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A sectoral approach to measuring output gap: Evidence from 20 US Sectors over 1948−2020

Published online by Cambridge University Press:  26 April 2022

Remzi Baris Tercioglu*
Affiliation:
New School for Social Research

Abstract

The existing output gap measures for the US economy rely on aggregate data and assume a constant output gap over sectors (see Coibion et al. [(2018) Brookings Papers on Economic Activity, 333–441] and Owyang et al. [(2018) Federal Reserve Bank of St. Louis Review, 297–316]); however, each sector has its cycle, which does not necessarily match the business cycle (Burns and Mitchell [(1946) National Bureau of Economic Research]). By modeling sectoral cycles based on their investment cycles with a nonparametric method, I estimate output gaps of 20 US sectors over 1948–2020. The weighted mean output gap indicates a persistent spare capacity in the last business cycle, pointing to insufficient stabilization policies behind secular stagnation. Phillips curve estimations with the weighted quartiles of sectoral output gaps show that the output gap of bottleneck sectors (weighted Q3) is correlated strongly with inflation over 1950–2020. Policymakers can track bottleneck sectors to mitigate inflationary pressures while supporting the sectors with negative output gaps to stabilize the output at its potential. My findings show that it is possible to produce more output by sector-level demand supporting policies without generating inflation.

Type
Articles
Copyright
© The Author(s), 2022. Published by Cambridge University Press

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Footnotes

*

This paper is a part of my PhD dissertation research at the New School for Social Research. I would like to thank Duncan Foley, Mark Setterfield, Teresa Ghilarducci, Michalis Nikiforos, Christian Schoder, Brian Hartley, anonymous referees of this journal, and participants of the 47th Annual Conference of the Eastern Economic Association for their valuable comments and feedback. The usual disclaimer applies.

