The Impact of Household Food Consumption Data Collection Methods on Poverty and Inequality Measures in Niger

Backiny-Yetna, Prospere; Steele, Diane; Yacoubou Djima, Ismael

The Impact of Household Food Consumption Data Collection Methods on Poverty and Inequality Measures in Niger

Autores

Backiny-Yetna, Prospere

Steele, Diane

Yacoubou Djima, Ismael

Editor

World Bank Group, Washington, DC

Descripción

This paper assesses the impact of three methodologies of food data collection on the welfare distribution, and poverty and inequality measures in Niger. The first methodology is a 7-day recall period, the second one is a usual month, and the third one is a 7-day diary. The paper finds that there is a difference in the distribution of welfare between, on the one hand, the two first methodologies (7-day recall and a usual month, which give results close to each other) and, on the other hand, the 7-day diary method. When considering annual per capita consumption, the 7-day diary lags the 7-day recall by 28 percent. This gap is not only at the mean of the distribution, it has been found at any level. These differences lead to differences in poverty and inequality measures even when alternate poverty lines are used. This study underscores the problem that many developing countries face when it comes to monitoring poverty indicators over time where different methodologies have been used over the years.

Palabras clave

ABSOLUTE POVERTY, ACCESS TO INFRASTRUCTURE, AGRICULTURAL ACTIVITIES, AGRICULTURAL SEASON, AGRICULTURE, APPLES, ASSESSING WELFARE, BREAD, CALORIE INTAKE, CALORIES PER DAY, CALORIES PER PERSON, CALORIES PER PERSON PER DAY, CASE STUDY, CASH EXPENDITURES, CEREALS, COMPARING POVERTY, CONSISTENT POVERTY, CONSUMER PREFERENCE, CONSUMPTION AGGREGATE, CONSUMPTION DISTRIBUTION, CONSUMPTION PER CAPITA, CONSUMPTION PRICE, COOKING, DAIRY, DATES, DECLINE IN POVERTY, DEVELOPING COUNTRIES, DEVELOPMENT ISSUES, DEVELOPMENT RESEARCH, ECONOMIC GROWTH, EGGS, EXPENDITURE DATA, EXPENDITURE INFORMATION, FAMILY MEMBERS, FOOD COMPONENTS, FOOD CONSUMPTION, FOOD CONSUMPTION DATA, FOOD CONSUMPTION EXPENDITURE, FOOD CONSUMPTION INFORMATION, FOOD EXPENDITURE, FOOD EXPENDITURES, FOOD ITEMS, FOOD PRODUCT, FOOD SECURITY, HEALTH EXPENDITURES, HOUSEHOLD CHARACTERISTICS, HOUSEHOLD COMPOSITION, HOUSEHOLD CONSUMPTION, HOUSEHOLD DEMOGRAPHICS, HOUSEHOLD EXPENDITURE, HOUSEHOLD EXPENDITURES, HOUSEHOLD HEADS, HOUSEHOLD MEMBERS, HOUSEHOLD SIZE, HOUSEHOLD SURVEY, HOUSEHOLD SURVEYS, HOUSING, ILLITERACY, IMPACT ON POVERTY, INCOME, INEQUALITY, IRRIGATION, LIVING STANDARDS, LIVING STANDARDS MEASUREMENT, MAIZE, MEASURED POVERTY, MEASURING POVERTY, MEAT, MILK, MONITORING POVERTY, MONTHLY EXPENDITURE, NATIONAL POVERTY, NATIONAL POVERTY LINE, NON-FOOD COMPONENT, NON-FOOD COMPONENTS, NON-FOOD CONSUMPTION, NON-FOOD EXPENDITURE, NON-FOOD ITEMS, NONFOOD COMPONENT, NUTRITION, ORANGES, PEANUTS, PER CAPITA CONSUMPTION, POLICY RESEARCH, POOR, POOR PEOPLE, POVERTY ASSESSMENT, POVERTY COMPARISON, POVERTY COMPARISONS, POVERTY ESTIMATES, POVERTY GAP, POVERTY INDICATORS, POVERTY LEVEL, POVERTY LEVELS, POVERTY LINE, POVERTY LINES, POVERTY MEASUREMENT, POVERTY MEASURES, PRICE INFORMATION, RICE, RURAL, RURAL AREAS, RURAL POPULATION, RURAL POPULATIONS, SQUARED POVERTY GAP, STANDARD ERRORS, SURVIVAL STRATEGIES, TARGETING, UNDERSTANDING OF POVERTY, URBAN AREAS, WELFARE DISTRIBUTION, WELFARE INDICATOR, WELFARE INDICATORS, WELFARE LEVEL, WELFARE MEASURE