Sources of Corruption: A Cross-Country Study

By Gabriella R. Montinola, R. Jackman. 2002

803 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/bed175746d787885a65d2d590476684ee0374503

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Citations in the corpus

Fiscal decentralization and regional disparities: The importance of good governance (2013, neutral): “Or it could be that governments that are better endowed may perform better (Montinola and Jackman, 2002).”
Benchmarking across Borders: Electoral Accountability and the Necessity of Comparison (2012, background): “…of their citizens exists in areas as disparate as life expectancy (Besley and Kudamatsu 2006), rural electrification (Min 2008), corruption (Montinola and Jackman 2002), and the material welfare of the poor (Blaydes and Kayser 2011), the most direct evidence that elected officials are…”
Control of corruption, international investment, and economic growth – Evidence from panel data (2018, background): “Corruption could also encourage increased and inefficient allocation of government resources as corrupt officials seek to maximize their rent-extracting potential (d’Agostino, Dunne, & Pieroni, 2016a; d’Agostino, Dunne, & Pieroni, 2016b; Montinola & Jackman, 2002).”
Corruption and firm growth: Evidence from China☆ (2012, background): “…evidence suggests the reverse causation from economic growth to corruption, meaning that the incidence of corruption is determined by the level of economic development (e.g., Fisman and Gatti, 2002; Husted, 1999; Montinola and Jackman, 1999; Paldam, 2002; Rauch and Evans, 2000; Treisman, 2000).”
Political and Judicial Checks on Corruption: Evidence from American State Governments (2007, neutral): “Most empirical research on the determinants of corruption has been conducted in cross-national contexts (Ades and di Tella, 1999; Treisman, 2000; Montinola and Jackman, 2002), focusing on historical, economic and cultural determinants of corruption.”
Proposal for a New Measure of Corruption, Illustrated with Italian Data (2005, background): “The TI index, which is based on an aggregation of multiple 1The importance of developing subnational measures has already been recognized by one of the main international bodies known for its corruption measures; see the Mexican state-level indicators now available (Transparencia Mexicana, 2003) and”