Income inequality analysis in the period of economic transformation in poland

Domański, Czesław; Jędrzejczak, Alina

doi:10.1007/bf02297959

Cited by 4 publications

(5 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, the probability income distribution as given by equation ( 14) can also be similarly approximated, yielding, g(x) = B e (A−Bx) e e (A−Bx) ≈ B e −Bx (for Bx > A and e −Bx < 1). (21) Note that the approximation above means leaving the very low income data out of our analysis, which in turn reduces our problem to the exponential fit, as proposed in Ref. [24].…”

Section: G(x) = E E (A−bx)mentioning

confidence: 97%

“…Finally, the approximations (20) and (21) also mean that the exponential and the Gompertz curve are not very dissimilar to one another in terms of being good representations of the non-Paretian part of the individual income distribution. So, the case for the Gompertz curve is made on the grounds of a better data fit, especially considering the very low income values that are strongly represented in the Brazilian income dataset, and its possible interpretation as a growth curve in the context of attempting to connect personal income with industrial production and economic growth (see Section 5 below).…”

Section: G(x) = B E (A−bx) E E (A−bx)mentioning

confidence: 99%

“…So, this section will start by outlining our modeling perspective and how it differs from the traditional approach followed by economists. The first aspect worth mentioning is that economists often fit their income distribution data by means of complex single functions with as many parameters as necessary [7,8,12,21,50,65]. Fitting the whole dataset with single functions with four or more parameters may produce a better data fit, but the drawback is that this kind of fitting does not give a better insight into the problem.…”

Section: Modeling the Individual Income Distributionmentioning

confidence: 99%

“…For old societies, these studies include ancient Egypt [1] and medieval Hungary around 1550 [39]. A list of recent studies for modern societies carried out by both economists and econophysicists, and which by no means should be considered as exhaustive, includes Australia [6,19], Brazil [16], China [12], France [65], Germany [65], India [69], Italy [15,65], Japan [2,28,40,72,73,74], Poland [21,48], United Kingdom [25,38,65,76] and USA [8,13,14,24,25,48,50,76,79].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Evidence for the Gompertz curve in the income distribution of Brazil 1978–2005

Moura

Ribeiro²

2008

Eur. Phys. J. B

View full text Add to dashboard Cite

This work presents an empirical study of the evolution of the personal income distribution in Brazil. Yearly samples available from 1978 to 2005 were studied and evidence was found that the complementary cumulative distribution of personal income for 99% of the economically less favorable population is well represented by a Gompertz curve of the form G (x) = exp [ exp (A − Bx)], where x is the normalized individual income. The complementary cumulative distribution of the remaining 1% richest part of the population is well represented by a Pareto power law distribution P (x) = β x −α . This result means that similarly to other countries, Brazil's income distribution is characterized by a well defined two class system. The parameters A, B, α, β were determined by a mixture of boundary conditions, normalization and fitting methods for every year in the time span of this study. Since the Gompertz curve is characteristic of growth models, its presence here suggests that these patterns in income distribution could be a consequence of the growth dynamics of the underlying economic system. In addition, we found out that the percentage share of both the Gompertzian and Paretian components relative to the total income shows an approximate cycling pattern with periods of about 4 years and whose maximum and minimum peaks in each component alternate at about every 2 years. This finding suggests that the growth dynamics of Brazil's economic system might possibly follow a Goodwin-type class model dynamics based on the application of the Lotka-Volterra equation to economic growth and cycle. PACS. 89.65.Gh Economics; econophysics -89.20.-a Interdisciplinary applications of physics -87.23.Ge Dynamics of social systems -89.75.-k Complex systems -05.45.Df Fractals

show abstract

Section: G(x) = E E (A−bx)mentioning

confidence: 97%

Section: G(x) = B E (A−bx) E E (A−bx)mentioning

confidence: 99%

Section: Modeling the Individual Income Distributionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evidence for the Gompertz curve in the income distribution of Brazil 1978–2005

Moura

Ribeiro²

2008

Eur. Phys. J. B

View full text Add to dashboard Cite

show abstract

“…The Lognormal fits better than the Pareto distribution the lower income levels, but its fit towards the upper tail is far from satisfactory. Nevertheless, the Lognormal distribution can be applied to approximate selected empirical income distribution, especially in post‐socialist countries [18].…”

Section: Models For Income Datamentioning

confidence: 99%

A new parametric approach to gender gap with application to EUSILC data in Poland and Italy

Greselin

Jędrzejczak

Trzcińska

2023

Statistical Analysis

View full text Add to dashboard Cite

Real income distribution comparisons are of interest to policy makers across European countries. Nowadays, a crucial component of income inequality remains the discrepancy between men and women, often called the gender gap. Since the gender gap is related to the whole distribution of incomes in a population, popular single metrics are not adequate, and previous studies applied the relative distribution method, a non‐parametric approach to the comparison of distributions. Here, we propose a parametric approach for estimating the relative distribution. Then we extend it to assess the impact of selected covariates—related to the personal characteristics of the samples—on the existing gender gap in both countries. In more detail, models for income were fitted to empirical data from Poland and Italy, from the European Survey of Income and Living Conditions (wave 2018). Afterwards, their parameters were employed to obtain the estimates of relative distribution characteristics. The methods applied in the study turned out to be relevant to describe the gender gap over the entire income range. Finally, the results of the empirical analysis are discussed to reveal similarities and substantial differences between the countries.

show abstract

A Guide to the Dagum Distributions

Kleiber

2008

Modeling Income Distributions and Lorenz Curves

View full text Add to dashboard Cite

In a series of papers in the 1970s, Camilo Dagum proposed several variants of a new model for the size distribution of personal income. This Chapter traces the genesis of the Dagum distributions in applied economics and points out parallel developments in several branches of the applied statistics literature. It also provides interrelations with other statistical distributions as well as aspects that are of special interest in the income distribution field, including Lorenz curves and the Lorenz order and inequality measures. The Chapter ends with a survey of empirical applications of the Dagum distributions, many published in Romance language periodicals.

show abstract

Income inequality analysis in the period of economic transformation in poland

Cited by 4 publications

References 5 publications

Evidence for the Gompertz curve in the income distribution of Brazil 1978–2005

Evidence for the Gompertz curve in the income distribution of Brazil 1978–2005

A new parametric approach to gender gap with application to EUSILC data in Poland and Italy

A Guide to the Dagum Distributions

Contact Info

Product

Resources

About