OLS with inequality constraints
Posted: Tue Jul 02, 2013 12:01 am
Good morning,
given the versatility of OLS models with arbitrary inequality constraints, I was wondering whether it would be possible to implement OLS with inequality constraints, for example using the approach laid out here (http://www.jstor.org/discover/10.2307/2 ... 2140463023), in Eviews. I am aware of the workarounds to impose simple constraints via monotonic transformations, but "real" inequality constraints would make life a whole lot easier. The workarounds also do not work with limited data availability, e.g. 25 observations are insufficient to use a transformation that imposes 0<ci<1 and c1+c2+c3...=1.
Given my limited programming experience, and my full-time job in a different function at IHS, I currently lack the necessary skill and time to undertake this venture myself.
given the versatility of OLS models with arbitrary inequality constraints, I was wondering whether it would be possible to implement OLS with inequality constraints, for example using the approach laid out here (http://www.jstor.org/discover/10.2307/2 ... 2140463023), in Eviews. I am aware of the workarounds to impose simple constraints via monotonic transformations, but "real" inequality constraints would make life a whole lot easier. The workarounds also do not work with limited data availability, e.g. 25 observations are insufficient to use a transformation that imposes 0<ci<1 and c1+c2+c3...=1.
Given my limited programming experience, and my full-time job in a different function at IHS, I currently lack the necessary skill and time to undertake this venture myself.