13,040 research outputs found
Firm size, age, industrial networking, and growth: a case of the Korean manufacturing industry
No full textFirm growth, Industrial networking, Subcontracting, Clustering, Korean manufacturing industry, L14, L25, L26, L52, L60, O25,
College financial aid and family saving
No full textThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 1997.Includes bibliographical references (leaves 104-107).by Taejong Kim.Ph.D
Mixing versus sorting in schooling: Evidence from the Equalization Policy in South Korea
No full textThis paper employs the difference-in-differences empirical strategy and quantile regressions to analyze the effects of sorting and mixing on the academic performance of high school students in South Korea. In Korea, about half of high schools are subject to the equalization policy (EP), and must therefore passively accept students randomly assigned to them. On the other hand, about half of high schools are in non-EP areas, so students are sorted among schools based on students' ability levels. Two main results emerge from this study. First, sorting raises test scores of students outside the EP areas by roughly 0.3 standard deviations, relative to mixing. Second, more surprisingly, quantile regression results reveal that sorting helps students above the median in the ability distribution, and does no harm to those below the median. © 2008 Elsevier Ltd. All rights reserved.1
empirical investigation using administrative data
No full textThesis(Doctoral) --KDI School:Ph.D in Development Policy,2015doctoralpublishedSunjin Kim
Author Correction: Evaluation of skin cancer resection guide using hyper‑realistic in‑vitro phantom fabricated by 3D printing
No full textThe original version of this Article contained an error in the spelling of the author Taehun Kim which was incorrectly given as Teahun Kim. The original Article has been corrected
Credit Constraints And Training After Job Loss
No full textIt is a widely held view that imperfect capital markets mean that individuals from poor backgrounds cannot borrow in order to finance educational investments. This view pervades policy formation, and is reflected in the fact that post-compulsory education processes in all countries involve considerable government intervention and large public subsidies. But are the existence of credit constraints an empirical reality? This paper uses unique data to take a new approach to this question. Specifically, the 1995 Canadian Out of Employment Panel (COEP) allows us to explore the financial resources and skill formation choices of a large number of recent job losers. This approach has several advantages, including: a direct test of the role of finances in determining training; the availability of considerable information concerning individual histories; and the fact that the unemployed are a particularly apposite group with which to explore the questions of credit constraints. We find that credit constraints do appear to limit the human capital investments of a significant minority of job seekers. In particular, controlling for a broad range of background characteristics (including past educational investments and labour market outcomes), the possession of liquid assets at the time of job loss is strongly associated with subsequent self-financed training. This basic finding is corroborated with several different kinds of evidence drawn from the survey. The data also allow us to make a rough estimate of the extent to which participation in training would have been increased, had no part of our sample been credit constrained.
Supplemental Material - Outcome Evaluation of a Transnational Postgraduate Capacity-Building Program Using the Objective Structured Clinical Examination
No full textSupplementary Material for Outcome Evaluation of a Transnational Postgraduate Capacity-Building Program Using the Objective Structured Clinical Examination by Kye-Yeung Park, Hoon-Ki Park, Jwa-Seop Shin, Taejong Kim, Youngjoo Jung, Min Young Seo, Ketsomsouk Bouphavanh, Sourideth Sengchanh, and Ketmany Inthachack in Evaluation Review.</p
DBLP-derived labeled data for author name disambiguation
No full textThis is a DBLP-derived labeled data originally created by Dr. C. Lee Giles at Penn State University and filtered for duplicate removal and error correction by Dr. Jinseok Kim at University of Michigan. For more details, see references below.1. Kim, Jinseok (2018). Evaluating author name disambiguation for digital libraries: a case of DBLP. Scientometrics. doi:10.1007/s11192-018-2824-5 2. Kim, Jinseok & Kim, Jenna (2018). The impact of imbalanced training data on machine learning for author name disambiguation. Scientometrics. doi: 10.1007/s11192-018-2865-9Each row refers to an author name instance with following feature information separated by tab.author name: full name string extracted from DBLPunique author id: labels assigned manually by Dr. C. Lee Giles's teampaper id: assigned by Dr. Jinseok Kimauthor list: names of authors in the byline of the paperyear: publication yearvenue: conference or journal namestitle: stopwords removed and stemmed by the Porter's stemmerIf you want to use this dataset, please consider to cite papers below.For the original dataset: Han, H., Giles, L., Zha, H., Li, C., & Tsioutsiouliklis, K. (2004). Two Supervised Learning Approaches for Name Disambiguation in Author Citations. JCDL 2004: Proceedings of the Fourth ACM/IEEE Joint Conference on Digital Libraries, 296-305. doi:10.1145/996350.996419For the filtered dataset: 1. Kim, Jinseok (2018). Evaluating author name disambiguation for digital libraries: a case of DBLP. Scientometrics. doi:10.1007/s11192-018-2824-5 or2. Kim, Jinseok & Kim, Jenna (2018). The impact of imbalanced training data on machine learning for author name disambiguation. Scientometrics. doi: 10.1007/s11192-018-2865-9</div
Khoo Kay Kim, professor of Malaysian history : a biobibliometric study
No full textPresents an analysis of the publication productivity, authorship pattern, channels of communication, journal preference and language preference of Professor Dato' Khoo Kay Kim, Professor of Malaysian History in the University of Malaya, Kuala Lumpur. The results of this biobibliometric study indicate that he can be a role model for future Malaysian historians to emulate his various achievements especially in the field of history education
Shadow education: School quality and demand for private tutoring in Korea
No full textPrivate tutoring is known to be pervasive in many parts of the world, and yet has received scanty attention from economists. This paper empirically examines the de-terminants of the demand for private tutoring in South Korea, where the thriving and expanding industry of private tutoring industry already constitutes a major conduit for education alongside formal schooling. Korean households spend about 2.9 % of GDP on private tutoring at the primary and secondary levels, a figure within striking distance of 3.4 % in public expenditure for formal schooling. This paper presents econometric evidence that lower school quality stimulates demand for private tutoring significantly. The result supports the view that institutional features in student’s learning environ-ments are among the key driving factors for the demand for the shadow education, and not just high-stakes tests and academic achievement incentives. The result is also in line with the view that the mushrooming of private tutoring is a natural market response to underprovided and overregulated formal schooling in Korea
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