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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: This intervention could be used with or as a potential alternative to health-worker-led interventions, and presents new opportunities for policy makers to improve maternal and newborn health outcomes in poor populations.

484 citations

Journal ArticleDOI
TL;DR: This article showed that the curse may be a manifestation of the inability of governments to manage large resource revenues sustainably, and that the countries where growth has lagged are those where the combination of natural resource, macroeconomic and public expenditure policies have led to a low rate of genuine saving.

484 citations

Journal ArticleDOI
TL;DR: To draw causal inferences about a target population, which method is best depends case-by-case on what background knowledge the authors have or can come to obtain, including the hypothetico-deductive method.
Abstract: The claims of randomized controlled trials (RCTs) to be the gold standard rest on the fact that the ideal RCT is a deductive method: if the assumptions of the test are met, a positive result implies the appropriate causal conclusion. This is a feature that RCTs share with a variety of other methods, which thus have equal claim to being a gold standard. This article describes some of these other deductive methods and also some useful non-deductive methods, including the hypothetico-deductive method. It argues that with all deductive methods, the benefit that the conclusions follow deductively in the ideal case comes with a great cost: narrowness of scope. This is an instance of the familiar trade-off between internal and external validity. RCTs have high internal validity but the formal methodology puts severe constraints on the assumptions a target population must meet to justify exporting a conclusion from the test population to the target. The article reviews one such set of assumptions to show the kind of knowledge required. The overall conclusion is that to draw causal inferences about a target population, which method is best depends case-by-case on what background knowledge we have or can come to obtain. There is no gold standard.

483 citations

Journal ArticleDOI
TL;DR: In this article, the authors provide some context for the emergence of "mediatization" as a key theoretical concept for contemporary media and communications research, and offer some reasons why it now deserves the full attention of scholars of communication theory.
Abstract: Why ‘mediatization’ as a topic for communication theory now? This rather ungainly word has been rising in prominence for the past decade, but many readers of this journal may still want to ask: What does it mean? What does it add to communications theory? And is it necessary at all? The purpose of this introduction to the special issue – apart from introducing and summarizing the articles that follow – is to provide some context for the emergence of ‘mediatization’ as a key theoretical concept for contemporary media and communications research, and to offer some reasons why it now deserves the full attention of scholars of communication theory.

482 citations

Posted Content
TL;DR: In this article, a multiple regression analysis is conducted for all regions of the group of 25 European Union countries (EU-25), including measures of R&D investment, proxies for regional innovation systems, and knowledge and socioeconomic spillovers.
Abstract: Research on the impact of innovation on regional economic performance in Europe has fundamentally followed three approaches: (1) the analysis of the link between investment in research and development (RD (2) the study of the existence and efficiency of regional innovation systems; and (3) the examination of the geographical diffusion of regional knowledge spillovers. These complementary approaches have, however, rarely been combined. Important operational and methodological barriers have thwarted any potential cross-fertilization. This paper tries to fill this gap in the literature by combining in one model R&D, spillovers, and innovation systems approaches. A multiple regression analysis is conducted for all regions of the group of 25 European Union countries (EU-25), including measures of R&D investment, proxies for regional innovation systems, and knowledge and socio-economic spillovers. This approach allows the discrimination between the influence of internal factors and external knowledge and institutional flows on regional economic growth. The empirical results highlight how the complex interaction between local and external research, on the one hand, with local and external socio-economic and institutional conditions, on the other, shapes the innovation capacity of every region. They also indicate the importance of proximity for the transmission of economically productive knowledge, as spillovers are affected by strong distance decay effects.

480 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