Cluster-Sample Methods in Applied Econometrics
By Jeffrey M. Wooldridge. 2003
1,288 citations recorded by the source corpus.
Subfields: Statistics and Probability
How researchers see this paper
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In Statistics and Probability
- Ivan A. Canay
- James Pustejovsky
- Andrés Santos
- James G. MacKinnon
- Elizabeth Tipton
- A. Shaikh
- Andreas Hagemann
- Ulrich K. Müller
Citations in the corpus
- Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program (2010, neutral): “In addition, we adopt the terms “region” or “unit” and “intervention” or “treatment,” which can be substituted for “country,” “state,” “city,” etc. and “event,” “shock,” “law,” etc., respectively for specific applications.”
- Does Culture Influence Asset Managers? Views and Behavior? (2008, methodology): “Asterisks refer to level of significance: * 10%, ** 5%, *** 1%. cording to Wooldridge (2003, 2006).”
- Policy uncertainty, derivatives use, and firm-level FDI (2017, neutral): “As in Wooldridge (2003), our model specification can be referred to as a hierarchical linear model (HLM).”
- The impact of entrepreneurship education on entrepreneurship skills and motivation (2010, background): “Wooldridge (2006) argues, however, that this criticism is ‘‘indistinguishable from a common question raised in any difference-in-differences analysis: How can we be sure that any observed differences in means is due entirely to the policy change?’’”
- Small-Sample Methods for Cluster-Robust Variance Estimation and Hypothesis Testing in Fixed Effects Models (2016, background): “The consistency property of CRVEs is asymptotic in the number of independent clusters (Wooldridge 2003).”
- The Use (and Abuse) of Meta-Analysis in Environmental and Natural Resource Economics: An Assessment (2009, neutral): “Wooldridge (2003) surveys this problem, noting difficulties when the number of clusters is small.”
- The Short-Term Mortality Consequences of Income Receipt (2011, background): “While we anticipate there is some autocorrelation in mortality rates, Monte Carlo estimates suggest that Huber/White-type procedures allowing for arbitrary correlation in errors perform poorly when the number of groups is small (Wooldridge, 2003).”
- Naturally Occurring Preferences and Exogenous Laboratory Experiments: A Case Study of Risk Aversion (2007, background): “Wooldridge (2003) reviewed some issues in the use of clustering for panel effects, in particular noting that significant inferential problems may arise with small numbers of panels.”
- A Practitioner’s Guide to Cluster-Robust Inference (2015, background): “Cameron and Miller (2011) and Wooldridge (2003, 2006) provide surveys, and lengthy expositions are given in Angrist and Pischke (2009) and Wooldridge (2010).”
- What’s trending in difference-in-differences? A synthesis of the recent econometrics literature (2022, neutral): “The variance σ 2 is consistently estimable using standard clustering methods that allow for arbitrary serial correlation at the unit level (Liang and Zeger, 1986; Arellano, 1987; Wooldridge, 2003; Bertrand et al., 2004).”