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Institution

London School of Economics and Political Science

EducationLondon, United Kingdom
About: London School of Economics and Political Science is a education organization based out in London, United Kingdom. It is known for research contribution in the topics: Population & Politics. The organization has 8759 authors who have published 35017 publications receiving 1436302 citations.


Papers
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Journal ArticleDOI
TL;DR: The authors survey theoretical developments in the literature on the limits of arbitrage, and nest within a simple model, the following costs faced by arbitrageurs: (a) risk, both fundamental and non-fundamental; (b) short selling costs; (c) leverage and margin constraints; and (d) constraints on equity capital.

348 citations

Journal ArticleDOI
TL;DR: In this article, students' views on the meaning of inequality comparisons were elicited by means of a questionnaire involving both numerical and verbal questions, and the responses suggest that two important axioms -the principle of transfers and decomposability -were not universally accepted.

348 citations

Journal ArticleDOI
TL;DR: The future of hydrological sciences : A (common) path forward? A call to action aimed at understanding velocities, celerities and residence time distributions of the headwater hydrograph.
Abstract: Debates-The future of hydrological sciences : A (common) path forward? A call to action aimed at understanding velocities, celerities and residence time distributions of the headwater hydrograph

347 citations

Journal ArticleDOI
TL;DR: In this paper, the authors argue that companies may enter foreign environments either incrementally, as suggested by long-established theory, or by taking larger steps that may result in lower initial performance but, through learning and experience, lead to increased performance in future expansions.
Abstract: We argue that companies may enter foreign environments either incrementally, as suggested by long-established theory, or by taking larger steps that may result in lower initial performance but, through learning and experience, lead to increased performance in future expansions. This idea is corroborated by the experience of Dutch companies entering into Central and Eastern Europe. We also find that expansion steps may be too large, thereby limiting the exploration of foreign environments. Our study suggests that sequential internationalisation strategies do still matter, and that companies have to balance exploitation and exploration in internationalisation.

347 citations

Journal ArticleDOI
TL;DR: In this paper, the Monte Carlo maximum likelihood (MCMCMC) method is used to estimate stochastic volatility (SV) models, which can be expressed as a linear state space model with log chi-square disturbances and decompose it into a Gaussian part, constructed by the Kalman filter, and a remainder function whose expectation is evaluated by simulation.

347 citations


Authors

Showing all 9081 results

NameH-indexPapersCitations
Ichiro Kawachi149121690282
Amartya Sen149689141907
Peter Hall132164085019
Philippe Aghion12250773438
Robert West112106153904
Keith Beven11051461705
Andrew Pickles10943655981
Zvi Griliches10926071954
Martin Knapp106106748518
Stephen J. Wood10570039797
Jianqing Fan10448858039
Timothy Besley10336845988
Richard B. Freeman10086046932
Sonia Livingstone9951032667
John Van Reenen9844040128
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023135
2022457
20212,030
20201,835
20191,636
20181,561