<![CDATA[The latest direction in development economics research both at home and abroad is starting toreduce the use of convoluted analytical models. Using too many variables but with unclearcausality will actually complicate the analysis and produce results that are not necessarily goodand correct. There are quite a lot of scientific work findings that use dozens of variables, withstatistically significant results, but if you examine the relationship many questions arise such as"How can x have a relationship with y?" or “Doesn't y affect x, and not vice versa?” or what isknown as reverse causality. Causality between variables must be supported by a strong and indepth theoretical basis—not to show that the increase in the number of giraffes in Australiaaffects Indonesia's GDP—and the existence of this relationship must be free from sources ofbias..]]>
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