30 AI Reviewers
The Sharpest Minds

Get constructive feedback shaped by the Research Taste, Expertise, and Literature Knowledge of Daron Acemoglu, Matthew Gentzkow, John List...

Upload your working paper and receive detailed referee reports from AI agents specializing in Parsimony. Each reviewer brings a distinct methodological lens to your work.

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How it works

Four steps to expert feedback on your research.

Upload your paper

Upload your working paper in PDF, Word, or LaTeX format. We extract the content and identify the topic area.

Choose your reviewers

Select from our pool of AI referee agents, each modeled after a leading economist with distinct expertise and review style.

Get detailed reports

Receive separate referee reports with scores, strengths, comments, and recommendations — just like a real journal review.

Compare & Improve

Compare reports side-by-side, identify consensus, and track how your paper improves with each revision.

Meet the reviewers

Each AI referee brings a unique perspective to evaluating your work — 30 and growing.

Network Theory Referee

GoyalAI

Distills the domain expertise, research style, and academic judgements of Sanjeev Goyal.

Insight over technique, parsimony, and complete characterization.

network theoryapplied micro theorystrategy

Behavioral Experiment Referee

GneezyAI

Distills the domain expertise, research style, and academic judgements of Uri Gneezy.

Practical insight, clear storytelling, and sharp incentive logic.

field experimentsbehavioral economicsincentives

Network Applied Micro Referee

ZenouAI

Distills the domain expertise, research style, and academic judgements of Yves Zenou.

Formal discipline, explicit mechanisms, and model-driven empirics.

network empiricslaborurbancrime

Epistemic Game Theory Referee

BattigalliAI

Distills the domain expertise, research style, and academic judgements of Pierpaolo Battigalli.

Conceptual clarity first, rigorous epistemic foundations second.

game theorybeliefsambiguitypsychological games

Behavioral Theory Referee

DufwenbergAI

Distills the domain expertise, research style, and academic judgements of Martin Dufwenberg.

Take motivations seriously and connect theory to actual behavior.

behavioral theorypsychology in economicstheory+experiment

Mechanism Design Referee

MilgromAI

Distills the domain expertise, research style, and academic judgements of Paul Milgrom.

Generality, rigor, and practical relevance in institutional design.

mechanism designauctionsindustrial organization

Institutions & Political Economy Referee

AcemogluAI

Distills the domain expertise, research style, and academic judgements of Daron Acemoglu.

Causal identification, broad mechanisms, and societal implications.

institutionspolitical economyautomationdevelopment economicsapplied theory

Empirical Opportunity & Mobility Referee

ChettyAI

Distills the domain expertise, research style, and academic judgements of Raj Chetty.

Administrative data, causal credibility, magnitudes over significance.

economic mobilityinequalityeducation economicshealth economicssocial policy

Natural Field Experiment Referee

ListAI

Distills the domain expertise, research style, and academic judgements of John List.

Real-world tests over lab proxies; does the mechanism survive outside the lab?

natural field experimentscharitable givingdiscriminationenvironmental economicsmarket design

Development RCT Referee

DufloAI

Distills the domain expertise, research style, and academic judgements of Esther Duflo.

Rigorous randomization, honest mechanisms, and policy relevance at scale.

randomized controlled trialsdevelopment economicspoverty alleviationeducationhealth in developing countries

Historical Development Referee

DellAI

Distills the domain expertise, research style, and academic judgements of Melissa Dell.

Credible causal identification and genuine intellectual contribution are inseparable — a paper must teach us something new about how economies and institutions actually work.

persistence of colonial institutionsspatial regression discontinuity designsclimate and economic growtheconomic history with archival dataML/NLP methods for economists

Market Design & School Choice Referee

PathakAI

Distills the domain expertise, research style, and academic judgements of Parag Pathak.

Mechanism design must be grounded in institutional reality and judged by participant welfare, not just theoretical elegance.

school choice and matching marketsmechanism design with real-world constraintsdeferred acceptance and stable matchingeducation policy and accesslarge-scale empirical evaluation of market mechanisms

Rational Expectations Macro Referee

SargentAI

Distills the domain expertise, research style, and academic judgements of Thomas Sargent.

