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Institution

Stockholm School of Economics

EducationStockholm, Sweden
About: Stockholm School of Economics is a education organization based out in Stockholm, Sweden. It is known for research contribution in the topics: Population & Entrepreneurship. The organization has 1186 authors who have published 4891 publications receiving 285543 citations. The organization is also known as: Stockholm Business School & Handelshögskolan i Stockholm.


Papers
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Journal ArticleDOI
TL;DR: This article found that plants with any foreign ownership are far less likely to close than wholly-owned domestic plants and that the lower probability of shutdown is a result of the larger size of foreign plants rather than their nationality of ownership.
Abstract: In recent years, international capital flows of all types have increased dramatically and most governments have been actively encouraging inflows of direct investment. However, concerns remain that reliance on foreign multinationals may be a risky development strategy as foreign firms are likely to be less rooted in the local economy and may be quicker to close down production. This paper asks whether foreign owners are more likely to close plants than domestic owners. In Indonesia, plants with any foreign ownership are far less likely to close than wholly-owned domestic plants. However, the lower probability of shutdown is a result of the larger size of foreign plants rather than their nationality of ownership. Controlling for plant size and productivity, we find that foreign plants are significantly more likely to close than comparable domestic establishments.

186 citations

Journal ArticleDOI
TL;DR: The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Abstract: AW is supported by a postdoctoral fellowship by The James S. McDonnell Foundation. AJT acknowledges support from Bill & Melinda Gates Foundation grants (#49446 and #OPP1032350), NIH/NIAID grant (U19AI089674), and the RAPIDD program of the Science & Technology Directorate, Department of Homeland Security, and the Fogarty International Center, National Institutes of Health. COB was supported by the Models of Infectious Disease Agent Study program (cooperative agreement 1U54GM088558). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of General Medical Sciences or the National Institutes of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

186 citations

Journal ArticleDOI
TL;DR: This article reviews existing research at the intersection of genetics and economics, presents some new findings that illustrate the state of genoeconomics research, and surveys the prospects of this emerging field.
Abstract: This article reviews existing research at the intersection of genetics and economics, presents some new findings that illustrate the state of genoeconomics research, and surveys the prospects of this emerging field. Twin studies suggest that economic outcomes and preferences, once corrected for measurement error, appear to be about as herita- ble as many medical conditions and personality traits. Consistent with this pattern, we present new evidence on the heritability of permanent income and wealth. Turning to genetic association stud- ies, we survey the main ways that the direct measurement of genetic variation across individuals is likely to contribute to economics, and we outline the challenges that have slowed progress in making these contributions. The most urgent problem facing researchers in this field is that most existing efforts to find associations between genetic variation and economic behavior are based on samples that are too small to ensure adequate statistical power. This has led to many false positives in the literature. We suggest a number of possible strategies to improve and remedy this problem: (a) pooling data sets, (b )u sing statistical techniques that exploit the greater information content of many genes considered jointly, and (c) focusing on economically rele- vant traits that are most proximate to known biological mechanisms.

186 citations

Journal ArticleDOI
TL;DR: In this article, the authors compare the performance of BVAR and DSGE models with the Riksbank's official, more subjective forecasts, both in terms of the actual forecasts and root mean square errors.
Abstract: There are many indications that formal methods are not used to their full potential by central banks today. In this paper we demonstrate how BVAR and DSGE models can be used to shed light on questions that policy makers deal with in practice using data from Sweden. We compare the forecast performance of BVAR and DSGE models with the Riksbank's official, more subjective forecasts, both in terms of the actual forecasts and root mean square errors. We also discuss how to combine model- and judgment-based forecasts, and show that the combined forecast performs well out-of-sample. In addition, we show the advantages of structural analysis and use the models for interpreting the recent development of the inflation rate using historical decompositions. Lastly, we discuss the monetary transmission mechanism in the formal models, using impulse response functions and conditional forecasts.

186 citations

Journal ArticleDOI
TL;DR: In this article, a generalized version of Howitt's (1999) model of R&D-driven growth without scale effects and a complete characterization of the long-rungrowth effects of subsidies are presented.
Abstract: This article presents a generalized versionof Howitt's (1999) model of R&D-driven growth withoutscale effects and a complete characterization of the long-rungrowth effects of R&D subsidies. R&D subsidiescan either promote or retard long-run economic growth, and surprisingly,the growth-retarding outcome occurs for a wide range of plausibleparameter values. This article also presents a new intuitiveexplanation for why R&D subsidies can have long-rungrowth effects (both positive and negative).

185 citations


Authors

Showing all 1218 results

NameH-indexPapersCitations
Magnus Johannesson10234240776
Thomas J. Sargent9637039224
Bengt Jönsson8136533623
J. Scott Armstrong7644533552
Johan Wiklund7428830038
Per Davidsson7130932262
Julian Birkinshaw6423329262
Timo Teräsvirta6222420403
Lars E.O. Svensson6118820666
Jonathan D. Ostry5923211776
Alexander Ljungqvist5913914466
Richard Green5846814244
Bo Jönsson5729411984
Magnus Henrekson5626113346
Assar Lindbeck5423413761
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
202251
2021247
2020219
2019186
2018168