Dezhbakhsh, Hashem and Levy, Daniel (2026): Interpolation and Prewar-Postwar Output Volatility and Shock-Persistence Debate: A Closer Look and New Results.
Preview |
PDF
MPRA_paper_128031.pdf Download (1MB) | Preview |
Abstract
It is well established that the U.S. prewar output was more volatile and less shock persistent than the postwar output. This is often attributed to the data interpolation employed to construct the prewar series. Our analytical results, however, indicate that commonly used linear interpolation has the opposite effect on shock persistence and volatility of a series—it increases shock persistence and reduces volatility. The surprising implication of this finding is that the actual differences between the volatility and shock persistence of the prewar and postwar output series are likely greater than the existing literature recognizes, and interpolation has dampened rather than magnified this difference. Consequently, the view that postwar output was more stable than prewar output because of the effectiveness of the postwar stabilization policies and institutional changes has considerable merit. Our results hold for parsimonious stationary and nonstationary time series commonly used to model macroeconomic time series.
| Item Type: | MPRA Paper |
|---|---|
| Original Title: | Interpolation and Prewar-Postwar Output Volatility and Shock-Persistence Debate: A Closer Look and New Results |
| Language: | English |
| Keywords: | Business Cycles; Output Volatility; Shock Persistence; Prewar and Postwar US Time Series; Linear Interpolation; Variance Ratio; Stationary Series; Nonstationary Series; Periodic Non-stationarity; Missing Observations; Macroeconomic Stabilization; Economic Policy |
| Subjects: | C - Mathematical and Quantitative Methods > C0 - General > C02 - Mathematical Methods C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C18 - Methodological Issues: General C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C82 - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data ; Data Access E - Macroeconomics and Monetary Economics > E0 - General > E01 - Measurement and Data on National Income and Product Accounts and Wealth ; Environmental Accounts E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles N - Economic History > N1 - Macroeconomics and Monetary Economics ; Industrial Structure ; Growth ; Fluctuations > N10 - General, International, or Comparative |
| Item ID: | 128031 |
| Depositing User: | Daniel Levy |
| Date Deposited: | 31 Mar 2026 08:24 |
| Last Modified: | 31 Mar 2026 08:24 |
| References: | Acemoglu, D. (2025), “Nobel Lecture: Institutions, Technology, and Prosperity,” American Economic Review 115(6), 1709–1748. Acemoglu, D., Johnson, S., Robinson, J, and Thaicharoen, Y. (2003), “Institutional Causes, Macroeconomic Symptoms: Volatility, Crises, and Growth,” Journal of Monetary Economics 50(1), 49–123. Acemoglu, D., Johnson, S., and Robinson, J. (2005), “Institutions as a Fundamental Cause of Long-Run Growth,” in Handbook of Economic Growth, Vol. 1A (New York, NY: Elsevier), 385–472. Acemoglu, D., and Robinson, J. (2008), “The Persistence and Change of Institutions in the Americas,” Southern Economic Journal 75(2), 281–299. Acemoglu, D., and Robinson, J. (2012), Why Nations Fail: The Origins of Power, Prosperity, and Poverty (New York, NY: Crown Business). Acemoglu, D., Egorov, G., and Sonin, K. (2021), “Institutional Change and Institutional Persistence,” in The Handbook of Historical Economics, edited by A. Bisin and G. Federico (New York, NY: Academic Press), pp. 365–389. Adorf, H. (1995), “Interpolation of Irregularly Sampled Data Series – a Survey,” in: Shaw, R.A., et al. (Eds.), Astronomical Data Analysis Software and Systems IV, 77, 460–463. Backus, D., and Kehoe, P. (1992), “International Evidence on the Historical Properties of Business Cycles,” American Economic Review 82(4), 864–888. Bailey, M. (1978), “Stabilization Policy and Private Economic Behavior,” Brookings Papers on Economic Activity 78, 11–60. Balke, N., and Gordon, R. (1986), “Appendix B: Historical Data.” In: Gordon, R., Ed., The American Business Cycle: Continuity and Change (Chicago, IL: The University of Chicago Press and NBER), pp. 781–850. Balke, N., and Gordon, R. (1989), “The Estimation of Prewar Gross National Product: Methodology and New Evidence,” Journal of Political Economy 97(1), 38–92. Bank of England (2018), “Notes on Three Centuries of UK GDP and 7 Centuries of English GDP.”