@article{ barassi_effect_2012,
  title = {The effect of corruption on {FDI}: A parametric and non-parametric analysis},
  volume = {28},
  issn = {0176-2680},
  shorttitle = {The effect of corruption on {FDI}},
  url = {http://www.sciencedirect.com/science/article/pii/S017626801200002X},
  doi = {10.1016/j.ejpoleco.2012.01.001},
  abstract = {This paper analyses the effect of corruption on Multinational Enterprises' ({MNEs}) incentives to undertake {FDI} in a particular country. We contribute to the existing literature by modelling the relationship between corruption and {FDI} using both parametric and non-parametric methods. We report that the impact of corruption on {FDI} stock is different for the different quantiles of the {FDI} stock distribution. This is a characteristic that could not be captured in previous studies which used only parametric methods. After controlling for the location selection process of {MNEs} and other host country characteristics, the result from both parametric and non-parametric analyses offer some support for the ‘helping-hand’ role of corruption.},
  number = {3},
  urldate = {2014-08-20TZ},
  journal = {European Journal of Political Economy},
  author = {Barassi, Marco R. and Zhou, Ying},
  month = {September},
  year = {2012},
  keywords = {Corruption, {FDI}, {MNEs}' location choice, Non parametric, Parametric},
  pages = {302--312}
}

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