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Assessing the Soviet oil economy.

Keaton, Charles Grant.

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Assessing the Soviet oil economy.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Assessing the Soviet oil economy./
Author:	Keaton, Charles Grant.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
Description:	78 p.
Notes:	Source: Masters Abstracts International, Volume: 56-02.
Contained By:	Masters Abstracts International56-02(E).
Subject:	Slavic studies. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10163373
ISBN:	9781369180657

Assessing the Soviet oil economy.
Keaton, Charles Grant.

Assessing the Soviet oil economy. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 78 p.

Source: Masters Abstracts International, Volume: 56-02.

Thesis (M.A.)--Georgetown University, 2016.

This research evaluates the methodologies used by four leading macroeconomic models---SOVMOD, SOVSIM, the RAND model, and the Decision Sciences Application model---to study the Soviet oil economy, a key yet opaque sector of the overall Soviet economy. In particular, the assessment focuses on how and with what success the models used trend analysis, optimization, bottleneck analysis, production functions, and total factor productivity. The research finds that techniques which relied on aggregate macroeconomic measures did not correspond to Soviet oil production as closely as more detailed methods using intermediate products. This finding is worthy of consideration in the present day, as countries with less transparent economic structures, in particular the People's Republic of China, are influencing international relations through economic size and complexity. Such a finding provides insight into the successes and the limitations of techniques used to measure that which cannot be directly measured.

ISBN: 9781369180657Subjects--Topical Terms:

3171903
Slavic studies.

Assessing the Soviet oil economy.
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100 1 $a Keaton, Charles Grant. $0 (orcid)0000-0003-0080-8408 $3 3282540
245 1 0 $a Assessing the Soviet oil economy.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2016
300 $a 78 p.
500 $a Source: Masters Abstracts International, Volume: 56-02.
500 $a Adviser: Thane E. Gustafson.
502 $a Thesis (M.A.)--Georgetown University, 2016.
520 $a This research evaluates the methodologies used by four leading macroeconomic models---SOVMOD, SOVSIM, the RAND model, and the Decision Sciences Application model---to study the Soviet oil economy, a key yet opaque sector of the overall Soviet economy. In particular, the assessment focuses on how and with what success the models used trend analysis, optimization, bottleneck analysis, production functions, and total factor productivity. The research finds that techniques which relied on aggregate macroeconomic measures did not correspond to Soviet oil production as closely as more detailed methods using intermediate products. This finding is worthy of consideration in the present day, as countries with less transparent economic structures, in particular the People's Republic of China, are influencing international relations through economic size and complexity. Such a finding provides insight into the successes and the limitations of techniques used to measure that which cannot be directly measured.
590 $a School code: 0076.
650 4 $a Slavic studies. $3 3171903
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710 2 $a Georgetown University. $b Eurasian, Russian, and East European Studies. $3 3282541
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856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10163373