arXiv subjects

Hirofumi Wakimoto

Publications and source records attributed to Hirofumi Wakimoto.

3 recordsLinked to original sources

arXiv2026

JFR-rg: A New Macroeconomic Framework for High-Debt, Low-Growth Economies under Financial Repression

Standard macroeconomic frameworks have correctly identified Japan's government debt - now exceeding 240% of GDP - as carrying substantial fiscal risk. Yet FRED data from 2013 to 2026 present an empirical record inviting a complementary perspective: debt ratios have stabilized, nominal GDP has exceeded 670 trillion yen (SAAR), and unemployment has remained near 2.6-2.7%. This paper formalizes these channels through the Japanese Financial Repression r-g (JFR-rg) model. Building on Blanchard (2019), the framework incorporates a financial repression bias (epsilon_t = pi_t - r^n_t, directly observable from FRED) and a non-linear exchange-rate channel. Three theoretical contributions extend the literature: (i) the Debt Sustainability Corridor, a characterization of stability in (epsilon_t, g^n*_t) space; (ii) the Normalization Ratchet, a path-dependence theorem showing that temporary policy errors generate persistently higher debt trajectories; and (iii) the Captive Financial System Parameter (phi_t), which endogenizes the institutional precondition for JFR-rg stability. Appendices H-L provide supporting empirical evidence (VAR, ARDL, Local Projections) showing the framework's claims are empirically disciplined and falsifiable. The core debt-dynamics propositions are anchored in the consolidated government budget identity (Layer L1), while selected propositions additionally rely on minimal structural assumptions; identification concerns apply only to the empirical Layer L2. Counterfactual simulations illustrate a Normalization Trap: aggressive rate hikes can produce counterproductive debt dynamics. For high-debt, low-growth economies sharing Japan's institutional characteristics, strategically deploying the resulting Repression Dividend into productivity-enhancing investment may represent a regime-contingent equilibrium possibility, conditional on the captive system condition being maintained.

econ.EM↗

arXiv2026

JFR-rg Part II: Dynamic Extensions, Time Constraints, and Investment Design in High-Debt, Low-Growth Economies

This paper develops the logical extension of the JFR-rg framework introduced in Part I within the same observables-centered and regime-conditional architecture. Six extensions are formalized: the Virtuous Ratchet (E1), the corrected Repression Dividend Multiplier (E2), the Debt Reduction Paradox (E3), the Multi-Country Repression Equilibrium (E4), the Demographic-$ϕ$ Clock (E5), and the Institutional Control Rights Index (E6). Together, these clarify the dynamic implications of a JFR-rg regime for path dependence, institutional erosion, growth-enhancing investment, and regime transition in high-debt, low-growth economies. The paper's claim of logical completion is architectural rather than universal. It does not claim a full welfare-theoretic or political-economy microfoundation. Rather, it shows that the principal dynamic implications internal to Part I can be stated in closed form, and that two natural excluded generalizations -- bounded stochastic perturbations and endogenous fiscal responses -- preserve the regime logic. A Minimal Equilibrium Closure is then introduced to endogenize the sovereign risk premium through a two-layer domestic demand structure and a complementarity condition. The paper also formulates the statistical problem of inferring a latent regime boundary under one-sided regime dominance. The inferential contribution is conservative by design: it constructs outer statistical summaries of the relevant boundary objects rather than forcing point classification when the observables remain compatible with multiple nearby regime readings. Comparison with Blanchard (2019), Hoshi-Ito (2014), and Mehrotra-Sergeyev (2021) shows where JFR-rg adds explanatory value in the Japanese case: not by replacing standard debt-sustainability analysis, but by endogenizing the institutional conditions under which low sovereign rates are sustained, weakened, or lost.

econ.GN↗

arXiv2025

Ostrom-Weighted Bootstrap: A Theoretically Optimal and Provably Complete Framework for Hierarchical Imputation in Multi-Agent Systems

We study the statistical properties of the \emph{Ostrom-Weighted Bootstrap} (OWB), a hierarchical, variance-aware resampling scheme for imputing missing values and estimating archetypes in multi-agent voting data. At Level~1, under mild linear model assumptions, the \emph{ideal} OWB estimator -- with known persona-level (agent-level) variances -- is shown to be the Gauss--Markov best linear unbiased estimator (BLUE) and to strictly dominate uniform weighting whenever persona variances differ. At Level~2, within a canonical hierarchical normal model, the ideal OWB coincides with the conditional Bayesian posterior mean of the archetype. We then analyze the \emph{feasible} OWB, which replaces unknown variances with hierarchically pooled empirical estimates, and show that it can be interpreted as both a feasible generalized least-squares (FGLS) and an empirical-Bayes shrinkage estimator with asymptotically valid weighted bootstrap confidence intervals under mild regularity conditions. Finally, we establish a Zero-NaN Guarantee: as long as each petal has at least one finite observation, the OWB imputation algorithm produces strictly NaN-free completed data using only explicit, non-uniform bootstrap weights and never resorting to uniform sampling or numerical zero-filling. To our knowledge, OWB is the first resampling-based method that simultaneously achieves exact BLUE optimality, conditional Bayesian posterior mean interpretation, empirical Bayes shrinkage of precision parameters, asymptotic efficiency via FGLS, consistent weighted bootstrap inference, and provable zero-NaN completion under minimal data assumptions.

stat.ME↗