Professor James MacKinnon
Welcome to my professional home page!
My e-mail address is mackinno [AT] queensu.ca
This year I am teaching
ECON 850 in the fall
and ECON 882 in the winter.
Thanks to an agreement with
Oxford University Press, both
Estimation and Inference in Econometrics and
Econometric Theory and Methods
may be downloaded as PDF files.
I have been at Queen's since 1975, where I am at present the
Sir
Edward Peacock Professor of Econometrics.
From June, 2001 until June, 2002, I was the President of the
Canadian Economics Association.
I gave the
Presidential Address at the
University of
Calgary on June 1, 2002. As President-Elect, I organized the
2001 Annual Meeting of the CEA, which was
held at McGill University in Montreal from May 31 to June 3, 2001.
Morten Nielsen and I organized the twenty-ninth meeting of the
Canadian Econometric
Study Group on October 26-28, 2012. This was the third meeting
to be held at Queen's. I also organized the fourteenth meeting of the
CESG, which was held in Kingston on September 26-28, 1997. Charles
Beach and I organized the very first CESG meeting in 1984.
My curriculum vitae is available as a PDF file.
My profile on RePEc
contains links to many of my papers, including older papers not linked to on
this page.
My
Google Scholar profile contains a much more
complete list of papers and citations.
Here is a subset of my publications. Older papers are included only
if there is supplementary material here.
- James G. MacKinnon, "Approximate asymptotic distribution functions
for unit-root and cointegration tests," Journal of Business and
Economic Statistics, 12, 1994, 167-176.
Get the
working paper version. Get the
published version.
(Get the program for computing P values.)
- James G. MacKinnon, "Numerical distribution functions for unit root
and cointegration tests," Journal of Applied
Econometrics, 11, 1996, 601-618.
Get the
working paper version. Get the
published version.
Get the programs and files of response
surface coefficients for this paper.
- Russell Davidson and James G. MacKinnon, "Bootstrap testing in
nonlinear models," International Economic Review, 40, 1999, 487-508.
Go to the RePEc page for the
working paper version.
Go to the RePEc page for the
published version.
Some of the Fortran routines used in the simulation
experiments may be obtained by clicking here.
- James G. MacKinnon, Alfred A. Haug, and Leo Michelis, "Numerical
distribution functions of likelihood ratio tests for cointegration,"
Journal of Applied Econometrics, 14, 1999, 563-577.
Go to the RePEc page for the
working paper
version.
Go to the RePEc page for the
published version.
Get a revised
version of the working paper.
The programs and files of response surface coefficients
for this paper may be obtained here.
- James G. MacKinnon, "Computing numerical distribution functions in
econometrics," in High Performance Computing Systems and Applications,
ed. A. Pollard, D. Mewhort, and D. Weaver, Amsterdam, Kluwer, 2000, 455-470.
Get the
working paper version.
The programs and files of response surface coefficients
for this paper may be obtained here.
- Russell Davidson and James G. MacKinnon, "Artificial regressions,"
Chapter 1 of Companion to Theoretical Econometrics, ed. B. Baltagi,
Oxford, Blackwell, 2001, 16-37. Go to the RePEc page for the
working paper version.
- Neil R. Ericsson and James G. MacKinnon, "Distributions of error
correction tests for cointegration," The Econometrics Journal,
5, 2002, 285-318.
Get the working paper version.
Get the
published version.
The programs and files of response surface
coefficients for this paper may be obtained here.
- Russell Davidson and James G. MacKinnon, "The case against JIVE," (with
discussion and reply), Journal of Applied Econometrics, 21, 2006,
827-833.
Get the published version.
Or get the
working paper,
the reply, and
the figures.
- Russell Davidson and James G. MacKinnon, "Bootstrap methods in
econometrics," Chapter 23 in Palgrave Handbooks of Econometrics:
Volume 1 Econometric Theory, edited by
T. C. Mills and K. D. Patterson, Basingstoke, Palgrave Macmillan,
2006, 812-838. Get the paper.
- James G. MacKinnon, "Bootstrap hypothesis testing," in
Handbook of Computational Econometrics, ed. David A. Belsley and John
Kontoghiorghes, Chichester, Wiley, 2009, 183--213.
Get the
working paper version.
- Russell Davidson and James G. MacKinnon, "Wild bootstrap tests for IV
regression," Journal of Business and Economic Statistics,
28, 2010, 128-144.
Get the working paper version.
Get the published version.
- James G. MacKinnon, "Thirty years of heteroskedasticity-robust
inference," in Recent Advances and
Future Directions in Causality, Prediction, and Specification
Analysis, ed. Xaiohong Chen and Norman R. Swanson,
New York, Springer, 2013, 437-461.
Get the working
paper version.
- James G. MacKinnon and Morten Ø. Nielsen, "Numerical
distribution functions of fractional unit root and cointegration
tests," Journal of Applied Econometrics, 29, 2014, 161-171.
Get the paper
here. Get programs and tables
here.
- Russell Davidson and James G. MacKinnon, "Confidence sets based
on inverting Anderson-Rubin tests," The Econometrics Journal,
17, 2014, S39-S58.
Get the working
paper version.
- Russell Davidson and James G. MacKinnon, "Bootstrap confidence sets
with weak instruments," Econometric Reviews, 33, 2014, 651-675.
Get the working
paper version.
- Russell Davidson and James G. MacKinnon, "Bootstrap tests for
overidentification in linear regression models," Econometrics,
3, 2015, 825-863.
Get the open-source published version.
