Exploring the Sources of Downward Bias in Measuring Inequality of Opportunity
This study analyzes the extent of downward bias in the calculation of inequality of opportunity for continuous outcomes such as income. A typically recognized source of bias is the unobserved circumstances as there is a limited set of variables...
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2015
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Online Access: | http://documents.worldbank.org/curated/en/2015/10/25203297/exploring-sources-downward-bias-measuring-inequality-opportunity http://hdl.handle.net/10986/22881 |
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okr-10986-228812021-04-23T14:04:11Z Exploring the Sources of Downward Bias in Measuring Inequality of Opportunity Lara Ibarra, Gabriel Martinez Cruz, Adan L. LIVING STANDARDS EQUAL OPPORTUNITY HOUSEHOLD SURVEY POPULATION DISTRIBUTION POPULATION EDUCATION ECONOMIC GROWTH CAPITAL ACCUMULATION INCOME INTEREST NORMAL DISTRIBUTION INCOME INCREASE SIMULATIONS INEQUALITY INDEX LABOR FORCE DEVELOPING COUNTRIES HEALTH CARE INDIVIDUAL CHOICES POLITICAL ECONOMY EMPIRICAL ISSUE WELFARE MEAN LOG DEVIATION INCENTIVES DISTRIBUTION POLICY DISCUSSIONS VARIABLES WEALTH MEASURES RURAL COMMUNITY EMPIRICAL LITERATURE EXPERIMENTAL DESIGN NATURAL LOG PUBLIC POLICY BETWEEN-GROUP INEQUALITY ABSOLUTE VALUE DEVELOPMENT ECONOMICS EDUCATIONAL ATTAINMENT DESCRIPTIVE STATISTICS INEQUALITY MEASURES INCOME INEQUALITY AVERAGE INCOME GINI INDEX HOUSEHOLD INCOME EXPLANATORY VARIABLES ANTI-POVERTY INDICATORS PRODUCT UTILITY MENTAL HEALTH MORTALITY RESPECT PROGRESS INFANT MORTALITY FREE WILL CONSUMPTION HUMAN CAPITAL INFANT ECONOMIC SURVEYS EMPIRICAL APPROACHES WAGES POLICIES ECONOMIC OUTCOMES HIGHER INEQUALITY REGIONAL DUMMIES POLICY RESEARCH WORKING PAPER PUBLIC POLICIES VALUE RELATIVE POSITION DEPENDENT VARIABLE INCOME DIFFERENTIALS POLICY MAKERS DISTRIBUTION FUNCTION INCOME DISTRIBUTIONS PURCHASING POWER NEGATIVE EFFECT INCOME DISTRIBUTION SOCIAL MOVEMENTS MEAN LOG DEVIATION INCOMES POSITIVE CORRELATION RURAL MEASUREMENT DOWNWARD BIAS POPULATIONS MOTHER SURVEYS POLICY CUMULATIVE DISTRIBUTION FUNCTION ECONOMIC INEQUALITY EMPIRICAL REGULARITY ANTI-POVERTY POLICY TAXATION ECONOMIC DEVELOPMENT DEPENDENT VARIABLE LOW INCOME GROUP INEQUALITY THEORY POVERTY POPULATION EQUALITY OF OPPORTUNITY NEONATAL MORTALITY PRACTITIONERS POLICY RESEARCH RISING INEQUALITY POOR MEASURING INEQUALITY LACK OF INFORMATION POPULATION EDUCATION OUTCOMES HEALTH SERVICES PUBLIC AFFAIRS INCOME TAXATION HUMAN DEVELOPMENT DEVELOPMENT POLICY INEQUALITY This study analyzes the extent of downward bias in the calculation of inequality of opportunity for continuous outcomes such as income. A typically recognized source of bias is the unobserved circumstances as there is a limited set of variables available in household and labor force surveys. Another previously overlooked source is the likely unobservable nature of top incomes. Using Monte Carlo simulations where the underlying inequality of opportunity is predetermined at various levels, the study presents three key findings. First, the omission of a relevant circumstance can bias the inequality of opportunity estimate by as much as 80 percent, depending on how much variation of the outcome such circumstance explains. Second, not observing the top 5 percent of the income distribution can lead to downward biases of anywhere between 12 and 35 percent, and the combination of missing the most favored population and even one relevant circumstance exacerbates the bias of the empirical estimates. The third key result is that the estimated inequality of opportunity is strongly correlated with the amount of variation in the outcome variable explained by the combination of circumstances (measured by the R2). This result suggests that in empirical applications, the inequality of opportunity estimate can be roughly (and quickly) approximated using simple econometric techniques. 