Why the Open Method of Coordination (OMC) is bad for you: a letter to the EU. Research Papers in Law, 5/2006

From the Introduction. The aim of the present “letter” is to provoke, rather than to prove. It is intended to further stimulate the – already well engaged – scientific dialogue on the open method of coordination (OMC).1 This explains why some of the arguments put forward are not entirely new, while others are overstretched. This contribution, belated as it is entering into the debate, has the benefit of some hindsight. This hindsight is based on three factors (in chronological order): a) the fact that the author has participated himself as a member of a national delegation in one of the OMC-induced benchmarking exercises (only to see the final evaluation report getting lost in the Labyrinth of the national bureaucracy, despite the fact that it contained an overall favorable assessment), as well as in a OECD led exercise of coordination, concerning regulatory reform; b) the extremely rich and knowledgeable academic input, offering a very promising theoretical background for the OMC; and c) some recent empirical research as to the efficiency of the OMC, the accounts of which are, to say the least, ambiguous. This recent empirical research grounds the basic assumption of the present paper: that the OMC has only restricted, if not negligible, direct effects in the short term, while it may have some indirect effects in the medium-long term (2). On the basis of this assumption a series of arguments against the current “spread” of the OMC will be put forward (3). Some proposals on how to neutralize some of the shortfalls of the OMC will follow (4).

Practical Modified Gini Index. ACES Working Papers, 2012

The Gini index is the most common method for estimating the level of income inequality in countries. In this paper we suggest a simple modification that takes into account the moderating effect of in-kind government benefits. Unlike other studies that use micro level data that is rarely available for many countries or over a period of time, the proposed modified Gini index could be calculated using just the regularly available data for each country. Such data includes the original Gini coefficient, government consumption expenditures, GDP and total tax revenue as a percentage of GDP. This modified version of the Gini index allows us to calculate the level of inequality more precisely, and make better comparisons between countries and over time.