Fractional Integration ◽  
Real Business Cycle ◽  
Data Sets ◽  
Sampling Uncertainty ◽  
Hours Worked ◽  
Long Run ◽  
The Hours ◽  
Short Run ◽  
Technology Shock

A recent finding of the SVAR literature is that the response of hours worked to a (positive) technology shock depends on the assumed order of integration of the hours. In this work we relax this assumption, allowing fractional integration in hours and productivity. We find that the sign and magnitude of the estimated responses depend crucially on the identification assumptions employed. Although the responses of hours recovered with short-run (SR) restrictions are positive in all data sets, long-run (LR) identification results in negative, although sometimes not significant responses. We check the validity of these assumptions with the Sims procedure, concluding that both LR and SR are appropriate to recover responses in a fractionally integrated VAR. However, the application of the LR scheme always results in an increase in sampling uncertainty. Results also show that even the negative responses found in the data could still be compatible with real business cycle models.

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