Antoine Alex Djogbenou
Personal Details
First Name: | Antoine |
Middle Name: | Alex |
Last Name: | Djogbenou |
Suffix: | |
RePEc Short-ID: | pdj35 |
[This author has chosen not to make the email address public] | |
https://sites.google.com/site/djogbenouantoine/ | |
Affiliation
Department of Economics
York University
Toronto, Canadahttp://econ.laps.yorku.ca/
RePEc:edi:dyorkca (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Antoine Djogbenou & Christian Gourieroux & Joann Jasiak & Paul Rilstone, 2022.
"An econometric panel data model of the COVID-19 pandemic,"
Post-Print
hal-03641783, HAL.
- Antoine Djogbenou & Christian Gouriéroux & Joann Jasiak & Paul Rilstone, 2022. "An Econometric Panel Data Model of the COVID-19 Pandemic," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 11(1), pages 1-3.
- Antoine Djogbenou & Razvan Sufana, 2021.
"Tests for Group-Specific Heterogeneity in High-Dimensional Factor Models,"
Papers
2109.09049, arXiv.org, revised Feb 2022.
- Djogbenou, Antoine & Sufana, Razvan, 2024. "Tests for group-specific heterogeneity in high-dimensional factor models," Journal of Multivariate Analysis, Elsevier, vol. 199(C).
- Antoine Djogbenou & Christian Gouri'eroux & Joann Jasiak & Maygol Bandehali, 2021. "Composite Likelihood for Stochastic Migration Model with Unobserved Factor," Papers 2109.09043, arXiv.org, revised Nov 2023.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2019.
"Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors,"
CREATES Research Papers
2019-05, Department of Economics and Business Economics, Aarhus University.
- Djogbenou, Antoine A. & MacKinnon, James G. & Nielsen, Morten Ørregaard, 2019. "Asymptotic theory and wild bootstrap inference with clustered errors," Journal of Econometrics, Elsevier, vol. 212(2), pages 393-412.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ø. Nielsen, 2018. "Asymptotic Theory And Wild Bootstrap Inference With Clustered Errors," Working Paper 1399, Economics Department, Queen's University.
- Antoine A. Djogbenou, 2018.
"Comovements In The Real Activity Of Developed And Emerging Economies: A Test Of Global Versus Specific International Factors,"
Working Paper
1392, Economics Department, Queen's University.
- Antoine A. Djogbenou, 2020. "Comovements in the real activity of developed and emerging economies: A test of global versus specific international factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(3), pages 344-370, April.
- Antoine A. Djogbenou, 2017.
"Model Selection In Factor-augmented Regressions With Estimated Factors,"
Working Paper
1391, Economics Department, Queen's University.
- Antoine A. Djogbenou, 2021. "Model selection in factor-augmented regressions with estimated factors," Econometric Reviews, Taylor & Francis Journals, vol. 40(5), pages 470-503, April.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ø. Nielsen, 2017. "Validity Of Wild Bootstrap Inference With Clustered Errors," Working Paper 1383, Economics Department, Queen's University.
- Silvia Gonçalves & Benoit Perron & Antoine Djogbenou, 2016.
"Bootstrap prediction intervals for factor models,"
CIRANO Working Papers
2016s-19, CIRANO.
- Sílvia Gonçalves & Benoit Perron & Antoine Djogbenou, 2017. "Bootstrap Prediction Intervals for Factor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 53-69, January.
- Antoine Djogbenou & Silvia Gonçalves & Benoit Perron, 2015.
"Bootstrap inference in regressions with estimated factors and serial correlation,"
CIRANO Working Papers
2015s-20, CIRANO.
repec:ags:quedwp:274718 is not listed on IDEAS
repec:ags:quedwp:274717 is not listed on IDEAS
repec:ags:quedwp:274709 is not listed on IDEAS
repec:ags:quedwp:274725 is not listed on IDEAS
Articles
- Antoine A. Djogbenou, 2024. "Identifying oil price shocks with global, developed, and emerging latent real economy activity factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 128-149, January.
- Djogbenou, Antoine & Sufana, Razvan, 2024.
"Tests for group-specific heterogeneity in high-dimensional factor models,"
Journal of Multivariate Analysis, Elsevier, vol. 199(C).
- Antoine Djogbenou & Razvan Sufana, 2021. "Tests for Group-Specific Heterogeneity in High-Dimensional Factor Models," Papers 2109.09049, arXiv.org, revised Feb 2022.
- Djogbenou, Antoine & Inan, Emre & Jasiak, Joann, 2023.
"Time-varying coefficient DAR model and stability measures for stablecoin prices: An application to Tether,"
Journal of International Money and Finance, Elsevier, vol. 139(C).
- Antoine Djobenou & Emre Inan & Joann Jasiak, 2023. "Time-Varying Coefficient DAR Model and Stability Measures for Stablecoin Prices: An Application to Tether," Papers 2301.00509, arXiv.org.
- C Gourieroux & A Djogbenou & J Jasiak, 2022. "Testing for Endogeneity of Covid-19 Patient Assignments [The Value of Life and Health for Public Policy]," Journal of Financial Econometrics, Oxford University Press, vol. 20(5), pages 875-901.
- Antoine Djogbenou & Christian Gourieroux & Joann Jasiak & Paul Rilstone & Maygol Bandehali, 2022. "Transition model for coronavirus management," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 665-704, February.
