Principal: Publications

Publications

Peer-reviewed demand-systems research, published consultancy briefs, and the open-source code repositories that back both.

The publication record is built around three commitments. First, every quantitative result ships with a replication package: code, data manifests, parameter restrictions, and the exact estimation routine, so a skeptical reader can rerun the analysis and land on the same numbers. Second, every input is sourced from primary data: BACI, UN Comtrade, FAOSTAT, IMF, World Bank, BLS, EIA, MLPerf, and equivalent. Synthetic and second-hand series are flagged explicitly when used for sensitivity work. Third, methods are matched to the question rather than to fashion. A Rotterdam or EASI demand system gets full restriction batteries (adding up, homogeneity, symmetry) and dual estimation for standard error recovery on the dropped equation. A hedonic specification gets a Heckman selection correction when zero-flow pairs are non-trivial. The same discipline that goes into a journal submission goes into a client brief.

Peer-reviewed and working papers

Recent

International wine demand: Rotterdam model with cross-lag ISURE and dual estimation

Working paper, submission in progress

Non-linear SUR estimation with the full restriction battery (adding up, homogeneity, symmetry), cross-equation lag structure, and dual estimation of the numeraire equation for standard error recovery. Produces a replication-quality elasticity matrix matched to the published reference do-file within 0.5 percent across 42 parameters.

Recent

Hedonic price analysis of Vietnamese wood exports

Working paper, submission in progress

Log-linear hedonic specification with destination, species, and grade fixed effects on an HS8 panel, Heckman correction for zero-flow pairs, and a quality-ladder decomposition. Identifies a 12 percent FSC-certified premium captured on shipments routed via Rotterdam that is invisible in headline unit-value statistics.

Recent

EASI demand system estimation for food consumption

Working paper, submission in progress

Exact Affine Stone Index demand system on household food expenditure data, with rank-three Engel curves and full integrability restrictions imposed at estimation rather than tested ex post.

Recent

Beef demand systems estimation

Working paper, submission in progress

Comparative estimation of Rotterdam and AIDS specifications on beef cuts, with bootstrapped elasticity confidence intervals and a structural-break diagnostic across BSE-era and post-BSE subsamples.

Consultancy briefs

2026

The CHIPS Act and the Taiwan share that went up, not down

Deluair Consultancy briefs

13 minute read. BACI V202601 panel analysis of US HS 8541 and HS 8542 imports 2018 to 2024, separating AI demand signal from reshoring signal and identifying the equipment-import and Malaysia-share signatures already visible in the data.

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2026

The 3.2x compute curve: what GB200 actually changes about training ROI

Deluair Consultancy briefs

12 minute read. MLPerf Training and EIA grounded effective FLOPs per dollar comparison across A100, H100, H200, B200, and GB200 NVL72, with a workload-specific break-even utilization framework for capex decisions.

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Code and platforms

EconAI causal inference toolkit

https://github.com/deluair/econai

12 estimators (OLS, IV, Panel FE, DiD, Staggered DiD, Synthetic DiD, RDD, Double ML, Causal Forest, Shift-Share, Manski and Rambachan-Roth bounds, randomization inference) across 47 modules. Used in the published demand systems work and in policy-impact engagements.

TradeWeave trade intelligence

https://github.com/deluair/tradeweave

30-year BACI engine across 238 countries and 5,022 HS6 product lines, with gravity models, Hausmann-Hidalgo product-space diagnostics, RCA and ECI/PCI scoring, and named-scenario counterfactual modeling.

Aegis applied economics platform

https://github.com/deluair/aegis

18 analytical layers across 257 modules, covering data ingestion, harmonization, estimation, narrative generation, and dashboarding for applied economics work.