STATISTICAL ESTIMATION OF UNOBSERVED ECONOMIC ACTIVITY
The article researches methods of measuring unobserved economy. The methods being analyzed are based on statistics of households, the method of factual employment, expert method, etc. Each of them has its own advantages and disadvantages and unfortunately cannot provide full characteristics of unobs...
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Plekhanov Russian University of Economics
2017
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oai:doaj.org-article:b81e6a0a6fce466494cb5657855278272021-11-15T05:20:43ZSTATISTICAL ESTIMATION OF UNOBSERVED ECONOMIC ACTIVITY2413-28292587-925110.21686/2413-2829-2016-1-59-69https://doaj.org/article/b81e6a0a6fce466494cb5657855278272017-09-01T00:00:00Zhttps://vest.rea.ru/jour/article/view/120https://doaj.org/toc/2413-2829https://doaj.org/toc/2587-9251The article researches methods of measuring unobserved economy. The methods being analyzed are based on statistics of households, the method of factual employment, expert method, etc. Each of them has its own advantages and disadvantages and unfortunately cannot provide full characteristics of unobserved economy indicators. The author comes to the conclusion about the necessity to develop a common methodology for assessing shadow economy in order to come closer to the exact estimation of GDP and other macro-economic figures, to find the concealed share of the real sector of economy and to identify the scale of country 'shadowing'. True information about the shadow share of economy can help to take measures to normalize Russian economy.Galina V. AgentovaPlekhanov Russian University of Economicsarticleinformal economyshadow economyhouseholdsmacro-economic figuresunregistered economic activitypre-estimated parametersmethods of estimating unobserved economycriteria of data trustworthinessEconomics as a scienceHB71-74RUВестник Российского экономического университета имени Г. В. Плеханова, Vol 0, Iss 1, Pp 59-69 (2017) |
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informal economy shadow economy households macro-economic figures unregistered economic activity pre-estimated parameters methods of estimating unobserved economy criteria of data trustworthiness Economics as a science HB71-74 |
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informal economy shadow economy households macro-economic figures unregistered economic activity pre-estimated parameters methods of estimating unobserved economy criteria of data trustworthiness Economics as a science HB71-74 Galina V. Agentova STATISTICAL ESTIMATION OF UNOBSERVED ECONOMIC ACTIVITY |
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The article researches methods of measuring unobserved economy. The methods being analyzed are based on statistics of households, the method of factual employment, expert method, etc. Each of them has its own advantages and disadvantages and unfortunately cannot provide full characteristics of unobserved economy indicators. The author comes to the conclusion about the necessity to develop a common methodology for assessing shadow economy in order to come closer to the exact estimation of GDP and other macro-economic figures, to find the concealed share of the real sector of economy and to identify the scale of country 'shadowing'. True information about the shadow share of economy can help to take measures to normalize Russian economy. |
format |
article |
author |
Galina V. Agentova |
author_facet |
Galina V. Agentova |
author_sort |
Galina V. Agentova |
title |
STATISTICAL ESTIMATION OF UNOBSERVED ECONOMIC ACTIVITY |
title_short |
STATISTICAL ESTIMATION OF UNOBSERVED ECONOMIC ACTIVITY |
title_full |
STATISTICAL ESTIMATION OF UNOBSERVED ECONOMIC ACTIVITY |
title_fullStr |
STATISTICAL ESTIMATION OF UNOBSERVED ECONOMIC ACTIVITY |
title_full_unstemmed |
STATISTICAL ESTIMATION OF UNOBSERVED ECONOMIC ACTIVITY |
title_sort |
statistical estimation of unobserved economic activity |
publisher |
Plekhanov Russian University of Economics |
publishDate |
2017 |
url |
https://doaj.org/article/b81e6a0a6fce466494cb565785527827 |
work_keys_str_mv |
AT galinavagentova statisticalestimationofunobservedeconomicactivity |
_version_ |
1718428772288430080 |