• 제목/요약/키워드: unemployment rates

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Investigating the Time Lag Effect between Economic Recession and Suicide Rates in Agriculture, Fisheries, and Forestry Workers in Korea

  • Yoon, Jin-Ha;Junger, Washington;Kim, Boo-Wook;Kim, Young-Joo;Koh, Sang-Baek
    • Safety and Health at Work
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    • 제3권4호
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    • pp.294-297
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    • 2012
  • Previous studies on the vast increase in suicide mortality in Southeast Asia have indicated that suicide rates increase in parallel with a rise in unemployment or during periods of economic recession. This paper examines the effects of economic recession on suicidal rates amongst agriculture, fisheries, and forestry workers in Korea. Monthly time-series gross domestic product (GDP) data were linked with suicidal rates gathered from the cause of death records between1993-2008. Data were analyzed using generalized additive models to analyze trends, while a polynomial lag model was used to assess the unconstrained time lag effects of changes in GDP on suicidal rate. We found that there were significant inverse correlations between changes in GDP and suicide for a time lag of one to four months after the occurrence of economic event. Furthermore, it was evident that the overall relative risks of suicide were high enough to bring about social concern.

국내 가계대출의 특징과 결정요인 분석: COVID-19를 중심으로 (Analysis of Characteristics and Determinants of Household Loans in Korea: Focusing on COVID-19)

  • 장진희;홍재범;최승두
    • 아태비즈니스연구
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    • 제14권2호
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    • pp.51-61
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    • 2023
  • Purpose - Since COVID-19, the government's expansion of liquidity to stimulate the economy has resulted in an increase in private debt and an increase in asset prices of such as real estate and stocks. The recent sharp rise of the US Federal fund rate and tapering by the Fed have led to a fast rise in domestic interest rates, putting a heavy burden on the Korean economy, where the level of household debt is very high. Excessive household debt might have negative effects on the economy, such as shrinking consumption, economic recession, and deepening economic inequality. Therefore, now more than ever, it is necessary to identify the causes of the increase in household debt. Design/methodology/approach - Main methodology is regression analysis. Dependent variable is household loans from depository institutions. Independent variables are consumer price index, unemployment rate, household loan interest rate, housing sales price index, and composite stock price index. The sample periods are from 2017 to May 2022, comprising 72 months of data. The comparative analysis period before and after COVID-19 is from January 2017 to December 2019 for the pre-COVID-19 period, and from Jan 2020 to December 2022 for the post-COVID-19 period. Findings - Looking at the results of the regression analysis for the entire period, it was found that increases in the consumer price index, unemployment rate, and household loan interest rates decrease household loans, while increases in the housing sales price index increase household loans. Research implications or Originality - Household loans of depository institutions are mainly made up of high-credit and high-income borrowers with good repayment ability, so the risk of the financial system is low. As household loans are closely linked to the real estate market, the risk of household loan defaults may increase if real estate prices fall sharply.

수익률분석방법(收益率分析方法)에 의한 이공계(理工系) 대학원(大學院)의 교육투자(敎育投資) 수익성(收益性) (Rate of Return Analysis in Investment for Postgraduate Science and Engineering Education)

  • 김동묵;김지수
    • 대한산업공학회지
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    • 제12권2호
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    • pp.89-99
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    • 1986
  • The study attempts to estimate and evaluate the rates of return on graduate degree holders who major in science and engineering. The model of this study adopts the rate of return method considering unemployment as well as mortality rate. The data are collected by questionnaires and interviews. The results show that the social rate of return(SROR) of bachelors is lower than the rate of return on investment in physical capital which is assumed as a decision criterion of public investment in Korea, but the SROR of Ph.D. holders is balanced. The results also show that the private rates of return (PROR) of all the levels in postgraduate science and engineering education are higher than the private discount rate which is a decision criterion of private investment in Korea. It also indicates that the PROR on investment in graduate education is not likely higher than the SROR because an individual bears high share of the educational costs.

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Searching for the Cause of the Gender Gap in Employment Losses during the COVID-19 Crisis

  • KIM, JIYEON
    • KDI Journal of Economic Policy
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    • 제43권2호
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    • pp.53-79
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    • 2021
  • The recession caused by the COVID-19 crisis has features that could disproportionately harm female employment. Risk of infection and social distancing measures may have disrupted jobs in face-to-face industries, which have traditionally hired more women than men. School closures and a consequent increase in childcare and homeschooling demands may have discouraged labor market participation by working mothers. Using the Economically Active Population Survey, I examine how female employment was affected by each factor. I find that the gender gap in the Employment to Non-participation (E to N) transition rates is twice as large as the gap in the Employment to Unemployment (E to U) transition rates. Women's overrepresentation in the face-to-face industries accounts for most of the gap in the E to U transition but only a third of the gap in the E to N transition. The rise in non-participation is especially pronounced among married women aged 39-44, the group most likely to have elementary-school-age children.

