It is sometimes observed and frequently assumed that top incomes in household surveys worldwide are poorly measured and that this problem biases the measurement of income inequality. This paper tests this assumption and compares the performance of reweighting and replacing methods designed to correct inequality measures for top-income biases generated by data issues such as unit or item non-response. Results for the European Union’s Statistics on Income and Living Conditions survey indicate that survey response probabilities are negatively associated with income and bias the measurement of inequality downward. Correcting for this bias with reweighting, the Gini coefficient for Europe is revised upwards by 3.7 percentage points. Similar results are reached with replacing of top incomes using values from the Pareto distribution when the cut point for the analysis is below the 95th percentile. For higher cut points, results with replacing are inconsistent suggesting that popular parametric distributions do not mimic real data well at the very top of the income distribution.

Purpose: The purpose of this paper is to investigate the prevalence and drivers of employment vulnerability among youth in Egypt, Jordan and Tunisia, and their propensity to transition to better jobs over time.Design/methodology/approach: The analysis is based on longitudinal data from Labor Market Panel Surveys spanning 6–20 years. The authors use transition matrices to examine the prevalence of transitions between labor market statuses for the same individuals over time, distinguishing between youth and non-youth, and men and women, as well as multinomial logistic regressions that control for individual and family background, including previous labor market status, family wealth and parental education.Findings: The paper finds that youth in all three countries were disadvantaged in terms of labor market outcomes with most young men in particular ending up in vulnerable jobs while women of all ages were most likely to exit the labor market all together, unless they had formal jobs. Moreover, youth who started out in the labor market in a vulnerable job were unlikely to move to a better-quality job over time. Family wealth, parental education and father's occupation were found to be important determinants of labor market outcomes and vulnerability, even after a long period of work experience.Social implications: The paper finds that wealth effects, parental education and occupation effects follow workers throughout their careers, implying low equality of opportunity and inter-generational and lifetime mobility.Originality/value: The findings indicate worsening labor market outcomes over time, heavily influenced by family background. High levels of vulnerable employment persistence, regardless of skill and experience, reinforce the importance of initial labor market outcome on the quality of lifetime employment prospects.

This study exploits unprecedented access to income data and a combination of newly developed statistical methods to evaluate income inequality in Egypt and test for potential top incomes biases. Income inequality in Egypt is found to be low by regional and world standards; top incomes are found to follow the Pareto distribution and do not show anomalies compared to surveys worldwide. Correcting for top incomes biases increases the Gini coefficient significantly. The magnitude of the upward correction varies between 1.1 and 4.1 percentage points depending on the choice of correction method and welfare measure.

Empirical distributions of top incomes suffer from statistical problems affecting the measurement of inequality and its trend. Researchers and practitioners have been increasingly noting parametric regularities across income distributions and turning to parametric functions to approximate or supplement the observed distributions, both for descriptive purposes and for correcting distributional statistics derived from data. The proliferation of distinct branches of modeling literature has highlighted the need to compare the alternative modeling options, and develop systematic tools to discriminate between them. This paper reviews the state of methodological and empirical knowledge regarding the adoptable parametric functions, and lists references and statistical programs allowing practitioners to apply these models to microdata in household surveys and administrative registers, or grouped‐records data from national accounts statistics. Implications for modeling the distributions of other economic outcomes including consumption and wealth, and incomes below the topmost tail, are drawn. For incomes, a handful of distribution functions hold promise for modeling the top tails based on theoretical and empirical properties—namely the extreme values distributions, the generalized Pareto, the Singh–Maddala and the generalized beta type 2. Understanding these functions in relation to other commonly invoked alternatives is a contribution of this review.

Introductions of nonindigenous organisms into the United States have been linked to international trade. The individual contributions of imports, immigration, and international travel, however, are poorly understood because introduction dates are unavailable. We examine relationships between economic trends and discoveries of nonindegenous insects and use these relationships to infer the timing and determinants of introductions. We find that a few variables can explain much variation in species introductions and identifications. The most significant contributor to the introduction appears to be agricultural imports. Currently available proxies for academic effort are weak determinants of the probability that introduced species are identified.