Ceilings and Floors
Gary Goertz,
Tony Hak and
Jan Dul
Sociological Methods & Research, 2013, vol. 42, issue 1, 3-40
Abstract:
There are situations where the data or the theory suggest or require, respectively, that one estimate the boundary lines that separate regions of observations from regions of no observations. Of particular interest are ceiling or floor lines. For example, many theories use terms such as veto player, constraint, only if, and so on, which suggest ceilings. Ceiling hypotheses have a nonstandard form claiming the probability of Y Â will be zero for all values of Y Â greater than the ceiling value of Y c for a given value of X . Conversely, ceiling hypotheses make no specific prediction about the value of Y for a given value of X Â except that it will be less than the ceiling value. Floors work by guaranteeing minimum levels. The article gives numerous examples of theories that imply ceiling or floor hypotheses and numerous examples of data that fit such hypotheses. The article proposes quantile regression as a means of estimating the boundaries of the no-data zone as well as criteria for evaluating the importance of the boundary variable. These techniques are illustrated for ceiling and floor hypotheses relating gross domestic product/capita and democracy.
Keywords: QCA; necessary conditions; quantile regression; GDP/capita; democracy; veto player (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0049124112460375 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:42:y:2013:i:1:p:3-40
DOI: 10.1177/0049124112460375
Access Statistics for this article
More articles in Sociological Methods & Research
Bibliographic data for series maintained by SAGE Publications ().