Alexis Akira Toda
Biographic Data
| ID | 5868053 |
|---|---|
| NAME | Alexis Akira Toda |
| GIVEN NAMES | Alexis Akira |
| FAMILY NAME | Toda |
| SIGNATURE | TODA A A |
| AFFILIATIONS | Royal Holloway University of London |
| ORCID | 0000-0001-5965-7806 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 6 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Pareto’s limits
American income inequality in the twentieth century, often analyzed using tax data, is known to have followed a U-curve. However, discussions about the curve’s peaks and troughs continue, focusing on income definitions and deduction handling. A less explored aspect is the interpolation methods used with tabular data from tax authorities, crucial for estimating the wealthiest centiles’ income from 1917 to 1965. In this paper, we introduce an alter…
Bubble Necessity Theorem
Previous articleNext article No AccessBubble Necessity TheoremTomohiro Hirano and Alexis Akira TodaTomohiro Hirano and Alexis Akira TodaPDFPDF PLUS Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookxLinkedInRedditEmailPrint SectionsMoreDetailsFiguresReferencesCited by Journal of Political Economy Just Accepted Article DOIhttps://doi.org/10.1086/732528 PermissionsRequest permissions Views: 25Total views on this si…
Efficient minimum distance estimation of Pareto exponent from top income shares
We propose an efficient estimation method for the income Pareto exponent when only certain top income shares are observable. Our estimator is based on the asymptotic theory of weighted sums of order statistics and the efficient minimum distance estimator. Simulations show that our estimator has excellent finite‐sample properties. We apply our estimation method to US top income share data and find that the Pareto exponent has been ranging between …
The Double Power Law in Consumption and Implications for Testing Euler Equations
We provide evidence suggesting that the cross-sectional distributions of US consumption and its growth rate obey the power law in both the upper and lower tails, with exponents approximately equal to four. Consequently, high-order moments are unlikely to exist, and the generalized method of moments estimation of Euler equations that employs cross-sectional moments may be inconsistent. Through bootstrap studies, we find that the power law appears …
The Double Power Law in Consumption and Implications for Testing Euler Equations
We provide evidence suggesting that the cross-sectional distributions of US consumption and its growth rate obey the power law in both the upper and lower tails, with exponents approximately equal to four. Consequently, high-order moments are unlikely to exist, and the generalized method of moments estimation of Euler equations that employs cross-sectional moments may be inconsistent. Through bootstrap studies, we find that the power law appears …
Bubble Necessity Theorem
Previous articleNext article No AccessBubble Necessity TheoremTomohiro Hirano and Alexis Akira TodaTomohiro Hirano and Alexis Akira TodaPDFPDF PLUS Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookxLinkedInRedditEmailPrint SectionsMoreDetailsFiguresReferencesCited by Journal of Political Economy Just Accepted Article DOIhttps://doi.org/10.1086/732528 PermissionsRequest permissions Views: 25Total views on this si…
The Double Power Law in Consumption and Implications for Testing Euler Equations
We provide evidence suggesting that the cross-sectional distributions of US consumption and its growth rate obey the power law in both the upper and lower tails, with exponents approximately equal to four. Consequently, high-order moments are unlikely to exist, and the generalized method of moments estimation of Euler equations that employs cross-sectional moments may be inconsistent. Through bootstrap studies, we find that the power law appears …
Efficient minimum distance estimation of Pareto exponent from top income shares
We propose an efficient estimation method for the income Pareto exponent when only certain top income shares are observable. Our estimator is based on the asymptotic theory of weighted sums of order statistics and the efficient minimum distance estimator. Simulations show that our estimator has excellent finite‐sample properties. We apply our estimation method to US top income share data and find that the Pareto exponent has been ranging between …
Bubble Necessity Theorem
Previous articleNext article No AccessBubble Necessity TheoremTomohiro Hirano and Alexis Akira TodaTomohiro Hirano and Alexis Akira TodaPDFPDF PLUS Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookxLinkedInRedditEmailPrint SectionsMoreDetailsFiguresReferencesCited by Journal of Political Economy Just Accepted Article DOIhttps://doi.org/10.1086/732528 PermissionsRequest permissions Views: 25Total views on this si…
Pareto’s limits
American income inequality in the twentieth century, often analyzed using tax data, is known to have followed a U-curve. However, discussions about the curve’s peaks and troughs continue, focusing on income definitions and deduction handling. A less explored aspect is the interpolation methods used with tabular data from tax authorities, crucial for estimating the wealthiest centiles’ income from 1917 to 1965. In this paper, we introduce an alter…
Economic theories and models (3 works) · Economics (3 works) · Mathematics (3 works) · Econometrics (2 works) · Estimation (2 works) · Income, Poverty, and Inequality (2 works) · Inequality (2 works) · Mathematical economics (2 works) · Monetary Policy and Economic Impact (2 works) · Pareto principle (2 works)