Estimating the Poverty Impacts of Trade Liberalization

As a new round of World Trade Organization negotiations is being launched with greater emphasis on developing country participation, a body of literature is emerging which quantifies how international trade affects the poor in developing countries. In this survey of the literature, the author summarizes and classifies 35 trade and poverty studies into four methodological categories; cross-country regression, partial-equilibrium and cost-of-living analysis, general-equilibrium simulation, and micro-macro synthesis. These categories include a broad range of methodologies in current use. The continuum of approaches is bounded on one end by econometric analysis of household expenditure data, which is the traditional domain of poverty specialists, and sometimes labeled the "bottoms-up" approach. On the other end of the continuum are computable general equilibrium models based on national accounts data, or what might be called the "top-down" approach. Another feature of several recent trade and poverty studies--and one of the primary conclusions to emerge from the October 2000 "Conference on Poverty and the International Economy," sponsored by Globkom and the World Bank--is the recognition that factor markets are perhaps the most important link between trade and poverty, since households tend to be much more specialized in income than they are in consumption. Meanwhile, survet data on the income sources of developing country households has become increasingly available. As a result, this survey gives particular emphasis to the means by which studies address factor market links between trade and poverty. The general conclusion of the author's survey is that any analysis of trade and poverty needs to be informed by both the bottom-up and top-down perspectives. Indeed, recent "two-step" micro-macro studies sequentially link these two types of frameworks, such that general equilibrium mechanisms are incorporated along with detailed household survey information. Another methodology in a similar spirit and also increasingly used involves incorporating large numbers of surveyed households into a general-equilibrium simulation model. Although most of these studies have so far been limited to a single region, these approaches can be readily adapted for multi-region modeling so that trade and poverty comparisons can be made across countries within a consistent framework.

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Bibliographic Details
Main Author: Reimer, Jeffrey J.
Language:English
en_US
Published: World Bank, Washington, DC 2002-02
Subjects:TRADE LIBERALIZATION, INTERNATIONAL TRADE, LITERATURE SURVEYS, CROSS-COUNTRY EXPERIENCE, REGRESSION ANALYSIS, COST OF LIVING, ECONOMETRIC MODELS OF POVERTY, HOUSEHOLD SURVEYS, HOUSEHOLD EXPENDITURE SURVEYS, GENERAL EQUILIBRIUM MODELS, NATIONAL ACCOUNTS, FACTOR MARKETS, POVERTY MEASUREMENT, SURVEY DATA, HOUSEHOLD INCOME, POVERTY ANALYSIS ABSOLUTE POVERTY, ADJUSTMENT COST, ADJUSTMENT COSTS, ADVERSE IMPACT, AGGREGATE LEVEL, AGRICULTURAL ECONOMICS, AGRICULTURAL SECTOR, AGRICULTURE, CASE STUDY, COMMODITIES, COMPARATIVE ADVANTAGE, CONSTANT ELASTICITY, CONSUMERS, CONSUMPTION DATA, CROSS- COUNTRY REGRESSION, CROSS-COUNTRY REGRESSION, DATA REQUIREMENTS, DATA SET, DATA SOURCES, DEMAND CURVE, DEVELOPING COUNTRIES, DEVELOPING COUNTRY, DEVELOPING COUNTRY CONTEXT, DISTRIBUTIONAL EFFECTS, DIVIDENDS, ECONOMIC CHARACTERISTICS, ECONOMIC GROWTH, ECONOMIC SHOCKS, ECONOMIC STRUCTURE, ECONOMISTS, EDUCATIONAL ATTAINMENT, ELASTICITY, ELASTICITY OF SUBSTITUTION, EMPIRICAL RESULTS, EMPIRICAL STUDIES, EMPLOYMENT, ENDOGENOUS VARIABLES, EQUILIBRIUM, EQUILIBRIUM ANALYSES, EQUILIBRIUM VALUES, EXOGENOUS SHOCKS, EXPENDITURE DATA, EXPENDITURE INFORMATION, EXTERNAL SHOCKS, FACTOR INCOME, FINANCIAL CRISIS, FOREIGN EXCHANGE, FREE TRADE, FUNCTIONAL FORM, GENERAL EQUILIBRIUM ANALYSIS, GENERAL EQUILIBRIUM MODEL, GLOBAL TRADE, GROWTH RATES, HOUSEHOLD BEHAVIOR, HOUSEHOLD LEVEL, HOUSEHOLD SURVEY, HOUSEHOLDS, INCOME, INCOME DISTRIBUTION, INCOME EFFECT, INCOME HOUSEHOLDS, INCOME INEQUALITY, INCOME INFORMATION, INCOME LEVEL, INCOME LEVELS, INCOME SHARE, INCOME SOURCES, INCOMES, INDIVIDUAL LEVEL, INEQUALITY VARIABLES, INFORMAL ACTIVITIES, INFORMAL SECTOR, INFORMAL SECTORS, INTERMEDIATE INPUTS, LABOR DEMAND, LABOR MARKET, LABOR MARKETS, LABOR SUPPLY, LIVING STANDARDS, LOW INCOME, MARKET LIBERALIZATION, MEASURING POVERTY, METHODOLOGICAL APPROACHES, MULTIPLIERS, NATIONAL LEVEL, NON-AGRICULTURAL ACTIVITIES, POLICY ANALYSIS, POLICY OPTIONS, POLICY RESEARCH, POOR, POOR HOUSEHOLDS, POSITIVE EFFECT, POVERTY ALLEVIATION, POVERTY COMPARISONS, POVERTY INCREASES, POVERTY INDEX, POVERTY ISSUES, POVERTY LINE, POVERTY MEASURES, POVERTY REDUCTION, PRICE CHANGES, PRODUCERS, PRODUCTIVE ACTIVITY, PRODUCTIVITY, REAL WAGE, REDISTRIBUTIVE EFFECTS, REGRESSION APPROACH, REGRESSION RESULTS, RELATIVE IMPACT, RELATIVE IMPORTANCE, RELATIVE INCOME, RELATIVE PRICES, RURAL, RURAL AREAS, RURAL HOUSEHOLDS, RURAL POOR, SAVINGS, SENSITIVITY ANALYSIS, SHARECROPPING, STATISTICAL ANALYSIS, SUBSISTENCE FARMERS, TERMS OF TRADE, TIME FRAME, TRADE BALANCE, TRADE POLICIES, TRADE TAXES, URBAN, URBAN AREAS, URBAN ONES, URBAN POOR, WAGE RATES, WAGES, WEALTH, WORLD TRADE ORGANIZATION, WTO,
Online Access:http://documents.worldbank.org/curated/en/2002/02/1717451/estimating-poverty-impacts-trade-liberalization
https://hdl.handle.net/10986/15611
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