Escape Underway? Malthusian Pressures in Late Imperial Moscow
Principal Investigator(s): View help for Principal Investigator(s) Vadim Kufenko, University of Hohenheim; Ekaterina Khaustova, Arizona State University; Vincent Geloso, George Mason University
Version: View help for Version V1
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Replication-data | 05/30/2022 06:28:AM | ||
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application/vnd.openxmlformats-officedocument.wordprocessingml.document | 16.3 KB | 05/30/2022 02:37:AM |
Project Citation:
Kufenko, Vadim, Khaustova, Ekaterina, and Geloso, Vincent. Escape Underway? Malthusian Pressures in Late Imperial Moscow. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-05-30. https://doi.org/10.3886/E171521V1
Project Description
Summary:
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Did late Imperial Russia suffer from Malthusian pressures? At first glance, with its rising levels of population and per capita income, it seems Russia was in a transition away from Malthusian equilibrium. However, the joint increase in population and per capita income could also have been the result of Russia's high land-to-labor ratio. Which of the two is it? Such a problem is a frequent one in economic history, as many frontier economies have high land-to-labor ratios, which foil the researcher's ability to determine whether an economy was transitioning or whether it was growing because of weak land constraints. In this paper, we use quarterly demographic and economic data from Moscow (which we take as a proxy for Russia) in conjunction with a Cointegrated Vector Autoregression approach to determine whether the Russian economy was transitioning away from a Malthusian equilibrium. We find signs of Malthusian pressures still operating while wages had stopped responding to changes in death and birth rates. This combination suggests that a vulnerable transition was truly underway even though a Malthusian shadow remained.
Funding Sources:
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No funding received
Scope of Project
Subject Terms:
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[Malthusian Pressures;
Preventive Check;
Cointegration;
Economic History;
, Late Imperial Russia;
CVAR;
Positive Check;
Time-Series;
]
Geographic Coverage:
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Moscow
Time Period(s):
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1871 – 1910
Data Type(s):
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aggregate data
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