Anne Oeking

Sandile Hlatshwayo

Mr.Manuk Ghazanchyan

David Corvino

Ananya Shukla

Mr.Lamin Y Leigh

Corruption is macro-relevant for many countries, but is often hidden, making measurement of it—and its effects—inherently difficult. Existing indicators suffer from several weaknesses, including a lack of time variation due to the sticky nature of perception-based measures, reliance on a limited pool of experts, and an inability to distinguish between corruption and institutional capacity gaps. This paper attempts to address these limitations by leveraging news media coverage of corruption. We contribute to the literature by constructing the first big data, cross-country news flow indices of corruption (NIC) and anti-corruption (anti-NIC) by running country-specific search algorithms over more than 665 million international news articles. These indices correlate well with existing measures of corruption but offer additional richness in their time-series variation. Drawing on theory from the corporate finance and behavioral economics literature, we also test to what extent news about corruption and anti-corruption efforts affects economic agents’ assessments of corruption and, in turn, economic outcomes. We find that NIC shocks appear to negatively impact both financial (e.g., stock market returns and yield spreads) and real variables (e.g., growth), albeit with some country heterogeneity. On average, NIC shocks lower real per capita GDP growth by 3 percentage points over a two-year period, illustrating persistence in the effect of such shocks. Conversely, there is suggestive evidence that anti-NIC efforts appear to have a sustained positive macro impact only when paired with meaningful institutional strengthening, proxied by capacity development efforts.

The Measurement and Macro-Relevance of Corruption: A Big Data Approach

Mr. Harald Finger

Mr. Pragyan Deb

Kenichiro Kashiwase

Yosuke Kido

Siddharth Kothari

Mr. Evan Papageorgiou

Henry Hoyle

The paper intends to highlight challenges in Asian housing markets linked to fast price rises especially in the advanced economies since COVID, and more broadly including many EMs in the period leading up to COVID. It aims to draw policy lessons on how to manage stability aspects through macroprudential and other policies and how to support affordability through structural policies and targeted government support.

Housing Market Stability and Affordability in Asia-Pacific

Anne Oeking

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