IDEAS home Printed from https://ideas.repec.org/f/pkr246.html
   My authors  Follow this author

Sebastian Kripfganz

Personal Details

First Name:Sebastian
Middle Name:
Last Name:Kripfganz
Suffix:
RePEc Short-ID:pkr246
[This author has chosen not to make the email address public]
http://www.kripfganz.de
Twitter: @kripfganz
Terminal Degree:2015 Fachbereich Wirtschaftswissenschaft; Goethe Universität Frankfurt am Main (from RePEc Genealogy)

Affiliation

Department of Economics
Business School
University of Exeter

Exeter, United Kingdom
http://business-school.exeter.ac.uk/about/departments/economics/
RePEc:edi:dexexuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Melanie Krause & Sebastian Kripfganz, 2022. "Regional convergence at the county level: The role of commuters," Discussion Papers 2201, University of Exeter, Department of Economics.
  2. Sebastian Kripfganz & Jörg Breitung, 2022. "Bias-corrected estimation of linear dynamic panel data models," London Stata Conference 2022 05, Stata Users Group.
  3. Sebastian Kripfganz & Vasilis Sarafidis, 2021. "Instrumental variable estimation of large-T panel data models with common factors," London Stata Conference 2021 4, Stata Users Group.
  4. Sebastian Kripfganz & Jan F. Kiviet, 2020. "kinkyreg: Instrument-free inference for linear regression models with endogenous regressors," London Stata Conference 2020 15, Stata Users Group.
  5. Sebastian Kripfganz & Daniel C. Schneider, 2019. "Response surface regressions for critical value bounds and approximate p-values in equilibrium correction models," Discussion Papers 1901, University of Exeter, Department of Economics.
  6. Sebastian Kripfganz, 2019. "Generalized method of moments estimation of linear dynamic panel-data models," London Stata Conference 2019 17, Stata Users Group.
  7. Sebastian Kripfganz & Daniel Schneider, 2018. "ardl: Estimating autoregressive distributed lag and equilibrium correction models," London Stata Conference 2018 09, Stata Users Group.
  8. Daniel C. Schneider & Sebastian Kripfganz, 2017. "A case study in efficient programming in Stata and Mata: Speeding up the ardl estimation command," German Stata Users' Group Meetings 2017 04, Stata Users Group.
  9. Sebastian Kripfganz, 2017. "Sequential (two-stage) estimation of linear panel data models," United Kingdom Stata Users' Group Meetings 2017 09, Stata Users Group.
  10. Sebastian Kripfganz & Daniel C. Schneider, 2016. "ardl: Stata module to estimate autoregressive distributed lag models," 2016 Stata Conference 18, Stata Users Group.
  11. Sebastian Kripfganz, 2016. "xtdpdqml: Quasi-maximum likelihood estimation of linear dynamic short-T panel-data models," United Kingdom Stata Users' Group Meetings 2016 12, Stata Users Group.
  12. Kripfganz, Sebastian, 2014. "Unconditional Transformed Likelihood Estimation of Time-Space Dynamic Panel Data Models," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100604, Verein für Socialpolitik / German Economic Association.
  13. Kripfganz, Sebastian & Schwarz, Claudia, 2013. "Estimation of linear dynamic panel data models with time-invariant regressors," Discussion Papers 25/2013, Deutsche Bundesbank.

