What is it about?
This paper provides an easy method to allow for very general nonlinear effects in nonlinear models (such as logits and probits).
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Why is it important?
Techniques for nonlinear effects in linear models have been around for ages; this paper is the the first to show how similar effects may be allowed for in the increasingly popular broad class of nonlinear models
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This page is a summary of: THRESHOLD EFFECTS IN NONLINEAR MODELS WITH AN APPLICATION TO THE SOCIAL CAPITAL-RETIREMENT-HEALTH RELATIONSHIP, Health Economics, July 2014, Wiley,
DOI: 10.1002/hec.3088.
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