[
Arcagni, A., Porro, F. (2013). On the parameters of Zenga distribution. Statistical Methods & Applications, 22 (3), 285–303. DOI: 10.1007/s10260-012-0219-y.
]Open DOISearch in Google Scholar
[
Aitchison, J., Brown, J. (1957). The Lognormal Distribution with Special Reference to its Uses in Economics. Cambridge: Cambridge University Press.
]Search in Google Scholar
[
Atkinson, A.B. (1970). On Measurement of Inequality. Journal of Economic Theory, 2 (3).10.1016/0022-0531(70)90039-6
]Search in Google Scholar
[
Barroso, F.J.C., Garcia-Perez, C., Prieto-Alaiz, M. (2020). Modelling income distribution using the log Student’st distribution: New evidence for European Union countries. Economic Modelling, 89, 512–522. DOI: 10.1016/j.econmod.2019.11.021.
]Open DOISearch in Google Scholar
[
Brzeziński, M. (2013). Parametric Modelling of Income Distribution in Central and Eastern Europe. Central European Journal of Economic Modelling and Econometrics, 5, 207–230.
]Search in Google Scholar
[
Dagum, C. (1977). A new model of personal income distribution: specification and estimation. Economie appliqu´ee, 30 (3), 413–437.10.3406/ecoap.1977.4213
]Search in Google Scholar
[
Chotikapanich, D. (2008). Modeling Income Distributions and Lorenz Curves. Springer.10.1007/978-0-387-72796-7
]Search in Google Scholar
[
Ćwiek, M., Ulman, P. (2019). Income and Poverty in Households in Selected European Countries. Acta Universitatis Lodziensis, Folia Oeconomica, 6 (345), 7–25. DOI: 10.18778/0208-6018.345.01.
]Open DOISearch in Google Scholar
[
D’Addario, R. (1934). Sulla misura della concentrazione dei redditi. Roma: Poligrafo dello Stato.
]Search in Google Scholar
[
D’Addario, R. (1939). Un Metodo Per la Rappresentazione Analitica Delle Distribuzioni Statistiche. Ammali dell ‘Instituto di Statistica dell Universita di Bari. 16, 3–56.
]Search in Google Scholar
[
Elteto, O. (1962). Analysis of the Types and Characteristics of the Income Distribution. In: The Standard of Living. Budapest.
]Search in Google Scholar
[
Jagielski, M., Kutner, R. (2010). Study of household income in Poland by using the statistical physics approach. Acta Physica Polonica A, 117 (4). DOI: 10.12693/APhysPolA.117.615.
]Open DOISearch in Google Scholar
[
Jędrzejczak, A., Trzcińska, K. (2018). Application of the Zenga distribution to the analysis of household income in Poland by socio-economic group. Statistica & Applicazioni, 16 (2), 123–140. DOI: 10.26350/999999_000015.
]Open DOISearch in Google Scholar
[
Kakwani N.C. (1980). Income Inequality and Poverty: Methods of Estimation and Policy Applications. New York–Oxford–London: Oxford University Press.
]Search in Google Scholar
[
Kleiber, C., Kotz, S. (2003). Statistical Size Distributions in Economics and Actuarial Sciences. Hoboken: Wiley. DOI: 10.1002/0471457175.
]Open DOISearch in Google Scholar
[
Kordos, J., Stroińska, Z. (1971). Statystyczne metody analizy rozkładu płac i dochodów ludności. Z prac Zakładu Badań Statystyczno-Ekonomicznych, Zeszyt 62, Warszawa.
]Search in Google Scholar
[
Lorenz, M.O. (1905). Methods of Measuring the Concentration of Wealth. Publications of the American Statistical Association, 9, 209–219.10.2307/2276207
]Search in Google Scholar
[
Łukasiewicz, P., Karpio, K., Orłowski, A. (2012). The Models of Personal Incomes in USA. Acta Physica Polonica A, 121. DOI: 10.12693/APhysPolA.121.B-82.
]Open DOISearch in Google Scholar
[
Łukasiewicz, P. Orłowski, A. (2004). Probabilistic Models of Income Distributions. Physica A, 344, 146–151. DOI: 10.1016/j.physa.2004.06.106.
]Open DOISearch in Google Scholar
[
Mielke, P.W. (1973). Another family of distributions for describing and analyzing precipitation data. Journal of Applied Meteorology, 12, 275–280.10.1175/1520-0450(1973)012<0275:AFODFD>2.0.CO;2
]Search in Google Scholar
[
Pacáková, V., Sipková, Ľ., Sodomová, E. (2004) Statistics modelling of household’s incomes in the Slovak Republic. Journal of Economics, 53, 427–439.
]Search in Google Scholar
[
Pacáková, V., Sipková, L’. (2007). Generalized Lambda Distributions of Household Incomes, “E + M”. Ekonomie a Management: vĕdecky ekonomický časopis, 10 (1), Technická Univerzita v Liberci.