Precision, disciplined expectations, historical accountability, and quantitative honesty.

rational expectations macroeconomicsdynamic programming and recursive methodsfiscal-monetary policy interactionmodel uncertainty and robust controlinflation dynamics and government debt

Macro Growth & Institutions Referee

BarroAI

Distills the domain expertise, research style, and academic judgements of Robert Barro.

Rigorous empirics, quantitative discipline, and skepticism toward demand-side explanations without supply-side foundations.

economic growth and convergencefiscal policy and government spendinginflation and monetary policypolitical economy and institutionsreligion, culture, and economic outcomes

Monetary Theory & Optimal Policy Referee

WoodfordAI

Distills the domain expertise, research style, and academic judgements of Michael Woodford.

Rigorous microfoundations, explicit welfare criteria, and disciplined equilibrium selection are the non-negotiable foundation of monetary policy analysis.

optimal monetary policy and interest-rate rulesprice-level determinacy and equilibrium selectionfiscal theory of the price levelzero lower bound and forward guidancerational inattention and cognitive imprecision

Empirical Macro Referee

NakamuraAI

Distills the domain expertise, research style, and academic judgements of Emi Nakamura.

Causal identification over calibration — macroeconomic questions demand credible empirical variation.

empirical macroeconomicsmonetary policy identificationprice rigidity and inflationfiscal multipliersmacro-micro bridging

Education & Racial Inequality Referee

FryerAI

Distills the domain expertise, research style, and academic judgements of Roland Fryer.

Rigorous causal identification, credible interventions, and honest reckoning with racial gaps in outcomes.

education RCTs and school reform experimentsracial achievement gap and inequalityteacher and student incentive designcharter school effectivenesssocial interactions and peer effects

Health Economics & Public Finance Referee

FinkelsteinAI

Distills the domain expertise, research style, and academic judgements of Amy Finkelstein.

Credible causal identification, magnitudes over significance, and welfare analysis as the destination.

health insurance effects and Medicaid/Medicare evaluationinsurance market adverse selection and moral hazardgeographic variation in health care spendingwelfare valuation of public insurance programshealth care utilization and hospital spending

Econometrics & Identification Referee

AndrewsAI

Distills the domain expertise, research style, and academic judgements of Isaiah Andrews.

Uniform validity, estimand transparency, and honest reckoning with identification are non-negotiable.

instrumental variables and weak instrumentsGMM and model misspecificationidentification-robust inferencesensitivity analysis and publication biasempirical econometric methodology

Trade & Spatial Economics Referee

DonaldsonAI

Distills the domain expertise, research style, and academic judgements of Dave Donaldson.

Welfare gains from trade must be measured, not assumed — identification and quantification are inseparable.

international trade costs and gains from tradetransportation infrastructure and railroad welfare evaluationquantitative spatial economics and trade modelsnonparametric trade and sufficient statisticstrade and agriculture with comparative advantage

Continuous-Time Theory & Macro-Finance Referee

SannikovAI

Distills the domain expertise, research style, and academic judgements of Yuliy Sannikov.

Continuous-time methods are not decoration — they must sharpen economic insight, prove results classical methods cannot, and discipline macro-financial models with genuine microeconomic foundations.

continuous-time principal-agent and contract theorydynamic games with imperfect monitoring and repeated gamesmacro-finance with financial frictions and intermediary constraintssecurity design and dynamic capital structurereputation, collusion, and incentives in dynamic settings

Information Design & Mechanism Theory Referee

StrackAI

Distills the domain expertise, research style, and academic judgements of Philipp Strack.

Mathematical precision reveals economic insight — results must be sharp, mechanisms must be exact, and every distributional claim must survive formal scrutiny.

information design and Bayesian persuasionmajorization and optimal transport in economicsdynamic mechanism design and optimal stoppingrational inattention and speed-accuracy tradeoffscontest design and competition effects

International Macro & Trade Referee

ItskhokiAI

Distills the domain expertise, research style, and academic judgements of Oleg Itskhoki.

Tight theoretical discipline, sharp empirical identification, and honest engagement with exchange-rate puzzles.

exchange rate determination and puzzlesinternational macroeconomicstrade and inequalityopen-economy optimal policycurrency invoicing and pass-through

Platform Economics & Causal ML Referee

AtheyAI

Distills the domain expertise, research style, and academic judgements of Susan C. Athey.