- Antoine Djogbenou & Christian Gouriéroux & Joann Jasiak & Paul Rilstone, 2022.
"An Econometric Panel Data Model of the COVID-19 Pandemic,"
Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 11(1), pages 1-3.
- Antoine Djogbenou & Christian Gourieroux & Joann Jasiak & Paul Rilstone, 2022. "An econometric panel data model of the COVID-19 pandemic," Post-Print hal-03641783, HAL.
- Antoine A. Djogbenou, 2021.
"Model selection in factor-augmented regressions with estimated factors,"
Econometric Reviews, Taylor & Francis Journals, vol. 40(5), pages 470-503, April.
- Antoine A. Djogbenou, 2017. "Model Selection In Factor-augmented Regressions With Estimated Factors," Working Paper 1391, Economics Department, Queen's University.
- Antoine A. Djogbenou, 2020.
"Comovements in the real activity of developed and emerging economies: A test of global versus specific international factors,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(3), pages 344-370, April.
- Antoine A. Djogbenou, 2018. "Comovements In The Real Activity Of Developed And Emerging Economies: A Test Of Global Versus Specific International Factors," Working Paper 1392, Economics Department, Queen's University.
- Djogbenou, Antoine A. & MacKinnon, James G. & Nielsen, Morten Ørregaard, 2019.
"Asymptotic theory and wild bootstrap inference with clustered errors,"
Journal of Econometrics, Elsevier, vol. 212(2), pages 393-412.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ø. Nielsen, 2018. "Asymptotic Theory And Wild Bootstrap Inference With Clustered Errors," Working Paper 1399, Economics Department, Queen's University.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2019. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," CREATES Research Papers 2019-05, Department of Economics and Business Economics, Aarhus University.
- Sílvia Gonçalves & Benoit Perron & Antoine Djogbenou, 2017.
"Bootstrap Prediction Intervals for Factor Models,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 53-69, January.
- Silvia Gonçalves & Benoit Perron & Antoine Djogbenou, 2016. "Bootstrap prediction intervals for factor models," CIRANO Working Papers 2016s-19, CIRANO.
- Giuseppe Cavaliere & Dimitris N. Politis & Anders Rahbek & Antoine Djogbenou & Sílvia Gonçalves & Benoit Perron, 2015. "Recent developments in bootstrap methods for dependent data," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(3), pages 481-502, May.
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2019.
"Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors,"
CREATES Research Papers
2019-05, Department of Economics and Business Economics, Aarhus University.
- Djogbenou, Antoine A. & MacKinnon, James G. & Nielsen, Morten Ørregaard, 2019. "Asymptotic theory and wild bootstrap inference with clustered errors," Journal of Econometrics, Elsevier, vol. 212(2), pages 393-412.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ø. Nielsen, 2018. "Asymptotic Theory And Wild Bootstrap Inference With Clustered Errors," Working Paper 1399, Economics Department, Queen's University.
Cited by:
- James G. MacKinnon & Matthew D. Webb, 2019.
"Randomization Inference For Difference-in-differences With Few Treated Clusters,"
Working Paper
1355, Economics Department, Queen's University.
- MacKinnon, James G. & Webb, Matthew D., 2020. "Randomization inference for difference-in-differences with few treated clusters," Journal of Econometrics, Elsevier, vol. 218(2), pages 435-450.
- James G. MacKinnon & Matthew D. Webb, 2016. "Randomization Inference for Difference-in-Differences with Few Treated Clusters," Carleton Economic Papers 16-11, Carleton University, Department of Economics.
- Alexander Klein & Guy Tchuente, 2024. "Spatial differencing for sample selection models with ‘site-specific’ unobserved local effects," The Econometrics Journal, Royal Economic Society, vol. 27(2), pages 235-257.
- Timothy G. Conley & Sílvia Gonçalves & Min Seong Kim & Benoit Perron, 2023.
"Bootstrap inference under cross‐sectional dependence,"
Quantitative Economics, Econometric Society, vol. 14(2), pages 511-569, May.
- Timothy Conley & Sílvia Gonçalves & Min Seong Kim & Benoit Perron, 2022. "Bootstrap Inference Under Cross Sectional Dependence," Working papers 2022-14, University of Connecticut, Department of Economics.
- Doko Tchatoka, Firmin & Wang, Wenjie, 2021. "Size-corrected Bootstrap Test after Pretesting for Exogeneity with Heteroskedastic or Clustered Data," MPRA Paper 110899, University Library of Munich, Germany.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2024.
"Cluster-Robust Jackknife and Bootstrap Inference for Binary Response Models,"
Working Paper
1515, Economics Department, Queen's University.
- James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2024. "Cluster-robust jackknife and bootstrap inference for binary response models," Papers 2406.00650, arXiv.org.
- James G. MacKinnon, 2021.
"Fast cluster bootstrap methods for linear regression models,"
Working Paper
1465, Economics Department, Queen's University.
- MacKinnon, James G., 2023. "Fast cluster bootstrap methods for linear regression models," Econometrics and Statistics, Elsevier, vol. 26(C), pages 52-71.
- Bruce E. Hansen & Seojeong Lee, 2019.
"Asymptotic Theory for Clustered Samples,"
Papers
1902.01497, arXiv.org.
- Bruce E. Hansen & Seojeong Jay Lee, 2017. "Asymptotic Theory for Clustered Samples," Discussion Papers 2017-18, School of Economics, The University of New South Wales.
