Language:
English
Pages:
1 Online-Ressource (41 pages)
Parallel Title:
Erscheint auch als Belotti, Federico Outlier Detection for Welfare Analysis
Keywords:
Extreme Values
;
Household Budget Surveys
;
Incremental Trimming Curve
;
Inequality
;
Inequality Measure
;
Influence of Extreme Survey Data
;
Outlier Detection
;
Outliers
;
Poverty
;
Poverty Measure
;
Poverty Monitoring and Analysis
;
Poverty Reduction
;
Social Analysis
;
Social Development
;
Survey Data Outlier Criterion
Abstract:
Extreme values are common in survey data and represent a recurring threat to the reliability of both poverty and inequality estimates. The adoption of a consistent criterion for outlier detection is useful in many practical applications, particularly when international and intertemporal comparisons are involved. This paper discusses a simple, univariate detection procedure to flag outliers in the distribution of any variable of interest. It presents outdetect, a Stata command that implements the procedure and provides useful diagnostic tools. The output of outdetect compares statistics-with focus on inequality and poverty measures-obtained before and after the exclusion of outliers. Finally, the paper carries out an extensive sensitivity exercise, where the same outlier detection method is applied consistently to per capita expenditure across more than 30 household budget surveys. The results are clear-cut and provide a sense of the influence of extreme values on poverty and inequality estimates
DOI:
10.1596/1813-9450-10231
