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Monthly GDP Estimates for Inter-War Britain

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Abstract

We derive monthly and quarterly series of UK GDP for the inter-war period from a set of monthly indicators that were constructed by The Economist at the time. The monthly information is complemented with data for quarterly industrial production, allowing us to employ mixed-frequency methods to produce monthly estimates of GDP and of industrial production. We proceed to illustrate how the new data compare with existing high frequency data and how they can be used to contribute to our understanding of the economic history of the UK in the inter-war period and to draw comparisons between recession profiles in the inter-war and the post-war period.

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  • Mitchell, J. & Solomou, S. & Weale, M., 2011. "Monthly GDP Estimates for Inter-War Britain," Cambridge Working Papers in Economics 1155, Faculty of Economics, University of Cambridge.
  • Handle: RePEc:cam:camdae:1155
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    1. Hendry, David F & Mizon, Grayham E, 1978. "Serial Correlation as a Convenient Simplification, not a Nuisance: A Comment on a Study of the Demand for Money by the Bank of England," Economic Journal, Royal Economic Society, vol. 88(351), pages 549-563, September.
    2. Tommaso Proietti & Filippo Moauro, 2006. "Dynamic factor analysis with non‐linear temporal aggregation constraints," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 55(2), pages 281-300, April.
    3. Solomos Solomou & Martin Weale, 1996. "UK national income, 1920-1938: the implications of balanced estimates," Economic History Review, Economic History Society, vol. 49(1), pages 101-115, February.
    4. Harding, Don & Pagan, Adrian, 2002. "Dissecting the cycle: a methodological investigation," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 365-381, March.
    5. Peter Temin, 1991. "Lessons from the Great Depression," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262700441, April.
    6. Solomou, Solomos & Vartis, Dimitris, 2005. "Effective Exchange Rates in Britain, 1920 1930," The Journal of Economic History, Cambridge University Press, vol. 65(03), pages 850-859, September.
    7. Foreman-Peck, James & Hughes Hallett, Andrew & Ma, Yue, 2000. "A monthly econometric model of the transmission of the Great Depression between the principal industrial economies," Economic Modelling, Elsevier, vol. 17(4), pages 515-544, December.
    8. Peter Hayes & Paul Turner, 2007. "Estimates of quarterly GDP for the interwar UK economy," Applied Economics Letters, Taylor & Francis Journals, vol. 14(8), pages 569-572.
    9. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
    10. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
    11. Eichengreen, Barry & Sachs, Jeffrey, 1985. "Exchange Rates and Economic Recovery in the 1930s," The Journal of Economic History, Cambridge University Press, vol. 45(4), pages 925-946, December.
    12. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1.
    13. James Mitchell & Richard J. Smith & Martin R. Weale & Stephen Wright & Eduardo L. Salazar, 2005. "An Indicator of Monthly GDP and an Early Estimate of Quarterly GDP Growth," Economic Journal, Royal Economic Society, vol. 115(501), pages 108-129, February.
    14. Solomos Solomou & Martin Weale, 1993. "Balanced Estimates of National Accounts When Measurement Errors are Autocorrelated: The Uk, 1920–38," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 156(1), pages 89-105, January.
    15. Broadberry, S N, 1986. "Aggregate Supply in Interwar Britain," Economic Journal, Royal Economic Society, vol. 96(382), pages 467-481, June.
    16. Bray, Margaret M & Savin, Nathan E, 1986. "Rational Expectations Equilibria, Learning, and Model Specification," Econometrica, Econometric Society, vol. 54(5), pages 1129-1160, September.
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    Cited by:

    1. James Foreman-Peck, 2014. "Great recessions compared," Investigaciones de Historia Económica - Economic History Research (IHE-EHR), Journal of the Spanish Economic History Association, Asociación Española de Historia Económica, vol. 10(02), pages 92-103.
    2. Crafts, Nicholas & Mills, Terence C., 2013. "Rearmament to the Rescue? New Estimates of the Impact of “Keynesian” Policies in 1930s' Britain," The Journal of Economic History, Cambridge University Press, vol. 73(4), pages 1077-1104, December.
    3. Postel-Vinay, Natacha & Cloyne, James & Dimsdale, Nicholas, 2018. "Taxes and Growth: New Narrative Evidence from Interwar Britain," CEPR Discussion Papers 12962, C.E.P.R. Discussion Papers.
    4. Crafts, Nicholas & Mills, Terence C, 2012. "Fiscal Policy in a Depressed Economy: Was There a ‘Free Lunch’ in 1930s’ Britain?," CAGE Online Working Paper Series 106, Competitive Advantage in the Global Economy (CAGE).
    5. Albers, Thilo & Uebele, Martin, 2015. "The global impact of the great depression," LSE Research Online Documents on Economics 64491, London School of Economics and Political Science, LSE Library.
    6. Ruttachai Seelajaroen & Pornanong Budsaratragoon & Boonlert Jitmaneeroj, 2020. "Do monetary policy transparency and central bank communication reduce interest rate disagreement?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 368-393, April.
    7. Nicholas Crafts, 2014. "What Does the 1930s' Experience Tell Us about the Future of the Eurozone?," Journal of Common Market Studies, Wiley Blackwell, vol. 52(4), pages 713-727, July.
    8. Ronicle, David, 2022. "Turning in the widening gyre: monetary and fiscal policy in interwar Britain," Bank of England working papers 968, Bank of England.
    9. Bosupeng, Mpho, 2015. "Exports Multiplicity and The Dutch Disease," MPRA Paper 77919, University Library of Munich, Germany, revised 2015.
    10. Karau, Sören, 2020. "Buried in the vaults of central banks: Monetary gold hoarding and the slide into the Great Depression," Discussion Papers 63/2020, Deutsche Bundesbank.
    11. Albers, Thilo Nils Hendrik, 2018. "The prelude and global impact of the Great Depression: Evidence from a new macroeconomic dataset," Explorations in Economic History, Elsevier, vol. 70(C), pages 150-163.

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    More about this item

    Keywords

    Economic History; National Accounts; Monthly GDP Data; Great Depression;
    All these keywords.

    JEL classification:

    • N34 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Europe: 1913-
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

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