Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Duangkamon Chotikapanich"'
Autor:
Duangkamon Chotikapanich, William E. Griffiths, Gholamreza Hajargasht, Wasana Karunarathne, D. S. Prasada Rao
Publikováno v:
Econometrics, Vol 6, Iss 2, p 21 (2018)
To use the generalized beta distribution of the second kind (GB2) for the analysis of income and other positively skewed distributions, knowledge of estimation methods and the ability to compute quantities of interest from the estimated parameters ar
Externí odkaz:
https://doaj.org/article/b6a7772e91be4a38bab260f27cefbe78
Publikováno v:
Statistics, Politics and Policy. 13:57-72
Data from the Household Income and Labour Dynamics in Australia Survey is used to estimate distributions for the level of educational attainment for Australian indigenous and nonindigenous populations for the years 2001, 2006, 2014 and 2017. Bayesian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::994a20e32f35db76a431b5f2e03b8f14
https://doi.org/10.1515/spp-2021-0026
https://doi.org/10.1515/spp-2021-0026
Publikováno v:
Research Handbook on Measuring Poverty and Deprivation ISBN: 9781800883451
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7361b782b64e2f4634a935f1a854453
https://doi.org/10.4337/9781800883451.00084
https://doi.org/10.4337/9781800883451.00084
Publikováno v:
Australian Economic Papers. 61:280-290
Formulas are derived for the Gini, Theil and Pietra coefficients for a population-weighted mixture of double Pareto-lognormal distributions; they are applied to South America for two years. Results are also provided for the special case Pareto-lognor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::625eeb6d7827c77ec69cffc79c54956d
https://doi.org/10.1111/1467-8454.12247
https://doi.org/10.1111/1467-8454.12247
Publikováno v:
Canadian Journal of Economics/Revue canadienne d'économique. 53:767-799
We introduce a Bayesian approach for assessing Lorenz and stochastic dominance. For two income distributions, say X and Y, estimated via Markov chain Monte Carlo, we describe how to compute posterior probabilities for: (i) X dominates Y, (ii) Y domin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c862c36658cf4168df83e98bf568e6e4
https://doi.org/10.1111/caje.12443
https://doi.org/10.1111/caje.12443
Publikováno v:
Australian & New Zealand Journal of Statistics. 62:71-94
Data from large surveys are often supplemented with sampling weights that are designed to reflect unequal probabilities of response and selection inherent in complex survey sampling methods. We propose two methods for Bayesian estimation of parametri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00132fe57643aa1d899ad35cc7e2d1f3
https://doi.org/10.1111/anzs.12284
https://doi.org/10.1111/anzs.12284
Publikováno v:
Advances in Economic Measurement ISBN: 9789811920226
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c8598081c5b2100ea3466b56b97b335
https://doi.org/10.1007/978-981-19-2023-3_5
https://doi.org/10.1007/978-981-19-2023-3_5
Using Household, Income and Labour Dynamics in Australia (HILDA) data for 2001, 2006, 2010, 2014 and 2017, we compute posterior probabilities for dominance for all pairwise comparisons of income distributions in these years. The dominance criteria co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c90f001a720b1b40e2aadf898871106
http://arxiv.org/abs/2005.04870
http://arxiv.org/abs/2005.04870
Publikováno v:
Economics Letters. 162:76-80
We show how to use Bayesian inference to compare two ordinal categorical distributions commonly occurring with data on self-reported health status. Procedures for computing probabilities for first and second order stochastic dominance and S-dominance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f1a690d1742720ffe9309aac72631c9
https://doi.org/10.1016/j.econlet.2017.11.005
https://doi.org/10.1016/j.econlet.2017.11.005
The purpose of this book is to honour D.S. Prasada Rao and his many outstanding contributions to economic measurement, including index number methods for international comparisons of prices, real incomes, output, and productivity; stochastic approach