Pushkinskaya st. 43. office 10
Rostov-on-Don, Russia
344082
e-mail: info@hjournal.ru 
tel. +7(863) 269-88-14

cubsEN (2)

Quantitative and Digital Methods of Research in Economic History

Quantitative and Digital Methods of Research in Economic History

Journal of Institutional Studies, , Vol. 11 (no. 1),

This article analyzes new methods and approaches used in the literature on economic history at the present stage. Introduction of digital technologies in the economic history in the second decade of the 21st century, faces new challenges and new opportunities. Reducing the cost of digitizing information, leading to the accumulation of huge amounts of digitized data, leads to the emergence of new research methods and a number of specialists are already talking about a new methodological revolution. The authors show that in recent decades, as more and more historical texts such as periodicals, letters, diaries, personal archives, books, etc. are digitized, new methods for analyzing the data are emerging. The article describes some of the most interesting historical information resources that form the basis for numerous projects in the field of economic history, both at the macro and micro levels. In these projects data on prices and incomes from all over the world are investigated, including data for real and nominal GDP, wages, price indices, Dow Jones fluctuations since 1885, interest rates and exchange rates, and much more. The article shows how modern research uses mathematical, economic and digital methods that allow, firstly, to clarify existing theories, analyze much larger amounts of data and, in addition, contribute to the creation of new theoretical concepts.


Keywords: cliometrics; new economic history; quantitative analysis methods; natural experiment; counterfactual model; Markov chains; geographic information system