- Hansen, Bruce E. & Lee, Seojeong, 2019. "Asymptotic theory for clustered samples," Journal of Econometrics, Elsevier, vol. 210(2), pages 268-290.
- Markus Leibrecht & Christian Bellak, 2023. "Investment policy reform as a driver of foreign direct investment: Evidence from China," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(4), pages 1035-1053, October.
- Bharati, Tushar & Chang, Simon & Li, Qing, 2023. "Does tertiary education expansion affect the fertility of women past the college-entry age?," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 1029-1055.
- Binz, Oliver & Mayew, William J. & Nallareddy, Suresh, 2022. "Firms’ response to macroeconomic estimation errors," Journal of Accounting and Economics, Elsevier, vol. 73(2).
- Bellak, Christian & Leibrecht, Markus & Chaisse, Julien, 2022. "Reforming International Investment Agreements," Department of Economics Working Paper Series 328, WU Vienna University of Economics and Business.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023.
"Leverage, influence, and the jackknife in clustered regression models: Reliable inference using summclust,"
Stata Journal, StataCorp LP, vol. 23(4), pages 942-982, December.
- James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust," Papers 2205.03288, arXiv.org, revised Nov 2023.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust," Working Paper 1483, Economics Department, Queen's University.
- Dario Tortarolo & Guillermo Cruces & Gonzalo Vazquez-Bare, 2023.
"Design of partial population experiments with an application to spillovers in tax compliance,"
IFS Working Papers
W23/17, Institute for Fiscal Studies.
- Guillermo Cruces & Dario Tortarolo & Gonzalo Vazquez-Bare, 2024. "Design of Partial Population Experiments with an Application to Spillovers in Tax Compliance," CEDLAS, Working Papers 0337, CEDLAS, Universidad Nacional de La Plata.
- Cruces, Guillermo & Tortarolo, Dario & Vazquez-Bare, Gonzalo, 2024. "Design of Partial Population Experiments with an Application to Spillovers in Tax Compliance," IZA Discussion Papers 17256, Institute of Labor Economics (IZA).
- Gerling, Lena & Kellermann, Kim Leonie, 2019. "The impact of election information shocks on populist party preferences: Evidence from Germany," CIW Discussion Papers 3/2019, University of Münster, Center for Interdisciplinary Economics (CIW).
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2024.
"Jackknife Inference with Two-Way Clustering,"
Working Paper
1516, Economics Department, Queen's University.
- James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2024. "Jackknife inference with two-way clustering," Papers 2406.08880, arXiv.org.
- Matthew D. Webb, 2014.
"Reworking Wild Bootstrap Based Inference For Clustered Errors,"
Working Paper
1315, Economics Department, Queen's University.
- Matthew D. Webb, 2023. "Reworking wild bootstrap‐based inference for clustered errors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(3), pages 839-858, August.
- Yuya Sasaki & Yulong Wang, 2022. "Non-Robustness of the Cluster-Robust Inference: with a Proposal of a New Robust Method," Papers 2210.16991, arXiv.org, revised Dec 2022.
- Tom Boot & Gianmaria Niccodemi & Tom Wansbeek, 2023. "Unbiased estimation of the OLS covariance matrix when the errors are clustered," Empirical Economics, Springer, vol. 64(6), pages 2511-2533, June.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022.
"Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference,"
Working Paper
1485, Economics Department, Queen's University.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Fast and reliable jackknife and bootstrap methods for cluster‐robust inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 671-694, August.
- James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2023. "Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference," Papers 2301.04527, arXiv.org, revised Feb 2023.
- Wang, Wenjie & Zhang, Yichong, 2024. "Wild bootstrap inference for instrumental variables regressions with weak and few clusters," Journal of Econometrics, Elsevier, vol. 241(1).
- McKibbin, Rebecca, 2023. "The effect of RCTs on drug demand: Evidence from off-label cancer drugs," Journal of Health Economics, Elsevier, vol. 90(C).
- Christian Bellak & Markus Leibrecht & Julien Chaisse, 2022. "Reforming International Investment Agreements: The Case of China and Foreign Direct Investment," Department of Economics Working Papers wuwp328, Vienna University of Economics and Business, Department of Economics.
- Sander Lammers & Massimo Giuliodori & Robert Schmitz & Adam Elbourne, 2023. "Bank Funding, SME lending and Risk Taking," CPB Discussion Paper 447, CPB Netherlands Bureau for Economic Policy Analysis.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2020.
"Wild Bootstrap and Asymptotic Inference with Multiway Clustering,"
CREATES Research Papers
2020-06, Department of Economics and Business Economics, Aarhus University.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2021. "Wild Bootstrap and Asymptotic Inference With Multiway Clustering," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 505-519, March.
- James G. MacKinnon & Morten Ø. Nielsen & Matthew D. Webb, 2019. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," Working Paper 1415, Economics Department, Queen's University.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2019.
"Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors,"
CREATES Research Papers
2019-05, Department of Economics and Business Economics, Aarhus University.
- Djogbenou, Antoine A. & MacKinnon, James G. & Nielsen, Morten Ørregaard, 2019. "Asymptotic theory and wild bootstrap inference with clustered errors," Journal of Econometrics, Elsevier, vol. 212(2), pages 393-412.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ø. Nielsen, 2018. "Asymptotic Theory And Wild Bootstrap Inference With Clustered Errors," Working Paper 1399, Economics Department, Queen's University.
- James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022.