2015-11-05T19:34:01Z 2015-11-05T19:34:01Z 2015-10 Working Paper http://documents.worldbank.org/curated/en/2015/10/25203297/exploring-sources-downward-bias-measuring-inequality-opportunity http://hdl.handle.net/10986/22881 English en_US Policy Research Working Paper;No. 7458 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research :: Policy Research Working Paper Publications & Research |
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English en_US |
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LIVING STANDARDS EQUAL OPPORTUNITY HOUSEHOLD SURVEY POPULATION DISTRIBUTION POPULATION EDUCATION ECONOMIC GROWTH CAPITAL ACCUMULATION INCOME INTEREST NORMAL DISTRIBUTION INCOME INCREASE SIMULATIONS INEQUALITY INDEX LABOR FORCE DEVELOPING COUNTRIES HEALTH CARE INDIVIDUAL CHOICES POLITICAL ECONOMY EMPIRICAL ISSUE WELFARE MEAN LOG DEVIATION INCENTIVES DISTRIBUTION POLICY DISCUSSIONS VARIABLES WEALTH MEASURES RURAL COMMUNITY EMPIRICAL LITERATURE EXPERIMENTAL DESIGN NATURAL LOG PUBLIC POLICY BETWEEN-GROUP INEQUALITY ABSOLUTE VALUE DEVELOPMENT ECONOMICS EDUCATIONAL ATTAINMENT DESCRIPTIVE STATISTICS INEQUALITY MEASURES INCOME INEQUALITY AVERAGE INCOME GINI INDEX HOUSEHOLD INCOME EXPLANATORY VARIABLES ANTI-POVERTY INDICATORS PRODUCT UTILITY MENTAL HEALTH MORTALITY RESPECT PROGRESS INFANT MORTALITY FREE WILL CONSUMPTION HUMAN CAPITAL INFANT ECONOMIC SURVEYS EMPIRICAL APPROACHES WAGES POLICIES ECONOMIC OUTCOMES HIGHER INEQUALITY REGIONAL DUMMIES POLICY RESEARCH WORKING PAPER PUBLIC POLICIES VALUE RELATIVE POSITION DEPENDENT VARIABLE INCOME DIFFERENTIALS POLICY MAKERS DISTRIBUTION FUNCTION INCOME DISTRIBUTIONS PURCHASING POWER NEGATIVE EFFECT INCOME DISTRIBUTION SOCIAL MOVEMENTS MEAN LOG DEVIATION INCOMES POSITIVE CORRELATION RURAL MEASUREMENT DOWNWARD BIAS POPULATIONS MOTHER SURVEYS POLICY CUMULATIVE DISTRIBUTION FUNCTION ECONOMIC INEQUALITY EMPIRICAL REGULARITY ANTI-POVERTY POLICY TAXATION ECONOMIC DEVELOPMENT DEPENDENT VARIABLE LOW INCOME GROUP INEQUALITY THEORY POVERTY POPULATION EQUALITY OF OPPORTUNITY NEONATAL MORTALITY PRACTITIONERS POLICY RESEARCH RISING INEQUALITY POOR MEASURING INEQUALITY LACK OF INFORMATION POPULATION EDUCATION OUTCOMES HEALTH SERVICES PUBLIC AFFAIRS INCOME TAXATION HUMAN DEVELOPMENT DEVELOPMENT POLICY INEQUALITY |
spellingShingle |
LIVING STANDARDS EQUAL OPPORTUNITY HOUSEHOLD SURVEY POPULATION DISTRIBUTION POPULATION EDUCATION ECONOMIC GROWTH CAPITAL ACCUMULATION INCOME INTEREST NORMAL DISTRIBUTION INCOME INCREASE SIMULATIONS INEQUALITY INDEX LABOR FORCE DEVELOPING COUNTRIES HEALTH CARE INDIVIDUAL CHOICES POLITICAL ECONOMY EMPIRICAL ISSUE WELFARE MEAN LOG DEVIATION INCENTIVES DISTRIBUTION POLICY DISCUSSIONS VARIABLES WEALTH MEASURES RURAL COMMUNITY EMPIRICAL LITERATURE EXPERIMENTAL DESIGN NATURAL LOG PUBLIC POLICY BETWEEN-GROUP INEQUALITY ABSOLUTE VALUE DEVELOPMENT ECONOMICS EDUCATIONAL ATTAINMENT DESCRIPTIVE STATISTICS INEQUALITY MEASURES INCOME INEQUALITY AVERAGE INCOME GINI INDEX HOUSEHOLD INCOME EXPLANATORY VARIABLES ANTI-POVERTY INDICATORS PRODUCT UTILITY MENTAL HEALTH MORTALITY RESPECT PROGRESS INFANT MORTALITY FREE