Alexander Goryunov, Elena Ageshina, Igor Lavrentev, Polina Peretyatko
{"title":"评估俄罗斯远东地区发展政策的效果:综合控制方法","authors":"Alexander Goryunov, Elena Ageshina, Igor Lavrentev, Polina Peretyatko","doi":"10.22394/1993-7601-2023-72-58-72","DOIUrl":null,"url":null,"abstract":"In 2014 Russian government enacted an ambitious policy of the “accelerated development” of the Far East. A number of special legal provisions, tax incentives and investment programs have been introduced as part of that policy. Several studies have since attempted to estimate the impact of the policy on the region’s economy using intertemporal or interregional comparisons of outcomes, with most studies finding there to be no significant impact. We use the synthetic control method to arrive at a quantitative estimate of the policy’s effect on the real per capita GRP of the Far East in 2014–2019. Using a pool of 59 regions to construct a counterfactual baseline and controlling for the overall level of higher education, share of the raw materials industry, share of investment in GRP and the share of working age population, we estimate that the policy had resulted in the creation of around 93 billion rubles of additional GRP in the Far East during 2014–2019. We also propose a procedure for estimating the statistical significance of the result in the case when Fischer’s Exact Test, which is normally used with synthetic controls, is not applicable due to the composition of the treated object. Using our proposed procedure, we find that our estimate of the policy’s effect is statistically significant at the 5% level.","PeriodicalId":8045,"journal":{"name":"Applied Econometrics","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimating the effect of Russia’s development policy in the Far Eastern region: The synthetic control approach\",\"authors\":\"Alexander Goryunov, Elena Ageshina, Igor Lavrentev, Polina Peretyatko\",\"doi\":\"10.22394/1993-7601-2023-72-58-72\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In 2014 Russian government enacted an ambitious policy of the “accelerated development” of the Far East. A number of special legal provisions, tax incentives and investment programs have been introduced as part of that policy. Several studies have since attempted to estimate the impact of the policy on the region’s economy using intertemporal or interregional comparisons of outcomes, with most studies finding there to be no significant impact. We use the synthetic control method to arrive at a quantitative estimate of the policy’s effect on the real per capita GRP of the Far East in 2014–2019. Using a pool of 59 regions to construct a counterfactual baseline and controlling for the overall level of higher education, share of the raw materials industry, share of investment in GRP and the share of working age population, we estimate that the policy had resulted in the creation of around 93 billion rubles of additional GRP in the Far East during 2014–2019. We also propose a procedure for estimating the statistical significance of the result in the case when Fischer’s Exact Test, which is normally used with synthetic controls, is not applicable due to the composition of the treated object. Using our proposed procedure, we find that our estimate of the policy’s effect is statistically significant at the 5% level.\",\"PeriodicalId\":8045,\"journal\":{\"name\":\"Applied Econometrics\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Econometrics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22394/1993-7601-2023-72-58-72\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Econometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22394/1993-7601-2023-72-58-72","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
Estimating the effect of Russia’s development policy in the Far Eastern region: The synthetic control approach
In 2014 Russian government enacted an ambitious policy of the “accelerated development” of the Far East. A number of special legal provisions, tax incentives and investment programs have been introduced as part of that policy. Several studies have since attempted to estimate the impact of the policy on the region’s economy using intertemporal or interregional comparisons of outcomes, with most studies finding there to be no significant impact. We use the synthetic control method to arrive at a quantitative estimate of the policy’s effect on the real per capita GRP of the Far East in 2014–2019. Using a pool of 59 regions to construct a counterfactual baseline and controlling for the overall level of higher education, share of the raw materials industry, share of investment in GRP and the share of working age population, we estimate that the policy had resulted in the creation of around 93 billion rubles of additional GRP in the Far East during 2014–2019. We also propose a procedure for estimating the statistical significance of the result in the case when Fischer’s Exact Test, which is normally used with synthetic controls, is not applicable due to the composition of the treated object. Using our proposed procedure, we find that our estimate of the policy’s effect is statistically significant at the 5% level.
Applied EconometricsEconomics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
0.70
自引率
0.00%
发文量
0
期刊介绍:
The Journal of Applied Econometrics is an international journal published bi-monthly, plus 1 additional issue (total 7 issues). It aims to publish articles of high quality dealing with the application of existing as well as new econometric techniques to a wide variety of problems in economics and related subjects, covering topics in measurement, estimation, testing, forecasting, and policy analysis. The emphasis is on the careful and rigorous application of econometric techniques and the appropriate interpretation of the results. The economic content of the articles is stressed. A special feature of the Journal is its emphasis on the replicability of results by other researchers. To achieve this aim, authors are expected to make available a complete set of the data used as well as any specialised computer programs employed through a readily accessible medium, preferably in a machine-readable form. The use of microcomputers in applied research and transferability of data is emphasised. The Journal also features occasional sections of short papers re-evaluating previously published papers. The intention of the Journal of Applied Econometrics is to provide an outlet for innovative, quantitative research in economics which cuts across areas of specialisation, involves transferable techniques, and is easily replicable by other researchers. Contributions that introduce statistical methods that are applicable to a variety of economic problems are actively encouraged. The Journal also aims to publish review and survey articles that make recent developments in the field of theoretical and applied econometrics more readily accessible to applied economists in general.