Using Austria’s regulator-mandated address registry for crypto-asset service providers (CASPs), this study reconstructs on-chain activity across BTC, ETH, USDT, and USDC through May 2025 for 12 registered Austrian CASPs, capturing 11.98 million transfers totaling \$50.4 billion. External activity totals roughly \$30 billion, with domestic inter-CASP flows being negligible and 41.1% of volume arising from within-entity bookkeeping. External counterparties are highly concentrated (0.77% of transfers generate 57.8% of external volume). Retail-like and institutionally mediated flows diverge in response to Terra-Luna, FTX, and SVB shocks, and stablecoins do not provide a uniform safe haven; SVB, in particular, reveals asymmetric USDC redemption dynamics favoring institutions. This registry-based approach offers a reproducible framework to monitor cryptoasset risk transmission across jurisdictions [page::0].
This paper evaluates Medicaid doula coverage mandates using a staggered rollout across 32.1 million births and a newly assembled doula-workforce measure; identification rests on policy timing rather than individual take-up [page::1]. The average effect on low birth weight (LBW) is precisely zero, but benefits concentrate among the highest-risk group—Black mothers—where LBW falls by about 0.52 percentage points (roughly 5% of baseline) in states with the longest exposure, with pre-trends flat and effects growing with exposure [page::1]. The mechanism operates through a sizable expansion of the doula workforce (first stage), and a two-stage least squares estimate links increased supply to lower Black LBW, albeit with imprecision due to limited post-period observations [page::1]. Given most adoptions occurred in 2024–2025, the results are credible early evidence rather than a definitive causal claim; replication with more post-period data will be crucial [page::1].
The study analyzes the cascading effects of the COVID-19 pandemic on key aspects of a barangay (mobility, accessibility of public services, economic/financial health, food security, educational engagement, and physical health) using data from 2,122 Filipino households (World Bank COVID-19 Household Survey, May–June 2021). A Bayesian network was constructed and extended into an influence diagram to identify optimal interventions for improving community outcomes. The findings indicate that interventions targeting food production, market price stability, and expanded income opportunities are most effective at improving community outcomes, highlighting the crucial role of economic and food-security measures in mitigating pandemic impacts and guiding recovery efforts [page::1].
