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FAMP                         ANDRONICEANU Armenia and OHANYAN Gurgen
                CCASP              IMF POLICIES AND THEIR EFFECTS ON EDUCATION IN ROMANIA



        mentioned above, there is a notable amount of studies claiming that IMF participation led to reducing

        budget  allocations  on  educations,  freezing  salaries  of  public  employees  and  cutting  jobs  in  public
        institutions. Hence, we present comprehensive discussion of employed methodology in the next chapter.


        4. DATA AND METHODOLOGY


        In the literature there are several statistical methods employed to estimate effects of IMF programs. In
        this section we briefly introduce those main methodological approaches by justifying our choice of a

        method.  Particularly,  Ul  Haque  and  Khan  (1998)  segregate  the  following  four  methods:  before-after
        method, with-without, generalized evaluation and comparison of simulations.

        Yet, Vreeland (2006) goes further by splitting generalized evaluation into three distinct approaches, there

        are as follows: controlling for selection on observed variables, controlling for selection on unobserved
        variables and instrumental variables. Each of them represents sophisticated methods to tackle selection
        problem in evaluation of IMF programs.


        The before-after (BA) and with-without (WW) approaches are more intuitive and have drawback as they
        do not count selection problem, but their advantage is the ease of calculation. Yet, generalized evaluation  PROCEEDINGS OF THE 11 TH  ADMINISTRATION AND PUBLIC MANAGEMENT INTERNATIONAL CONFERENCE  ”Strategic Management for Local Communities”  30 th  – 31 st  October 2015   Bucharest
        and controlling for selection demand large-n observations, which are available in cross country and panel

        data analysis. Moreover, these methods, as well, have their limitations. Particularly, controlling selection
        methods  are  based  on  assumption  that  errors  are  distributed  normally  or  bell-shaped.  Instrumental
        variables could solve the problem with selection, but factors that condition the selection into IMF program

        can influence its effects, as well (Vreeland, 2006). Thus, assessment of IMF conditionality effects on
        program countries is not straightforward.

        Given that our research attempts to identify IMF conditionality effects on Romanian education, we have

        faced with real constraints on data availability. Data limitation hinders employment of above mentioned
        sophisticated methods for evaluation remaining the most appropriate ones BA and WW. Meanwhile, BA
        approach could be applied in this case, as Romania since 2009 has signed three continuous SBAs with

        IMF with two years duration, respectively in 2011 and 2013. Hence, there is no available data on education
        indicators to evaluate after program performance.

        We have consulted the literature on overcoming selection problem in WW approach. As not considering

        the selection could cause serious misinterpretation of results. Particularly, it is not fair to compare a
        country that has problems and turned to the IMF with one that is more preferable economic situation.







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