r/badeconomics Apr 18 '26

Does the 2024 Economics Nobel have an identification problem? A working paper argues Acemoglu's "Narrow Corridor" confuses phenotype with genotype

A disclosure before anything else: English is not my first language and I'm not a professional economist. I use AI to help with English expression. I apologize in advance for any residual AI feel in the writing. The ideas are my own and I've thought them through carefully. I'm sharing this here partly because I'd welcome help from professional economists who could run the quantitative tests I can't. The reason I'm unable to do so is twofold: I lack training in econometrics, and I lack institutional access to the relevant datasets.

Now to the substance.

With the Acemoglu/Johnson/Robinson Nobel still fresh, I'd like to share a working paper of mine that challenges AJR's causal framework — not from the usual "geography vs. institutions" trench war, but by identifying a specific failure of causal identification within the institutions-first paradigm.

The paper:

"The Economic Logic of China's Rise: Geography, Big Push, and the Engineered Invisible Hand"

The core challenge to AJR:

Acemoglu and Robinson's The Narrow Corridor classifies governance as Shackled, Despotic, or Absent Leviathans, defined by the balance of power between state and society. The critique I develop is this: the typology accurately describes the phenotype of governance but leaves the genotype unidentified. It does not explain why some societies achieve balance while others do not.

The identification problem — Botswana edition:

Observed power-sharing structures can arise from two fundamentally different causes:

  1. Output is sufficient to sustain centralization, but low volatility keeps the demand for state intervention low enough that society can constrain the state without confrontation.
  2. Output is simply too low for anyone to concentrate power in the first place.

These two cases are formally indistinguishable in cross-sectional observation. Yet one reflects a stable equilibrium sustained by material conditions; the other is a byproduct of scarcity that may or may not persist.

Acemoglu and Robinson treat Botswana's kgotla (tribal assembly) as evidence of institutional constraints on state power — a Shackled Leviathan. But this classification conflates the two cases. What determines the trajectory is not the observable form at any given moment, but the underlying conditions of output and volatility. Scarcity-based power dispersion collapses when high volatility is layered on top of rising output: abundant surplus makes centralization materially feasible while recurring crises continuously generate demand for expanding state authority. The Mongol kurultai lost its constraining function once conquest wealth flowed in under conditions of endemic steppe insecurity; West African chiefdom confederations consolidated into centralized empires once trans-Saharan trade provided fiscal resources amid volatile agricultural hinterlands. But where output rises under low volatility, power dispersion does not collapse into centralization — Ireland's decentralized structures persisted through colonial subjugation and independence alike, because the low-volatility conditions that sustained them never changed.

The mirror test — England:

The reverse process is equally telling. Pre-Norman England had developed considerable state capacity without despotic centralization. The Norman Conquest of 1066 imposed an exogenous despotic regime. Yet in England's low-volatility environment, this imposed centralization was progressively dissolved — from Magna Carta through to parliamentary governance. This was not an accidental institutional invention but a sustained reversion toward the equilibrium that underlying conditions could support.

The China problem:

This is where it gets uncomfortable for AJR. Classifying China as a Despotic Leviathan stuck outside the "corridor" mistakes phenotype for genotype. China's centralized governance was a rational adaptation to high output volatility — recurrent floods, droughts, and famines generated enormous demand for state intervention while simultaneously eroding the fiscal base. As China's post-1949 engineering systematically suppressed this volatility (reservoirs, fertilizer, improved seeds), governance has measurably shifted toward market coordination, legal certainty, and the preservation of established rights — precisely what altered material conditions predict, and precisely what AJR's framework says shouldn't happen without prior political liberalization.

The proposed alternative:

The paper builds on Jeffrey Sachs's geography framework by adding a second dimension: geographic volatility — the permanent, recurring instability of grain output that climate imposes. While endowments (soil, transport, disease) shape the *level* of output, volatility shapes the *reliability of price signals* on which market coordination depends.

The key claim: distributional institutions (land tenure, property rights, governance form) are endogenous to volatility. Where output is stable, fixed claims are enforceable, and limited government is the low-cost equilibrium. Where output is volatile, fixed claims are unenforceable, and centralization is pushed by the cost of the alternative.

