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Cited by 339

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Response Surface Regressions for Critical Value Bounds and Approximate p‐values in Equilibrium Correction Models1

Open access
Kripfganz, Sebastian, Schneider, Daniel C.·2020·Oxford Bulletin of Economics and Statistics

Abstract

We consider the popular ‘bounds test’ for the existence of a level relationship in conditional equilibrium correction models. By estimating response surface models based on about 95 billion simulated F‐statistics and 57 billion t‐statistics, we improve upon and substantially extend the set of available critical values, covering the full range of possible sample sizes and lag orders, and allowing for any number of long‐run forcing variables. By computing approximate P‐values, we find that the bounds test can be easily oversized by more than 5 percentage points in small samples when using asymptotic critical values.

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Metadata

Authors
Kripfganz, S., & Schneider, D. C.
Venue
Oxford Bulletin of Economics and Statistics
Publisher
Wiley
Published
2020-07-09
Volume
82
Issue
6
Pages
1456-1481
ISSN
  • 0305-9049 (ISSN-L)
  • 1468-0084
OpenAlex
W2918560367
Cited by
339
References
30
FWCI
72.48
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Response Surface Regressions for Critical Value Bounds and Approximate p‐values in Equilibrium Correction Models1. https://app.cochat.ai/papers/10.1111/obes.12377
The paper
Kripfganz, S., & Schneider, D. C. (2020). Response Surface Regressions for Critical Value Bounds and Approximate p‐values in Equilibrium Correction Models1. Oxford Bulletin of Economics and Statistics. https://doi.org/10.1111/obes.12377

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.