- James G. MacKinnon, "Wild cluster bootstrap confidence intervals,"
L'Actualité Économique, 91, 2015, 11-33.
Get the working
paper version.
- James G. MacKinnon, "Inference with large clustered datasets,"
L'Actualité Économique, 92, 2016, 649-665.
Get the
working paper version.
- James G. MacKinnon and Matthew D. Webb, "Wild bootstrap
inference for wildly different cluster sizes", Journal of Applied
Econometrics, 32, 2017, 233-254.
Get the
working paper version.
Get the published version.
- James G. MacKinnon and Matthew D. Webb, "Pitfalls when estimating
treatment effects using clustered data," The Political
Methodologist, 24, 2017, 20-31. Get the complete issue.
Get the working
paper version.
- James G. MacKinnon and Matthew D. Webb, "The wild
bootstrap for few (treated) clusters," The Econometrics
Journal, 21, 2018, 114-135.
Get the working
paper.
- David Roodman, James G. MacKinnon, Morten Ø Nielsen, and
Matthew D. Webb, "Fast and wild: Bootstrap inference in Stata using boottest,"
The Stata Journal, 19, 2019, 4-60.
Get the working
paper.
Get the published version.
- James G. MacKinnon and Matthew D. Webb, "Wild bootstrap
randomization inference for few treated clusters," in The
Econometrics of Complex Survey Data: Theory and Applications, ed.
Kim P. Huynh, David Tomás Jacho-Chávez, and Gautam
Tripathi, Vol. 39 of Advances in Econometrics, Emerald Group,
2019, 61-85.
Get the working paper.
- James G. MacKinnon, "How cluster-robust inference is changing
applied econometrics," Canadian Journal of Economics, 52, 2019,
851-881.
Get the working paper.
- Antoine Djogbenou, James G. MacKinnon, and Morten Ø. Nielsen,
"Asymptotic theory and wild bootstrap inference with clustered errors,"
Journal of Econometrics, 212, 2019, 393-412.
Get the working paper.
Get the published version.
- James G. MacKinnon and Matthew D. Webb, "Randomization inference
for difference-in-differences with few treated clusters," Journal of
Econometrics, 218, 2020, 435-450 Get the working
paper.
Get the published version.
- James G. MacKinnon and Matthew D. Webb,
Clustering methods for statistical
inference,'' in Handbook of Labor, Human Resources and Population
Economics, ed. Klaus F. Zimmerman, Cham, Switzerland, Springer, 2020.
The working
paper has a different title and may be found here.
- James G. MacKinnon, Morten Ø. Nielsen, and Matthew D. Webb,
"Wild bootstrap and asymptotic inference with multiway clustering,"
Journal of Business and Economic Statistics, 39, 2021, 505-519.
Get the working paper.
Get the published version.
- James G. MacKinnon, "Fast cluster bootstrap methods for linear
regression models," Econometrics and Statistics, 26, 2023,
52-71.
Get the working paper.
Get the
published version.
- James G. MacKinnon, Morten Ø. Nielsen, and Matthew D. Webb,
"Cluster-robust inference: A guide to empirical practice",
Journal of Econometrics, 232, 2023, 272-299.
Get the working paper.. It contains fewer mistakes than the
published version.
Get the published version.
Get the programs and datasets for the empirical examples.
- James G. MacKinnon, Morten Ø. Nielsen, and Matthew D. Webb,
"Fast and reliable jackknife and bootstrap methods for cluster-robust
inference," Journal of Applied Econometrics, 2023, forthcoming.
Get the working paper.
Get the programs and datasets for the empirical examples.
- James G. MacKinnon, "Using large samples in econometrics,"
Journal of Econometrics, 235, 2023, 922-926.
Get the working paper.
- James G. MacKinnon, Morten Ø. Nielsen, and Matthew D. Webb,
"Testing for the appropriate level of clustering in linear regression models,"
Journal of Econometrics, 235, 2023, 2027-2056.
Get the published version.
Get the working paper.
Some recent and unpublished working papers:
- James G. MacKinnon, "Applications of the fast double bootstrap,"
QED Working Paper No. 1023, 2006.
Get the paper.
- James G. MacKinnon, "Critical values for cointegration tests," QED
Working Paper No. 1227, 2010. This is an updated version of my 1990 UCSD
discussion paper and 1991 book chapter. Three new tables
contain critical values that are more accurate and cover more cases than the
single table in the original version.
Get the paper.
- James G. MacKinnon and Matthew D. Webb,
"When and how to deal with clustered errors in regression models,"
Working Paper No. 1421, 2019. Get the paper.
- James G. MacKinnon, Morten Ø. Nielsen, and Matthew D. Webb,
"Leverage, influence, and the jackknife in clustered regression
models: Reliable inference using summclust,"
QED Working Paper No. 1483, 2022
Get the working paper.
Backups of Working Papers:
Backup copies of some recent working papers
are available here . If other download
methods fail, try this.
Books:
Russell Davidson and James G. MacKinnon, Estimation and Inference
in Econometrics, Oxford University Press, New York, 1993, 874 pages.
As of September 2021,
a PDF version may be freely downloaded.
Russell Davidson and James G. MacKinnon, Econometric
Theory and Methods, Oxford University Press, New York, 2004, 750 pages.
As of September 2021,
a PDF version may be freely downloaded.
Corrections, datasets, and solutions are also available.
Here are some links to home pages of a few other econometricians.
If you belong on this list and want to join,
please send me a note.
My phone number is 613 533-2293
My FAX number is 613 533-6668
My e-mail address is mackinno [AT] queensu.ca
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