arXiv 23 Jul 2020 · Econometrics · publishedJournal of Statistical Software (2023) · 11 citations (OpenAlex)
arXiv:2007.12249 · PDF · DOI · OpenAlex · Extracted main text
Unit root tests form an essential part of any time series analysis. We provide practitioners with a single, unified framework for comprehensive and reliable unit root testing in the R package bootUR.The package's backbone is the popular augmented Dickey-Fuller test paired with a union of rejections principle, which can be performed directly on single time series or multiple (including panel) time series. Accurate inference is ensured through the use of bootstrap methods. The package addresses the needs of both novice users, by providing user-friendly and easy-to-implement functions with sensible default options, as well as expert users, by giving full user-control to adjust the tests to one's desired settings. Our parallelized C++ implementation ensures that all unit root tests are scalable to datasets containing many time series.
appendix boundary found by appendix_command · 96% of the source is main text. Read the extracted text to check this.
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.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Smeekes S, Taylor AMR (2012) Bootstrap Union Tests for Unit Roots in the Presence of Nonstationary Volatility | 0.928 | 4 | 3 | 100% |
| 2 | Smeekes S (2015) Bootstrap Sequential Tests to Determine the Order of Integration of Individual Units in a Time Series Panel | 0.909 | 20 | 4 | 75% |
| 3 | Harvey DI, Leybourne SJ, Taylor AMR (2009) Unit Root Testing in Practice: Dealing With Uncertainty Over the Trend and Initial Condition | 0.874 | 10 | 2 | 100% |
| 4 | Harvey DI, Leybourne SJ, Taylor AMR (2012) Testing for Unit Roots in the Presence of Uncertainty Over Both the Trend and Initial Condition | 0.874 | 5 | 2 | 100% |
| 5 | Palm FC, Smeekes S, Urbain JP (2011) Cross-Sectional Dependence Robust Block Bootstrap Panel Unit Root Tests | 0.874 | 5 | 2 | 100% |
| 6 | Dickey DA, Fuller WA (1979) Distribution of Estimators for Autoregressive Time Series With a Unit Root | 0.811 | 4 | 2 | 100% |
| 7 | Moon HR, Perron B (2012) Beyond Panel Unit Root Tests: Using Multiple Testing to Determine the Non stationarity Properties of Individual Series in a Panel | 0.811 | 4 | 2 | 100% |
| 8 | Romano JP, Shaikh AM, Wolf M (2008) Formalized Data Snooping Based on Generalized Error Rates | 0.737 | 3 | 2 | 100% |
| 9 | Romano JP, Wolf M (2005) Stepwise Multiple Testing As Formalized Data Snooping | 0.737 | 3 | 2 | 100% |
| 10 | Smeekes S, Urbain JP (2014) A Multivariate Invariance Principle for Modified Wild Bootstrap Methods With an Application to Unit Root Testing | 0.693 | 7 | 1 | 100% |
Showing the top 10 of 81 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.
| Citing paper | Intensity | Mentions | Sections | |
|---|---|---|---|---|
| 1 | Inference in Non-stationary High-Dimensional VARs | 0.644 | 2 | 2 |
| 2 | Тестирование на единичный корень в панельных данных: обзор | 0.405 | 1 | 1 |
| 3 | Persistence-Robust Break Detection in Predictive CoVaR Regressions | 0.405 | 1 | 1 |