Application of the L-Moment Method when Modelling the Income Distribution in the Czech Republic

Authors

  • Diana Bílková University of Economics, Prague
  • Ivana Malá University of Economics, Prague

DOI:

https://doi.org/10.17713/ajs.v41i2.180

Abstract

This paper deals with modelling income distributions in the Czech Republic in 1992–2007. The net annual income per capita for Czech households is evaluated from data based on the microcensus and the EU-SILC 2005–2008. For all analysed years the distribution of incomes was estimated in the whole sample as well as in the subgroup of households, whose heads are physicists (or experts in related sciences), architects and engineers. In
the paper the three-parametric lognormal distribution is used as a model. Unknown
parameters are estimated with the use of four methods – those of maximum likelihood, quantiles, moments and L-moments.

References

Bartošová, J. (2009). Analysis and modelling of financial power of Czech households. In 8th International Conference APLIMAT 2009, Bratislava (p. 717-722). Bratislava: Slovak University of Technology.

Bartošová, J., and Bína, V. (2009). Modelling of income distribution of Czech households in years 1996–2005. Acta Oeconomica Pragensia, 17, 3-18.

Bartošová, J., and Forbelská, M. (2011). Differentiation and dynamics of household incomes in the Czech EU-SILC survey in the years 2005–2008. In 10th International Conference APLIMAT 2011, Bratislava (p. 1451-1460). Bratislava: Slovak University of Technology.

Bílková, D. (2008). Application of lognormal curves in modeling of wage distributions. In 7th International Conference APLIMAT 2008 (p. 341-351). Bratislava: Slovak University of Technology.

Bílková, D. (2011). Use of the L-moments method in modeling the wage distribution. In 10th International Conference APLIMAT 2011, Bratislava (p. 1471-1481). Bratislava: Slovak University of Technology.

Bílková, D., and Malá, I. (2010). Development of income distributions of households in the Czech republic since 1992. In Prague Stochastics 2010. Prague: Faculty of Mathematics and Physics of Charles University in Prague. (Poster)

Hosking, J. R. M. (1990). L-moments: Analysis and estimation of distributions using linear combinations of order statistics. Journal of the Royal Statistical Society, Series B, 52, 105-124.

Hosking, J. R. M., and Wales, J. R. (1997). Regional Frequency Analysis: An Approach Based on L-Moments. New York: Cambridge University Press.

Kleiber, C., and Kotz, S. (2003). Statistical Size Distributions in Economics and Actuarial Sciences. New York: Wiley-Interscience.

Sipková, L., and Sodomová, E. (2009). Income distribution model in the Slovak republic used the household SILC data. Uniwersytet Ekonomicznego w Krakowie.

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Published

2016-02-24

How to Cite

Bílková, D., & Malá, I. (2016). Application of the L-Moment Method when Modelling the Income Distribution in the Czech Republic. Austrian Journal of Statistics, 41(2), 125–132. https://doi.org/10.17713/ajs.v41i2.180

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Articles