Japanese  English
Welcome to Masato
Okamotofs Personal Web Site
I
am a Statistical Survey Researcher of the Statistics Bureau of Japan
email:
PFC02714@nifty.com
[Research
Interest]

Methodology for measurement and analysis
of economic inequality

Statistical survey methods
[Publications]
∎ Peer Review
Journal
Okamoto, M. (2013).
Interpolating
the Lorentz Curve: Methods to Preserve Shape and Remain Consistent with the
Concentration Curves for Components, Review of Income and Wealth. (online version)
Okamoto, M.
(2012). Evaluation of
the Goodness of Fit of New Statistical Size Distributions with Consideration of
Accurate Income Inequality Estimation, Economics Bulletin, 32, 2969–2982.
Erratum to
gEvaluation of the Goodness of Fit of New Statistical Size Distributions with
Consideration of Accurate Income Inequality Estimationh, Economics Bulletin, 33, 2443–2444.
Okamoto, M.
(2011). Source
Decomposition of Changes in Income Inequality: the Integralbased Approach and
its Approximation by the Chained Shapleyvalue Approach, Journal of Economic Inequality, 9, 145–181.
Okamoto, M.
(2009). Decomposition of
Gini and Multivariate Gini Indices, Journal of Economic Inequality, 7, 153–177.
∎ Working Paper
Okamoto, M.
(2013). Extension of the kgeneralized
distribution: new fourparameter models for the size distribution of income and
consumption, LIS Working Paper Series, 600.
Okamoto, M.
(2012). Comparison in Goodness of Fit between the DoublePareto Lognormal
Distribution and the Generalized Beta Distribution of the Second Kind
(preliminary version, revised on May 28, 2013), mimeo. (under revision)
Okamoto, M.
(2012). The Relationship between the
Equivalence Scale and the Inequality Index and its Impact on the Measurement of
Income Inequality, LIS Working Paper Series, 575.
∎ Meeting Paper
Okamoto,
M. (2001). Midpointyear
Basket Index as a Practical Approximation to Superlative Index, Ottawa
Group Sixth Meeting, Canberra, 2001.