Robust Standard Errors for Panel Regressions with Cross-Sectional Dependence
By Daniel Hoechle. 2007
2,954 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/0d563b20f3c5c8ac3ca4dba6de83e177a4c9ab60
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In Economics and Econometrics
- Yang Zhou
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Citations in the corpus
- Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R (2020, methodology): “An alternative implementation for the latter is available in the contributed Stata module xtscc (Hoechle 2007).”
- Spatial Panel-data Models Using Stata (2017, methodology): “As for the Driscoll-Kraay standard errors, the xsmle implementation is based on Hoechle (2007)’s xtscc command.”
- The belt and road initiative, cultural friction and ethnicity: Their effects on the export performance of SMEs in China (2019, methodology): “2 We further adopted a clustered sandwich estimator technique clustering on the firms in all of the models to account for any potential serial correlation and heteroskedasticity (Hoechle, 2007).”
- Greenwash vs. Brownwash: Exaggeration and Undue Modesty in Corporate Sustainability Disclosure (2015, background): “, autocorrelation and heteroskedasticity (Hoechle, 2007; Driscoll and Kraay, 1998).”
- Do FinTech trigger renewable energy use? Evidence from OECD countries (2021, methodology): “These errors are “ heteroskedasticity-and autocorrelation-consistent and are robust to general forms of cross-sectional and temporal dependence ” [67].”
- The Volatility of Capital Flows in Emerging Markets: Measures and Determinants (2017, methodology): “32 To do so, we used the command in Stata (see Hoechle (2007)). 33 In the former case, we use the Durbin-Wu-Hausman test, while in the latter we perform the test for weak crosssectional dependence proposed by Pesaran (2015).”
- Do EU structural funds promote regional growth? New evidence from various panel data approaches☆ (2010, methodology): “Thus, we estimate standard errors employing a non- parametric covariance matrix estimation procedure as proposed by Driscoll and Kraay (1998) (for a recent discussion, see Hoechle, 2007).”
- The Impact of Disasters on Inflation (2017, positive): “The estimation using Driscoll and Kraay (1998) adjusted standard errors is implemented using the xtscc command developed by Hoechle (2007).”