Area-of-effect placebo tests
London Stata Conference 2019 from Stata Users Group
The emergence of GIS data offers a plethora of analytical approaches to investigate societal phenomena or policies in a spatial context. However, not all policies are implemented on the level of clearly delineated administrative areas. Some interventions might be active in imprecisely specified or only partially known geographic sectors. As a direct consequence, the resulting uncertainty regarding the area-of-effect (AOE) impacts on estimates of the effectiveness of a related policy. In this research, I present a new Stata tool to investigate the robustness of area-specific effectiveness estimates when the observed area might suffer from unknown degrees of misspecification relative to the actual AOE of a policy. In this regard, there are several dimensions of uncertainty regarding the observed AOE that relate to a potential misspecification of the observed intervention area in three dimensions—its position, orientation, and scale. The impact of these forms of area misspecification can be assessed in the aoeplacebo program, either by generating a number of AOE placebo test diagnostics or conducting AOE permutation simulations.
References: Add references at CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:boc:usug19:04
Access Statistics for this paper
More papers in London Stata Conference 2019 from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().