James G. MacKinnon

James G. MacKinnon

Queens University

H-index: 63

Asia-Bangladesh

About James G. MacKinnon

James G. MacKinnon, With an exceptional h-index of 63 and a recent h-index of 32 (since 2020), a distinguished researcher at Queens University, specializes in the field of Econometrics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Cluster-Robust Jackknife and Bootstrap Inference for Binary Response Models

Cluster-robust inference: A guide to empirical practice

Fast and reliable jackknife and bootstrap methods for cluster‐robust inference

Using large samples in econometrics

Testing for the appropriate level of clustering in linear regression models

summclust: Stata module to compute cluster level measures of leverage, influence, and a cluster jackknife variance estimator

Leverage, influence, and the jackknife in clustered regression models: Reliable inference using summclust

Fast cluster bootstrap methods for linear regression models

James G. MacKinnon Information

University

Position

Sir Edward Peacock Professor of Econometrics

Citations(all)

46271

Citations(since 2020)

9647

Cited By

39362

hIndex(all)

63

hIndex(since 2020)

32

i10Index(all)

111

i10Index(since 2020)

62

Email

University Profile Page

Queens University

Google Scholar

View Google Scholar Profile

James G. MacKinnon Skills & Research Interests

Econometrics

Top articles of James G. MacKinnon

Title

Journal

Author(s)

Publication Date

Cluster-Robust Jackknife and Bootstrap Inference for Binary Response Models

James G MacKinnon

Morten Ørregaard Nielsen

Matthew D Webb

2024/1/15

Cluster-robust inference: A guide to empirical practice

Journal of Econometrics

James G MacKinnon

Morten Ørregaard Nielsen

Matthew D Webb

2023/2/1

Fast and reliable jackknife and bootstrap methods for cluster‐robust inference

Journal of Applied Econometrics

James G MacKinnon

Morten Ørregaard Nielsen

Matthew D Webb

2023/8

Using large samples in econometrics

Journal of Econometrics

James G MacKinnon

2023/8/1

Testing for the appropriate level of clustering in linear regression models

Journal of Econometrics

James G MacKinnon

Morten Ørregaard Nielsen

Matthew D Webb

2023/4/10

summclust: Stata module to compute cluster level measures of leverage, influence, and a cluster jackknife variance estimator

James MacKinnon

Morten Nielsen

Matthew Webb

2022/5/7

Leverage, influence, and the jackknife in clustered regression models: Reliable inference using summclust

James G MacKinnon

Morten à Nielsen

Matthew D Webb

2022/5

Fast cluster bootstrap methods for linear regression models

Econometrics and Statistics

James G MacKinnon

2023/4/1

Featured Cover

Chirality

Gerardo Salinas

Serena Arnaboldi

Giorgia Bonetti

Roberto Cirilli

Tiziana Benincori

...

2021/12/1

Acknowledgment to Reviewers of Econometrics in 2021

Aaron K Hoshide

Daniel Francois Meyer

Abdelmonaem Jornaz

Daniela Cialfi

Abiola Ayopo Babajide

...

2022

Wild bootstrap and asymptotic inference with multiway clustering

Journal of Business & Economic Statistics

James G MacKinnon

Morten Ørregaard Nielsen

Matthew D Webb

2021/3/20

Randomization inference for difference-in-differences with few treated clusters

Journal of Econometrics

James G MacKinnon

Matthew D Webb

2020/5/5

Clustering methods for statistical inference

James G MacKinnon

Matthew D Webb

2020

See List of Professors in James G. MacKinnon University(Queens University)

Co-Authors

H-index: 66
Richard Arnott

Richard Arnott

University of California, Riverside

H-index: 49
Russell Davidson

Russell Davidson

McGill University

H-index: 43
Jeffrey S. Racine

Jeffrey S. Racine

McMaster University

H-index: 41
Richard G. Harris

Richard G. Harris

Simon Fraser University

H-index: 32
Mark Gersovitz

Mark Gersovitz

Johns Hopkins University

H-index: 31
Alfred A. Haug

Alfred A. Haug

University of Otago

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