소지역 실업률의 패널추정을 위한 일반화커널추정방정식 (Generalized kernel estimating equation for panel estimation of small area unemployment rates)

  • 심주용;김영원;황창하
    • Journal of the Korean Data and Information Science Society
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    • 제24권6호
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    • pp.1199-1210
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    • 2013
  • 오늘날 높은 실업률은 대부분의 국가에서 중요한 문제 중의 하나이다. 한편 소지역의 노동 관련 통계에 대한 요구가 지난 몇년간 급속도로 증가하였다. 그러나 대부분의 공식통계를 생산하기 위한 표본설계는 대영역의 통계를 생산할 목적으로 설계되기 때문에 소지역의 경우 배정되는 표본조사단위수가 극히 적어 신뢰성 있는 통계 산출이 어렵다. 그리고 소지역 추정에 대한 대부분의 기존 연구들은 특정 시점에서의 추정에 국한되어 왔다. 그러나 대부분의 공식통계들은 월, 분기 또는 연 단위로 측정되는 패널자료이기 때문에 이를 고려한 추정방법이 필요하다. 본 논문에서는 패널자료의 분석을 위해 유용하게 사용되고 있는 일반화추정방정식의 비모수적 버전인 일반화커널추정방정식을 도출하여 조사시점을 고려한 소지역 실업률의 추정에 활용하는 방안을 제안한다. 모의실험을 통하여 일반화커널추정방정식 방법, 일반화추정방정식 방법 및 일반화선형모형과 비교한다. 그리고 2005년 1월부터 12월까지 경상남도 및 울산광역시의 25개 시군구의 경제활동인구조사의 패널자료에 위에서 언급한 세 가지 방법을 적용하여 해당 소지역의 월별 실업률을 추정한다.

케인즈의 고용 . 물가이론소고 (A Study on Keynese's Employment and Price Theory)

  • 박일근
    • 산업경영시스템학회지
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    • 제8권12호
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    • pp.65-77
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    • 1985
  • The mainpoints of General Theory is 1) the mainspring of economic activity is effective demand which can expand or control in relation to supply as a result of spontaneous decision by customer or government. 2) change in effective demand Produce change in output and employment in the same direction 3) which given productivity of labour the Vice level depend on the money supply affect the in downward direction 4) change in the money supply affect the economy through the rates of interest 5) the only automatic mechanism through which the economy can adjust itself to a deficiency of effective demand is the long process which unemployment reduces wage rates and consequently the demand for money and interest rates, above summarized contents are General Theory frame-work. The neo-classical macro general equilibrium theory, which has been reconstructed subsequent to Keyneses critism is treated the neo-classical macro-general equilibrium theory which inherits the classical theories of labour market and the aggregate production function, on demand side, it introduce the Keyneses macro-general equilibrium theory, which function through flexible movement of prices, wage and interest. Nowadays, Keynes General Theory is being developed into new dimension i, e. the macro-disequilibrium theory, and adequacy, and appropriateness of the theory and its significant contributions to modern economics are being reinterpreted and substantiated.

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A study on ways to make employment improve through Big Data analysis of university information public

  • Lim, Heon-Wook;Kim, Sun-Jib
    • International Journal of Advanced Culture Technology
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    • 제9권3호
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    • pp.174-180
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    • 2021
  • The necessity of this study is as follows. A decrease in the number of newborns, an increase in the youth unemployment rate, and a decrease in the employment rate are having a fatal impact on universities. To help increase the employment rate of universities, we intend to utilize Big Data of university public information. Big data refers to the process of collecting and analyzing data, and includes all business processes of finding data, reprocessing information in an easy-to-understand manner, and selling information to people and institutions. Big data technology can be divided into technologies for storing, refining, analyzing, and predicting big data. The purpose of this study is to find the vision and special department of a university with a high employment rate by using big data technology. As a result of the study, big data was collected from 227 universities on www.academyinfo.go.kr site, We selected 130 meaningful universities and selected 25 universities with high employment rates and 25 universities with low employment rates. In conclusion, the university with a high employment rate can first be said to have a student-centered vision and university specialization. The reason is that, for universities with a high employment rate, the vision was to foster talents and specialize, whereas for universities with a low employment rate, regional bases took precedence. Second, universities with a high employment rate have a high interest in specialized departments. This is because, as a result of checking the presence or absence of a characterization plan, universities with a high employment rate were twice as high (21/7). Third, universities with high employment rates promote social needs and characterization. This is because the characteristic departments of universities with high employment rates are in the order of future technology and nursing and health, while universities with low employment rates promoted school-centered specialization in future technology and culture, tourism and art. In summary, universities with high employment rates showed high interest in student-centered vision and development of special departments for social needs.

