Do existing corruption levels matter in controlling corruption? ☆ ☆☆: Cross-country quantile regression estimates

By Sherrilyn M. Billger, Rajeev Kumar Goel. 2009

327 citations recorded by the source corpus.

Subfields: Demography, Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/4574250a93eb3a9aec6eb7f16b421eb55da7c7bd

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Citations in the corpus

Individualism–collectivism, governance and economic development (2015, unknown): “I control for latitude because Diamond (1997) has explained the importance of a large land-mass across an East-West axis for technological diffusion and, ultimately, long-run growth. In addition, Gallup et al. (1999) have argued that the geographic location of the tropics could undermine development”
Corruption and growth: The role of governance, public spending, and economic development (2014, unknown): “For example, studies by Mauro (1995), Knack and Keefer (1995), Keefer and Knack (1997), Fisman and Gatti (2002), Rauch and Evans (2000), Blackburn and Forgues-Puccio (2007) find that there is a significant negative relationship between the level of corruption and the level of economic development…”
Financial development dynamic thresholds of financial globalization: Evidence from Africa (2012, background): “Quantile regression (QR) yields parameters estimated at multiple points in the conditional distribution of the dependent variable (Koenker & Bassett, 1978) and has gained attention in recent development literature (Billger & Goel, 2009; Okada & Samreth, 2012).”
The effect of foreign aid on corruption: A quantile regression approach (2012, methodology): “The explanatory variable of most concern is foreign aid, defined as net disbursements of Official Development Assistance (ODA) divided by GDP.3 Following previous studies such as Serra (2006), other than foreign aid, we take into account economic, political, and cultural factors as the determinants ”
Democracy, Financial Openness, and Global Carbon Dioxide Emissions: Heterogeneity Across Existing Emission Levels (2015, background): “, an excellent paper on the determinants of corruption level by Billger and Goel (2009), it is relatively new in environmental research.”
On the Effect of Foreign Aid on Corruption (2012, background): “These approaches have disadvantages, as they only estimate the parameters of interest at the mean evaluation by a conditional distribution of the dependent variable(Billger & Goel,2009)”(p.240).”
Information Asymmetry and Market Power in the African Banking Industry (2017, methodology): “…exclusively at the conditional mean of the outcome variable is addressed with Quantile Regressions (QR) which enables the study to assess the nexuses throughout the conditional distributions of market power (see Keonker & Hallock, 2001; Billger & Goel, 2009; Okada & Samreth, 2012; Asongu, 2013).”