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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
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/

: + 44 (0)1392-263304
+ 44 (0)1392-263305
Amory building, Rennes Drive, Exeter, EX4 4RJ
RePEc:edi:dexexuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. 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.
  2. Sebastian Kripfganz & Daniel Schneider, 2018. "ardl: Estimating autoregressive distributed lag and equilibrium correction models," London Stata Conference 2018 09, Stata Users Group.
  3. 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.
  4. Sebastian Kripfganz, 2017. "Sequential (two-stage) estimation of linear panel data models," United Kingdom Stata Users' Group Meetings 2017 09, Stata Users Group.
  5. Sebastian Kripfganz & Daniel C. Schneider, 2016. "ardl: Stata module to estimate autoregressive distributed lag models," 2016 Stata Conference 18, Stata Users Group.
  6. 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.
  7. Kripfganz, Sebastian, 2014. "Unconditional Transformed Likelihood Estimation of Time-Space Dynamic Panel Data Models," Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100604, Verein für Socialpolitik / German Economic Association.
  8. Kripfganz, Sebastian & Schwarz, Claudia, 2013. "Estimation of linear dynamic panel data models with time-invariant regressors," Discussion Papers 25/2013, Deutsche Bundesbank.

Articles

  1. 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 & Daniel C. Schneider, 2018. "ARDL: Stata module to perform autoregressive distributed lag model estimation," Statistical Software Components S458528, Boston College Department of Economics.
  2. 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 09 Sep 2018.
  3. Sebastian Kripfganz, 2017. "XTSEQREG: Stata module to perform sequential estimation of linear panel data models," Statistical Software Components S458355, Boston College Department of Economics.
  4. 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.

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. Sebastian Kripfganz & Daniel Schneider, 2018. "ardl: Estimating autoregressive distributed lag and equilibrium correction models," London Stata Conference 2018 09, Stata Users Group.

    Cited by:

    1. 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.

  2. Sebastian Kripfganz, 2017. "Sequential (two-stage) estimation of linear panel data models," United Kingdom Stata Users' Group Meetings 2017 09, Stata Users Group.

    Cited by:

    1. Sebastian Kripfganz, 2017. "Sequential (two-stage) estimation of linear panel-data models," German Stata Users' Group Meetings 2017 03, Stata Users Group.

  3. Sebastian Kripfganz & Daniel C. Schneider, 2016. "ardl: Stata module to estimate autoregressive distributed lag models," 2016 Stata Conference 18, Stata Users Group.

    Cited by:

    1. Ngozi Adeleye & Evans Osabuohien & Ebenezer Bowale & Oluwatoyin Matthew & Emmanuel Oduntan, 2018. "Financial reforms and credit growth in Nigeria: empirical insights from ARDL and ECM techniques," International Review of Applied Economics, Taylor & Francis Journals, vol. 32(6), pages 807-820, November.
    2. Soohyon Kim, 2018. "Determinants of Capital Flows in the Korean Bond Market," Working Papers 2018-44, Economic Research Institute, Bank of Korea.
    3. Stamatios Ntanos & Michalis Skordoulis & Grigorios Kyriakopoulos & Garyfallos Arabatzis & Miltiadis Chalikias & Spyros Galatsidas & Athanasios Batzios & Apostolia Katsarou, 2018. "Renewable Energy and Economic Growth: Evidence from European Countries," Sustainability, MDPI, Open Access Journal, vol. 10(8), pages 1-13, July.

  4. 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.

    Cited by:

    1. 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.
    2. Varma, Poornima & Issar Akash, 2017. "Intra-Industry Trade and Labour Market Adjustment: Indian Manufacturing Sector," IIMA Working Papers WP 2017-04-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
    3. Sobiech, Izabela, 2019. "Remittances, finance and growth: Does financial development foster the impact of remittances on economic growth?," World Development, Elsevier, vol. 113(C), pages 44-59.
    4. Marco Ferretti & Salvatore Ferri & Raffaele Fiorentino & Adele Parmentola & Alessandro Sapio, 2019. "Neither absent nor too present: the effects of the engagement of parent universities on the performance of academic spin-offs," Small Business Economics, Springer, vol. 52(1), pages 153-173, January.
    5. Juan S. Morales, 2016. "The Impact of Internal Displacement on Destination Communities: Evidence from the Colombian Conflict," HiCN Working Papers 209, Households in Conflict Network.
    6. Izabela Sobiech, 2015. "Remittances, finance and growth: does financial development foster remittances and their impact on economic growth," FIW Working Paper series 158, FIW.
    7. Tao Xu, 2017. "Income Diversification and Rural Consumption—Evidence from Chinese Provincial Panel Data," Sustainability, MDPI, Open Access Journal, vol. 9(6), pages 1-14, June.
    8. Colin O’Reilly & Ryan H. Murphy, 2017. "Exogenous Resource Shocks and Economic Freedom," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 59(3), pages 243-260, September.
    9. D. Dragone & D. Raggi, 2018. "Testing Rational Addiction: When Lifetime is Uncertain, One Lag is Enough," Working Papers wp1119, Dipartimento Scienze Economiche, Universita' di Bologna.
    10. Florin Teodor Boldeanu & Ileana Tache, 2016. "A Regional Approach To The Metropolitan Economic Growth: Evidence From The European Union," Journal of Smart Economic Growth, , vol. 1(1), pages 29-72, August.