"Cluster-Robust Inference: A Guide to Empirical Practice,"
Papers
2205.03285, arXiv.org.
- James MacKinnon & Morten Ørregaard Nielsen, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," CREATES Research Papers 2022-08, Department of Economics and Business Economics, Aarhus University.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Working Paper 1456, Economics Department, Queen's University.
- Matthew D. Webb & James MacKinnon & Morten Nielsen, 2021. "Cluster–robust inference: A guide to empirical practice," Economics Virtual Symposium 2021 6, Stata Users Group.
- MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Cluster-robust inference: A guide to empirical practice," Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
- David Roodman & James G. MacKinnon & Matthew D. Webb & Morten Ø. Nielsen, 2018.
"Fast And Wild: Bootstrap Inference In Stata Using Boottest,"
Working Paper
1406, Economics Department, Queen's University.
- James G. MacKinnon & Morten Ørregaard Nielsen & David Roodman & Matthew D. Webb, 2018. "Fast and Wild: Bootstrap Inference in Stata Using boottest," CREATES Research Papers 2018-34, Department of Economics and Business Economics, Aarhus University.
- David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LP, vol. 19(1), pages 4-60, March.
- Philippe Kabore & Nicholas Rivers, 2020.
"Manufacturing Output and Extreme Temperature: Evidence from Canada,"
Working Papers
2006E, University of Ottawa, Department of Economics.
- Philippe Kabore & Nicholas Rivers, 2023. "Manufacturing output and extreme temperature: Evidence from Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(1), pages 191-224, February.
- Rho, Seunghwa & Vogelsang, Timothy J., 2021. "Inference in time series models using smoothed-clustered standard errors," Journal of Econometrics, Elsevier, vol. 224(1), pages 113-133.
- Adnan M. S. Fakir & Tushar Bharati, 2021. "Healthy, nudged, and wise: Experimental evidence on the role of cost reminders in healthy decision-making," Economics Discussion / Working Papers 21-13, The University of Western Australia, Department of Economics.
- Solórzano Diego & Dixon Huw, 2020. "The Relationship Between Nominal Wage and Price Flexibility: New Evidence," Working Papers 2020-20, Banco de México.
- Guillermo Cruces & Dario Tortarolo & Gonzalo Vazquez-Bare, 2022. "Design of two-stage experiments with an application to spillovers in tax compliance," IFS Working Papers W22/32, Institute for Fiscal Studies.
- Helfer, Fabienne & Grossmann, Volker & Osikominu, Aderonke, 2023.
"How Does Immigration Affect Housing Costs in Switzerland?,"
CEPR Discussion Papers
17966, C.E.P.R. Discussion Papers.
- Helfer, Fabienne & Grossmann, Volker & Osikominu, Aderonke, 2023. "How Does Immigration Affect Housing Costs in Switzerland?," IZA Discussion Papers 15958, Institute of Labor Economics (IZA).
- Fabienne Helfer & Volker Grossmann & Aderonke Osikominu, 2023. "How does immigration affect housing costs in Switzerland?," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-31, December.
- Luther Yap, 2023. "Asymptotic Theory for Two-Way Clustering," Papers 2301.03805, arXiv.org, revised Jun 2024.
- Johannes W. Ligtenberg, 2023. "Inference in IV models with clustered dependence, many instruments and weak identification," Papers 2306.08559, arXiv.org, revised Mar 2024.
- Kojevnikov, Denis & Song, Kyungchul, 2023. "Some impossibility results for inference with cluster dependence with large clusters," Journal of Econometrics, Elsevier, vol. 237(2).
- Andreas Hagemann, 2020. "Inference with a single treated cluster," Papers 2010.04076, arXiv.org.
- Harold D. Chiang & Jiatong Li & Yuya Sasaki, 2021. "Algorithmic subsampling under multiway clustering," Papers 2103.00557, arXiv.org, revised Oct 2022.
- James G. MacKinnon, 2022.
"Using Large Samples in Econometrics,"
Working Paper
1482, Economics Department, Queen's University.
- MacKinnon, James G., 2023. "Using large samples in econometrics," Journal of Econometrics, Elsevier, vol. 235(2), pages 922-926.
- Harold D. Chiang, 2018.
"Many Average Partial Effects: with An Application to Text Regression,"
Papers
1812.09397, arXiv.org, revised Jan 2022.
- Harold D. Chiang, 2019. "Many Average Partial Effects: with an Application to Text Regression," 2019 Papers pch1836, Job Market Papers.
- James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2023.
"Testing for the appropriate level of clustering in linear regression models,"
Papers
2301.04522, arXiv.org, revised Mar 2023.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Testing for the appropriate level of clustering in linear regression models," Working Paper 1428, Economics Department, Queen's University.
- MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Testing for the appropriate level of clustering in linear regression models," Journal of Econometrics, Elsevier, vol. 235(2), pages 2027-2056.
- Wang, Wenjie, 2021. "Wild Bootstrap for Instrumental Variables Regression with Weak Instruments and Few Clusters," MPRA Paper 106227, University Library of Munich, Germany.
- Wenjie Wang & Yichong Zhang, 2024. "Gradient Wild Bootstrap for Instrumental Variable Quantile Regressions with Weak and Few Clusters," Papers 2408.10686, arXiv.org.
- Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2018.
