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Antoine Alex Djogbenou

Personal Details

First Name:Antoine
Middle Name:Alex
Last Name:Djogbenou
Suffix:
RePEc Short-ID:pdj35
https://sites.google.com/site/djogbenouantoine/

Affiliation

Department of Economics
York University

Toronto, Canada
http://econ.laps.yorku.ca/

: (416) 736-5083
(416) 736-5987
4700 Keele Street, Toronto, Ontario, M3J 1P3
RePEc:edi:dyorkca (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. 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.
  2. 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.
  3. Antoine A. Djogbenou, 2017. "Model Selection In Factor-augmented Regressions With Estimated Factors," Working Paper 1391, Economics Department, Queen's University.
  4. 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.
  5. Silvia Gonçalves & Benoit Perron & Antoine Djogbenou, 2016. "Bootstrap prediction intervals for factor models," CIRANO Working Papers 2016s-19, CIRANO.
  6. 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

  1. 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.
  2. 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

  1. 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:

    1. James G. MacKinnon & Matthew D. Webb, 2019. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
    2. 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.
    3. 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.
    4. Andreas Hagemann, 2019. "Permutation inference with a finite number of heterogeneous clusters," Papers 1907.01049, arXiv.org.
    5. 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.
    6. Harold D. Chiang, 2019. "Many Average Partial Effects: with an Application to Text Regression," 2019 Papers pch1836, Job Market Papers.
    7. 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.

  2. Antoine A. Djogbenou, 2017. "Model Selection In Factor-augmented Regressions With Estimated Factors," Working Paper 1391, Economics Department, Queen's University.

    Cited by:

    1. 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.
    2. 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..
    3. 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.

  3. 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:

    1. 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.
    2. 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.
    3. Laurent Davezies & Xavier D'Haultfoeuille & Yannick Guyonvarch, 2018. "Asymptotic results under multiway clustering," Papers 1807.07925, arXiv.org, revised Aug 2018.
    4. 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.

  4. Silvia Gonçalves & Benoit Perron & Antoine Djogbenou, 2016. "Bootstrap prediction intervals for factor models," CIRANO Working Papers 2016s-19, CIRANO.

    Cited by:

    1. 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.
    2. Antoine Djogbenou & Silvia Gonçalves & Benoit Perron, 2015. "Bootstrap inference in regressions with estimated factors and serial correlation," CIRANO Working Papers 2015s-20, CIRANO.
    3. Patrick Gagliardini & Elisa Ossola & Olivier Scaillet, 2016. "A diagnostic criterion for approximate factor structure," Papers 1612.04990, arXiv.org, revised Aug 2017.
    4. Knut Are Aastveit & Claudia Foroni & Francesco Ravazzolo, 2014. "Density forecasts with MIDAS models," Working Paper 2014/10, Norges Bank.
    5. GONÇALVES, Sílvia & PERRON, Benoit, 2018. "Bootstrapping factor models with cross sectional dependence," Cahiers de recherche 2018-07, Universite de Montreal, Departement de sciences economiques.
    6. 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.
    7. 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.
    8. YAMAMOTO, Yohei, 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.
    9. 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.

  5. 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:

    1. Maldonado, Javier & Ruiz Ortega, Esther, 2017. "Accurate Subsampling Intervals of Principal Components Factors," DES - Working Papers. Statistics and Econometrics. WS 23974, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Fosten, Jack, 2017. "Confidence intervals in regressions with estimated factors and idiosyncratic components," Economics Letters, Elsevier, vol. 157(C), pages 71-74.
    3. Knut Are Aastveit & Claudia Foroni & Francesco Ravazzolo, 2014. "Density forecasts with MIDAS models," Working Paper 2014/10, Norges Bank.
    4. 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.
    5. Antoine A. Djogbenou, 2017. "Model Selection In Factor-augmented Regressions With Estimated Factors," Working Paper 1391, Economics Department, Queen's University.
    6. YAMAMOTO, Yohei, 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.
    7. 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.
    8. 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.

Articles

  1. 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.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 8 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.
  1. NEP-ECM: Econometrics (7) 2015-06-20 2016-04-16 2017-06-18 2017-11-05 2017-11-05 2018-03-12 2018-09-10. Author is listed
  2. NEP-FOR: Forecasting (4) 2015-06-20 2016-04-16 2017-11-05 2018-09-10. Author is listed
  3. NEP-ETS: Econometric Time Series (1) 2015-06-20
  4. NEP-ORE: Operations Research (1) 2017-06-18

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