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Estimating the Structure of the Short and the Long Run Variations in the Domestic Youth Unemployment

국내 청년실업의 단.장기 변동구조 추정

  • Published : 2008.04.30

Abstract

The government employment statistics show the close comovement of the whole domestic unemployment rate with the youth unemployment rate for the past 10 years, implying the dominant influence of the unemployment of the youth age. This study investigates the structure of the short-run variation and the process of the long-run adjustment in the unemployment rates of the youth and middle ages by formulating the dynamic equation system. The estimation result consistently reflects the vulnerability of the youth class in the aggravation of the employment condition. The effect of exogenous changes is found to be persistent in the unemployment rates of both ages, which appear to have similar structures of the long-run time path. However, the youth unemployment rate turns out to have a relatively long adjustment process to the long-run equilibrium.

통계청 고용통계 자료에서 실업률의 변동추이를 보면 국내 실업률은 청년층 실업률과 거의 동일한 변동성향을 보이는 것으로 나타나 청년층의 실업이 전체 실업에 지배적 영향을 미치며, 따라서 바로 국가의 실업문제라는 것을 알 수 있다. 본 연구에서는 국내실업을 청년실업과 중년실업으로 구분하여 동태방정식 통계모형체계를 이용, 이들의 단기적 변동구조와 장기 적 적응과정을 추정하고 비교 분석하였다. 분석 결과는 청년층이 외환위기 발생 이후 지난 10년간 취업환경 악화의 영향을 더 받았으며, 노동시장에의 진입장벽이 더 높았음을 시사한다. 또한 청년과 중년실업은 외생적 영향이 오래 지속되는 장기변동 성향을 가진 것으로 판별되어 실업률이 감소하지 않고 있는 현실을 그대로 반영하지만 청년실업이 상대적으로 긴 적응과정을 가진 것으로 나타났다.

Keywords

References

  1. 김대일 (2000). 경기위기와 실업의 동태적 변화, <경제학연구>, 48, 57-85
  2. 김유배 (1997). 경제 성장률의 저하와 고용.임금 변동, <경제학 연구>, 45, 239-256
  3. 삼성경제연구소 (2003). <청년실업 증가의 문제점과 대응방안>, 삼성경제연구소
  4. 장창원, 나현미, 김상호, 김승연 (2002). <청년실업의 원인과 정책과제>, 한국직업능력개발원
  5. 채창균 (2001). <청년실업의 실태 및 원인 분석>, 한국직업능력개발원
  6. Bazen, S. and Marimoutou, V. (2002). Looking for a needle in a haystack? A re-examination of the time series relationship between teenage employment and minimum wages in the United States, Oxford Bulletin of Economics and Statistics, 64, 699-725 https://doi.org/10.1111/1468-0084.64.s.7
  7. Beeson, P. and Montgomery, E. B. (1993). The effects of colleges and universities on local labor markets, The Review of Economics and Statistics, 75, 753-761 https://doi.org/10.2307/2110036
  8. Dunlevy, J. A. (1980). A test of the capacity pressure hypothesis within a simultaneous equations model of export performance, The Review of Economics and Statistics, 62, 131-135 https://doi.org/10.2307/1924281
  9. Geraci, V. J. and Prewo, W. (1982). An empirical demand and supply model of multilateral trade, The Review of Economics and Statistics, 64, 432-441 https://doi.org/10.2307/1925941
  10. Haynes, S. E. and Stone, J. A. (1983). Specifcation of supply behavior in international trade, The Review of Economics and Statistics, 65, 626-632 https://doi.org/10.2307/1935931
  11. Light, A. and McGarry, K. (1998). Job change patterns and the wages of young men, The Review of Economics and Statistics, 80, 276-286 https://doi.org/10.1162/003465398557519
  12. Nelson, P., Siegfried, J. and Howell, J. (1992). A simultaneous equations model of coffee brand pricing and advertising, The Review of Economics and Statistics, 74, 54-63 https://doi.org/10.2307/2109542
  13. Thurman, W. N. (1986). Endogeneity testing in a supply and demand framework, The Review of Economics and Statistics, 68, 638-646 https://doi.org/10.2307/1924523
  14. Viscusi, W. K. (1991). Age variations in risk perceptions and smoking decisions, The Review of Economics and Statistics, 73, 577-588 https://doi.org/10.2307/2109396
  15. Zegeye, A. A. (1994). Estimating savings and growth functions in developing economies: A simultaneous equations approach, International Ecomomic Journal, 8, 89-105

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