Methodical issues of the database construction for the dynamic input-output model with a human capital block

Abstract

Economic models are constantly being developed and dynamic input-output models are not the exception. Scientists from different countries are working on construction of extended IO models. One of the topical direction of the extension is an including of a human capital block to the models. The extended IO model with a human capital block requires a development of the special database. At the article some methodical issues of preparing the data for the extended dynamic input-output model with a human capital block are discussing. The data derived will allow to continue calculations with the extended model. It will help to use the model to forecast more efficiently development and growth of Russian economy.

References:

1. Zhang H., Chen X. An Extended Input–Output Model on Education and the Shortfall of Human Capital in China. Economic Systems Research, 2008, vol. 20, no. 2, p. 205–221. 
2. Chen X., Guo J. E., and Yang C. Chinese Economic Development and Input-Output Extension. International Journal of Applied Economics and Econometrics, 2004, vol. 12, no. 1, p. 43–88. 
3. Baranov A. O. Investitsionnyy lag v vosproizvodstve obshchestvennogo produkta i fondov [Investment lag in the reproduction of the social product and funds]. Novosibirsk, Nauka Publ., 1991, 232 p. (in Russ.) 
4. Baranov A. O., Gilmundinov V. M., Pavlov V. N. Issledovanie ekonomiki Rossii s ispolzovaniem mezhotraslevykh modelei [Analysis of the Russian economy with the use of interindustry models]. Novosibirsk, Nauka, Sibirskoe otdelenie, 2001, 197 p. (in Russ.) 
5. Tagaeva T. O. Dinamicheskaya mezhotraslevaya model' s blokom okhrany okruzhayushchey sredy [The dynamic interindustry model with environmental protection block]. Sistemnyy analiz vosproizvodstva [System analysis]. Eds. V. N. Pavlov, A. O. Baranov. Novosibirsk, Institute of Economics and Industrial Engineering SB RAS Publ., 1992, p. 67–84. (in Russ.) 
6. Issledovanie ekonomiki Rossii s ispol'zovaniem modeley s nechetkimi parametrami [Analysis of the Russian economy with the use of models with fuzzy parameters]. Eds. A. O. Baranov, V. N. Pavlov; Novosibirsk, Novosibirsk State Uni. Press, 2009, 236 p. (in Russ.) 
7. Ozerov V. K., Pavlov V. N., Baranov A. O. Dinamicheskaya mezhotraslevaya model' s uchetom dlitel'nosti perioda vosproizvodstva osnovnykh fondov [The dynamic interindustry model with the duration of the period of reproduction of fixed assets]. Ekonomika i matematicheskie metody [Economics and Mathematical Methods], 1987, vol. 23, no. 1, p. 87–94. (in Russ.) 
8. Baranov A. O., Pavlov V. N., Slepenkova Yu. M. Construction of a dynamic input-output model with a human capital block. World of Economics and Management, 2017, vol. 1, no. 17, p. 14–25. (in Russ.) 
9. Dannye ob ispolnenii konsolidirovannogo biudzheta [The use of the consolidated budget]. Ministry of Finance of the Russian Federation. 
10. Konsolidirovannyi biudzhet Rossiiskoi Federatsii i biudzhetov gosudarstvennykh vnebiudzhetnykh fondov [The consolidated budget of the Russian Federation and budgets of state off-budget funds]
11. Federal State Statistics Service
12. Obrazovanie v Rossii [Education in Russia. Statistics]. Goskomstat Rossii. Moscow, 2003, 414 p. (in Russ.) 
13. Uziakova E. S. Analiz i prognozirovanie zaniatosti i zatrat truda v rossiiskoi ekonomike [Analysis and forecasting of employment and labor input in the Russian economy]. Problemy prognozirovaniia [Forecasting Problems], 2015, no. 4, p. 58–70. (in Russ.) 
14. Indikatory obrazovaniya. 2016. Statisticheskii sbornik [Education indicators. 2016. Statistics]. Moscow, NRU HSE, 2016, 152 p. (in Russ.) 
15. Dhrymes Ph. Distributed Lags: Problems of Estimation and Formulation. Moscow, Economika Publ., 1974, 270p. (in Russ.) 
16. Kapeliushnikov R. I. Skolko stoit chelovecheskii kapital Rossii? Chast I [Russia’s Human Capital: What Is It Worth? (Part I)]. Voprosy ekonomiki [Problems of Economic Transition], 2013, no. 1, p. 27–47. (in Russ.) 
17. Berlemann M., Wesselhöft J. Estimating Aggregate Capital Stocks Using the Perpetual Inventory Method. Review of Economics, 2016, no. 65 (1), p. 1–34. DOI 10.1515/roe-2014- 0102. 
18. Fuente A. D., Domenech R. Human Capital in Growth Regressions: How Much Difference Does Data Quality Make? Economics Department Working Paper, 262. OECD. Paris, 2000.