Predicting pharmaceutical prices. Advances based on purchase-level data and machine learning.
Fazekas, Mihály; Veljanov, Zdravko & de Oliveira, Alexandre Borghes
BMC Public Health, 24. 2024
Countries: Brazil
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6.
Global Contract-level Public Procurement Dataset.
Fazekas, Mihály; Bence, Tóth; Abdou, Aly & Ahmed Al-Shaibani
Data in Brief, 54. 2024
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41.
Data Science Meets Political Economy: Applications to Legislative Favouritism around the World.
Benoit, Cyril; Brenner, Dominik & Fazekas, Mihály
In Sarah Giest, Bram Klievink, Alex Ingrams, and Matt Young (eds.): Handbook of Governance and Data Science. Edward Elgar, Cheltenham, UK. Chapter 3. 2025
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72.
The Governance Risk Assessment System (GRAS).
Ortega Nieto, Daniel; Fazekas, Mihály; Vaz Mondo, Bianca; Tóth, Bence; and Braem Velasco, Rafael
Advanced Data Analytics for Detecting Fraud, Corruption, and Collusion in Public Expenditures. World Bank, Washington DC. 2023
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73.
The Corruption Cost Tracker: An Online Tool to Assess Corruption Risks in Public Procurement.
Basdevant, Olivier and Fazekas, Mihály
Technical Notes and Manuals No. 2023/001, International Monetary Fund, Washington DC. 2023
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126.
Veljanov, Zdravko & Fazekas, Mihály
GTI-WP/2023:04, Budapest: Government Transparency Institute. 2023
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138.
Fazekas, Mihály; De Oliveira, Alexandre; & Regős, Nóra
Policy Research Working Paper: WPS 9689, Washington, D.C.: World Bank. 2021
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146.
Strategic Sourcing 20: Improving Fiscal Efficiency Using Big Data.
De Oliveira, Alexandre; Fabregas, Abdoulaye; & Fazekas, Mihaly
Conference paper: ”Public Procurement: Global Revolution IX” at the University of Nottingham, June 2019. 2019
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147.
Auction Length and Prices: Evidence from Random Auction Closing in Brazil.
De Oliveira, Alexandre; Fabregas, Abdoulaye; & Fazekas, Mihaly
Policy Research Working Paper; no. WPS 8828. Washington, D.C.: World Bank Group. 2019