. Basu, S., and Taylor, A. (1999), “Business Cycles in International Historical Perspective,” Journal of Economic Perspectives 13(2), 45–68. Bergman, M., Bordo, M., and Jonung, L. (1998), “Historical Evidence on Business Cycles: The International Experience,” in: Federal Reserve Bank of Boston Conference Series, Volume 42, Beyond Shocks: What Causes Business Cycles? edited by J. Fuhrer and S. Schuh, pp. 65–113. Blanchard, O., and Watson, M. (1986), “Are Business Cycles All Alike?” In: Gordon, R., Ed., The American Business Cycle: Continuity and Change (University of Chicago Press), 123–180. Bronfenbrenner, M. (1969), Is the Business Cycle Obsolete? Proceedings of the Conference of the Social Science Research Council Committee on Economic Stability (New York, NY: Wiley). Bureau of Labor Statistics (1966), “The Consumer Price Index: History and Techniques,” Bulletin No. 1517, Washington, DC: U.S. Government Printing Office. Burns, A. (1960) “Progress towards Economic Stability” American Economic Review 50, 1–19. Campbell, J., and Mankiw, N. (1987a), “Are Output Fluctuations Transitory?” Quarterly Journal of Economics 102, 857–880. Campbell, J. and Mankiw, N. (1987b), “Permanent and Transitory Components in Macroeconomic Fluctuations,” American Economic Review 77, 111–117. Campbell, G., Quinn, W., Turner, J. D., and Ye, Q. (2018a), “What Moved Share Prices in the Nineteenth-Century London Stock Market?” Economic History Review 71(1), 157–189. Campbell, G., Turner, J. D., and Ye, Q. (2018b), “The Liquidity of the London Capital Markets, 1825–70,” Economic History Review 71(3), 823–852. Carleton, W., Campbell, D., and Collard, M. (2014), “A Reassessment of the Impact of Drought Cycles on the Classic Maya,” Quaternary Science Reviews 105, 151–161. Cecchetti, S., Lam, P. (1994), “Variance-Ratio Tests: Small-Sample Properties with an Application to International Output Data,” Journal of Business and Economic Statistics 12(2), 177–186. Charles, A., and Darné, O. (2012), “A Note on the Uncertain Trend in US Real GNP: Evidence from Robust Unit Root Tests,” Economics Bulletin 32(3), 2399–2406. Charles, A., Darné, O., and Diebolt, C. (2014), “A Revision of the US Business-Cycles Chronology, 1790–1928,” Economics Bulletin 34(1), 234–244. Cheung Y, and Chinn, M. (1997), “Further Investigation of the Uncertain Unit Root in GNP,” Journal of Business and Economic Statistics 15(1), 68–73. Cochrane J. (1988), “How Big is the Random Walk in GNP?” Journal of Political Economy 96, 893–820. Cogley T. (1990), “International Evidence on the Size of the Random Walk in Output,” Journal of Political Economy 98(3), 501–518. Cogley, T., and Sargent, T. (2015), “Measuring Price-Level Uncertainty and Instability in the United States, 1850–2012,” Review of Economics and Statistics 97(4), 827–838. Cogley, T., Sargent, T., and Surico, P. (2015), “Price-Level Uncertainty and Instability in the United Kingdom,” Journal of Economic Dynamics and Control 52, 1–16. Davis, J. (2006), “An Improved Annual Chronology of U.S. Business Cycles Since the 1790s,” Journal of Economic History 66, 103–121. Dennis, B., and Işcan, T. (2007), “Accounting for Structural Change: Evidence from Two Centuries of U.S. Data,” Working Paper No. 2007-04, Dept. of Econ., Dalhousie University. DeLong, B., and Summers, L. (1986), “The Changing Cyclical Variability of Economic Activity in the United States,” in: The American Business Cycle: Continuity and Change, edited by R. Gordon (Chicago, IL: University of Chicago Press), pp. 679–734. DeLong, B., and Summers, L. (1988), “How Does Macroeconomic Policy Affect Output?” Brookings Papers on Economic Activity 2, 433–480. Dezhbakhsh, H., and Levy, D. (1994), “Periodic Properties of Interpolated Time Series,” Economics Letters 44, 221–228. Dezhbakhsh, H., and Levy, D. (2003), “International Evidence on Output Fluctuation and Shock Persistence,” Journal of Monetary Economics 50, 1531–1553. Dezhbakhsh, H., and Levy, D. (2022), “Interpolation and Shock