"The wild bootstrap with a "small" number of "large" clusters,"
CeMMAP working papers
CWP27/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2019. "The Wild Bootstrap with a Small Number of Large Clusters," CeMMAP working papers CWP40/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alexander Klein & Guy Tchuente, 2020. "Spatial Differencing for Sample Selection Models with Unobserved Heterogeneity," Papers 2009.06570, arXiv.org.
- Zach Raff & Andrew Meyer, 2022. "CAFOs and Surface Water Quality: Evidence from Wisconsin," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 161-189, January.
- James G. MacKinnon, 2019.
"How cluster-robust inference is changing applied econometrics,"
Working Paper
1413, Economics Department, Queen's University.
- James G. MacKinnon, 2019. "How cluster‐robust inference is changing applied econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(3), pages 851-881, August.
- James G. MacKinnon, 2019. "How cluster-robust inference is changing applied econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 52(3), pages 851-881, August.
- Andreas Hagemann, 2019. "Permutation inference with a finite number of heterogeneous clusters," Papers 1907.01049, arXiv.org, revised Feb 2023.
- Arjan Trinks & Erik Hille, 2023.
"Carbon costs and industrial firm performance: Evidence from international microdata,"
CPB Discussion Paper
445, CPB Netherlands Bureau for Economic Policy Analysis.
- Trinks, Arjan & Hille, Erik, 2023. "Carbon Costs and Industrial Firm Performance: Evidence from International Microdata," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277705, Verein für Socialpolitik / German Economic Association.
- Leila Agha & Soomi Kim & Danielle Li, 2020. "Insurance Design and Pharmaceutical Innovation," NBER Working Papers 27563, National Bureau of Economic Research, Inc.
- Hwang, Jungbin, 2021. "Simple and trustworthy cluster-robust GMM inference," Journal of Econometrics, Elsevier, vol. 222(2), pages 993-1023.
- Adnan M. S. Fakir & Tushar Bharati, 2022. "Healthy, nudged, and wise: Experimental evidence on the role of information salience in reducing tobacco intake," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 1129-1166, June.
- Wenjie Wang & Yichong Zhang, 2021. "Wild Bootstrap for Instrumental Variables Regressions with Weak and Few Clusters," Papers 2108.13707, arXiv.org, revised Jan 2024.
- Jianghao Chu & Tae-Hwy Lee & Aman Ullah & Haifeng Xu, 2020. "Exact Distribution of the F-statistic under Heteroskedasticity of Unknown Form for Improved Inference," Working Papers 202027, University of California at Riverside, Department of Economics.
- Mansfield, Jonathan & Slichter, David, 2021. "The Long-Run Effects of Consequential School Accountability," IZA Discussion Papers 14503, Institute of Labor Economics (IZA).
- Gradstein, Mark & Klemp, Marc, 2020. "Natural resource access and local economic growth," European Economic Review, Elsevier, vol. 127(C).
- James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
- Fabian Grünwald & Tom Stargardt, 2024. "Harmonizing regulatory market approval of products with high safety requirements: Evidence from the European pharmaceutical market," Health Economics, John Wiley & Sons, Ltd., vol. 33(7), pages 1546-1564, July.
- Li, Wenbo, 2023. "The effect of China's driving restrictions on air pollution: The role of a policy announcement without a stated expiration," Resource and Energy Economics, Elsevier, vol. 72(C).
- Elia Lapenta, 2022. "A Bootstrap Specification Test for Semiparametric Models with Generated Regressors," Papers 2212.11112, arXiv.org, revised Oct 2023.
- Antoine A. Djogbenou, 2018.
"Comovements In The Real Activity Of Developed And Emerging Economies: A Test Of Global Versus Specific International Factors,"
Working Paper
1392, Economics Department, Queen's University.
- Antoine A. Djogbenou, 2020. "Comovements in the real activity of developed and emerging economies: A test of global versus specific international factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(3), pages 344-370, April.
Cited by:
- Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2021.
"Expecting the unexpected: economic growth under stress,"
Working Papers
202106, University of California at Riverside, Department of Economics.
- Gloria González-Rivera & Carlos Vladimir Rodríguez-Caballero & Esther Ruiz Ortega, 2021. "Expecting the unexpected: economic growth under stress," CREATES Research Papers 2021-06, Department of Economics and Business Economics, Aarhus University.
- Gonzalez Rivera, Gloria & Rodríguez Caballero, Carlos Vladimir, 2021. "Expecting the unexpected: economic growth under stress," DES - Working Papers. Statistics and Econometrics. WS 32148, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Djogbenou, Antoine & Sufana, Razvan, 2024.
"Tests for group-specific heterogeneity in high-dimensional factor models,"
Journal of Multivariate Analysis, Elsevier, vol. 199(C).
- Antoine Djogbenou & Razvan Sufana, 2021. "Tests for Group-Specific Heterogeneity in High-Dimensional Factor Models," Papers 2109.09049, arXiv.org, revised Feb 2022.
- Javier Maldonado & Esther Ruiz, 2021. "Accurate Confidence Regions for Principal Components Factors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1432-1453, December.
- Antoine A. Djogbenou, 2024. "Identifying oil price shocks with global, developed, and emerging latent real economy activity factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 128-149, January.
- Antoine A. Djogbenou, 2017.
"Model Selection In Factor-augmented Regressions With Estimated Factors,"
Working Paper
1391, Economics Department, Queen's University.
- Antoine A. Djogbenou, 2021. "Model selection in factor-augmented regressions with estimated factors," Econometric Reviews, Taylor & Francis Journals, vol. 40(5), pages 470-503, April.
