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Institution

New Economic School

EducationMoscow, Russia
About: New Economic School is a education organization based out in Moscow, Russia. It is known for research contribution in the topics: Population & Competition (economics). The organization has 145 authors who have published 718 publications receiving 16702 citations. The organization is also known as: Russian Economic School (graduate school of economics) & Russian Economic School.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors study the effect of media coverage on corporate governance by focusing on Russia in the period 1999-2002 and find that Hermitage's lobbying is effective in increasing the coverage of corporate governance violations in the Anglo-American press.
Abstract: We study the effect of media coverage on corporate governance by focusing on Russia in the period 1999-2002. This setting offers us three ideal conditions for such a study: plenty of corporate governance violations, no alternative mechanisms to address them, and the presence of an investment fund (the Hermitage) that actively lobbies the international press to shame companies perpetrating those violations. We find that Hermitage's lobbying is effective in increasing the coverage of corporate governance violations in the Anglo-American press. We also find that coverage in the Anglo-American press increases the probability that a corporate governance violation is reversed. This effect is present even when we instrument coverage with an exogenous determinant, i.e. the Hermitage's portfolio composition at the beginning of the period. The Hermitage's strategy seems to work in part by impacting Russian companies' reputation abroad and in part by forcing regulators into action.

660 citations

Journal ArticleDOI
TL;DR: In this article, the authors define bull and bear markets and use an algorithm based on it to sort a given time series of equity prices into periods that can be designated as bull or bear markets.
Abstract: Bull and bear markets are a common way of describing cycles in equity prices. To fully describe such cycles one would need to know the data generating process (DGP) for equity prices. We begin with a definition of bull and bear markets and use an algorithm based on it to sort a given time series of equity prices into periods that can be designated as bull and bear markets. The rule to do this is then studied analytically and it is shown that bull and bear market characteristics depend upon the DGP for capital gains. By simulation methods we examine a number of DGPs that are known to fit the data quite well—random walks, GARCH models, and models with duration dependence. We find that a pure random walk provides as good an explanation of bull and bear markets as the more complex statistical models. In the final section of the paper we look at some asset pricing models that appear in the literature from the viewpoint of their success in producing bull and bear markets which resemble those in the data. Copyright © 2002 John Wiley & Sons, Ltd.

457 citations

01 Jan 2003
TL;DR: In this paper, the authors define bull and bear markets and use an algorithm based on it to sort a given time series of equity prices into periods that can be designated as bull or bear markets.
Abstract: Bull and bear markets are a common way of describing cycles in equity prices. To fully describe such cycles one would need to know the data generating process (DGP) for equity prices. We begin with a definition of bull and bear markets and use an algorithm based on it to sort a given time series of equity prices into periods that can be designated as bull and bear markets. The rule to do this is then studied analytically and it is shown that bull and bear market characteristics depend upon the DGP for capital gains. By simulation methods we examine a number of DGPs that are known to fit the data quite well—random walks, GARCH models, and models with duration dependence. We find that a pure random walk provides as good an explanation of bull and bear markets as the more complex statistical models. In the final section of the paper we look at some asset pricing models that appear in the literature from the viewpoint of their success in producing bull and bear markets which resemble those in the data.

456 citations

Posted Content
TL;DR: In this article, the authors compared electoral outcomes of the 1999 parliamentary elections in Russia among geographical areas with differential access to the only independent from the government national TV channel, which was available to three-quarters of the population and its signal availability was idiosyncratic conditional on observables.
Abstract: This paper compares electoral outcomes of the 1999 parliamentary elections in Russia among geographical areas with differential access to the only independent from the government national TV channel. It was available to three-quarters of Russia’s population and its signal availability was idiosyncratic conditional on observables. Independent TV decreased aggregate vote for the government party by 8.9 percentage points, increased the combined vote for major opposition parties by 6.3 percentage points, and decreased turnout by 3.8 percentage points. The probability of voting for opposition parties increased for individuals who watched independent TV even controlling for voting intentions measured one month before elections.

438 citations

Journal ArticleDOI
Abstract: This paper uses a rich panel dataset of Spanish manufacturing firms (1990-2006) and a propensity score reweighting estimator to show that multinational firms acquire the most productive domestic firms, which, on acquisition, conduct more product and process innovation (simultaneously adopting new machines and organizational practices) and adopt foreign technologies, leading to higher productivity. We propose a model of endogenous selection and innovation in heterogeneous firms that jointly explains the observed selection process and the innovation decisions. Further, we show in the data that innovation on acquisition is associated with the increased market scale provided by the parent firm.

384 citations


Authors

Showing all 156 results

NameH-indexPapersCitations
Victor Chernozhukov7337020588
Vladimir M. Shkolnikov471798755
Jean-Philippe Platteau421499851
Ekaterina Zhuravskaya391508104
Shlomo Weber372414299
David G. Tarr351884632
Mikhail Golosov351045006
Sergei Guriev341654866
Aleh Tsyvinski331103887
Konstantin Sonin331474464
Theo Nijman321345953
Bas J. M. Werker301743695
Ruben Enikolopov25762783
Russell Pittman231172124
Vladimir Popov201692041
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20239
202217
202123
202028
201925
201834