References:
  • Allen, R. (2013). Farm to Factory: A Re-interpretation of the Soviet Industrial Revolution. M.: Russian Political Encyclopedia (ROSSPEN). (In Russian).
  • Borodkin, L. I. (1996). Mathematical models in historical studies: deus ex machina? Mathematical modeling of historical processes. M.: Publishing House of Moscow City. (In Russian).
  • Kovalchenko, I. D. (1987). Methods of historical research. M.: Science. (In Russian).
  • Cambridge Economic History of Europe of a New and Modern Time (2015) / Ed. Broadberry, S., O’Rourke, K. T. 2. M.: Gaidar Institute Press. (In Russian).
  • Latov, Y. (2012). Clio takes the calculator. Journal of Institutional Studies. 4(2), 50–73. (In Russian).
  • Williamson, S. (1996). History of cliometrics in the United States (translated by A. N. Field) Economic history. Review Ed. V. I. Bovykina and L. I. Borodkina. Issue 1. M.: Review, 75–107. (In Russian).
  • Abramitzky, R., Boustan, L. and Eriksson, K. (2014). A Nation of Immigrants: Assimilation and Economic Outcomes in the Age of Mass Migration. Journal of Political Economy, 122(3), 467–506.
  • Acemoglu, D., Johnson, S., and Robinson, J. A. (2001). The colonial origins of comparative development: An empirical investigation. American Economic Review, 91(5), 1369–1401.
  • Bailey, M. J., Cole, C., Henderson, M. and Massey, C. (2017). How Do Automated Methods Linking Perform? Evidence from New Ground Truth. Unpublished manuscript (http://www-personal.umich.edu/~baileymj/Bailey_Cole_Henderson_Massey.pdf – Access Date: 17.01.2018).
  • Becker, S. O. and Woessmann, L. (2009). Was Weber wrong? A human capital theory of Protestant economic history. Quarterly Journal of Economics 124(2), 531–596.
  • Berger, T. and Frey, C. (2016). Did the Computer Revolution shift the fortunes of US cities? Technology shocks and the geography of new jobs. Regional Science and Urban Economics, 57, 38–45.
  • Berger, T. and Frey, C. (2016). Structural transformation in the OECD: Digitalisation, deindustrialisation and the future of work. OECD Social, Employment and Migration
  • Working Papers, No. 193, OECD Publishing, Paris.Berger, T. and Frey, C. (2017). Regional technological dynamism and noncompete clauses: Evidence from a natural experiment. Journal of Regional Science, 57(4), 655–668.
  • Bharucha-Reid, A. T. (1960). McGraw-Hill Book Company, Inc; Elements of the Theory of Markov Processes and Their Applications.
  • Black, J. and MacRaild, D. (2016). Studying History. Macmillan Education UK.
  • Charette, M. F., and Meng, R. (1998). The determinants of literacy and numeracy, and the effect of literacy and numeracy on labour market outcomes. Canadian Journal of Economics, 31(3), 495–517.
  • Churchill, W. (1961). If Lee Had Not Won the Battle of Gettysburg. Wisconsin Magazine of History, 44(4).
  • Cowley, R. (1999). What if. Military History Quarterly.
  • Deka, B., Birklykke, A., Duwe, H., Mansinghka, V. and Kumar, R. (2018). Markov chain algorithms: a template for building future robust low-power systems. Philos Trans A Math Phys Eng Sci. 2014 Jun 28; 372: doi: 10.1098/rsta.2013.0277
  • De Moor, T., and Van Zanden, J. L. (2010). Every woman counts: A gender-analysis of numeracy in the Low Countries during the early modern period. Journal of Interdisciplinary History, 41(2), 179–208.
  • Dittmar, J. and Seabold, S. (2015). Media, markets and institutional change: evidence fromthe Protestant Reformation. CEP Discussion Papers, CEPDP1367. Centre for Economic Performance, London School of Economics and Political Science, London, UK.
  • Dong, H., Campbell, C., Kurosu, S., Yang, W. and Lee, J. Z. (2015). New Sources for Comparative Social Science: Historical Population Panel Data From East Asia. Demography, May, 1–28.
  • Fogel, R. (1964). Railroads and American Economic Growth: Essays in Econometric History. Baltimore: Johns Hopkins Press.
  • Fourie, J. (2016). The Data Revolution in African Economic History. Journal of Interdisciplinary History, 47(2), 1–20.
  • Gentzkow, M. and Shapiro, J. (2011). Ideological Segregation Online and Offline. The Quarterly Journal of Economics, 126, 1799–1839.
  • Hawthorn, J. (1991). Plausible Worlds: Possibility and Understanding in History and the Social Sciences. Cambridge University Press.
  • King, G. (2011). Ensuring the Data-Rich Future of the Social Sciences. Science, 331(6018), 719–721.
  • Long, J. and Ferrie, J. (2013). Intergenerational Occupational Mobility in Great Britain and the United States Since 1850. The American Economic Review, 103(4), 1109–1137.
  • Lee, H. and Chen, S. (2006). Why use Markov-switching models in exchange rate prediction. Economic Modelling, 23, 662–668.
  • Mejia, J. (2018). Social Networks and Entrepreneurship. Evidence from a Historical Episode of Industrialization (http://wehc2018.org/wp-content/uploads/2018/07/Mejia.pdf – Access Date: 18.08.2018).
  • Nunn, N. and Qian, N. (2011). The Potato’s Contribution to Population and Urbanization: Evidence from a Historical Experiment. The Quarterly Journal of Economics, 126, 593–650.
  • Pomeranz, K. (2006). China, Europe and Industrialization in Unmaking the West: “What-If” Scenarios that Rewrite World History, ed. Philip E. Tetlock, Richard Ned Lebow, and Geoffrey Parker. University of Michigan Press.
  • Ranson, R. (2005). The Confederate States of America: What Might Have Been. New York: W.W. Norton.
  • Ruggles, S., Roberts, E., Sarkar, S. and Sobek, M. (2011). The North Atlantic Population Project: Progress and Prospects. Historical Methods: A Journal of Quantitative and Interdisciplinary History, 44(1), 1–6.
  • Ruggles, S., Genadek, K., Goeken, R., Grover, J. and Sobek, M. (2015). Integrated Public Use Microdata Series: Version 6.0 (Machine-Readable Database). Minneapolis, Minn.:University of Minnesota.
  • Shalev-Shwartz, S. and Ben-David, S. (2014). Understanding Machine Learning: From Theory to Algorithms. Cambridge University Press.
  • Squire, J. (1931). If It Had Happened Otherwise. Longmans, Green.
  • Springer-Verlag, L. Inc.; (1999). Numerical Analysis for Statisticians.
  • Thompson, W. (2010). The Lead Economy Sequence in World Politics (from Sung China to the United States): Selected Counterfactuals. Journal of Globalization Studies, 1(1), 6–28.
  • Turchin, P., Brennan, R., Currie, T., Feeney, K., Francois, P. Hoyer, D. and Manning, J. (2015). Seshat: The Global History Databank. Cliodynamics: The Journal of Quantitative History and Cultural Evolution, 6 (1).
  • Van Zanden, L., Baten, J. and van Leeuwen, P. (2014). The Changing Shape of Global Inequality 1820–2000; Exploring a New Dataset. Review of Income and Wealth Series, 60(2).
  • Wrigley, E. A., and Schofield, R. S. (1989). The Population History of England 1541– 1871. Cambridge University Press.
Publisher: Ltd. "Humanitarian perspectives"
Founder: Ltd. "Humanitarian perspectives"
Online-ISSN: 2412-6039
ISSN: 2076-6297