Cited by:
- Marine Carrasco & Barbara Rossi, 2016.
"In-sample inference and forecasting in misspecified factor models,"
Economics Working Papers
1530, Department of Economics and Business, Universitat Pompeu Fabra.
- Marine Carrasco & Barbara Rossi, 2016. "In-Sample Inference and Forecasting in Misspecified Factor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 313-338, July.
- Rossi, Barbara & Carrasco, Marine, 2016. "In-sample Inference and Forecasting in Misspecified Factor Models," CEPR Discussion Papers 11388, C.E.P.R. Discussion Papers.
- Chen, Qitong & Hong, Yongmiao & Li, Haiqi, 2024. "Time-varying forecast combination for factor-augmented regressions with smooth structural changes," Journal of Econometrics, Elsevier, vol. 240(1).
- Antoine A. Djogbenou, 2020.
"Comovements in the real activity of developed and emerging economies: A test of global versus specific international factors,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(3), pages 344-370, April.
- Antoine A. Djogbenou, 2018. "Comovements In The Real Activity Of Developed And Emerging Economies: A Test Of Global Versus Specific International Factors," Working Paper 1392, Economics Department, Queen's University.
- Djogbenou, Antoine & Sufana, Razvan, 2024.
"Tests for group-specific heterogeneity in high-dimensional factor models,"
Journal of Multivariate Analysis, Elsevier, vol. 199(C).
- Antoine Djogbenou & Razvan Sufana, 2021. "Tests for Group-Specific Heterogeneity in High-Dimensional Factor Models," Papers 2109.09049, arXiv.org, revised Feb 2022.
- Jack Fosten, 2016.
"Model selection with factors and variables,"
University of East Anglia School of Economics Working Paper Series
2016-07, School of Economics, University of East Anglia, Norwich, UK..
- Jack Fosten, 2017. "Model selection with estimated factors and idiosyncratic components," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(6), pages 1087-1106, September.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ø. Nielsen, 2017.
"Validity Of Wild Bootstrap Inference With Clustered Errors,"
Working Paper
1383, Economics Department, Queen's University.
Cited by:
- Timothy Conley & Silvia Gonçalves & Christian Hansen, 2018. "Inference with Dependent Data in Accounting and Finance Applications," Journal of Accounting Research, Wiley Blackwell, vol. 56(4), pages 1139-1203, September.
- James G. MacKinnon & Matthew D. Webb & Morten Ø. Nielsen, 2017. "Bootstrap And Asymptotic Inference With Multiway Clustering," Working Paper 1386, Economics Department, Queen's University.
- Antoine A. Djogbenou, 2020.
"Comovements in the real activity of developed and emerging economies: A test of global versus specific international factors,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(3), pages 344-370, April.
- Antoine A. Djogbenou, 2018. "Comovements In The Real Activity Of Developed And Emerging Economies: A Test Of Global Versus Specific International Factors," Working Paper 1392, Economics Department, Queen's University.
- Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2018.
"The wild bootstrap with a "small" number of "large" clusters,"
CeMMAP working papers
CWP27/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2019. "The Wild Bootstrap with a Small Number of Large Clusters," CeMMAP working papers CWP40/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Laurent Davezies & Xavier D'Haultfoeuille & Yannick Guyonvarch, 2018. "Asymptotic results under multiway clustering," Papers 1807.07925, arXiv.org, revised Aug 2018.
- Silvia Gonçalves & Benoit Perron & Antoine Djogbenou, 2016.
"Bootstrap prediction intervals for factor models,"
CIRANO Working Papers
2016s-19, CIRANO.
- Sílvia Gonçalves & Benoit Perron & Antoine Djogbenou, 2017. "Bootstrap Prediction Intervals for Factor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 53-69, January.
Cited by:
- Allayioti, Anastasia & Venditti, Fabrizio, 2024. "The role of comovement and time-varying dynamics in forecasting commodity prices," Working Paper Series 2901, European Central Bank.
- Cheng, Tingting & Gao, Jiti & Yan, Yayi, 2019.
"Regime switching panel data models with interactive fixed effects,"
Economics Letters, Elsevier, vol. 177(C), pages 47-51.
- Tingting Cheng & Jiti Gao & Yayi Yan, 2018. "Regime switching panel data models with interative fixed effects," Monash Econometrics and Business Statistics Working Papers 21/18, Monash University, Department of Econometrics and Business Statistics.
- Antoine Djogbenou & Silvia Gonçalves & Benoit Perron, 2015. "Bootstrap inference in regressions with estimated factors and serial correlation," CIRANO Working Papers 2015s-20, CIRANO.
- Patrick Gagliardini & Elisa Ossola & Olivier Scaillet, 2016.
"A diagnostic criterion for approximate factor structure,"
Papers
1612.04990, arXiv.org, revised Aug 2017.
- Patrick Gagliardini & Elisa Ossola & O. Scaillet, 2016. "A Diagnostic Criterion for Approximate Factor Structure," Swiss Finance Institute Research Paper Series 16-51, Swiss Finance Institute, revised Dec 2016.
- Gagliardini, Patrick & Ossola, Elisa & Scaillet, Olivier, 2019. "A diagnostic criterion for approximate factor structure," Journal of Econometrics, Elsevier, vol. 212(2), pages 503-521.
- GONÇALVES, Sílvia & PERRON, Benoit, 2018.
"Bootstrapping factor models with cross sectional dependence,"
Cahiers de recherche
2018-07, Universite de Montreal, Departement de sciences economiques.
