Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/260487 
Year of Publication: 
2021
Series/Report no.: 
Queen’s Economics Department Working Paper No. 1482
Publisher: 
Queen's University, Department of Economics, Kingston (Ontario)
Abstract: 
As I document using evidence from a journal data repository that I manage, the datasets used in empirical work are getting larger. When we use very large datasets, it can be dangerous to rely on standard methods for statistical inference. In addition, we need to worry about computational issues. We must be careful in our choice of statistical methods and the algorithms used to implement them.
Subjects: 
datasets
clustered data
statistical computation
statistical inference
bootstrap
JEL: 
C10
C12
C13
C55
Document Type: 
Working Paper

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