Robust inferences from random clustered samples: an application using data from the panel study of income dynamics
By John V. Pepper. 2002
134 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/ff26c48026f308421fc34bb8b1341ba272856b4b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Samuele Murtinu
- Tricia L. Petras
- C. Kubitza
- V. Krishna
- Zulkifli Alamsyah
- George E. Tita
- Robert T. Greenbaum
- M. Qaim
In Sociology and Political Science
- Tricia L. Petras
- C. Kubitza
- V. Krishna
- Zulkifli Alamsyah
- George E. Tita
- Robert T. Greenbaum
- M. Qaim
- Mario Daniele Amore
Citations in the corpus
- Does bank competition reduce cost of credit? Cross-country evidence from Europe (2017, unknown): “We corroborate the theoretical and empirical arguments of Petersen and Rajan (1995), who find lower loan rates in concentrated banking markets.”
- Cross-section Regression with Common Shocks (2003, unknown): “…a number of papers on models with group effects (and the closely related models with variance components and clustered sampling): see Kloek (1981), Scott and Holt (1982), Greenwald (1983), Pfeffermann and Smith (1985), Moulton (1986, 1987, 1990), Moulton and Randolf (1989), and Pepper (2002).”
- Category Spanning, Evaluation, and Performance: Revised Theory and Test on the Corporate Law Market (2016, unknown): “We therefore computed clustered-robust standard errors at the firm–worldwide level—that is, one level above our unit of analysis (Pepper, 2002)—to correct for the lack of independence of evaluation obtained by the same firm.”
- Crime and Residential Choice: A Neighborhood Level Analysis of the Impact of Crime on Housing Prices (2006, methodology): “Several strategies can be employed to improve the estimates of the standard errors on the regression coefficients and provide more reliable t statistics, including the use of robust standard errors and clustering of observations (e.g., Pepper 2002; Wooldridge 2003).”
- Robust Inference with Clustered Data (2010, unknown): “Pepper (2002) provides a detailed example.”
- Tobit models in strategy research: Critical issues and applications (2019, background): “In the presence of nested two-way clustering (for instance, firm-level and industry-level clustering), some scholars suggest to cluster SEs at the highest level of aggregation (Cameron, Gelbach, & Miller, 2011; Pepper, 2002).”
- Robust Inference With Multiway Clustering (2006, unknown): “Pepper (2002) provides an example.”
- Land property rights, agricultural intensification, and deforestation in Indonesia (2018, methodology): “We account for possible heteroscedasticity by using cluster-corrected standard errors (Pepper, 2002; Cameron et al., 2011).”