- Gonçalves, Sílvia & Perron, Benoit, 2020. "Bootstrapping factor models with cross sectional dependence," Journal of Econometrics, Elsevier, vol. 218(2), pages 476-495.
- Sílvia GONÇALVES & Benoit PERRON, 2018. "Bootstrapping Factor Models With Cross Sectional Dependence," Cahiers de recherche 10-2018, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Knut Are Aastveit & Claudia Foroni & Francesco Ravazzolo, 2017.
"Density Forecasts With Midas Models,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 783-801, June.
- Knut Are Aastveit & Claudia Foroni & Francesco Ravazzolo, 2014. "Density forecasts with MIDAS models," Working Papers No 3/2014, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Knut Are Aastveit & Claudia Foroni & Francesco Ravazzolo, 2014. "Density forecasts with MIDAS models," Working Paper 2014/10, Norges Bank.
- Min Seong Kim, 2021. "Robust Inference for Diffusion-Index Forecasts with Cross-Sectionally Dependent Data," Working papers 2021-04, University of Connecticut, Department of Economics.
- YAMAMOTO, Yohei & 山本, 庸平, 2018.
"Identifying Factor-Augmented Vector Autoregression Models via Changes in Shock Variances,"
Discussion paper series
HIAS-E-72, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Yohei Yamamoto & Naoko Hara, 2022. "Identifying factor‐augmented vector autoregression models via changes in shock variances," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 722-745, June.
- Javier Maldonado & Esther Ruiz, 2021. "Accurate Confidence Regions for Principal Components Factors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1432-1453, December.
- Giuseppe Cavaliere & Dimitris N. Politis & Anders Rahbek & Antoine Djogbenou & Sílvia Gonçalves & Benoit Perron, 2015. "Recent developments in bootstrap methods for dependent data," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(3), pages 481-502, May.
- Michael W. McCracken & Serena Ng, 2021.
"FRED-QD: A Quarterly Database for Macroeconomic Research,"
Review, Federal Reserve Bank of St. Louis, vol. 103(1), pages 1-44, January.
- Michael W. McCracken & Serena Ng, 2020. "FRED-QD: A Quarterly Database for Macroeconomic Research," Working Papers 2020-005, Federal Reserve Bank of St. Louis.
- Michael McCracken & Serena Ng, 2020. "FRED-QD: A Quarterly Database for Macroeconomic Research," NBER Working Papers 26872, National Bureau of Economic Research, Inc.
- Hande Karabiyik & Joakim Westerlund, 2021. "Forecasting using cross-section average–augmented time series regressions," The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 315-333.
- Xingyu Li & Yan Shen & Qiankun Zhou, 2022.
"Confidence Intervals of Treatment Effects in Panel Data Models with Interactive Fixed Effects,"
Papers
2202.12078, arXiv.org.
- Li, Xingyu & Shen, Yan & Zhou, Qiankun, 2024. "Confidence intervals of treatment effects in panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 240(1).
- Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.
- Diego Fresoli & Pilar Poncela & Esther Ruiz, 2024. "Dealing with idiosyncratic cross-correlation when constructing confidence regions for PC factors," Papers 2407.06883, arXiv.org.
- Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2019. "Density Forecasting," BEMPS - Bozen Economics & Management Paper Series BEMPS59, Faculty of Economics and Management at the Free University of Bozen.
- Antoine Djogbenou & Silvia Gonçalves & Benoit Perron, 2015.
"Bootstrap inference in regressions with estimated factors and serial correlation,"
CIRANO Working Papers
2015s-20, CIRANO.
Cited by:
- Hounyo, Ulrich & Lahiri, Kajal, 2023.
"Estimating the variance of a combined forecast: Bootstrap-based approach,"
Journal of Econometrics, Elsevier, vol. 232(2), pages 445-468.
- Ulrich Hounyo & Kajal Lahiri, 2021. "Estimating the Variance of a Combined Forecast: Bootstrap-Based Approach," CREATES Research Papers 2021-14, Department of Economics and Business Economics, Aarhus University.
- Antoine A. Djogbenou, 2020.
"Comovements in the real activity of developed and emerging economies: A test of global versus specific international factors,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(3), pages 344-370, April.
- Antoine A. Djogbenou, 2018. "Comovements In The Real Activity Of Developed And Emerging Economies: A Test Of Global Versus Specific International Factors," Working Paper 1392, Economics Department, Queen's University.
- Stauskas, Ovidijus & De Vos, Ignace, 2024. "Handling Distinct Correlated Effects with CCE," MPRA Paper 120194, University Library of Munich, Germany.
- Sílvia Gonçalves & Benoit Perron & Antoine Djogbenou, 2017.
"Bootstrap Prediction Intervals for Factor Models,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 53-69, January.
- Silvia Gonçalves & Benoit Perron & Antoine Djogbenou, 2016. "Bootstrap prediction intervals for factor models," CIRANO Working Papers 2016s-19, CIRANO.
- GONÇALVES, Sílvia & PERRON, Benoit, 2018.
"Bootstrapping factor models with cross sectional dependence,"
Cahiers de recherche
2018-07, Universite de Montreal, Departement de sciences economiques.
- Gonçalves, Sílvia & Perron, Benoit, 2020. "Bootstrapping factor models with cross sectional dependence," Journal of Econometrics, Elsevier, vol. 218(2), pages 476-495.