Articles

  1. Breitung, Jörg & Kripfganz, Sebastian & Hayakawa, Kazuhiko, 2022. "Bias-corrected method of moments estimators for dynamic panel data models," Econometrics and Statistics, Elsevier, vol. 24(C), pages 116-132.
  2. Sebastian Kripfganz & Jan F. Kiviet, 2021. "kinkyreg: Instrument-free inference for linear regression models with endogenous regressors," Stata Journal, StataCorp LP, vol. 21(3), pages 772-813, September.
  3. Kiviet, Jan F. & Kripfganz, Sebastian, 2021. "Instrument approval by the Sargan test and its consequences for coefficient estimation," Economics Letters, Elsevier, vol. 205(C).
  4. Sebastian Kripfganz & Vasilis Sarafidis, 2021. "Instrumental-variable estimation of large-T panel-data models with common factors," Stata Journal, StataCorp LP, vol. 21(3), pages 659-686, September.
  5. Sebastian Kripfganz & Daniel C. Schneider, 2020. "Response Surface Regressions for Critical Value Bounds and Approximate p‐values in Equilibrium Correction Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1456-1481, December.
  6. Sebastian Kripfganz & Claudia Schwarz, 2019. "Estimation of linear dynamic panel data models with time‐invariant regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 526-546, June.
  7. Sebastian Kripfganz, 2016. "Quasi–maximum likelihood estimation of linear dynamic short-T panel-data models," Stata Journal, StataCorp LP, vol. 16(4), pages 1013-1038, December.

Software components

  1. Sebastian Kripfganz & Jörg Breitung, 2022. "XTDPDBC: Stata module to perform bias-corrected estimation of linear dynamic panel data models," Statistical Software Components S459078, Boston College Department of Economics, revised 31 Aug 2022.
  2. Sebastian Kripfganz & Vasilis Sarafidis, 2021. "XTIVDFREG: Stata module to perform defactored instrumental variables estimation of large panel data models," Statistical Software Components S458915, Boston College Department of Economics.
  3. Sebastian Kripfganz & Jan F. Kiviet, 2020. "KINKYREG: Stata module to perform kinky least squares estimation and inference," Statistical Software Components S458839, Boston College Department of Economics, revised 16 Mar 2021.
  4. Sebastian Kripfganz & Daniel C. Schneider, 2018. "ARDL: Stata module to perform autoregressive distributed lag model estimation," Statistical Software Components S458528, Boston College Department of Economics, revised 31 Mar 2022.
  5. Sebastian Kripfganz, 2017. "XTDPDGMM: Stata module to perform generalized method of moments estimation of linear dynamic panel data models," Statistical Software Components S458395, Boston College Department of Economics, revised 05 Aug 2022.
  6. Sebastian Kripfganz, 2017. "XTSEQREG: Stata module to perform sequential estimation of linear panel data models," Statistical Software Components S458355, Boston College Department of Economics, revised 10 Aug 2020.
  7. Sebastian Kripfganz, 2016. "XTDPDQML: Stata module to perform quasi-maximum likelihood linear dynamic panel data estimation," Statistical Software Components S458218, Boston College Department of Economics, revised 04 Mar 2017.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Rankings

This author is among the top 5% authors according to these criteria:
  1. Average Rank Score
  2. Number of Abstract Views in RePEc Services over the past 12 months
  3. Number of Downloads through RePEc Services over the past 12 months
  4. Number of Abstract Views in RePEc Services over the past 12 months, Weighted by Number of Authors
  5. Number of Downloads through RePEc Services over the past 12 months, Weighted by Number of Authors

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 9 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 (3) 2013-08-10 2015-02-16 2019-03-11. Author is listed
  2. NEP-ETS: Econometric Time Series (3) 2015-02-16 2019-03-11 2022-07-25. Author is listed
  3. NEP-ORE: Operations Research (3) 2013-08-10 2021-09-20 2022-02-07. Author is listed
  4. NEP-GEO: Economic Geography (2) 2015-02-16 2022-01-10
  5. NEP-URE: Urban & Real Estate Economics (2) 2015-02-16 2022-01-10
  6. NEP-CMP: Computational Economics (1) 2017-11-05
  7. NEP-DCM: Discrete Choice Models (1) 2022-10-10
  8. NEP-ISF: Islamic Finance (1) 2021-09-20
  9. NEP-LAB: Labour Economics (1) 2022-01-10

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Sebastian Kripfganz should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.