Unbundled Corruption Index (UCI)

Term

Unbundled Corruption Index (UCI)

Idea level

Measure

Definition

Unbundled Corruption Index (UCI), created by Yuen Yuen Ang (2020), is a cross-national measure of four types of corruption—petty theft, grand theft, speed money, and access money—based on Ang’s Unbundling Corruption typology.

Instead of reducing corruption to one score like the Corruption Perceptions Index (CPI), UCI measures both the quantity and quality (composition) of corruption across countries.

Based on an expert perception survey, UCI uses the method of stylized vignettes to improve measurement validity, capture elusive forms of access money, and reveal patterns that bundled indices such as the CPI obscure—especially legalized access money in wealthy countries.

Sources

Canonical sources:

  • Ang, Y.Y. (2020). China’s Gilded Age, Chapter 2: “Unbundling Corruption Across Countries.”

  • Ang, Y.Y. (2020). “Unbundling Corruption: Revisiting Six Questions on Corruption.” Global Perspectives. https://doi.org/10.1525/gp.2020.12036. | [Open]

Public communication:

  • Ang, Y.Y. (2021). “Is the U.S. Really Less Corrupt Than China?” Interview by Stephen Dubner. Freakonomics.

Genealogy

[Paradigm] Industrial–Colonial Paradigm
→ [Pillar] Mechanical thinking: corruption measured as a one-dimensional problem
→ [Pillar] Western-centric thinking: legalized and institutionalized corruption in wealthy states falls off the radar
→ [Measurement] Corruption Perceptions Index (CPI): bundled score that ranks countries by aggregate perceived corruption
→ [Critique] Bundled measures obscure qualitative differences and under-capture rich-country corruption

Contrast with

[Paradigm] AIM (Adaptive, Inclusive, Moral Political Economy)
→ [Pillar] Adaptive: disaggregates corruption by type
→ [Pillar] Inclusive: compares corruption across rich and poor countries using the same typology
→ [Pillar] Moral: counters first-world bias and makes legalized elite exchanges visible through metrics
→ [Typology] Unbundling Corruption
→ [Measurement] Unbundled Corruption Index (UCI)
→ [Method] Expert perception-based survey across 15 countries
→ [Method] Stylized vignettes to improve validity and coder consistency

Quotes

[UCI as measurement innovation]

The structure of a country’s corruption – what types dominate and to what degree – may have a larger effect on economic and social outcomes than aggregate levels of corruption. To capture this qualitative variance, we need a different measurement strategy.

To the best of my knowledge, this study presents the first indicator of qualitatively distinct typologies of corruption across countries – what I call the Unbundled Corruption Index (UCI). The UCI is based on an original survey of country experts that measures the perceived prevalence of the four categories of corruption identified in my framework: access money, speed money, grand theft, and petty theft.

— Ang, China’s Gilded Age, Chapter 2, pp. 27–28.

[Method: stylized vignettes]

To improve measurement validity, my survey asks respondents to evaluate corruption using stylized vignettes, designed to be concrete and yet generic enough to represent a class of similar corrupt activities…My vignette-focused survey is designed to overcome cultural and other biases regarding what constitutes corruption, a perennial challenge in measuring corruption… Note that my survey questions do not ask respondents to judge or determine whether a particular scenario is corrupt; I simply ask them to rate how commonly it occurs. Using vignettes ensures that respondents are rating the same scenarios. In this way, my measurement strategy improves coder consistency.

— Ang, China’s Gilded Age, Chapter 2, pp. 29–31.

[What UCI adds and reveals]

One key advantage of UCI is that it simultaneously visualizes the quantity of corruption (in each of the four categories and in total) and its quality (which type of corruption dominates). This approach reveals significant patterns that conventional bundled scores obscure.

— Ang, “Unbundling Corruption: Revisiting Six Questions on Corruption,” Global Perspectives, pp. 4–5.

[Comparison with CPI]

In short, existing surveys and bundled scores not only fail to distinguish among different varieties of corruption, they also tend to undercount corruption among rich countries and overcount corruption in poor countries.

— Ang, “Unbundling Corruption: Revisiting Six Questions on Corruption,” Global Perspectives, p. 5.

Concept Constellation

Across Ang’s work, the Unbundled Corruption Index (UCI) consistently co-appears with the following concepts and analytic themes:

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