Journals / Abant İzzet Baysal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi / 2019 / Cilt: 19 - Sayı: 3

ECONOMIC GROWTH AND QUALITY ADJUSTED HUMAN CAPITAL: 1976-2013 PANEL DATA STUDY

EKONOMİK BÜYÜME VE NİTELİK UYARLANMIŞ BEŞERÎ SERMAYE İLİŞKİSİ: 1976-2013 PANEL VERİ ÇALIŞMASI

Pages
551–571
Publication Date
2022-10-11
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

According to comparative results, trying to measure the effect of human capital on per-worker output without quality adjust may lead to over-estimate variable values.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the effects of the quality-adjusted human capital on the level of perworker output were investigated long-run coefficients with AMG and CCEMG estimator which are also taking into account heterogeneity and cross-sectional dependence problem.
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Key Findings & Data:The study included 80 countries and 1976-2013 period.
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Conclusion & Impact:According to comparative results, trying to measure the effect of human capital on per-worker output without quality adjust may lead to over-estimate variable values.
🔬Design:Research Article
📍Scope:2013 Verileri
⚙️Variables:Domain Parameters

Abstract

In this study, the effects of the quality-adjusted human capital on the level of perworker output were investigated long-run coefficients with AMG and CCEMG estimator which are also taking into account heterogeneity and cross-sectional dependence problem. The study included 80 countries and 1976-2013 period. In order to receive better results oil rich countries are excluded from the data set. According to the coefficients obtained from both methods, in the long-term quality adjusted human capital variable has a positive and significant effect on the per worker output. According to comparative results, trying to measure the effect of human capital on per-worker output without quality adjust may lead to over-estimate variable values.

Özet

Çalışmada nitelik uyarlanmış beşeri sermayenin işgücü başına düşen gelir düzeyiüzerindeki etkileri uzun dönemde analiz edilmektedir. Kullanılan yöntem yataykesit bağımlılığı ve heterojenlik koşullarını dikkate alan CCEMG ve AMGtahmincileridir. Çalışma 80 ülkeyi ve 1976-2013 dönemini kapsamaktadır.Sağlıklı sonuçlar alabilmek için petrol zengini ülkeler veri setine dahiledilmemiştir. Her iki yöntemden elde edilen katsayılara göre uzun dönemdenitelik uyarlanmış beşeri sermaye işgücü başına düşen gelir üzerinde pozitif veanlamlı bir etkiye sahiptir. Karşılaştırmalı sonuçlara göre nitelik uyarlamasıyapılmadan beşeri sermayenin gelir üzerindeki etkisini ölçmeye çalışmak,değişkenin gerçek etki gücünden abartılı değerler elde edilmesine yolaçmaktadır.

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Cite This Article

ŞANLI, D. (2022). ECONOMIC GROWTH AND QUALITY ADJUSTED HUMAN CAPITAL: 1976-2013 PANEL DATA STUDY. Abant İzzet Baysal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Cilt: 19 - Sayı: 3, 551–571. https://ajindex.com/articles/426719

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References (20)

  1. Altınok, N. (2007), Human Capital Quality and Economic Growth https://halshs.archivesouvertes.fr/halshs00132531/document,(Erişi m:2.10.2016).
  2. Altınok, N., Diebolt, C., Demeulemeester, J.L. (2014), A New International Database on Education Quality: 1965–2010, Applied Economics, 46(11), s.1212-1247.
  3. Altınok, N., Murseli, H. (2007), International Database on Human Capital Quality, Economics Letters, 96(2), s.237-244.
  4. Arrow, K. J. (1962), The Economic Implications of Learning by Doing, The Review of Economic Studies, 29(3), s.155-173.
  5. Baltagi, B. (2008),
  6. Econometric Analysis of Panel Data, John Wiley & Sons. Barro, R. J. (2001),
  7. Human Capital and Growth, American Economic Review, Vol. 91(2), s.12-17.
  8. Barro, R. J., Lee, J.W. (2013), A New Data Set of Educational Attainment in the World, 1950–2010, Journal of Development Economics, 104, s.184-198.
  9. Barro, R. J., Lee, J.W. (1993), International Comparisons of Educational Attainment, Journal of Monetary Economics, 32(3), s.363-394.
  10. Benhabib, J., Spiegel, M. M. (1994), The Role of Human Capital in Economic Development Evidence From Aggregate Cross-Country Data, Journal of Monetary Economics, 34(2), s.143-173.
  11. Bosworth, B., Collins, S. M. (2003), The Empirics of Growth: An Update”, Brookings Papers on Economic Activity, 2003(2), s.113- 206. Ciccone, A., Papaioannou, E. (2009), Human Capital, the Structure of Production, and Growth, The Review of Economics and Statistics, 91(1), s.66-82.
  12. Cohen, D., Soto, M. (2007), Growth and Human Capital: Good Data, Good Results, Journal of Economic Growth, 12(1), s.51-76.
  13. Coulombe, S., Tremblay, J.F., Marchand, S. (2004),
  14. Literacy Scores, Human Capital and Growth Across Fourteen OECD Countries, Ottawa: Statistics Canada. Denison, E.F. (1962),
  15. United States Economic Growth, The Journal of Business, 35(2), s.109-121.
  16. Eberhardt, M. (2012), Estimating Panel Time-Series Models With Heterogeneous Slopes, Stata Journal, 12(1), s.61-71
  17. Eberhardt, M., Teal, F. (2010), Productivity Analysis in Global Manufacturing Production, https://www.economics.ox.ac.uk/ materials/papers/4729/paper515.pdf (Erişim: 28.10.2016).
  18. Hanushek, E. A., Kımko, D.D. (2000), Schooling Labor-Force Quality, and the Growth of Nations, American Economic Review, 90(5), s. 1184-1208.
  19. Hanushek, E.A. Woessmann, L. (2012), Do Better Schools Lead to More Growth? Cognitive Skills, Economic Outcomes, and Causation, Journal of Economic Growth, 17(4), s.267-321.
  20. Henderson, D. J., Polachek, S. W., Wang, L. (2011), Heterogeneity in