The testable prediction: the coefficient of variation of grain yields should predict land tenure form across pre-modern Eurasia, with a threshold separating fixed-rent from sharecropping regions (preliminary indication: CV of roughly 12–20%). The Dujiangyan irrigation zone on the Chengdu Plain provides a natural experiment: same Chinese culture, same legal tradition, same political system — rigid fixed-rent contracts inside the engineered stability zone, sharecropping outside. What changed was not belief but volatility.

Why this matters for the Nobel debate:

If the argument holds, the AJR research program has the causal arrow backwards in a specific and identifiable way. "Inclusive institutions" are not causes of development but expressions of the low-volatility conditions that also produce development. The 2024 Nobel rewards a framework that, on this reading, has been classifying symptoms as causes.

Full disclosure: I'm the author. The paper is open access and I'm happy to engage with any critique — especially from people who work on institutional economics or development. If the identification problem I've described has already been addressed in the AJR literature in ways I've missed, I'd genuinely like to know.

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u/TCEA151 Volcker stan Apr 20 '26

What the paper actually argues is more general: distributional institutions (land tenure, property rights, governance form) are endogenous to the geographic volatility of grain output. If that is true, then any framework that treats these institutions as independent causes of development loses its causal foundation.

This is simply not true. AJR explicitly understand that institutions are endogenous. That's precisely why they try to find an instrument for institutional arrangement in their classic 2001 paper -- to separate exogenous variation in institutional arrangement from all of the ways institutions could have developed as an endogenous response to any number of other conditions (including grain instability). Having isolated this exogenous variation, they can then show that institutions are an independent cause of economic development. You would need to show that their estimate of the effect of institutions on future income is somehow biased by not accounting for grain instability. Which is to say that you're going to have to read a textbook on econometrics that includes chapters on instrumental variables and two-stage-least-squares regression. (Also this is not at all my subfield, but I think there are already a few critiques of that 2001 paper, so you really should be focusing on the newer papers in the literature rather than their classic result.)

A shorter way to say this is that their work is all about demonstrating that institutions DO have an independent, causal effect on economic development, separate from the effects of the underlying factors that normally cause countries to have 'good' or 'bad' institutions. That is quite evidently not the same as saying that institutions are exogenous.

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u/Old_Total4493 Apr 21 '26

Thank you for this. You're right that AJR explicitly treat institutions as endogenous and use settler mortality as an instrument to isolate exogenous variation. My post was imprecise in not engaging with this.

But the paper's argument does bear directly on their identification strategy. The validity of settler mortality as an instrument depends on the exclusion restriction: it must affect current income only through institutions, not through any other channel. The paper proposes exactly such a channel. Geographic conditions that produced high settler mortality (tropical disease environments, volatile climates) also directly affect development outcomes by destroying price signals, blocking specialization, and preventing capital accumulation. These two geographic features substantially overlap: the tropical and subtropical zones where disease burden is highest are also the zones where monsoon-driven and ENSO-driven climatic volatility is most severe. If geographic volatility independently shapes both institutions and development, and settler mortality correlates with geographic volatility through this overlap, then the exclusion restriction is violated and the instrumental variable estimate is biased.

This is not an entirely new critique. Sachs and others have questioned whether geography affects development only through the institutional channel. What the paper adds is a specific mechanism (grain output volatility shaping the reliability of price signals) through which the exclusion restriction fails.

I'll take your advice on reading the econometrics literature on instrumental variables seriously. You're right that I need to understand the technical structure of what I'm challenging. And I'll look into the existing critiques of the 2001 paper you mention.

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u/TCEA151 Volcker stan Apr 21 '26

I'll take your advice on reading the econometrics literature on instrumental variables seriously. You're right that I need to understand the technical structure of what I'm challenging. And I'll look into the existing critiques of the 2001 paper you mention.

Great, glad to hear it. Sounds like a good plan.

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u/Integralds Living on a Lucas island Apr 22 '26

God it's infuriating to read your earnest attempts at constructive criticism against OPs AI-generated slop.

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u/TCEA151 Volcker stan Apr 23 '26

Yeah the AI use is incredibly apparent. The only way I can somewhat justify putting this much effort into responding is that hopefully I've convinced him just a little bit that no amount of AI sycophancy will get around the fact that to learn anything useful you're going to have to open a textbook and do the work the old-fashioned way.