Abstract
This paper investigates the impact of output and credit market shocks on R&D spending in advanced economies and builds on the commonly accepted view that credit constraints lead to procyclical R&D spending. A theoretical model is developed where output and credit shocks are treated separately, though these shocks may be highly correlated. The estimation procedure utilizes a panel vector autoregression (VAR) in order to empirically identify the role of credit market shocks separately from the output shocks more commonly studied in the existing literature. The primary empirical findings can be summarized as follows: (1) R&D responds pro-cyclically to output shocks at the macroeconomic level, and (2) R&D co-moves positively with credit. More concretely, the results indicate that negative output shocks induce a simultaneous and subsequent contraction in credit and R&D consistent with a model where credit constraints drive cyclical adjustments to R&D. The impact of output and credit shocks on R&D are economically significant and a simulation exercise suggests the shocks associated with the global financial crisis have reduced US R&D by 10% relative to the pre-crisis path.
References
Andrews, D., and B. Lu. 2001. “Consistent Model and Moment Selection Procedures for GMM Estimation with Application to Dynamic Panel Data Models.” Journal of Econometrics 101 (1): 123–164.10.1016/S0304-4076(00)00077-4Suche in Google Scholar
Aghion, P., G.M. Angeletos, A. Banerjee, and K. Manova. 2010. “Volatility and Growth: Credit Constraints and the Composition of Investment.” Journal of Monetary Economics 57 (3): 246–265.10.1016/j.jmoneco.2010.02.005Suche in Google Scholar
Aghion, P., P. Askenazy, N. Berman, G. Cette, and L. Eymard. 2012. “Credit Constraints and the Cyclicality of R&D Investment: Evidence from France.” Journal of the European Economic Association 10 (5): 1001–1024.10.2139/ssrn.1680324Suche in Google Scholar
Aghion, P., A. Banerjee, and T. Piketty. 1999. “Dualism and Macroeconomic Volatility.” Quarterly Journal of Economics 114: 1359–1397.10.1162/003355399556296Suche in Google Scholar
Aghion, P., and G. Saint-Paul. 1998. “Virtues of Bad Times: Interaction Between Productivity Growth and Economic Fluctuations.” Macroeconomic Dynamics 2: 322–344.10.1017/S1365100598008025Suche in Google Scholar
Arellano, M., and O. Bover. 1995. “Another Look at the Instrumental Variable Estimation of Error-Components Models.” Journal of Econometrics 68 (1): 29–51.10.1016/0304-4076(94)01642-DSuche in Google Scholar
Barlevy, G 2007. “On the Cyclicality of Research and Development.” The American Economic Review 97 (4): 1131–1164.10.1257/aer.97.4.1131Suche in Google Scholar
Beck, T., A. Demirguc-Kunt, L. Laeven, and R. Levine. 2008. “Finance, Firm Size and Growth.” Journal of Money, Credit and Banking 40 (7): 1379–1405.10.3386/w10983Suche in Google Scholar
Borio, C 2014. “The Financial Cycle and Macroeconomics: What Have We Learnt?” Journal of Banking & Finance 45: 182–198.10.1016/j.jbankfin.2013.07.031Suche in Google Scholar
Campello, M., J. Graham, and C. Harvey. 2010. “The Real Effects of Financial Constraints: Evidence from a Financial Crisis.” Journal of Financial Economics 97: 470–487.10.3386/w15552Suche in Google Scholar
Dembiermont, C., M. Drehmann, and S. Muksakunratana. 2013. “How Much Does the Private Sector Really Borrow? A New Database for Total Credit to the Private Non-Financial Sector.” BIS Quarterly Review 65–81. Available from: http://www.bis.org/publ/qtrpdf/r_qt1303h.htm.Suche in Google Scholar
Ha, J., and P. Howitt. 2006. “Accounting for Trends in Productivity and R&D: A Schumpeterian Critique of Semi-Endogenous Growth Theory.” Journal of Money, Credit and Banking 39: 733–774.10.1111/j.1538-4616.2007.00045.xSuche in Google Scholar
Khan, A., and J. Thomas. 2013. “Credit Shocks and Aggregate Fluctuations in an Economy with Production Heterogeneity.” Journal of Political Economy 121 (6): 1055–1107.10.3386/w17311Suche in Google Scholar
