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Finite-sample exact tests for linear regressions with bounded dependent variables

Gossner, Olivier and Schlag, Karl H. (2013) Finite-sample exact tests for linear regressions with bounded dependent variables. Journal of Econometrics, 177 (1). pp. 75-84. ISSN 0304-4076

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Identification Number: 10.1016/j.jeconom.2013.06.003

Abstract

We introduce tests for finite-sample linear regressions with heteroskedastic errors. The tests are exact, i.e., they have guaranteed type I error probabilities when bounds are known on the range of the dependent variable, without any assumptions about the noise structure. We provide upper bounds on probability of type II errors, and apply the tests to empirical data.

Item Type: Article
Official URL: http://www.sciencedirect.com/science/journal/03044...
Additional Information: © 2013 Elsevier B.V.
Divisions: Mathematics
Subjects: Q Science > QA Mathematics
JEL classification: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C12 - Hypothesis Testing
Date Deposited: 19 Aug 2013 15:10
Last Modified: 06 Jan 2024 18:09
Projects: MEC-SEJ2006-09993
Funders: Ministerio de Educación y Ciencia de España
URI: http://eprints.lse.ac.uk/id/eprint/51789

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