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Welcome to Masato Okamotofs Personal Web Site
- Methodology for measurement and analysis of economic inequality
- Statistical survey methods
∎ Peer Review Journal
Okamoto, M. (2014). A Flexible Descriptive Model for the Size Distribution of Incomes, Economics Bulletin, 34, 1600–1610.
Okamoto, M. (2014). Interpolating the Lorenz Curve: Methods to Preserve Shape and Remain Consistent with the Concentration Curves for Components, Review of Income and Wealth, 60, 349–384.
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.
Okamoto, M. (2011). Source Decomposition of Changes in Income Inequality: the Integral-based Approach and its Approximation by the Chained Shapley-value 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. (2016). Mincer earnings regression in the form of the double Pareto-lognormal model, ECINEQ Working Paper Series, 407.
Okamoto, M. (2013). Extension of the k-generalized distribution: new four-parameter models for the size distribution of income and consumption, LIS Working Paper Series, 600.
Okamoto, M. (2012). Comparison in Goodness of Fit between the Double-Pareto 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). Midpoint-year Basket Index as a Practical Approximation to Superlative Index, Ottawa Group Sixth Meeting, Canberra, 2001.