Estimation of welfare costs of inflation: The case of Russia

Author:

Drobyshevskiy Sergey M.1ORCID,Makeeva Natalia V.2ORCID,Sinelnikova-Muryleva Elena V.2ORCID,Trunin Pavel V.3ORCID

Affiliation:

1. Gaidar Institute for Economic Policy

2. Russian Presidential Academy of National Economy and Public Administration

3. Gaidar Institute for Economic Policy; Russian Presidential Academy of National Economy and Public Administration

Abstract

This paper is devoted to the estimation of welfare costs of inflation, taking into account the peculiarities of the Russian economy. Theoretical approaches that are used in the literature to analyze the costs of inflation are discussed in the paper. It also provides an overview of the empirical studies of this topic. Research found in academic literature shows that the results of quantitative estimates are extremely sensitive to the choice of the functional form of the money demand equation, as well as to assumptions that are made to simplify the analysis, some of which do not fit Russian data. As a result, we have modified the standard approaches to estimating welfare costs of inflation, taking into account the monetization growth in Russia, and provide quantitative estimates of the magnitude of welfare costs of inflation. The results indicate a significant gain for economic agents in terms of real GDP with a decrease in inflation, which is regarded as a positive effect from the inflation targeting policy.

Publisher

NP Voprosy Ekonomiki

Subject

Economics and Econometrics,Finance

Reference33 articles.

1. Bozhechkova A., Petrova D., Sinelnikova-Muryleva E., Trunin P., Chentsov A. (2018). Building models of money and foreign exchange markets (Research Paper No. 175P). Moscow: Gaidar Institute for Economic Policy. (In Russian).

2. Devyatov A., Ponomarenko S. (2004). The welfare costs of inflation in Russia (Preprint). Moscow: New Economic School. (In Russian).

3. Drobyshevsky S., Kuzmicheva G., Sinelnikova E., Trunin P. (2010). Modeling monetary demand in the Russian economy over 1999—2008 (Research Paper No. 136P). Moscow: Institute for the Economy in Transition. (In Russian).

4. Sinelnikova-Muryleva E. (2012). Estimation of the demand for money taking into account the development of banking technologies. Ekonomicheskaya Politika, No. 4, pp. 22—38. (In Russian).

5. Sinelnikova-Muryleva E., Grebenkina A. (2019). Optimal inflation and inflation targeting: International experience. Finance: Theory and Practice , Vol. 23, No. 1, pp. 49—65. (In Russian). https://doi.org/10.26794/2587-5671-2019-23-1-49-65

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3