Pareto models, top incomes and recent trends in UK income inequality
SP Jenkins - Economica, 2017 - Wiley Online Library
I determine UK income inequality levels and trends by combining inequality estimates from
tax return data (for the 'rich') and household survey data (for the 'non‐rich'), taking advantage …
tax return data (for the 'rich') and household survey data (for the 'non‐rich'), taking advantage …
Wealth inequality: A survey
The distribution of wealth lies at the heart of the broad research field of economic inequality.
It is a topic that has recently gained considerable attention in view of the widespread …
It is a topic that has recently gained considerable attention in view of the widespread …
[图书][B] The" missing Rich'" in Household Surveys: Causes and Correction Approaches
N Lustig - 2020 - ecineq.org
This paper presents a survey of causes and correction approaches to address the “missing
rich” problem in household surveys.“Missing rich” here is a catch-all term for the issues that …
rich” problem in household surveys.“Missing rich” here is a catch-all term for the issues that …
Parametric representation of the top of income distributions: Options, historical evidence, and model selection
V Hlasny - Journal of Economic Surveys, 2021 - Wiley Online Library
Empirical distributions of top incomes suffer from statistical problems affecting the
measurement of inequality and its trend. Researchers and practitioners have been …
measurement of inequality and its trend. Researchers and practitioners have been …
Pareto models for top incomes and wealth
A Charpentier, E Flachaire - The Journal of Economic Inequality, 2022 - Springer
Top incomes are often related to Pareto distribution. To date, economists have mostly used
Pareto Type I distribution to model the upper tail of income and wealth distribution. It is a …
Pareto Type I distribution to model the upper tail of income and wealth distribution. It is a …
Evaluation of robust outlier detection methods for zero-inflated complex data
M Templ, J Gussenbauer… - Journal of Applied Statistics, 2020 - Taylor & Francis
Outlier detection can be seen as a pre-processing step for locating data points in a data
sample, which do not conform to the majority of observations. Various techniques and …
sample, which do not conform to the majority of observations. Various techniques and …
Study on statistical outlier detection and labelling
PD Domański - International Journal of Automation and Computing, 2020 - Springer
Outliers accompany control engineers in their real life activity. Industrial reality is much richer
than elementary linear, quadratic, Gaussian assumptions. Outliers appear due to various …
than elementary linear, quadratic, Gaussian assumptions. Outliers appear due to various …
Survey under‐coverage of top incomes and estimation of inequality: what is the role of the UK's SPI adjustment?
Survey under‐coverage of top incomes leads to bias in survey‐based estimates of overall
income inequality. Using income tax record data in combination with survey data is a …
income inequality. Using income tax record data in combination with survey data is a …
Estimation of social exclusion indicators from complex surveys: The R package laeken
Units sampled from nite populations typically come with di fferent inclusion probabilities.
Together with additional preprocessing steps of the raw data, this yields unequal sampling …
Together with additional preprocessing steps of the raw data, this yields unequal sampling …
Conditional income disparity between farm and non‐farm households in the European Union: A longitudinal analysis
Government interventions in the agricultural sector have been historically justified by the
existence of an income disparity between farmers and non‐farmers. However, recent studies …
existence of an income disparity between farmers and non‐farmers. However, recent studies …