Using large samples in econometrics

James G. MacKinnon

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.

MoreLess

Year of publication:	2-2022
Authors:	MacKinnon, James G.
Publisher:	Kingston, Ontario, Canada : Department of Economics, Queen's University
Subject:	datasets \| clustered data \| statistical computation \| statistical inference \| bootstrap \| Ökonometrie \| Econometrics \| Bootstrap-Verfahren \| Bootstrap approach \| Induktive Statistik \| Statistical inference \| Statistische Methodenlehre \| Statistical theory \| Clusteranalyse \| Cluster analysis \| Stichprobenerhebung \| Sampling \| Schätztheorie \| Estimation theory \| Statistische Methode \| Statistical method