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Методы пространственной эконометрики и оценка эффективности государственных программ
Прикладная эконометрика. 2021. № 4(64). С. 107-134.
The article provides an overview of the main spatial-econometric models and notes the shortcomings that limit their application to the description of the processes taking place in large heterogeneous countries, such as Russia. The main approaches and modifications of the models are given, which make it possible to take into account Russian conditions, and a brief description of the basic articles is given in which spatial-econometric toolkit is applied to Russian data. A very promising direction in the development of spatial-econometric methods is the improvement of methods for assessing of government programs, therefore, the article describes the main approaches how to do this.
Keywords: спилловер-эффектыроссийские регионыpropensity score matchingmatchingпространственная эконометрика spatial econometricsspatial lagsпространственные лагимэтчингspatial weighting matrixвзвешивающая матрица Russian regions пространственно-эконометрические моделиSpillover effectsметод «разность разностей»Moran's indexиндекс Моранаметод синтетической контрольной группыdifference-in-differences methodspatial-econometric modelsGeary's indexGetis–Ord indexdirect marginal effectsindirect marginal effectsgeographic discontinuous designmethod of synthetic control groupиндекс Гирииндекс Гетиса–Ордапрямые предельные эффектыкосвенные предельные эффектыгеографический разрывный дизайнподбор контрольной группы по индексу соответствия
Ivanova V., Квантиль 2019 № 14 С. 53-62
GRP and environmental pollution in the Russian regions: spatial econometric analysis
The paper provides empirical estimation of the relationship between per capita income and per capita pollutant emissions in Russian regions taking into account their spatial interdependence. I show that the pollutant emissions in the Russian regions are spatially autocorrelated. The estimation results confirm an inverted U-shaped ...
Added: June 19, 2019
Demidova O., Economy of Region 2021 Vol. 17 No. 4 P. 1151-1165
The Strategy of Spatial Development of the Russian Federation until 2025 aims at the economic growth acceleration and reduction of the intra-regional socio-economic differences. Therefore, the factors affecting the economic growth of regions, convergence of regions, spillover effects from the neighbouring regions are of importance. Russian regions are very different and do not converge to ...
Added: February 16, 2022
Ермаков А. В., Merzlyakov S., Горизонты экономики 2016 Т. 5 № 31 С. 46-54
This paper analyzes the regional debt problem in the context of spatial effects in Russian regions. Using spatial econometrics, we determine the key socio-economic factors of the regional debt accumulation. We show that an increase in the debt in one region affects the debt accumulation in the neighbor regions. We also find that regional debt ...
Added: November 10, 2016
Rodina A., / Высшая школа экономики. Series WP3 "Проблемы рынка труда". 2021. No. 2491.
In 2018, the official retirement age in Russia was abruptly raised from 60 to 65 for men and from 55 to 60 for women. The rise was motivated by the necessity to keep the deficit of the Russian Pension Fund, caused by population ageing and a shrinking labor force, under control. During years preceding this ...
Added: June 18, 2021
Demidova O., Прикладная эконометрика 2014 Т. 34 № 2 С. 19-35
The present study suggests a generalization of the spatial autoregressive model for the case when considered regions are split into two different groups, which have a mutual influence on each other. The weighted matrix in this model is split into four parts and four spatial coefficients are estimated. The proposel model is applied for the ...
Added: April 21, 2014
Шевченко Е. С., Пространственная экономика 2021 Т. 17 № 1 С. 123-143
The influence of demographic processes on the inflation rate in Russian regions is reviewing. The hypothesis of heterogeneous influence of the population of different age groups on the inflation rate are testing. Such influence can be explained by the different behavior of age groups concerning consumption, inflation expectations, as well as other factors that determine ...
Added: March 30, 2021
Aistov A., Aleksandrova E., Прикладная эконометрика 2014 Т. 34 № 2 С. 56-79
The work is devoted to estimates of individual returns to additional professional training (APT) on the example of a metallurgical enterprise of Sverdlovsk region of 2006–2010. We compare results of the OLS, fixed effects and difference-in-differences estimators. APTs that expand possibilities of intra firm mobility showed statistically significant influence on wages. The types of training ...
Added: July 22, 2014
Demidova O., Karnaukhova E., Коршунов Д. А. et al., Вопросы экономики 2021 № 6 С. 77-102
We analyze the heterogeneous influence that monetary policy has on the growth rates of real personal income in 79 Russian regions over the period from 2Q2015 to 4Q2019, taking into account some of the channels of monetary policy transmission mechanism and spatial effects. The analysis was performed on the basis of panel data and a ...
Added: June 11, 2021
Semerikova E. V., Горизонты экономики 2016 № 6 (32) С. 63-67
The paper briefly reviews applications, devoted to the regional data analysis, where spatial dependence between regions is taken into account with the help of spatial econometric methods. The focus is on the existing studies of regional labor markets, but the review of the literature on the spatial analysis of Russian regions is also included ...
Added: September 13, 2018
Ratnikova T. A., Gladysheva A. A., Экономический журнал Высшей школы экономики 2014 Т. 18 № 2 С. 285-327
Food industry plays a key role in each country. That is why the process of globalization makes the problem of ensuring safe production vary important, especially while attracting foreign capital. In this article the two mechanisms of the FDI distribution in Russian food industry companies are discussed. Special econometric tools for this analysis are also ...
Added: September 11, 2014
Zazdravnykh E., Вестник Санкт-Петербургского университета. Серия 5. Экономика 2020 Т. 36 № 4 С. 579-600
This study investigates the effect of a twofold rise in fixed payments on sole-proprietors and entrepreneurial activity in 2013 and a twofold decline in these payments in 2014. The paper considers consequences of this decision for various facets of entrepreneurship: the presence of small and medium enterprises in an economy, the new business entries, and ...
