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

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 poo...

Description complète

Détails bibliographiques
Auteur principal: Hlatshwayo, Sandile
Autres auteurs: Corvino, David, Ghazanchyan, Manuk, Oeking, Anne
Format: Revue
Langue:English
Publié: Washington, D.C. : International Monetary Fund, 2018.
Collection:IMF Working Papers; Working Paper ; No. 2018/195
Sujets:
Accès en ligne:Full text available on IMF
LEADER 03082cas a2200349 a 4500
001 AALejournalIMF018715
008 230101c9999 xx r poo 0 0eng d
020 |c 5.00 USD 
020 |z 9781484373095 
022 |a 1018-5941 
040 |a BD-DhAAL  |c BD-DhAAL 
100 1 |a Hlatshwayo, Sandile. 
245 1 4 |a The Measurement and Macro-Relevance of Corruption :   |b A Big Data Approach /  |c Sandile Hlatshwayo, Anne Oeking, Manuk Ghazanchyan, David Corvino. 
264 1 |a Washington, D.C. :  |b International Monetary Fund,  |c 2018. 
300 |a 1 online resource (72 pages) 
490 1 |a IMF Working Papers 
500 |a <strong>Off-Campus Access:</strong> No User ID or Password Required 
500 |a <strong>On-Campus Access:</strong> No User ID or Password Required 
506 |a Electronic access restricted to authorized BRAC University faculty, staff and students 
520 3 |a 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. 
538 |a Mode of access: Internet 
650 7 |a Anti-Corruption Effort  |2 imf 
650 7 |a Corruption  |2 imf 
650 7 |a NIC Country  |2 imf 
650 7 |a NIC Shock  |2 imf 
650 7 |a WP  |2 imf 
651 7 |a Indonesia  |2 imf 
700 1 |a Corvino, David. 
700 1 |a Ghazanchyan, Manuk. 
700 1 |a Oeking, Anne. 
830 0 |a IMF Working Papers; Working Paper ;  |v No. 2018/195 
856 4 0 |z Full text available on IMF  |u http://elibrary.imf.org/view/journals/001/2018/195/001.2018.issue-195-en.xml  |z IMF e-Library