GTAP Resources: Resource Display
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"Bayesian Estimation of Input-Output Tables for Russia" by Potashnikov, Vladimir, Oleg Lugovoy and Andrey Polbin Abstract Russian statistical system is under transition for almost two decades from Soviet type Material Product System to SNA. The main transitional break in methodology took place in 2004-2005 when Russian statistical agency “Rosstat” started reporting based on the new definition of economic sectors consistent with NACE§, and stopped reporting using definition of activities inherited from the Soviet statistical system. This methodological break splits all industry level statistics into two periods with little consistency between each other. As a result, Rosstat stopped updating IOT in 2003, based on the only benchmark survey conducted in 1995. The next survey is scheduled for 2012 with expected publication of results in 2015 or later. Official backward estimation is not expected. Therefore Russian statistics will miss IOT at least from 2004 to 2010. Also quality of officially updated IOT from 1996 to 2003 based on 1995 benchmark is questionable. The paper pursues several goals. First, to apply Bayesian statistics for updating IO tables for 1996-2004 period, i.e. within “old” definition of industries. Second, we apply Monte Carlo Markov Chains (MCMC) methods to disaggregate available in NACE classification SUTs (2004 to 2006, 15 products by 15 activities) into larger 69 by 69 format. Third, since the 15x15 SUTs are published by Rosstat as preliminary estimates, they are not fully consistent with other available national accounts data, such as output and value added by industries. To take into account the data uncertainty, we introduce a measurement error for the aggregated io-coefficients. As result, we estimate posterior distribution of input-output coefficients for aggregated and disaggregated matrices, which are consistent with yearly national accounts information. Forth, we update the estimated 15x15 and 69x69 matrices for 2007-2011 period using proposed sampling methods. Also we discuss potential ways to improve the estimates imposing additional constrains and li... |
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- Calibration and parameter estimation - Other data bases and data issues |
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Public Access  GTAP Resource 4132 (616.0 KB) Replicated: 0 time(s) GTAP Resource 4132 (616.0 KB) Replicated: 0 time(s)Restricted Access No documents have been attached. Special Instructions No instructions have been specified. |
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Last Modified: 9/15/2023 2:05:45 PM