- Sílvia GONÇALVES & Benoit PERRON, 2018. "Bootstrapping Factor Models With Cross Sectional Dependence," Cahiers de recherche 10-2018, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Antoine A. Djogbenou, 2021.
"Model selection in factor-augmented regressions with estimated factors,"
Econometric Reviews, Taylor & Francis Journals, vol. 40(5), pages 470-503, April.
- Antoine A. Djogbenou, 2017. "Model Selection In Factor-augmented Regressions With Estimated Factors," Working Paper 1391, Economics Department, Queen's University.
- Knut Are Aastveit & Claudia Foroni & Francesco Ravazzolo, 2017.
"Density Forecasts With Midas Models,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 783-801, June.
- Knut Are Aastveit & Claudia Foroni & Francesco Ravazzolo, 2014. "Density forecasts with MIDAS models," Working Papers No 3/2014, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Knut Are Aastveit & Claudia Foroni & Francesco Ravazzolo, 2014. "Density forecasts with MIDAS models," Working Paper 2014/10, Norges Bank.
- Djogbenou, Antoine & Sufana, Razvan, 2024.
"Tests for group-specific heterogeneity in high-dimensional factor models,"
Journal of Multivariate Analysis, Elsevier, vol. 199(C).
- Antoine Djogbenou & Razvan Sufana, 2021. "Tests for Group-Specific Heterogeneity in High-Dimensional Factor Models," Papers 2109.09049, arXiv.org, revised Feb 2022.
- YAMAMOTO, Yohei & 山本, 庸平, 2018.
"Identifying Factor-Augmented Vector Autoregression Models via Changes in Shock Variances,"
Discussion paper series
HIAS-E-72, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Yohei Yamamoto & Naoko Hara, 2022. "Identifying factor‐augmented vector autoregression models via changes in shock variances," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 722-745, June.
- Javier Maldonado & Esther Ruiz, 2021. "Accurate Confidence Regions for Principal Components Factors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1432-1453, December.
- Lixiong Yang, 2020. "State-dependent biases and the quality of China’s preliminary GDP announcements," Empirical Economics, Springer, vol. 59(6), pages 2663-2687, December.
- Fosten, Jack, 2017. "Confidence intervals in regressions with estimated factors and idiosyncratic components," Economics Letters, Elsevier, vol. 157(C), pages 71-74.
- De Vos, Ignace & Stauskas, Ovidijus, 2024. "Cross-section bootstrap for CCE regressions," Journal of Econometrics, Elsevier, vol. 240(1).
- Hande Karabiyik & Joakim Westerlund, 2021. "Forecasting using cross-section average–augmented time series regressions," The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 315-333.
- Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2019. "Density Forecasting," BEMPS - Bozen Economics & Management Paper Series BEMPS59, Faculty of Economics and Management at the Free University of Bozen.
- Hounyo, Ulrich & Lahiri, Kajal, 2023.
"Estimating the variance of a combined forecast: Bootstrap-based approach,"
Journal of Econometrics, Elsevier, vol. 232(2), pages 445-468.
Articles
- Antoine A. Djogbenou, 2021.
"Model selection in factor-augmented regressions with estimated factors,"
Econometric Reviews, Taylor & Francis Journals, vol. 40(5), pages 470-503, April.
See citations under working paper version above.
- Antoine A. Djogbenou, 2017. "Model Selection In Factor-augmented Regressions With Estimated Factors," Working Paper 1391, Economics Department, Queen's University.
- Antoine A. Djogbenou, 2020.
"Comovements in the real activity of developed and emerging economies: A test of global versus specific international factors,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(3), pages 344-370, April.
See citations under working paper version above.
- Antoine A. Djogbenou, 2018. "Comovements In The Real Activity Of Developed And Emerging Economies: A Test Of Global Versus Specific International Factors," Working Paper 1392, Economics Department, Queen's University.
- Djogbenou, Antoine A. & MacKinnon, James G. & Nielsen, Morten Ørregaard, 2019.
"Asymptotic theory and wild bootstrap inference with clustered errors,"
Journal of Econometrics, Elsevier, vol. 212(2), pages 393-412.
See citations under working paper version above.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ø. Nielsen, 2018. "Asymptotic Theory And Wild Bootstrap Inference With Clustered Errors," Working Paper 1399, Economics Department, Queen's University.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2019. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," CREATES Research Papers 2019-05, Department of Economics and Business Economics, Aarhus University.
- Sílvia Gonçalves & Benoit Perron & Antoine Djogbenou, 2017.
"Bootstrap Prediction Intervals for Factor Models,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 53-69, January.
See citations under working paper version above.Sorry, no citations of articles recorded.
- Silvia Gonçalves & Benoit Perron & Antoine Djogbenou, 2016. "Bootstrap prediction intervals for factor models," CIRANO Working Papers 2016s-19, CIRANO.
More information
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NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 10 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-ECM: Econometrics (9) 2015-06-20 2016-04-16 2017-06-18 2017-11-05 2017-11-05 2018-03-12 2018-09-10 2021-09-27 2021-09-27. Author is listed
- NEP-FOR: Forecasting (4) 2015-06-20 2016-04-16 2017-11-05 2018-09-10. Author is listed
- NEP-ISF: Islamic Finance (2) 2021-09-27 2021-09-27
- NEP-ORE: Operations Research (2) 2017-06-18 2021-09-27
- NEP-ETS: Econometric Time Series (1) 2015-06-20
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