Zobrazeno 1 - 10
of 92
pro vyhledávání: '"William E. Griffiths"'
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:
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
Autor:
R. Carter Hill, William E. Griffiths
Publikováno v:
The American Statistician. 76:78-84
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10e68a9a62574037883ae128611364ea
https://doi.org/10.1080/00031305.2021.1979652
https://doi.org/10.1080/00031305.2021.1979652
Publikováno v:
The Journal of Law, Economics, and Organization. 37:607-636
Low-quality patents are of considerable concern to businesses operating in patent-dense markets. There are two pathways by which low-quality patents may be issued: the patent office may apply systematically a standard that is too lenient (low inventi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecd5e572a5ff0914eb021487b70a3f3b
https://doi.org/10.1093/jleo/ewaa026
https://doi.org/10.1093/jleo/ewaa026
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:
Econometric Reviews. 39:344-361
The Lorenz curve, introduced more than 100 years ago, remains as one of the main tools for analysis of inequality. International institutions such as the World Bank collect and publish grou...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5424e3cc84399a0d9cbf42319bfe24bb
https://doi.org/10.1080/07474938.2019.1630077
https://doi.org/10.1080/07474938.2019.1630077
Autor:
William E. Griffiths, R. Carter Hill
Publikováno v:
The American Statistician. 76:312-312
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc847c598bfef28a49e928cc8cd4b526
https://doi.org/10.1080/00031305.2022.2074542
https://doi.org/10.1080/00031305.2022.2074542
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:
Journal of Productivity Analysis. 50:1-24
We show how a wide range of stochastic frontier models can be estimated relatively easily using variational Bayes. We derive approximate posterior distributions and point estimates for parameters and inefficiency effects for (a) time invariant models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da6e299140ebcc386dcab2e05f6d946c
https://doi.org/10.1007/s11123-018-0531-0
https://doi.org/10.1007/s11123-018-0531-0