Another Approaches to Modeling the Wage and Income Distribution Based on the Use of Order Statistics

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F04274644%3A_____%2F16%3A%230000115" target="_blank" >RIV/04274644:_____/16:#0000115 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61384399:31140/16:00048300

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Another Approaches to Modeling the Wage and Income Distribution Based on the Use of Order Statistics

Popis výsledku v původním jazyce

Despite not producing good results, the method of moments is commonly applied when constructing the parametric distribution for a data file. An alternative approach is to use the so-called order statistics. The present paper deals with the application of order statistics (parameter estimation methods of L-moments and TL-moments) to the economic data. Theoretical advantages of L-moments over conventional moments become obvious when applied to small data sets, e.g. in hydrology, meteorology and climatology, considering extreme precipitation in particular. The main aim of this paper is to apply the two methods to large data sets, comparing their parametric estimation accuracy with that of the maximum likelihood method. The methods of L-moments and TL-moments are utilized for the construction of income and wage distribution models.

Název v anglickém jazyce

Another Approaches to Modeling the Wage and Income Distribution Based on the Use of Order Statistics

Popis výsledku anglicky

Despite not producing good results, the method of moments is commonly applied when constructing the parametric distribution for a data file. An alternative approach is to use the so-called order statistics. The present paper deals with the application of order statistics (parameter estimation methods of L-moments and TL-moments) to the economic data. Theoretical advantages of L-moments over conventional moments become obvious when applied to small data sets, e.g. in hydrology, meteorology and climatology, considering extreme precipitation in particular. The main aim of this paper is to apply the two methods to large data sets, comparing their parametric estimation accuracy with that of the maximum likelihood method. The methods of L-moments and TL-moments are utilized for the construction of income and wage distribution models.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AH - Ekonomie

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Mathematical and Computer Modelling

ISSN

2051-4271

e-ISSN

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Svazek periodika

Vol.21

Číslo periodika v rámci svazku

Issue.1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

26

Strana od-do

1193-1218

Kód UT WoS článku

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EID výsledku v databázi Scopus

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