Vita e Pensiero
Distribution of the ratio of female income over male income
digital
Year:
2021
There is a great discussion concerning the differences between the income of females and males. The purpose of the present study is to estimate the distribution of the ratio of female income over male income. The methodology to study the ratio in exam is based on the distribution of the ratio of two Dagum random variables with three parameters proposed in 2010 by Pollastri and Zambruno...
Income distribution and income inequalities in polish households
digital
Year:
2021
This paper aims to assess the direction of changes in the distribution of per capita income as well as income inequalities in Polish households. The main trends of change were distinguished on the basis of theoretical distributions estimated for 2009-2018. However, a detailed comparative analysis of income distribution and the decomposition of income inequalities by major socio-economic groups was carried out for 2015 and 2018 (before and during the implementation of significant social programmes)...
The sam’s global multiplier matrix as a ‘‘structural’’ inequality
measure of personal income distribution
digital
Year:
2021
Aim of this paper is to introduce the ‘‘global multipliers matrix’’ as a ‘‘structural’’ inequality measure of personal income distribution. This measure is derived from the Social Accounting Matrix, considered as a linear model. The multiplier approach allows quantifying the different ways by which, an income equally earned by each Household’s group, turns into different disposable income levels through the three stages of spending, production and distribution. The resulting inequality in personal income distribution can be considered as the minimum inequality compatible with the given productive and spending structures, and hence as a result of the mechanism explicitly considered in the model...
Modeling bivariate income and consumption distribution using
copula function and reparameterized Dagum distribution
digital
Year:
2021
In this work, we propose to jointly analyse income and consumption distribution, using copula function to model the dependence structure, and the new formulation of Dagum distribution, proposed by Domma, Condino and Giordano (2018), to model the marginal distributions with a clear economic meaning of the marginal parameters...
Social determinants of health and inequality measures
digital
Year:
2021
Across the healthcare landscape, it is now widely understood that Social Determinants Of Health (SDOH) have a major impact on health outcomes, care quality and medical costs. Individuals’ race, ethnicity, education, income level or geographical location often have more influence on their physical and mental health than clinical factors...
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digital
Year:
2022
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Generalized Alpha Skew Normal Distribution
digital
Year:
2020
This paper extends the work of Elal-Olivero (2010) on the alpha-skew normal distribution. The extension is a multivariate version of Elal-Olivero’s univariate case. Then we study the statistical properties of the new extension such as marginal and conditional distribution, closure under convolution with normal random variate. Furthermore, we illustrate the performance of the distribution using simulated data obtained from the generalized distribution via the Metropolis-Hasting algorithm...
On evaluation of sample size to test hypothesis
on Benford’s distribution
digital
Year:
2020
Benford’s distribution,also known as first-digit law, is used to detect several kinds of frauds on the basis of data. Several statistical tests are used to verify that real-life sources of data have Benford’s distribution. In this paper we consider in detail the well-known chi-square test and the Kolmogorov test of goodness of fit...
Robust estimation in joint modelling for human intelligence
digital
Year:
2020
Joint models under generalized linear mixed model framework have received lot of attention among researchers in the field of psychology to analyse data with more than one response variable. The presence of aberrant observations in the data may influence the estimation of parameters in the existing method of estimation such as maximum likelihood, quasi-likelihood...
Forecasting macroeconomic volatility with score-driven models
digital
Year:
2020
Business cycle volatility has been extensively studied by means of the well-known ARCH and GARCH processes. Aim of this paper is to show that the score-driven models are instead more accurate in predicting business cycle volatility than the GARCH-type models...
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