Trade intensity, country size and corruption

By Stephen F. Knack, O. Azfar. 2003

277 citations recorded by the source corpus.

Subfields: Demography, Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/a6d528d9ffb1b5dd350f426ffb6e42fe547c10d3

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Citations in the corpus

The use (and abuse) of governance indicators in economics: a review (2008, methodology): “Knack and Azfar 2003 KKZ (Graft), TI Corruption Perceptions Index, World Bank’s CPIA 40-162 1995-99 OLS With corruption indices as dependent variable they find that increasing the sample size (using KKZ and CPIA) to include smaller countries causes the coefficient on trade intensity (natural…”
Does Foreign Direct Investment Decrease Corruption (2004, background): “Knack and Azfar (2003) contest this finding, suggesting it may be the result of sample selection bias since most corruption indices are collected to guide international investors, which are interested in large markets, i.e. countries which are large or, if small, offer a high quality of government…”
Consequences and causes of corruption: What do we know from a cross-section of countries? (2005, background): “finding is reported by Kunicova [2002]. Montinola and Jackman [2002] argue similarly, but employ a dummy variable for OPEC member states instead, which relates to abundance of oil.”
Does the Quality of Institutions Limit the MENA's Integration in the World Economy? (2004, unknown): “This reverse causality seems, however, to be statistically fragile (Knack and Azfar, 2003).”
Construction, Corruption, and Developing Countries (2007, unknown): “…–this matches general corruption results suggesting that neither trade openness nor country size is robustly related to perceived corruption (Knack and Azfar, 2003), and there are numerous cases where international competitive bidding has proven inefficient.32 To support the bid design…”
International Integration and National Corruption (2003, methodology): “Using this new larger data set, which Knack and Azfar (2001) refer to as the “Graft- CPIA” index, we replicated our analysis for their sample of 153 nation states for the 1997-98 period.30 [Insert Table 4] 29 The data set also includes some areas that are more aptly described as semi-autonomous…”
Ecology, trade and states in pre-colonial Africa (2014, background): “corruption (Dutt, 2009; Treisman, 2000) others have found either no effect or that corruption is simply displaced (Knack and Azfar, 2003; Sequeira, 2011).”
How corruption affects persistent capital flows (2003, methodology): “A selection bias arises for regressions on corruption and population, because small and corrupt countries are disregarded, see Knack and Azfar (2003). We tested whether such a bias is also relevant in our context.”