Levine, R., and S. Zervos. 1998. “Stock Markets, Banks, and Economic Growth.” American Economic Review 88: 537–558.10.1596/1813-9450-1690Suche in Google Scholar
Levine, R., N. Loayza, and T. Beck. 2000. “Financial Intermediation and Growth: Causality and Causes.” Journal of Monetary Economics 46: 31–77.10.1596/1813-9450-2059Suche in Google Scholar
Love, I., and L. Zicchino. 2006. “Financial Development and Dynamic Investment Behavior: Evidence from Panel VAR.” The Quarterly Review of Economics and Finance 46 (2): 190–210.10.1016/j.qref.2005.11.007Suche in Google Scholar
Ouyang, M 2011. “Ön the Cyclicality of R&D.” Review of Economics and Statistics 93 (2): 542–553.10.1162/REST_a_00076Suche in Google Scholar
Reifschneider, D., W. Wascher, and D. Wilcox. 2013. “Aggregate Supply in the United States: Recent Developments and Implications for the Conduct of Monetary Policy.”.Working Paper.10.2139/ssrn.2376334Suche in Google Scholar
Saint-Paul, G 1993. “Productivity Growth and the Structure of the Business Cycle.” European Economic Review 37 (4): 861–883.10.1016/0014-2921(93)90095-RSuche in Google Scholar
Schumpeter, J 1939. Business Cycles. New York: McGraw-Hill.Suche in Google Scholar
Summers, L 2014. “US Economic Prospects: Secular Stagnation, Hysteresis, and the Zero Lower Bound.” Business Economics 49 (2): 65–73.10.1057/be.2014.13Suche in Google Scholar
Walde, K., and U. Woitek. 2004. “R&D Spending in G7 Countries and the Implications for Endogenous Fluctuations and Growth.” Economics Letters 82: 91–97.10.1016/j.econlet.2003.07.014Suche in Google Scholar
©2017 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Advances
- Does microfinance reduce poverty? Some international evidence
- Exchange rate policy and the role of non-traded goods prices in real exchange rate fluctuations
- Democracy and income: taking parameter heterogeneity and cross-country dependency into account
- Pass-through of imported input prices to domestic producer prices: evidence from sector-level data
- Economic policy uncertainty and household inflation uncertainty
- Corruption, fiscal policy, and growth: a unified approach
- Monetary policy and energy price shocks
- Government education expenditures and economic growth: a meta-analysis
- Has the forecasting performance of the Federal Reserve’s Greenbooks changed over time?
- Life-cycle consumption, precautionary saving, and risk sharing: an integrated analysis using household panel data
- Can removing the tax cap save Social Security?
- A non-monotonic relationship between public debt and economic growth: the effect of financial monopsony
- The Euler equation around the world
- Structural change and non-constant biased technical change
- Contributions
- Trade and growth in a model of allocative inefficiency
- Macroeconomic Shocks and Corporate R&D
Artikel in diesem Heft
- Advances
- Does microfinance reduce poverty? Some international evidence
- Exchange rate policy and the role of non-traded goods prices in real exchange rate fluctuations
- Democracy and income: taking parameter heterogeneity and cross-country dependency into account
- Pass-through of imported input prices to domestic producer prices: evidence from sector-level data
- Economic policy uncertainty and household inflation uncertainty
- Corruption, fiscal policy, and growth: a unified approach
- Monetary policy and energy price shocks
- Government education expenditures and economic growth: a meta-analysis
- Has the forecasting performance of the Federal Reserve’s Greenbooks changed over time?
- Life-cycle consumption, precautionary saving, and risk sharing: an integrated analysis using household panel data
- Can removing the tax cap save Social Security?
- A non-monotonic relationship between public debt and economic growth: the effect of financial monopsony
- The Euler equation around the world
- Structural change and non-constant biased technical change
- Contributions
- Trade and growth in a model of allocative inefficiency
- Macroeconomic Shocks and Corporate R&D