Persistence of Prewar U.S. Macroeconomic Time Series: A Reconsideration,” Economics Letters 213, 110386, Douglas, P. (1930), Real Wages in the United States, 1890–1926 (Boston, MA: Houghton). Ehrmann, M. (2000), “Comparing Monetary Policy Transmission across European Countries,” Weltwirtschaftliches Archiv 136(1), 58–83. Fohlin, C., and Collet, S. (2025), “Hedging Against Turmoil: Asset Pricing, Liquidity, and Equity Market Dynamics in the German Hyperinflation,” manuscript, Dept. of Econ., Emory University. Franses, P., Paap, R., and Fok, D. (2006), “Performance of Seasonal Adjustment Procedures: Simulation and Empirical Results,” in T. Mills and K. Patterson (eds.), Palgrave Handbook of Econometrics, Volume I: Econometric Theory (Palgrave MacMillan, New York), pp. 1035–1055. Franses, P. (2013), “Data Revisions and Periodic Properties of Macroeconomic Data,” Economics Letters 120, 139–141. Franses, P. (2021), “Estimating Persistence for Irregularly Spaced Historical Data,” Quality & Quantity 55, 2177–2187. Franses, P. (2022), “Interpolation and Correlation,” Applied Economics 54(14), 1562–1567. Friedman, M., and Schwartz, A. (1982), Monetary Trends in the US and the UK (NBER and the University of Chicago Press). Fuhrer, J., and Schuh, S. (1998), “Beyond Shocks: What Causes Business Cycles? An Overview,” in: Federal Reserve Bank of Boston Conference Series, Volume 42, Beyond Shocks: What Causes Business Cycles? edited by J. Fuhrer and S. Schuh, pp. 1–31. Gordon, R. (1986), “Introduction: Continuity and Change in Theory, Behavior, and Methodology,” in: The American Business Cycle: Continuity and Change, ed. by R. Gordon (Chicago, IL), 1–34. Jaeger, A. (1990), “Shock Persistence and the Measurement of Prewar Output Series,” Economics Letters 34, 333–337. Jane, N., Nehemiah, K., and Arputharaj, K. (2016), “A Temporal Mining Framework for Classifying Unevenly Spaced Clinical Data,” Applied Clinical Informatics 7, 1–21. Johansson, O. (1967), The Gross Domestic Product of Sweden and Its Composition 18611955 (Stockholm: Almqvist and Wiksell). Johnston, L., and Williamson, S. (2018), “The Annual Real and Nominal GDP for the United States, 1790–1928,” www.measuringworth.com/datasets/usgdp12/sourcegdp.php. Karger, E. and Wray, A. (2024), “The Black-White Lifetime Earnings Gap,” Explorations in Economic History 94, 101629. Katz, J., and Sanger-Katz, M. (2020), “Coronavirus Deaths by US State and Country over Time: Daily Tracker,” New York Times, March 28, 2020, accessed March 29, 2020. Kaufmann, D. (2020), “Is Deflation Costly After All? The Perils of Erroneous Historical Classifications,” Journal of Applied Econometrics 35(5), 614–628. Keating, J. and Valcarcel, V. (2015), “The Time-Varying Effects of Permanent and Transitory Shocks to Real Output,” Macroeconomic Dynamics 19, 477–507. Kuznets, S. (1961), Capital in the American Economy: Its Formation and Financing (NBER and the University of Chicago Press). Lebergott, S. (1964), Manpower in Economic Growth: The American Record Since 1800 (McGraw-Hill: New York, NY). Leung, S. (1992), “Changes in the Behavior of Output in the United Kingdom, 1856–1990,” Economics Letters 40, 435–444. Levy, D., and Chen, H. (1994), “Estimates of the Aggregate Quarterly Capital Stock Series for the Postwar U.S. Economy,” Review of Income and Wealth 40, 317–349. Levy, D., Snir, A., Chen, H., and Gotler, A. (2020), “Not All Price Endings Are Created Equal: Price Points and Asymmetric Price Rigidity,” Journal of Monetary Economics 110, 33–49. Liu, Z. (2016), “Time Series Modeling of Irregularly Sampled Multivariate Clinical Data,” PhD Thesis, Department of Computer Science, University of Pittsburgh. Liu, Z., and Hauskrecht, M. (2016), “Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data,” Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), 1273–1279. Long, C. (1960), Wages and Earnings in the United States, 1860–1890 (Princeton, NJ: Princeton University Press and NBER). Lucas, R. E., Jr. (1977), “Understanding Business Cycles,” Carnegie-Rochester Conference Series on Public Policy 5, 7–29. Ma, Y., de Jong, H., and Chu, T. (2014), “Living Standards in China between 1840 and 1912: a New Estimate of Gross Domestic Product per Capita,” GGDC Research