Added: March 4, 2021
Myasnikov A., Экономика региона 2018 Т. 14 № 4 С. 1168-1180
The article investigates the major determinants of total factor productivity of Russian regions, in particular, the role of
spillovers and agglomeration effects. Agglomeration effects are found to be important in regions located in the European part of Russia and in regions with low shares of extraction in the gross regional product (GRP): employment density in such ...
Added: March 29, 2019
Bolshakov N., Prisyazhniuk D., Iarskaia-Smirnova E. R., Мониторинг общественного мнения: Экономические и социальные перемены 2021 № 3 С. 424-449
The article offers sociological perspective on the reform of social services in the Russian regions frames of the New Public Management (NPM) in the context of the developing inter-sector cooperation in the emerging quasi-markets of social services. These reforms imply not only the renewal of management philosophy and tools, but also changes at the cultural ...
Added: May 24, 2021
Mkrtchyan N. V., Vakulenko E., Geo Journal 2019 Vol. 84 No. 6 P. 1549-1565
This paper explores age-specific migration flows between regions of Russia. Using age-disaggregated data of the Russian Census 2010, we cluster interregional migration flows based on prevailing age-groups of migrants, analyse diversity and similarity in the choice of age-specific migration destinations and describe general socio-economic characteristics of these flows. It is for the first time that ...
Added: October 2, 2018
Ivanova V., Annals of Regional Science 2018 Vol. 61 No. 1 P. 1-30
This paper provides an empirical test of spatial wage convergence in Russian cities. Using geo-coded data covering 997 Russian cities and towns from 1996 to 2013, I show that real city wages (i) converge over time and (ii) are significantly affected by the initial levels of real wages in neighboring cities. I also find that ...
Added: October 22, 2017
Demidova O., Kayasheva E., Demyanenko A., Пространственная экономика 2021 Т. 17 № 1 С. 97-122
The aim of this paper was to investigate the influence of an increase in government healthcare expenditures on regional economic growth in Russia. Studies have shown that an increase in healthcare expenditures stimulate an increase in GDP through several channels. Firstly, it improves the quality of labor force, which can lead to an increase in ...
Added: September 18, 2021
Терещенко Д. С., Щербаков В. С., Вестник Тюменского государственного университета. Социально-экономические и правовые исследования 2018 Т. 4 № 3 С. 213-230
Nowadays the question of interregional comparison in case of innovation development and identification of causes of differentiation between the Russian regions in this aspect has very high priority. The section devoted to publication activity is one of the crucial parts of different innovation ratings and scoreboards. Publication activity is very significant factor which prepares ground ...
Added: December 27, 2018
Sascha Sardadvar, Vakulenko E., Socio-Economic Planning Sciences 2020 Vol. 69 P. 1-14
The present article follows two objectives. First, to apply a recently developed spatial interaction model and discuss its power in explaining social developments. Second, to obtain information on internal migration'sdeterminants in Russia by taking into account that its eastern and western regions differ in many respects. Two alternative panel specifications are considered, labelled “spatial interaction specification ...
Added: February 20, 2019
Kirillov A. M., Пространственная экономика 2017 № 4 С. 41-58
Spatial interactions among modelling economic variables observed in spatially
distributed units (due to their economic and trade relations) may be considered as an
additional explanatory variable in a regression model (which generally prevents from
its misspecification). Usually, spatial interactions are included in a regression in the
form of spatial lag. In this paper we conduct a spatial econometric analysis ...
Added: December 26, 2017
Elena V. Semerikova, Anastasia O. Blokhina, Nastansky A., Economy of Region 2023 Vol. 19 No. 3 P. 919-933
Germany is characterised by heterogeneous regional development in various economic spheres, including housing markets. Differences in housing prices persist during decades, causing unde- sirable inequality, affecting migration and employment patterns. The purpose of this work is to identify regional factors which affect regional housing prices in Germany. The peculiarity of the study is the con- ...
Added: November 7, 2023
Sardadvar S., Vakulenko E., Review of Urban and Regional Development Studies 2016 Vol. 28 No. 2 P. 123-141
The aim of this paper is to identify the determinants of migration within Russia by distinguishing between eastern (Asian) and western (European) regions. Using Russian official data for the observation period 2001–2010, we estimate non-spatial panel and spatial panel lag of X model regressions for migration rates of 78 Russian regions with fixed effects. We ...
Added: May 17, 2016
Жукова А. К., Silaev A. M., В кн. : Системное моделирование социально-экономических процессов: труды 40-ой Юбилейной международной научной школы-семинара имени академика С.С. Шаталина. : Воронеж : Истоки, 2017. С. 357-360.
The paper examines the influence of various socio-economic and environmental factors on the life expectancy and mortality of the Russian population using regional data in 2014. With the help of spatial econometrics the authors show that there are differences in the models of life expectancy for men and women, as well as for residents from ...
Added: October 31, 2018
Semerikova E. V., Demidova O., Пространственная экономика 2015 № 2 С. 64-85
This paper analyzes the regional unemployment in Russia and Germany in 2005–2010 and addresses issues of choosing the right specification of spatial-econometric models. The analysis based on data of 75 Russian and 370 German regions showed that for Germany the choice of the spatial weighting matrix has a more significant influence on the parameter estimates ...
Added: June 19, 2015
Demidova O., Ivanov D., Экономический журнал Высшей школы экономики 2016 Т. 20 № 1 С. 52-75
The fundamental idea underpinning spatial econometric models of economic growth is as follows: regional growth is determined not only by social, economic, geographic traits of a region but also by spillovers from other regions, most importantly adjacent ones. If one region starts booming, it can left neighbors unaffected (neutral mechanism), spur their growth (cooperation mechanism) ...
Added: April 22, 2016