Proposal for a New Measure of Corruption, Illustrated with Italian Data

By Miriam A. Golden, Lucio Picci. 2005

448 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/2038563d5e4759236ce26ef6fe84ddadc031c01a

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Citations in the corpus

FIRM PRODUCTIVITY AND INSTITUTIONAL QUALITY: EVIDENCE FROM ITALIAN INDUSTRY (2015, background): “Golden and Picci (2005); 23Absolute value of the overruled municipalities on total municipalities, regional level.”
Corruption and destructive entrepreneurship (2017, unknown): “The idea that public infrastructure is adversely affected by corruption has led Golden and Picci (2005) to propose measuring corruption by the difference between the value of existing infrastructure and the actual physical infrastructure.”
How (Not) to measure institutions (2012, unknown): “However, there have been a number of attempts: for example, Golden and Picci (2005) propose comparing the quality of the physical infrastructure with the money that went into it.”
Corruption, Governance and FDI Location in China: A Province-Level Analysis (2009, background): “Golden and Picci (2005) examine intra-country corruption levels for Italy in the 1990s, comparing the difference between a measure of the total amount of investment in infrastructure and a measure of the physical quantity of the public infrastructure, assuming that the difference between these two m”
Corruption, Institutions, and Economic Development (2009, background): “This include data on the number of o¢ cials convicted for corruption (see e.g., Alt and Lassen (2003) for a study of US states and Del Monte and Papagni (2001) for a study of Italian regions) and data on the amount of leakage from infrastructure projects in Italian regions (Golden and Picci, 2005).”
Law Enforcement, Municipal Budgets and Spillover Effects: Evidence from a Quasi-Experiment in Italy (2017, background): “10Golden and Picci (2005) suggest that these are also the Italian regions with the highest level of corruption.”
Social Capital and Political Accountability (2010, unknown): “9See Golden and Picci (2005) on how this objective measure of corruption is built.”
What Have We Learned About the Causes of Corruption from Ten Years of Cross-National Empirical Research? (2007, background): “Golden & Picci (2005) constructed an index of corruption in Italy’s regions by comparing the value of existing infrastructure stocks to past infrastructure spending.”
Stochastic multi-attribute acceptability analysis (SMAA): an application to the ranking of Italian regions (2018, result): “22 concerning the poor performance of Liguria is in line with the extant literature comparing the relative endowment of infrastructure of Italian regions to assess levels of corruption (Golden and Picci, 2005) and has been explained in terms of orography.”
“Close but no Cigar”: the measurement of corruption* (2014, background): “Ultimately, as Golden and Picci (2005, 42) note, such assumptions are plausible but cannot be proved.”
Publicity requirements in public procurement: Evidence from a regression discontinuity design ☆ (2012, methodology): “Wemeasure corruption at provincial level using the Golden and Picci (2005) Index.”