Economics must be useful — rigorous methods paired with practical relevance and honest causal identification.

auction theory and empirical auction analysisplatform economics and two-sided marketsmachine learning methods for causal inferencepolicy learning and treatment rulesmarket design with policy constraints

Applied Micro & IO Referee

LevinAI

Distills the domain expertise, research style, and academic judgements of Jonathan Levin.

Theory and empirics must genuinely dialogue; identification must be credible, not just claimed; welfare claims must follow from the analysis.

industrial organizationcontract theory and information economicsmarket design and platform economicsinternet economics and digital marketshealth insurance and health care markets

Applied Empirics & Media Economics Referee

GentzkowAI

Distills the domain expertise, research style, and academic judgements of Matthew Gentzkow.

The answer to a research question matters more than the elegance of the approach — identification first, magnitude second, transparency always.

media economics and political economy of informationcausal identification in observational datatext-as-data methods and measurement innovationIO and structural estimation transparencydigital technology welfare effects

Public Economics & Optimal Tax Referee

SaezAI

Distills the domain expertise, research style, and academic judgements of Emmanuel Saez.

Distributional consequences are first-order — rigorous optimal-tax theory and credible empirical identification must jointly discipline policy conclusions.

optimal taxation and tax designincome and wealth inequality measurementtax compliance and elasticity of taxable incomewealth and capital taxationsocial insurance and transfer programme design

Public Economics & Social Preferences Referee

StantchevaAI

Distills the domain expertise, research style, and academic judgements of Stefanie Stantcheva.

Optimal policy must connect to estimable sufficient statistics; survey evidence must establish causal reasoning chains, not merely document misperceptions.

optimal taxation and dynamic mechanism designtaxation, inventor mobility, and innovationredistribution preferences and public opinion surveyssocial economics and survey experimentsincome and wealth inequality with distributional welfare analysis

Heterogeneous-Agent Macro Referee

StraubAI

Distills the domain expertise, research style, and academic judgements of Ludwig Straub.

Heterogeneity must change aggregate outcomes, not merely add distributional richness — mechanisms must be analytically transparent before quantitative results are presented.

HANK / heterogeneous-agent macro modelsfiscal multipliers and distributional analysisinequality and secular stagnationmonetary policy transmission with household heterogeneityoptimal capital or income taxation

Public Finance & Inequality Measurement Referee

ZucmanAI

Distills the domain expertise, research style, and academic judgements of Gabriel Zucman.

Measurement is the contribution — every estimate must reconcile with macro aggregates, be cross-validated, and state its magnitude in terms of GDP or tax revenue.

offshore wealth and tax evasion estimationdistributional national accounts and income growthcorporate profit shifting and international tax reformwealth inequality measurement and capitalization methodstax enforcement and compliance with administrative data

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Frequently asked questions

Everything you need to know about RefereeAI.

RefereeAI is designed for economics working papers, journal submissions, and dissertations. It works best with empirical and theoretical economics research, including applied micro, macro, econometrics, and related fields.

Our AI referees model the style and analytical approach of leading economists. While they don't replace human peer review, they provide structured, substantive feedback that mirrors the depth and rigor of top journal referee reports.

Yes. You can select 1 to 3 reviewers from our pool of AI referee agents. Each has a distinct expertise area and review style, so you can tailor the feedback to your paper's methodology and field.

A full review typically takes 20–30 minutes per reviewer, depending on paper length and the number of reviewers selected. Reviewers are processed sequentially, so a 3-reviewer run can take 60–90 minutes. You’ll receive a notification when your reports are ready, and you can view them directly in your dashboard.

Yes. Papers are stored securely with encryption at rest and in transit. We never share your papers with third parties, and you can delete your data at any time from your account settings.

We currently support PDF, Word (.docx), and LaTeX (.tex) files. PDF is recommended for the best extraction quality. We plan to add more formats in the future.

Absolutely. Upload your revised paper and run a new review. You can compare reports across versions to track how your paper improves with each revision.

New accounts receive 5 free credits. Each AI reviewer costs 1 credit per review. Pro subscribers get 15 credits/month, Max subscribers get 45 credits/month. Paid plans also let you nominate new reviewers to be added to the system.

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30 AI ReviewersThe Sharpest Minds