IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/21460.html
   My bibliography  Save this paper

Robustness Procedures in Economic Growth Regression Models

Author

Listed:
  • Mapa, Dennis S.
  • Briones, Kristine Joy S.

Abstract

A central question for empirical economics, particularly economic growth, is which explanatory variables to include and exclude in the regressions. This paper aims to identify variables strongly correlated with provincial income growth in the Philippines by applying robustness procedures in determining which variables are strongly correlated with income growth. The extreme bound analysis (EBA) and Bayesian Averaging of Classical Estimates (BACE) were applied to fifteen determinants of income growth from a data set consisting of 74 Philippine provinces for the period 1985 to 2003 to test which among the explanatory variables are strongly correlated to growth. The tests show that among the fifteen variables, five variables stand out as being robust. The log of initial income, the ARMM indicator, the expenditure GINI and its square and the proportion of young dependents are all considered as strongly correlated to growth.

Suggested Citation

  • Mapa, Dennis S. & Briones, Kristine Joy S., 2007. "Robustness Procedures in Economic Growth Regression Models," MPRA Paper 21460, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:21460
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/21460/1/MPRA_paper_21460.pdf
    File Function: original version
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. David E. Bloom & David Canning & Pia N. Malaney, 1999. "Demographic Change and Economic Growth in Asia," CID Working Papers 15, Center for International Development at Harvard University.
    2. Bloom, David E & Williamson, Jeffrey G, 1998. "Demographic Transitions and Economic Miracles in Emerging Asia," World Bank Economic Review, World Bank Group, vol. 12(3), pages 419-455, September.
    3. Leamer, Edward E, 1983. "Let's Take the Con Out of Econometrics," American Economic Review, American Economic Association, vol. 73(1), pages 31-43, March.
    4. Sala-i-Martin, Xavier, 1997. "I Just Ran Two Million Regressions," American Economic Review, American Economic Association, vol. 87(2), pages 178-183, May.
    5. David E. BLOOM & Jocelyn E. FINLAY, 2009. "Demographic Change and Economic Growth in Asia," Asian Economic Policy Review, Japan Center for Economic Research, vol. 4(1), pages 45-64.
    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. Mapa, Dennis S. & Balisacan, Arsenio & Briones, Kristine Joy S. & Albis, Manuel Leonard F., 2009. "What really matters for income growth in the Philippines: Empirical evidence from provincial data," MPRA Paper 19449, University Library of Munich, Germany.

    More about this item

    Keywords

    Robust; Extreme Bound Analysis (EBA); Bayesian Averaging of Classical Estimates (BACE);

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

    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:pra:mprapa:21460. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.