Memorandum; Vol. GD-147), Groningen Growth and Development Center. Maddison, A. (1982), Phases of Capitalist Development (New York, NY: Oxford University Press). Miron, J., and Romer, C. (1990), “A New Monthly Index of Industrial Production, 1884–1940,” Journal of Economic History 50(2), 321–337. Murray, C., and Nelson, C. (2000), “The Uncertain Trend in U.S. GDP,” Journal of Monetary Economics 46(1), 79–95. Orlando, O., and Zimatore, G. (2018), “Recurrence Quantification Analysis of Business Cycles,” Chaos, Solitons and Fractals 110, 82–94. Romer, C. (1986a), “Is the Stabilization of the Postwar Economy a Figment of the Data?” American Economic Review 76(3), 314–334. Romer, C. (1986b), “The Instability of the Prewar Economy Reconsidered: A Critical Examination of Historical Macroeconomic Data,” Journal of Economic History 46(2), 494–496. Romer, C. (1986c), “New Estimates of Prewar Gross National Product and Unemployment,” Journal of Economic History 46(2), 341–352. Romer, C. (1986d), “Spurious Volatility in Historical Unemployment Data,” Journal of Political Economy 94(1), l–37. Romer, C. (1989), “The Prewar Business Cycle Reconsidered: New Estimates of Gross National Product, 1869–1908,” Journal of Political Economy 97, l–37. Romer, C. (1991), “The Cyclical Behavior of Individual Production Series, 1889-1984,” Quarterly Journal of Economics 106(1), 1–31. Romer, C. (1992), “What Ended the Great Depression?” Journal of Economic History 52(4), 757–784. Romer, C. (1994), “Remeasuring Business Cycles,” Journal of Economic History 54(3), 573–609. Romer, C. (1999), “Changes in Business Cycles: Evidence and Explanations,” Journal of Economic Perspectives 13(2), 23–44. Ramey, G., and Ramey, V. (1995), “Cross-Country Evidence on the Link between Volatility and Growth,” American Economic Review 85(5), 1138–1151. Rousseau, P. L. (2009), “Share Liquidity, Participation, and Growth of the Boston Market for Industrial Equities, 1854–1897,” Explorations in Economic History 46(2), 203–219. Samuelson, P. (1998), “Summing Up on Business Cycles: Opening Address,” in: Federal Reserve Bank of Boston Conference Series, Volume 42, Beyond Shocks: What Causes Business Cycles? edited by J. Fuhrer and S. Schuh, pp. 33–36. Sheffrin, S. (1988), “Have Economic Fluctuations Been Dampened? A Look at the Evidence Outside the United States,” Journal of Monetary Economics 21, 73–83. Shi, M. (2015), “Forest Cover Change in Northeast China during the Period of 1977–2007 and Its Driving Forces,” PhD Thesis, Michigan State University. Shi, M., R. Yin, and Lv, H. (2017), “An Empirical Analysis of the Driving Forces of Forest Cover Change in Northeast China,” Forest Policy and Economics 78, 78–87. Stock, J. (1994), “Unit Roots, Structural Breaks, and Trends,” in Handbook of Econometrics, Vol. IV, Edited by R. Engle and D. McFadden (New York, NY: Elsevier), 2739–2841. Stock, J., & Watson, M. (1986) “Does GNP Have a Unit Root?” Economic Letters 22, 147–51. Stock, J., and Watson, M. (2003), “Has the Business Cycle Changed and Why?” NBER Macroeconomics Annual 17, 159–218. Stock, J., and Watson, M. (2007), “Why Has US Inflation Become Harder to Forecast,” Journal of Money, Credit, and Banking 30 (1), 3–33. Taylor, J. (1986), “Improvements in Macroeconomic Stability: The Role of Wages and Prices,” in R. Gordon, ed., The American Business Cycle: Continuity and Change (Chicago, IL: University of Chicago Press), pp. 639–659. Tobin, J. (1980), Asset Accumulation and Economic Activity (Chicago, IL: Univ. of Chicago Press). Williamson, S. (2018), “Measuring Worth Is Better Without the CPI,” manuscript, presented at the American Economic Association annual conference. Zarnowitz, V. (1972), The Business Cycle Today (New York, NY: Columbia University Press). Zarnowitz, V. (1992), Business Cycles: Theory, History, Indicators, and Forecasting (Chicago, IL: University of Chicago Press). Zarnowitz, V. (1998), “Has the Business Cycle Been Abolished,” Business Economics 33, 39–45. Zimatore, O. (2020) “Business Cycle Modeling between Financial Crises and Black Swans: Ornstein-Uhlenbeck Stochastic Process vs Kaldor Deterministic Chaotic Model,” Chaos 30(8), 083129. |
| URI: | https://mpra.ub.uni-muenchen.de/id/eprint/128031 |