WILL CONSUMPTION HUMAN CAPITAL INFANT ECONOMIC SURVEYS EMPIRICAL APPROACHES WAGES POLICIES ECONOMIC OUTCOMES HIGHER INEQUALITY REGIONAL DUMMIES POLICY RESEARCH WORKING PAPER PUBLIC POLICIES VALUE RELATIVE POSITION DEPENDENT VARIABLE INCOME DIFFERENTIALS POLICY MAKERS DISTRIBUTION FUNCTION INCOME DISTRIBUTIONS PURCHASING POWER NEGATIVE EFFECT INCOME DISTRIBUTION SOCIAL MOVEMENTS MEAN LOG DEVIATION INCOMES POSITIVE CORRELATION RURAL MEASUREMENT DOWNWARD BIAS POPULATIONS MOTHER SURVEYS POLICY CUMULATIVE DISTRIBUTION FUNCTION ECONOMIC INEQUALITY EMPIRICAL REGULARITY ANTI-POVERTY POLICY TAXATION ECONOMIC DEVELOPMENT DEPENDENT VARIABLE LOW INCOME GROUP INEQUALITY THEORY POVERTY POPULATION EQUALITY OF OPPORTUNITY NEONATAL MORTALITY PRACTITIONERS POLICY RESEARCH RISING INEQUALITY POOR MEASURING INEQUALITY LACK OF INFORMATION POPULATION EDUCATION OUTCOMES HEALTH SERVICES PUBLIC AFFAIRS INCOME TAXATION HUMAN DEVELOPMENT DEVELOPMENT POLICY INEQUALITY Lara Ibarra, Gabriel Martinez Cruz, Adan L. Exploring the Sources of Downward Bias in Measuring Inequality of Opportunity |
relation |
Policy Research Working Paper;No. 7458 |
description |
This study analyzes the extent of
downward bias in the calculation of inequality of
opportunity for continuous outcomes such as income. A
typically recognized source of bias is the unobserved
circumstances as there is a limited set of variables
available in household and labor force surveys. Another
previously overlooked source is the likely unobservable
nature of top incomes. Using Monte Carlo simulations where
the underlying inequality of opportunity is predetermined at
various levels, the study presents three key findings.
First, the omission of a relevant circumstance can bias the
inequality of opportunity estimate by as much as 80 percent,
depending on how much variation of the outcome such
circumstance explains. Second, not observing the top 5
percent of the income distribution can lead to downward
biases of anywhere between 12 and 35 percent, and the
combination of missing the most favored population and even
one relevant circumstance exacerbates the bias of the
empirical estimates. The third key result is that the
estimated inequality of opportunity is strongly correlated
with the amount of variation in the outcome variable
explained by the combination of circumstances (measured by
the R2). This result suggests that in empirical
applications, the inequality of opportunity estimate can be
roughly (and quickly) approximated using simple econometric techniques. |
format |
Working Paper |
author |
Lara Ibarra, Gabriel Martinez Cruz, Adan L. |
author_facet |
Lara Ibarra, Gabriel Martinez Cruz, Adan L. |
author_sort |
Lara Ibarra, Gabriel |
title |
Exploring the Sources of Downward Bias in Measuring Inequality of Opportunity |
title_short |
Exploring the Sources of Downward Bias in Measuring Inequality of Opportunity |
title_full |
Exploring the Sources of Downward Bias in Measuring Inequality of Opportunity |
title_fullStr |
Exploring the Sources of Downward Bias in Measuring Inequality of Opportunity |
title_full_unstemmed |
Exploring the Sources of Downward Bias in Measuring Inequality of Opportunity |
title_sort |
exploring the sources of downward bias in measuring inequality of opportunity |
publisher |
World Bank, Washington, DC |
publishDate |
2015 |
url |
http://documents.worldbank.org/curated/en/2015/10/25203297/exploring-sources-downward-bias-measuring-inequality-opportunity http://hdl.handle.net/10986/22881 |
_version_ |
1764452310582296576 |