]Search in Google Scholar
[
Porro, F. (2015). Zenga Distribution and Inequality Ordering. Communications in Statistics, Theory and Methods, 44 (18), 3967–3977. DOI: 10.1080/03610926.2013.819921.
]Open DOISearch in Google Scholar
[
Salamaga, M. (2016). Badanie wpływu metody estymacji teoretycznych modeli rozkładu dochodów na jakość aproksymacji rozkładu dochodów mieszkańców Krakowa. Zeszyty Naukowe. Uniwersytet Ekonomiczny w Krakowie, 3 (951), 63–79. DOI: 10.15678/ZNUEK.2016.0951.0305.
]Open DOISearch in Google Scholar
[
Sen, A.K. (1973). On Ignorance and Equal Distribution, American Economic Review, 63 (5).
]Search in Google Scholar
[
Sipková, E. (2005). Modelovanie príjmov domácnosti zovšeobecneným lambda rozdelenim. Ekonomika a informatika, 1, Bratislava.
]Search in Google Scholar
[
Sodomová, E., Sipková, E., Pacák, B. (2005). Models of Households’ Income in the Slovak Republic. 11th Ukrainian-Polish-Slovak Scientific Conference Statistics in Management of Social and Economic Development, Kiev National University of Economics, Kiev, October 20–22, Ukraine, proceedings, KHEY, Kiev.
]Search in Google Scholar
[
Sipkova, L., Sipko, J. (2012). Analysis of income inequality of employees in the Slovak Republic. The 6th International Days of Statistics and Economics, Prague, September 13–15.
]Search in Google Scholar
[
Sipkova, L., Sodomova, E. (2009). Income Distribution Model in the Slovak Republic Using the Household SILC Data. Studia i Prace Uniwersytetu Ekonomicznego w Krakowie, 2, 241–256.
]Search in Google Scholar
[
Spasova, T. (2019). Regional Income Distribution in the European Union: A Parametric Approach. In: K. Decancq, P.V. Kerm (eds.), What Drives Inequality? (Research on Economic Inequality, Vol. 27), Emerald Publishing Limited, Bingley (pp. 1–18). DOI: 10.1108/S1049-258520190000027002.
]Open DOISearch in Google Scholar
[
Tartaľová, A. (2012). Modelling income distribution in Slovakia. The 6th International Days of Statistics and Economics, Prague, September 13–15.
]Search in Google Scholar
[
Terek, M. (2017). Regional incomes structure analysis in Slovak Republic on the basis of EUSILC Data. Scientific Annals of Economics and Business, 64 (2), 171–185.10.1515/saeb-2017-0011
]Search in Google Scholar
[
Trzcińska, K. (2019). Approximation of distribution of Poland’s population’s income according to Dagum and Zenga models. Przegląd Statystyczny, 66, 270–286. DOI: 10.5604/01.3001.0014.0952.
]Open DOISearch in Google Scholar
[
Trzcińska, K. (2020). Analysis of household income in Poland based on the Zenga distribution and selected income inequality measure. Folia Oeconomica Stetinensia, 20 (1), 421–436.10.2478/foli-2020-0025
]Search in Google Scholar
[
Trzcińska, K. (2022). Income and Inequality Measures in Households in the Czech Republic and Poland based on Zenga Distribution. Statistika, 102 (1) 46–58. DOI: 10.54694/stat.2021.12.
]Open DOISearch in Google Scholar
[
Vielrose, E. (1960). Rozkład dochodów według wielkości. Warszawa.
]Search in Google Scholar
[
Wałęga, A., Wałęga, G. (2021). Self-employment and over-indebtedness in Poland: Modelling income and debt repayments distribution. Entrepreneurial Business and Economics Review, 9 (4), 51–65. DOI: 10.15678/EBER.2021.090404.
]Open DOISearch in Google Scholar
[
Walter, J. (1962). Lognormal Distribution and its Application in the Analysis of Households Stratified by Income. The Standard of Living, Budapest.
]Search in Google Scholar
[
Zenga, M.M. (2010). Mixture of Polisicchio’s Truncated Pareto Distributions with Beta Weights. Statistica & Applicazioni, 8 (1), 3–25.
]Search in Google Scholar
[
Zenga, M.M., Pasquazzi, L, Polisicchio, M., Zenga Ma. (2010). More on M.M. Zenga’s New Three-Parameter Distribution for Non-Negative Variables. Statistica & Applicazioni, 9 (1), 5–33.
]Search in Google Scholar
[
Zenga, M.M., Pasquazzi, L., Zenga, Ma. (2012). First Applications of a New Three Parameter Distribution for Non-Negative Variables. Statistica&Applicazioni, 10 (2), 131–149.
]Search in Google Scholar
| 18. Juni 2022