End-of-Sample Instability Tests
By Donald W. K. Andrews. 2003
177 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/1c8d15178a9d0a56fa62801f5855a317408f0d7c
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Citations in the corpus
- Populist Leaders and the Economy (2020, methodology): “For formal inference, we follow Hahn and Shi (2017) and Andrews (2003), who proposed an end-of-sample instability test to conduct inference in the context of synthetic control estimates.”
- Rational bubbles or persistent deviations from market fundamentals (2005, methodology): “However, given the high probability of a structural break in the latter half of the 1990s suggested by Fair (2004) using tests developed by Andrews (2003), the unit-root tests based on the full sample should be viewed with caution.”
- The Costs of Economic Nationalism: Evidence from the Brexit Experiment* (2019, methodology): “13 We follow Andrews (2003) and apply the end-of-sample instability test to our baseline estimation.”
- Tests for Cointegration Breakdown Over a Short Time Period (2006, methodology): “Andrews (2003) used subsampling to obtain critical values for tests of parameter instability over short time periods in models with stationary observations.”
- Current account imbalances and financial integration in the euro area (2011, unknown): “Third, we test for parameter instability from 1999 onwards, using the end-of-sample stability test proposed by Andrews (2003).”
- Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects (2021, methodology): “In a repeated sampling framework for stationary data and large T 0 , Hahn and Shi (2017) propose to apply the end-of-sample instability test of Andrews (2003) to obtain an inferential procedure for synthetic control estimators.”
- Inference in Differences-in-Differences with Few Treated Groups and Heteroskedasticity (2019, methodology): “Therefore, this is a particular case of Andrews’ (2003) end-of-sample instability test in a model that includes only a constant.”
- The Hausman Test and Weak Instruments (2011, background): “full rank K. Then, (a) under the null hypothesis ( 2 ),”
- Shrinkage estimation of common breaks in panel data models via adaptive group fused Lasso (2016, unknown): “We assume 01 ≥ 2 and allow 00 = When 0 0 = the last break occurs at the end of the sample (c.f., Andrews 2003) and the (0 + 1)th regime has only one observation for each individual time series.”
- Risk, Uncertainty and Monetary Policy (2013, unknown): “Finally, the Andrews (2003) test, formally designed for a break that occurs towards the end of the sample, is also performed.”