References

Atalay, E. (2017) How important are sectoral shocks? American Economic Journal: Macroeconomics 9(4), 254280.Google Scholar
Ball, L. and Mazumder, S. (2019) A Phillips curve with anchored expectations and short-term unemployment. Journal of Money, Credit and Banking 51(1), 111137.CrossRefGoogle Scholar
Blanchard, O. (2016) The Phillips curve: Back to the ’60s? American Economic Review 106(5), 3134.CrossRefGoogle Scholar
Blanchard, O. (2018) Should we reject the natural rate hypothesis? Journal of Economic Perspectives 32(1), 97120.CrossRefGoogle Scholar
Blanchard, O., Cerutti, E. and Summers, L. (2015) Inflation and Activity–Two Explorations and their Monetary Policy Implications, International Monetary Fund.CrossRefGoogle Scholar
Blanchard, O. and Quah, D. (1989) The dynamic effects of aggregate demand and supply disturbances. American Economic Review 19, 655673.Google Scholar
Blecker, R. A. and Setterfield, M. (2019) Heterodox Macroeconomics: Models of Demand, Distribution and Growth, Edward Elgar Publishing.Google Scholar
Borio, C., Disyatat, P. and Juselius, M. (2017) Rethinking potential output: Embedding information about the financial cycle. Oxford Economic Papers 69(3), 655677.Google Scholar
Burns, A. F. (1951) Mitchell on what happens during business cycles. In: Conference on Business Cycles. NBER, 134.Google Scholar
Burns, A. F. and Mitchell, W. C. (1946) Measuring Business Cycles, National Bureau of Economic Research.Google Scholar
Calvo, G. A., Coricelli, F. and Ottonello, P. (2012). Labor market, financial crises and inflation: Jobless and wageless recoveries. Technical report, National Bureau of Economic Research.CrossRefGoogle Scholar
Canova, F. (2020). FAQ: How do I extract the output gap? Technical report, Sveriges Riksbank Working Paper Series.Google Scholar
Cerra, M. V. and Saxena, M. S. C. (2017) Booms, Crises, and Recoveries: A New Paradigm of the Business Cycle and Its Policy Implications, International Monetary Fund.Google Scholar
Cochrane, J. H. (1994) Permanent and transitory components of GNP and stock prices. The Quarterly Journal of Economics 109(1), 241265.CrossRefGoogle Scholar
Coibion, O., Gorodnichenko, Y. and Ulate, M. (2018) The cyclical sensitivity in estimates of potential output. Brookings Papers on Economic Activity 2018(2), 343441.CrossRefGoogle Scholar
Dupraz, S., Nakamura, E. and Steinsson, J. (2019). A plucking model of business cycles. Technical report, National Bureau of Economic Research.CrossRefGoogle Scholar
Eichengreen, B. (2014) Secular Stagnation: A Review of the Issues. London: CEPR Press.Google Scholar
Erdogan Cosar, E., Kosem, S. and Sarikaya, C. (2013). Do we really need filters in estimating output gap?: Evidence from Turkey. Technical report, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.Google Scholar
Felipe, J. and McCombie, J. S. (2014) The aggregate production function: ‘Not even wrong’. Review of Political Economy 26(1), 6084.CrossRefGoogle Scholar
Foerster, A. T., Sarte, P.-D. G. and Watson, M. W. (2011) Sectoral versus aggregate shocks: A structural factor analysis of industrial production. Journal of Political Economy 119(1), 138.Google Scholar
Fontanari, C., Palumbo, A. and Salvatori, C. (2019) Potential output in theory and practice: A revision and update of Okun’s original method. In: Institute for New Economic Thinking Working Paper Series , (93),Google Scholar
Foss, M. F. (1963) The utilization of capital equipment: Postwar compared with prewar. Survey of Current Business 43(6), 816.Google Scholar
Friedman, M. (1964) Monetary studies of the National Bureau. The National Bureau Enters Its 45th Year 44, 725.Google Scholar
Friedman, M. (1968) The role of monetary policy. American Economic Review 58(1), 117.Google Scholar
Gali, J. (1999) Technology, employment, and the business cycle: Do technology shocks explain aggregate fluctuations? American Economic Review 89(1), 249271.CrossRefGoogle Scholar
Goodwin, R. M. (1982) A growth cycle. In: Essays in Economic Dynamics, pp. 165170. London: Palgrave Macmillan.CrossRefGoogle Scholar
Gordon, R. J. (2015) Secular stagnation: A supply-side view. American Economic Review 105(5), 5459.CrossRefGoogle Scholar
Grant, A. L. and Chan, J. C. (2017) Reconciling output gaps: Unobserved components model and Hodrick–Prescott filter. Journal of Economic Dynamics and Control 75(7), 114121.CrossRefGoogle Scholar
Guérin, P., Maurin, L. and Mohr, M. (2015) Trend-cycle decomposition of output and euro area inflation forecasts: A real-time approach based on model combination. Macroeconomic Dynamics 19(2), 363393.CrossRefGoogle Scholar
Gutiérrez, G. and Philippon, T. (2016). Investment-less growth: An empirical investigation. Technical report, National Bureau of Economic Research.CrossRefGoogle Scholar
Hamilton, J. D. (2018) Why you should never use the Hodrick-Prescott filter. Review of Economics and Statistics 100(5), 831843.CrossRefGoogle Scholar
Hansen, A. H. (1939) Economic progress and declining population growth. American Economic Review 29(1), 115.Google Scholar
Harding, D. and Pagan, A. (2002) Dissecting the cycle: A methodological investigation. Journal of Monetary Economics 49(2), 365381.CrossRefGoogle Scholar
Harding, D. and Pagan, A. (2005) A suggested framework for classifying the modes of cycle research. Journal of Applied Econometrics 20(2), 151159.CrossRefGoogle Scholar
Hodrick, R. J. and Prescott, E. C. (1997) Postwar US business cycles: An empirical investigation. Journal of Money, Credit and Banking 29(1), 116.Google Scholar
Kiefer, D., Mendieta-Muñoz, I., Rada, C. and von Arnim, R. (2020) Secular stagnation and income distribution dynamics. Review of Radical Political Economics 52(2), 189207.CrossRefGoogle Scholar
Kim, C.-J. and Nelson, C. R. (1999) Friedman’s plucking model of business fluctuations: Tests and estimates of permanent and transitory components. Journal of Money, Credit and Banking 31(3), 317334.CrossRefGoogle Scholar
León-Ledesma, M. A. and Thirlwall, A. P. (2002) The endogeneity of the natural rate of growth. Cambridge Journal of Economics 26(4), 441459.CrossRefGoogle Scholar
Li, Y. (2019). The Fed chairman says the relationship between inflation and unemployment is gone. CNBC. com, Thursday, July, 11:2019.Google Scholar
Morin, N. and Stevens, J. (2004) Estimating capacity utilization from survey data. Finance and Economics Discussion Paper 2004(49), 138, 2004.Google Scholar
Morley, J. and Panovska, I. B. (2020) Is business cycle asymmetry intrinsic in industrialized economies? Macroeconomic Dynamics 24(6), 14031436.CrossRefGoogle Scholar
Murray, J. P. (2014) Output Gap Measurement: Judgement and Uncertainty, Office for Budget Responsibility.Google Scholar
Nikiforos, M. (2016) On the ‘utilisation controversy’: A theoretical and empirical discussion of the Kaleckian model of growth and distribution. Cambridge Journal of Economics 40(2), 437467.CrossRefGoogle Scholar
Okun, A. M. (1963) Potential GNP: Its Measurement and Significance, Cowles Foundation for Research in Economics at Yale University.Google Scholar
Owyang, M., Guisinger, A. and Shell, H. (2018) Comparing measures of potential output. Federal Reserve Bank of St. Louis Review 100(4), 297316.Google Scholar
Pybus, T. (2011). Estimating the UK’s historical output gap. Office for Budget Responsibility, Working Paper, (1).Google Scholar
Ragan, J. F. (1976) Measuring capacity utilization in manufacturing. Federal Reserve Board New York Quarterly Review 1, 1328.Google Scholar
Shackleton, R. (2018) Estimating and Projecting Potential Output Using CBO’s Forecasting Growth Model, Congressional Budget Office.Google Scholar
Shaikh, A. (1987) The falling rate of profit and the economic crisis in the US. In: R. Cherry et al. (eds.), The Emperiled Economy, book I, pp. 115126. New York: URPE.Google Scholar
Shaikh, A. and Moudud, J. (2004) Measuring capacity utilization in OECD countries: A cointegration method. In: The Levy Economics Institute of Bard College Working Paper no. 415 . Annandale-on-Hudson, NY.Google Scholar
Smets, F. and Wouters, R. (2007) Shocks and frictions in US business cycles: A Bayesian DSGE approach. American Economic Review 97(3), 586606.CrossRefGoogle Scholar
Summers, L. H. (2014) US economic prospects: Secular stagnation, hysteresis, and the zero lower bound. Business Economics 49(2), 6573.CrossRefGoogle Scholar
Summers, L. H. (2015) Demand side secular stagnation. American Economic Review 105(5), 6065.CrossRefGoogle Scholar