Using Repeated Cross-Sections to Explore Movements in and out of Poverty

Movements in and out of poverty are of core interest to both policymakers and economists. Yet the panel data needed to analyze such movements are rare. In this paper, the authors build on the methodology used to construct poverty maps to show how repeated cross-sections of household survey data can allow inferences to be made about movements in and out of poverty. They illustrate that the method permits the estimation of bounds on mobility, and provide non-parametric and parametric approaches to obtaining these bounds. They test how well the method works on data sets for Vietnam and Indonesia where we are able to compare our method to true panel estimates. The results are sufficiently encouraging to offer the prospect of some limited, basic, insights into mobility and poverty duration in settings where historically it was judged that the data necessary for such analysis were unavailable.

Bibliographic Details

Main Authors:	Luoto, Jill, Dang, Hai-Anh, Lanjouw, Peter, McKenzie, David
Language:	English
Published:	2011-01-01
Subjects:	AGGREGATE POVERTY, AUTOCORRELATION, BIASES, BOOTSTRAP, CALCULATION, CHRONIC ILLNESS, CHRONIC POVERTY, COMPUTATION, CONSUMPTION GROWTH, CONSUMPTION PER CAPITA, CUMULATIVE DISTRIBUTION, CUMULATIVE DISTRIBUTION FUNCTION, DATA SETS, DEGREE OF IMMOBILITY, DENSITY FUNCTION, DEPENDENT VARIABLE, DEVELOPING COUNTRIES, DEVELOPING WORLD, DEVELOPMENT ECONOMICS, DEVELOPMENT POLICY, DEVELOPMENT RESEARCH, DISADVANTAGED GROUPS, DRINKING WATER, DUMMY VARIABLES, ECONOMETRICS, ECONOMIC DEVELOPMENT, ECONOMIC GROWTH, ECONOMIC STUDIES, ECONOMICS, EDUCATION LEVEL, EMPIRICAL APPLICATION, EMPIRICAL SECTION, EQUATIONS, ERROR TERM, ERROR TERMS, ESTIMATES OF POVERTY, ESTIMATION METHOD, ESTIMATION RESULTS, ETHNIC MINORITY, ETHNIC MINORITY GROUPS, EXTREME POVERTY, EXTREME POVERTY LINES, FARMING AREAS, FEMALE-HEADED HOUSEHOLDS, FIXED EFFECTS, HEALTH OUTCOMES, HOUSEHOLD COMPOSITION, HOUSEHOLD CONSUMPTION, HOUSEHOLD HEAD, HOUSEHOLD HEADS, HOUSEHOLD LIVING STANDARDS, HOUSEHOLD SIZE, HOUSEHOLD SURVEY, HOUSEHOLD SURVEYS, HOUSING, HUMAN CAPITAL, HYPOTHESES, IDIOSYNCRATIC SHOCKS, INCOME, INCOME DYNAMICS, INCOME LEVELS, INCOME SHOCKS, INDEPENDENT VARIABLE, INEQUALITY, LABOR MARKET, MEASUREMENT ERRORS, MEASUREMENT OF POVERTY, MODEL SPECIFICATIONS, NATIONAL POVERTY, NATIONAL POVERTY LINE, NATURAL DISASTERS, NEGATIVE SIGN, NORMAL DISTRIBUTION, POINT ESTIMATE, POINT ESTIMATES, POLICY MAKERS, POLICY RESEARCH, POLITICAL ECONOMY, POOR, POVERTY ASSESSMENT, POVERTY DYNAMICS, POVERTY GAP, POVERTY LINE, POVERTY LINES, POVERTY MAP, POVERTY MAPPING, POVERTY MAPS, POVERTY MEASURES, POVERTY RATE, POVERTY RATES, POVERTY STATUS, POVERTY TRAPS, PREDICTION, PREDICTIONS, PRIMARY EDUCATION, PROBABILITIES, PROBABILITY, RANDOM SAMPLES, REGIONAL CHARACTERISTICS, RELIABILITY, RUNNING WATER, RURAL, RURAL AREA, SAFETY NET, SAMPLE SIZE, SAVINGS, SCHOOLING, SOCIAL SAFETY NETS, STANDARD DEVIATIONS, STANDARD ERRORS, STATISTICAL INFERENCE, STATISTICAL METHODOLOGY, STATISTICAL SIGNIFICANCE, TECHNICAL ASSISTANCE, THEOREMS, TIME SERIES, UNEMPLOYMENT, VALIDITY,
Online Access:	http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20120227151946 https://hdl.handle.net/10986/3698
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