Threshold effects in non-dynamic panels: Estimation, testing and inference

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Abstract
Threshold regression methods are developed for non-dynamic panels with individual-specific fixed effects. Least squares estimation of the threshold and regression slopes is proposed using fixed-effects transformations. A non-standard asymptotic theory of inference is developed which allows construction of confidence intervals and testing of hypotheses. The methods are applied to a 15-year sample of 565 U.S. firms to test whether financial constraints affect investment decisions.
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