IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/124438.html

Econometrics and Public Health analysis: Panel Data using Feasible Generalized Least Squares

Author

Listed:
  • Arizmendi, Luis-Felipe
  • De la Torre-Domingo, Carlos
  • Rengifo, Erick W.

Abstract

Econometrics in general, and Panel Data methods in particular, are becoming crucial in Public Health Economics and Social Policy analysis. In this discussion paper, we employ a useful approach of Feasible Generalized Least Squares (FGLS) to assess if there are statistically relevant relationships between hemoglobin (adjusted to sea-level), weight, and height for the period 2007–2022 in children up to five years of age in Peru. By using this method, we may find a tool that allows us to confirm if the relationships considered between the target variables by the Peruvian agencies and authorities are in the right direction to fight against chronic malnutrition and stunting.

Suggested Citation

  • Arizmendi, Luis-Felipe & De la Torre-Domingo, Carlos & Rengifo, Erick W., 2025. "Econometrics and Public Health analysis: Panel Data using Feasible Generalized Least Squares," MPRA Paper 124438, University Library of Munich, Germany, revised 14 Apr 2025.
    • Handle: RePEc:pra:mprapa:124438
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/124438/1/MPRA_paper_124438.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Réka Maulide Cane & José Braz Chidassicua & Luís Varandas & Isabel Craveiro, 2022. "Anemia in Pregnant Women and Children Aged 6 to 59 Months Living in Mozambique and Portugal: An Overview of Systematic Reviews," IJERPH, MDPI, vol. 19(8), pages 1-19, April.
    2. Baltagi, Badi H. & Chang, Young-Jae, 1994. "Incomplete panels : A comparative study of alternative estimators for the unbalanced one-way error component regression model," Journal of Econometrics, Elsevier, vol. 62(2), pages 67-89, June.
    3. Swamy, P A V B & Arora, S S, 1972. "The Exact Finite Sample Properties of the Estimators of Coefficients in the Error Components Regression Models," Econometrica, Econometric Society, vol. 40(2), pages 261-275, March.
    Full references (including those not matched with items on IDEAS)

    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. Pandey, Ashish & Guhathakurta, Kousik, 2022. "Value relevance of loan loss provision components and the choice of model specification," Advances in accounting, Elsevier, vol. 58(C).
    2. Fadhuile, A., 2018. "Can we explain pesticide price trend by the regulation changes ?," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277112, International Association of Agricultural Economists.
    3. Yang, Juan & Mitchell, Paul D. & Gray, Michael E. & Steffey, Kevin L., 2007. "Unbalanced Nested Component Error Model and the Value of Soil Insecticide and Bt Corn for Controlling Western Corn Rootworm," Staff Papers 92127, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    4. Dědeček Radek & Dudzich Viktar, 2022. "Exploring the limitations of GDP per capita as an indicator of economic development: a cross-country perspective," Review of Economic Perspectives, Sciendo, vol. 22(3), pages 193-217, September.
    5. Yang, Juan & Mitchell, Paul D. & Gray, Michael & Steffey, Kevin, 2007. "Unbalanced Nested Component Error Model and the Value of Soil Insecticide and Bt Corn for Controlling Western Corn Rootworm," Staff Paper Series 510, University of Wisconsin, Agricultural and Applied Economics.
    6. Christos A. Grambovas & Begoña Giner & Demetris Christodoulou, 2006. "Earnings conservatism: panel data evidence from the European Union and the United States," Abacus, Accounting Foundation, University of Sydney, vol. 42(3‐4), pages 354-378, September.
    7. Baltagi, Badi H. & Pirotte, Alain, 2014. "Prediction in a spatial nested error components panel data model," International Journal of Forecasting, Elsevier, vol. 30(3), pages 407-414.
    8. Koellinger, Philipp & Minniti, Maria & Schade, Christian, 2007. ""I think I can, I think I can": Overconfidence and entrepreneurial behavior," Journal of Economic Psychology, Elsevier, vol. 28(4), pages 502-527, August.
    9. Hamid Beladi & Nicholas S. P. Tay & Reza Oladi, 2011. "On Competition for Listings," Working Papers 0003, College of Business, University of Texas at San Antonio.
    10. Hitzhusen, Frederick J. & Jeanty, Pierre Wilner, 2006. "Analyzing the Effects of Conflicts on Food Security in Developing Countries: An Instrumental Variable Panel Data Approach," 2006 Annual meeting, July 23-26, Long Beach, CA 21483, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Merkert, Rico & Swidan, Hassan, 2019. "Flying with(out) a safety net: Financial hedging in the airline industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 206-219.
    12. Peter Z. Schochet, 2013. "Estimators for Clustered Education RCTs Using the Neyman Model for Causal Inference," Journal of Educational and Behavioral Statistics, , vol. 38(3), pages 219-238, June.
    13. H. Baltagi, Badi & Heun Song, Seuck & Cheol Jung, Byoung, 2001. "The unbalanced nested error component regression model," Journal of Econometrics, Elsevier, vol. 101(2), pages 357-381, April.
    14. de Arce, Rafael & Mahia, Ramon, 2008. "Determinants of Bilateral Immigration Flows Between The European Union and some Mediterranean Partner Countries: Algeria, Egypt, Morocco, Tunisia and Turkey," MPRA Paper 14547, University Library of Munich, Germany.
    15. Jonathan McCarthy & Egon Zakrajšek, 2000. "Microeconomic inventory adjustment: evidence from U.S. firm-level data," Staff Reports 101, Federal Reserve Bank of New York.
    16. Angelidis, Timotheos & Michairinas, Athanasios & Sakkas, Athanasios, 2024. "World ESG performance and economic activity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 93(C).
    17. Horst Feldmann, 2009. "The quality of the legal system and labor market performance around the world," European Journal of Law and Economics, Springer, vol. 28(1), pages 39-65, August.
    18. Ricardo De Bonis & Giuseppe Bruno, 2000. "A Comparative Study Of Alternative Econometric Packages: An Application To Italian Deposit Interest Rates," Computing in Economics and Finance 2000 160, Society for Computational Economics.
    19. Luis Jácome & Francisco Vázquez, 2005. "Any Link Between Legal Central Bank Independence and Inflation? Evidence from Latin America and the Caribbean," Macroeconomics 0508011, University Library of Munich, Germany.
    20. Banri ITO & Ryuhei WAKASUGI & Eiichi TOMIURA, 2008. "Offshoring and Productivity: Evidence from Japanese Firm-level Data," Discussion papers 08028, Research Institute of Economy, Trade and Industry (RIETI).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

    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:124438. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.