  5. Kripfganz, Sebastian & Schwarz, Claudia, 2013. "Estimation of linear dynamic panel data models with time-invariant regressors," Discussion Papers 25/2013, Deutsche Bundesbank.

    Cited by:

    1. Michael Brei & Carlos Winograd, 2018. "Credit risk of foreign bank branches and subsidiaries in Argentina and Uruguay," EconomiX Working Papers 2018-12, University of Paris Nanterre, EconomiX.
    2. Florent Silve & Alexander Plekhanov, 2018. "Institutions, innovation and growth : Evidence from industry data," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(3), pages 335-362, July.
    3. Matthias Kalkuhl & Lukas Kornher & Matthias Kalkuhl & Irfan Mujahid, 2015. "Food price volatility in developing countries – the role of trade and storage," EcoMod2015 8415, EcoMod.
    4. Sebastian Kripfganz, 2017. "Sequential (two-stage) estimation of linear panel-data models," German Stata Users' Group Meetings 2017 03, Stata Users Group.
    5. F. Kropfhäußer & M. Sunder, 2015. "A weighty issue revisited: the dynamic effect of body weight on earnings and satisfaction in Germany," Applied Economics, Taylor & Francis Journals, vol. 47(41), pages 4364-4376, September.
    6. Jan Kiviet & Milan Pleus & Rutger Poldermans, 2017. "Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models," Econometrics, MDPI, Open Access Journal, vol. 5(1), pages 1-54, March.
    7. Kornher, Lukas & Kalkuhl, Matthias, 2013. "Food Price Volatility in Developing Countries and its Determinants," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 52(4), pages 1-32, November.
    8. Younghyeon Jeon & Byeong-il Ahn, 2017. "Effects of a Tariff Reduction on Grain Self-Sufficiency: Evidence from Country-Level Panel Data," Sustainability, MDPI, Open Access Journal, vol. 9(10), pages 1-14, October.
    9. Camilla Jensen & Marcin winiarczyk, 2014. "Special Economic Zones - 20 years later," CASE Network Studies and Analyses 0467, CASE-Center for Social and Economic Research.
    10. Byeong-il, Ahn & Younghyeon, Jeon, 2016. "Does tariff reduction have a positive effect on the world’s grain self-sufficiency?," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235578, Agricultural and Applied Economics Association.
    11. Frieder Kropfhäußer & Marco Sunder, 2014. "A Weighty Issue Revisited: The Dynamic Effect of Body Weight on Earnings and Satisfaction in Germany," SOEPpapers on Multidisciplinary Panel Data Research 635, DIW Berlin, The German Socio-Economic Panel (SOEP).
    12. Kripfganz, Sebastian, 2014. "Unconditional Transformed Likelihood Estimation of Time-Space Dynamic Panel Data Models," Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100604, Verein für Socialpolitik / German Economic Association.
    13. Halaoua, Sameh & Hamdi, Badreddine & Mejri, Tarek, 2017. "Earnings management to exceed thresholds in continental and Anglo-Saxon accounting models: The British and French cases," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 513-529.
    14. Andini, Corrado, 2014. "Persistence Bias and Schooling Returns," IZA Discussion Papers 8143, Institute for the Study of Labor (IZA).
    15. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," UvA-Econometrics Working Papers 14-09, Universiteit van Amsterdam, Dept. of Econometrics.
    16. Thomas Osang & Shlomo Weber, 2017. "Immigration policies, labor complementarities, population size and cultural frictions: Theory and evidence," International Journal of Economic Theory, The International Society for Economic Theory, vol. 13(1), pages 95-111, March.

Articles

  1. 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. See citations under working paper version above.Sorry, no citations of articles recorded.

Software components

    Sorry, no citations of software components recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Rankings

This author is among the top 5% authors according to these criteria:
  1. Number of Abstract Views in RePEc Services over the past 12 months
  2. Number of Downloads through RePEc Services over the past 12 months
  3. Number of Abstract Views in RePEc Services over the past 12 months, Weighted by Number of Authors
  4. 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 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.
  1. NEP-ECM: Econometrics (3) 2013-08-10 2015-02-16 2019-03-11. Author is listed
  2. NEP-ETS: Econometric Time Series (2) 2015-02-16 2019-03-11
  3. NEP-CMP: Computational Economics (1) 2017-11-05
  4. NEP-GEO: Economic Geography (1) 2015-02-16
  5. NEP-ORE: Operations Research (1) 2013-08-10
  6. NEP-URE: Urban & Real Estate Economics (1) 2015-02-16

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