A Multinational Empirical Analysis of Humanitarian Assistance

Abstract

In an age of globalization, the development of productive nations is paramount. Over the past century, the United States has worked to aid in the advancement of underdeveloped countries - with the hope of expanding trade and fostering worldwide growth. Humanitarian assistance is one of the most significant means by which progress is facilitated around the globe. In order to assess the merits of outside assistance, this study gathered data that illustrates the trends and behaviors of potential aid recipients. Using this data, econometric models demonstrating the relationship between GDP growth per capita and aid were fitted. Data was derived from the World Development Indicators, the leading source of data on development, and the PRS Group, a private organization that develops data used to evaluate the risks faced by potential investors and benefactors. Using the data from these sources, econometric models estimating the dependence of growth on aid were estimated. The result lends insight into many questions related to aid. First, how significantly does humanitarian aid offered affect GDP growth, and how does it affect the long-run performance of an economy? Second, do country specific variables, such as locale and economic power, influence the performance of humanitarian aid, and if so, to what extent? Based on the estimated models, one can make the determination whether it is beneficial to offer a certain category of country aid, or if aid is going to the proper locations.

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Document Details

Document Type
Technical Report
Publication Date
May 07, 2002
Accession Number
ADA405972

Entities

People

  • Amanda L. Donges

Organizations

  • United States Naval Academy

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Central Asia
  • Data Sets
  • Domestic
  • Economic Development
  • Economics
  • Education
  • Equations
  • Humanitarian Assistance
  • Investments
  • Middle East
  • New York
  • North America
  • Regression Analysis
  • Saharan Africa
  • South America
  • United States
  • United States Naval Academy

Readers

  • International Relations and European Studies
  • Military and Counterinsurgency Studies.
  • Systems Analysis and Design