IDEAS home Printed from https://ideas.repec.org/a/eee/asieco/v23y2012i1p99-106.html
   My bibliography  Save this article

Why does scholastic achievement differ across prefectures in Japan?

Author

Listed:
  • Nakamura, Hideki

Abstract

Using prefecture-level data on scholastic achievement tests in Japan, we found that parental income and education level positively affect student achievement. The effect of income on achievement is stronger for the high-scoring prefectures than for the low-scoring prefectures. The presence of grandparents also has a strong positive effect on student achievement. While the cross term between the percentage of absentees and the quantity of teachers is important in identifying the positive effects of teacher quantity, the effects of this quantity on elementary school achievement is nonlinear. We confirm the importance of teacher quality in determining junior high school achievement.

Suggested Citation

  • Nakamura, Hideki, 2012. "Why does scholastic achievement differ across prefectures in Japan?," Journal of Asian Economics, Elsevier, vol. 23(1), pages 99-106.
    • Handle: RePEc:eee:asieco:v:23:y:2012:i:1:p:99-106
    DOI: 10.1016/j.asieco.2011.10.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1049007811000881
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.asieco.2011.10.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Tanaka, Ryuichi, 2008. "The gender-asymmetric effect of working mothers on children's education: Evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 22(4), pages 586-604, December.
    3. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    4. Nakajima, Tetsuya & Nakamura, Hideki, 2012. "How Do Elementary And Higher Education Affect Human Capital Accumulation And Inequality? A Note," Macroeconomic Dynamics, Cambridge University Press, vol. 16(1), pages 151-158, February.
    5. Nakajima, Tetsuya & Nakamura, Hideki, 2009. "The price of education and inequality," Economics Letters, Elsevier, vol. 105(2), pages 183-185, November.
    6. Hanushek, Eric A., 2002. "Publicly provided education," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 4, chapter 30, pages 2045-2141, Elsevier.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hideki Nakamura, 2013. "Wages of regular and irregular workers, the price of education, and income inequality," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(4), pages 517-533, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kleibergen, F., 1996. "Reduced Rank of Regression Using Generalized Method of Moments Estimators," Other publications TiSEM 5caf1c0c-d988-4184-acf7-d, Tilburg University, School of Economics and Management.
    2. Frank Kleibergen, 2004. "Expansions of GMM statistics that indicate their properties under weak and/or many instruments and the bootstrap," Econometric Society 2004 North American Summer Meetings 408, Econometric Society.
    3. Yenn-Ru Chen & Carl R. Chen & Chih-Kang Chu, 2014. "The Effect of Executive Stock Options on Corporate Innovative Activities," Financial Management, Financial Management Association International, vol. 43(2), pages 271-290, June.
    4. Guo, Hui, 2006. "Time-varying risk premia and the cross section of stock returns," Journal of Banking & Finance, Elsevier, vol. 30(7), pages 2087-2107, July.
    5. Michael O'Connor Keefe & David Gallagher, 2014. "Does the effect of revealed private information on initial public offering (IPO) first trading day return differ by IPO market heat?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 54(3), pages 921-964, September.
    6. Deodat E. Adenutsi & Meshach J. Aziakpono & Matthew K. Ocran, 2011. "The Changing Impact Of Macroeconomic Environment On Remittance Inflows In Sub-Saharan Africa," Journal of Academic Research in Economics, Spiru Haret University, Faculty of Accounting and Financial Management Constanta, vol. 3(2 (July)), pages 136-167.
    7. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    8. Finucane, Thomas J., 1999. "A new measure of the direction and timing of information flow between markets1," Journal of Financial Markets, Elsevier, vol. 2(2), pages 135-151, May.
    9. Panagiotis T. Konstantinou, 2005. "The Expectations Hypothesis of the Term Structure : A Look at the Polish Interbank Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 41(3), pages 70-91, May.
    10. Kleibergen, Frank & Paap, Richard, 2006. "Generalized reduced rank tests using the singular value decomposition," Journal of Econometrics, Elsevier, vol. 133(1), pages 97-126, July.
    11. Jeffrey M. Wooldridge, 2001. "Applications of Generalized Method of Moments Estimation," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 87-100, Fall.
    12. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LP, vol. 3(1), pages 1-31, March.
    13. Amengual, Dante & Sentana, Enrique, 2010. "A comparison of mean-variance efficiency tests," Journal of Econometrics, Elsevier, vol. 154(1), pages 16-34, January.
    14. Russell Davidson & Victoria Zinde‐Walsh, 2017. "Advances in specification testing," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1595-1631, December.
    15. Matos, Paulo Rogério Faustino & Costa, Carlos Eugênio da & Issler, João Victor, 2007. "The forward- and the equity-premium puzzles: two symptoms of the same illness?," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 649, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    16. Jean-Marie Dufour, 2003. "Identification, weak instruments, and statistical inference in econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 36(4), pages 767-808, November.
    17. Christopher F Baum & Arthur Lewbel, 2019. "Advice on using heteroskedasticity-based identification," Stata Journal, StataCorp LP, vol. 19(4), pages 757-767, December.
    18. Boswijk, H. Peter & Franses, Philip Hans & van Dijk, Dick, 2010. "Cointegration in a historical perspective," Journal of Econometrics, Elsevier, vol. 158(1), pages 156-159, September.
    19. Maio, Paulo & Philip, Dennis, 2015. "Macro variables and the components of stock returns," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 287-308.
    20. Chirinko, Robert S. & Wilson, Daniel J., 2008. "State investment tax incentives: A zero-sum game?," Journal of Public Economics, Elsevier, vol. 92(12), pages 2362-2384, December.

    More about this item

    Keywords

    Achievement tests in Japan; Home environment; School environment; Quality and quantity of teachers;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:asieco:v:23:y:2012:i:1:p:99-106. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/asieco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.