Arizmendi, Luis-Felipe and De la Torre-Domingo, Carlos and Rengifo, Erick W. (2025): Econometrics and Public Health analysis: Panel Data using Feasible Generalized Least Squares.
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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.
Item Type: | MPRA Paper |
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Original Title: | Econometrics and Public Health analysis: Panel Data using Feasible Generalized Least Squares |
English Title: | Econometrics and Public Health analysis: Panel Data using Feasible Generalized Least Squares |
Language: | English |
Keywords: | Anthropometrics, Econometrics, Panel Data, Health Economics, Social Indicators |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C33 - Panel Data Models ; Spatio-temporal Models H - Public Economics > H5 - National Government Expenditures and Related Policies > H51 - Government Expenditures and Health I - Health, Education, and Welfare > I1 - Health > I15 - Health and Economic Development I - Health, Education, and Welfare > I1 - Health > I18 - Government Policy ; Regulation ; Public Health I - Health, Education, and Welfare > I3 - Welfare, Well-Being, and Poverty > I38 - Government Policy ; Provision and Effects of Welfare Programs |
Item ID: | 124438 |
Depositing User: | Luis-Felipe Arizmendi |
Date Deposited: | 18 Apr 2025 11:51 |
Last Modified: | 18 Apr 2025 11:51 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/124438 |