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Factor-Driven Two-Regime Regression

Sokbae Lee, Yuan Liao, Myung Hwan Seo, Youngki Shin

arXiv 25 Oct 2018 · Econometrics · publishedThe Annals of Statistics (2021) · 8 citations (OpenAlex)

arXiv:1810.11109 · PDF · DOI · OpenAlex · Extracted main text

Abstract

We propose a novel two-regime regression model where regime switching is driven by a vector of possibly unobservable factors. When the factors are latent, we estimate them by the principal component analysis of a panel data set. We show that the optimization problem can be reformulated as mixed integer optimization, and we present two alternative computational algorithms. We derive the asymptotic distribution of the resulting estimator under the scheme that the threshold effect shrinks to zero. In particular, we establish a phase transition that describes the effect of first-stage factor estimation as the cross-sectional dimension of panel data increases relative to the time-series dimension. Moreover, we develop bootstrap inference and illustrate our methods via numerical studies.

Citation extraction

37
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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Hansen (2000) Sample splitting and threshold estimation0.87462100%
2Kim and Pollard (1990) Cube Root Asymptotics0.73732100%
3Fan, Liao, and Mincheva (2013) Large covariance estimation by thresholding principal orthogonal complements (with discussion)0.6444250%
4Bai (2003) Inferential theory for factor models of large dimensions0.6444250%
gonccalves2018bootstrappingunmatched citation key gonccalves2018bootstrapping0.6444250%
6Chan (1993) Consistency and limiting distribution of the least squares estimator of a threshold autoregressive model0.58531100%
7Bertsimas, King, and Mazumder (2016) Best subset selection via a modern optimization lens0.5112250%
8Bai and Ng (2006) Confidence Intervals for Diffusion Index Forecasts and Inference for Factor-Augmented Regressions0.51121100%
9Hansen (1997) Inference in TAR Models0.51121100%
10van der Vaart and Wellner (1996) Weak convergence and empirical processes0.5008412%

Showing the top 10 of 39 scored citations. 1 of these could not be matched to a bibliography entry, so only the citation key is shown.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Threshold Regression with Nonparametric Sample Splitting0.84333
2Recent Developments on Factor Models and its Applications in Econometric Learning0.69351
3Continuity of the Distribution Function of the $arg\,max$ of a Gaussian Process0.64422
4Optimal Estimation Methodologies for Panel Data Regression Models0.58531
5Exact Computation of Maximum Rank Correlation Estimator0.40511
6Bootstraps for Dynamic Panel Threshold Models0.40511
7Change-Point Detection in Time Series Using Mixed Integer Programming0.40511