nep-cis New Economics Papers
on Confederation of Independent States
Issue of 2020‒07‒13
five papers chosen by

  1. Impact of Child Subsidies on Child Health, Well-being and Parental Investment in Human Capital: Evidence from Russian Longitudinal Monitoring Survey 2011-2017 By Alex Proshin
  2. Trust in the Healthcare System and COVID-19 Treatment in the Developing World. Survey and Experimental Evidence from Armenia By Armenak Antinyan; Thomas Bassetti; Luca Corazzini; Filippo Pavesi
  3. Republic of Uzbekistan; Technical Assistance Report-External Sector Statistics Mission (September 30-October 11, 2010) By International Monetary Fund
  4. Une lecture institutionnaliste de la réforme du secteur gazier russe By Catherine Locatelli
  5. Real-Time Weakness of the Global Economy: A First Assessment of the Coronavirus Crisis By Leiva, Danilo; Pérez-Quirós, Gabriel; Rots, Eyno

  1. By: Alex Proshin (PSE - Paris School of Economics, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Panthéon-Sorbonne - ENS Paris - École normale supérieure - Paris - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)
    Abstract: This study evaluates the impact of introducing Maternity Capital (MC) program child subsidy of 250,000 Rub (7,150 euros or 10,000 USD, in 2007) for giving birth to /adopting 2nd and subsequent children since January 2007. The reform made it possible for eligible Russian families to allocate these funds to improve family housing conditions, to sponsor children education, or to invest them in mother's retirement fund. The objective of this study is to evaluate the impact of the MC claim eligibility on various child outcomes and household-level consumption patterns. Using data from representative Russian Longitudinal Monitoring Survey 2011-2017, I test regression discontinuity models and find no significant difference in health, educational and well-being outcomes between children raised in MC claim eligible and ineligible families. In addition, no such differences were found in terms of household-level dietary habits and preferences. The results are robust to different and functional, semi- and non-parametric RDD specifications.
    Keywords: child subsidy,child outcomes,Maternity Capital,regression discontinuity
    Date: 2020–05
  2. By: Armenak Antinyan (Wenlan School of Business, Zhongnan University of Economics and Law; National Research University Higher School of Economics, Moscow); Thomas Bassetti (Department of Economics ‘Marco Fanno’, University of Padua); Luca Corazzini (Department of Economics, University Of Venice Cà Foscari; Center for Experimental Research in Management and Economics (CERME)); Filippo Pavesi (School of Economics and Management, LIUC (Carlo Cattaneo University); Stevens Institute of Technology)
    Abstract: Concerns are looming that the healthcare systems in low- and middle-income countries (LMICs) are mostly unprepared to combat COVID-19 because of limited resources. The problems in LMICs are exacerbated by the fact that citizens in these countries generally exhibit low trust in the healthcare system, which could trigger a number of uncooperative behaviors. In this paper, we focus on one such behavior and investigate the relationship between trust in the healthcare system and the likelihood of potential treatment-seeking behavior upon the appearance of the first symptoms of COVID-19. First, we provide motivating evidence from a unique national on-line survey administered in Armenia — a post-Soviet LMIC country. We then present results from a large-scale survey experiment in Armenia that provides causal evidence in support of the investigated relationship. Our main finding is that a more trustworthy healthcare system enhances the likelihood of potential treatment-seeking behavior when observing the initial symptoms.
    Keywords: COVID-19, Epidemic, Healthcare system, Trust, Survey experiment
    JEL: C9 I12 I15
    Date: 2020
  3. By: International Monetary Fund
    Abstract: At the request of the Republic of Uzbekistan authorities for technical assistance (TA) on external sector statistics (ESS), and with the support of the Middle East and Central Asia Department (MCD) of the International Monetary Fund (IMF), a mission from the IMF Statistics Department (STA) visited Tashkent from September 30 through October 11, 2019. This was the second TA mission under the auspices of the Data for Decisions Fund and the third since the Presidential Order of September 12, 2017, on Measures to Ensure the Accessibility and Openness of Economic and Financial Data for the Republic of Uzbekistan was issued.
    Date: 2020–06–04
  4. By: Catherine Locatelli (GAEL - Laboratoire d'Economie Appliquée de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)
    Abstract: Il se dessine en Russie une voie de réforme en accord avec les caractéristiques institutionnelles et politiques de l'économie russe puisqu'elle ne s'apparente pas au processus de libéralisation tel que mis en oeuvre dans l'Union européenne. Ces principales caractéristiques sont le fruit d'une recombinaison entre des anciennes et des nouvelles formes institutionnelles. Ainsi, les processus de sédimentation/hybridation institutionnelles à l'oeuvre dans le secteur gazier r
    Date: 2020–05
  5. By: Leiva, Danilo; Pérez-Quirós, Gabriel; Rots, Eyno
    Abstract: We propose an empirical framework to measure the degree of weakness of the global economy in real-time. It relies on nonlinear factor models designed to infer recessionary episodes of heterogeneous deepness, and fitted to the largest advanced economies (U.S., Euro Area, Japan, U.K., Canada and Australia) and emerging markets (China, India, Russia, Brazil, Mexico and South Africa). Based on such inferences, we construct a Global Weakness Index that has three main features. First, it can be updated as soon as new regional data is released, as we show by measuring the economic effects of coronavirus. Second, it provides a consistent narrative of the main regional contributors of world economy's weakness. Third, it allows to perform robust risk assessments based on the probability that the level of global weakness would exceed a certain threshold of interest in every period of time.
    Keywords: Coronavirus; factor model; International Business Cycles; Nonlinear
    JEL: C22 E27 E32
    Date: 2020–03

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