Oil Price Fluctuations and Stock Market Movements: An Application in Oman

  • Echchabi, Abdelghani;Azouzi, Dhekra
    • The Journal of Asian Finance, Economics and Business
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    • 제4권2호
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    • pp.19-23
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    • 2017
  • It is undisputable that crude oil and its price fluctuations are major components that affect most of the countries' economies. Recent studies have demonstrated that beside the impact that crude oil price fluctuations have on common macroeconomic indicators like gross domestic product (GDP), inflation rates, exchange rates, unemployment rate, etc., it also has a strong influence on stock markets and their performance. This relationship has been examined in a number of settings, but it is yet to be unraveled in the Omani context. Accordingly, the main purpose of this study is to examine the possible effect of the oil price fluctuations on stock price movements. The study applies Toda and Yamamoto's (1995) Granger non-causality test on the daily Oman stock index (Muscat Securities Market Index) and oil prices between the period of 2 January 2003 and 13 March 2016. The results indicated that the oil price fluctuations have a significant impact on stock index movements. However, the stock price movements do not have a significant impact on oil prices. These findings have significant implications not only for the Omani economy but also for the economy of similar countries, particularly in the Gulf Cooperation Council (GCC) countries. The latter should carefully consider their policies and strategies regarding crude oil production and the generated income allocation as it might potentially affect the financial markets performance in these countries.

Consumer Income and Expenditure Influenced by Business Cycles: A Comparison of Korea and the US

  • Kim, Seo Jeong;Hann, Michael;Youn, Chorong;Lee, Kyu-Hye
    • Fashion, Industry and Education
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    • 제14권2호
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    • pp.47-59
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    • 2016
  • This research is concerned with comparing fluctuation in the Korean and the US economies in order to ascertain the degree to which the former is influenced by changes in the latter. The aim of this research is to explore business cycles, to examine consumer expenditure in Korea and the US, and to discover the relationships between business fluctuation indexes and overall expenditure. Statistical data from the national statistics of Korea and the US during period from 1990 to 2015 were used. The instrument included a measure of GDP, unemployment rates, GDP deflator rate (inflation rates), and household income and expenditure. For the average annual household expenditures, food, apparel and transportation expenditure data were compared across the two countries. Data were collected separately from different (though comparable) sources and were analyzed using relatively straight forward statistical techniques. It was found that Korean and the US consumers' income and expenditure were greatly affected by economic fluctuations. Total expenditure and the expenditures for food and transportation were much influenced by business fluctuation in the US, whereas, the expenditures for apparel were much influenced by business fluctuation in Korea.

Some Dependence Structures of Multivariate Processes

  • Jong Il Baek
    • Communications for Statistical Applications and Methods
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    • 제2권1호
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    • pp.201-208
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    • 1995
  • In the last years there has been growing interest in concepts of positive dependence for families of random variables such that concepts are considerable us in deriving inequalities in probability and statistics. Lehman introdued various concepts of positive dependence for bivariate random variables. A much stronger notions of positive dependence were later considered by Esary, Proschan, and Walkup. Ahmed et al and Ebrahimi and Ghosh also obtained multivariate versions of various bivariate positive dependence as descrived by Lehman. See also Block al. Glaz and Johnson an Barlow and Proschan and the references there. Multivariate processes arise when instead of observing a single process we observe several processes, say $X_19t), \cdots, X_n(t)$ simultaneously. For example, in an engineering context we may want to study the simultaneous variation of current and voltage, or temperature, pressure and volume over time. In economics we may be interested in studying inflation rates and money supply, unemployment and interest rates. We could of course, study each quantity on its own and treat each as a separate univariate process. Although this would give us some information about each quantity it could never give information about the interrelationship between various quantities. This leads us to introduce some concepts of positive and for multivariate stochastic processes. The concepts of positive dependence have subsequently been extended to stochastic processes in different directions by many authors.

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