Stated Preference Economic Development Model

Abstract

The United States Government has provided over $51 billion in aid to Afghanistan since 2002. There are a lack of data and methods to determine the net social benefit of this aid. Additionally, currently available data are insufficient to properly prioritize the usage and award of this aid. SPED involved the creation of tools that estimate the net social benefit of projects using cost-benefit techniques referred to as contingent valuation methods (CVM). Additionally, SPED estimated the net social benefit of several different types of development projects in Afghanistan.SPED was a joint effort with the U.S. Army Human Terrain System (HTS) and involved a significant survey effort in Afghanistan that produced an empirical dataset showing how different population groups value several different classes of development projects. However, the studys methodology can be tailored to value any set of nonlethal actions. SPED can help strategic, operational, and tactical commanders to prioritize development aid; estimate the impact of nonlethal actions on civilian attitudes; determine the net social benefit of projects or programs; and validate subjective information on population priorities that is obtained through existing channels.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2015
Accession Number
AD1011113

Entities

People

  • Kevin N Griffith

Organizations

  • Center for Army Analysis

Tags

Communities of Interest

  • Biomedical
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Best Practices
  • Drinking Water
  • Economic Development
  • Employment
  • Families (Human)
  • Governments
  • Military Operations
  • Military Science
  • Mobile Phones
  • Nongovernmental Organizations
  • Personnel Management
  • Students
  • Teamwork
  • United States
  • United States Africa Command
  • United States Central Command
  • United States Government

Readers

  • Computational Modeling and Simulation
  • Military History / Militaries and War Studies
  • Organizational Process Management (OPM).