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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 & Jan F. Kiviet, 2020. "kinkyreg: Instrument-free inference for linear regression models with endogenous regressors," London Stata Conference 2020 15, Stata Users Group.
  2. 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.
  3. Sebastian Kripfganz, 2019. "Generalized method of moments estimation of linear dynamic panel-data models," London Stata Conference 2019 17, Stata Users Group.
  4. Sebastian Kripfganz & Daniel Schneider, 2018. "ardl: Estimating autoregressive distributed lag and equilibrium correction models," London Stata Conference 2018 09, Stata Users Group.
  5. 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.
  6. Sebastian Kripfganz, 2017. "Sequential (two-stage) estimation of linear panel data models," United Kingdom Stata Users' Group Meetings 2017 09, Stata Users Group.
  7. Sebastian Kripfganz & Daniel C. Schneider, 2016. "ardl: Stata module to estimate autoregressive distributed lag models," 2016 Stata Conference 18, Stata Users Group.
  8. 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.
  9. 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.
  10. 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 & 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.
  2. 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 & Jan F. Kiviet, 2020. "KINKYREG: Stata module to perform kinky least squares estimation and inference," Statistical Software Components S458839, Boston College Department of Economics.
  2. 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 26 Aug 2020.
  3. 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 08 Oct 2020.
  4. 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.
  5. 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 & Jan F. Kiviet, 2020. "kinkyreg: Instrument-free inference for linear regression models with endogenous regressors," London Stata Conference 2020 15, Stata Users Group.

    Cited by:

    1. Jan F. Kiviet, 2020. "Causes of haze and its health effects in Singapore: a replication study," Working Papers 10/2020, Stellenbosch University, Department of Economics.

  2. 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.

    Cited by:

    1. Haider Mahmood & Nabil Maalel & Olfa Zarrad, 2019. "Trade Openness and CO 2 Emissions: Evidence from Tunisia," Sustainability, MDPI, Open Access Journal, vol. 11(12), pages 1-14, June.
    2. Tarek Tawfik Yousef Alkhateeb & Haider Mahmood, 2019. "Energy Consumption and Trade Openness Nexus in Egypt: Asymmetry Analysis," Energies, MDPI, Open Access Journal, vol. 12(10), pages 1-10, May.
    3. Mariana Hatmanu & Cristina Cautisanu & Mihaela Ifrim, 2020. "The Impact of Interest Rate, Exchange Rate and European Business Climate on Economic Growth in Romania: An ARDL Approach with Structural Breaks," Sustainability, MDPI, Open Access Journal, vol. 12(7), pages 1-23, April.
    4. Sebastian Kripfganz & Daniel Schneider, 2018. "ardl: Estimating autoregressive distributed lag and equilibrium correction models," London Stata Conference 2018 09, Stata Users Group.
    5. Dachraoui, Hajer & Sebri, Maamar, 2020. "Tunisia, natural resources, and capital flight," EconStor Preprints 218970, ZBW - Leibniz Information Centre for Economics.
    6. Usman, Ojonugwa & Alola, Andrew Adewale & Sarkodie, Samuel Asumadu, 2020. "Assessment of the role of renewable energy consumption and trade policy on environmental degradation using innovation accounting: Evidence from the US," Renewable Energy, Elsevier, vol. 150(C), pages 266-277.
    7. Nduka, Eleanya K., 2018. "Modeling the Long-Run Relationship Between Exchange Rate-Tourism Pass-Through and Growth: The Case of Nigeria?," MPRA Paper 86584, University Library of Munich, Germany.
    8. Nuno Carlos Leitão & Jeremiás Máté Balogh, 2020. "The Impact of Energy Consumption and Agricultural Production on Carbon Dioxide Emissions in Portugal," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(1), March.
    9. Tarek Tawfik Yousef Alkhateeb & Haider Mahmood, 2020. "Oil Price and Energy Depletion Nexus in GCC Countries: Asymmetry Analyses," Energies, MDPI, Open Access Journal, vol. 13(12), pages 1-13, June.

  3. Sebastian Kripfganz, 2019. "Generalized method of moments estimation of linear dynamic panel-data models," London Stata Conference 2019 17, Stata Users Group.

    Cited by:

    1. Anja Baum & Clay Hackney & Paulo Medas & Mouhamadou Sy, 2019. "Governance and State-Owned Enterprises: How Costly is Corruption?," IMF Working Papers 19/253, International Monetary Fund.
    2. Markus Fritsch & Andrew Adrian Pua & Joachim Schnurbus, 2019. "Revisiting Evidence on Habits and Heterogeneity in Demands," Working Papers 2019-07-09, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    3. Pua, Andrew Adrian Yu & Fritsch, Markus & Schnurbus, Joachim, 2019. "Large sample properties of an IV estimator based on the Ahn and Schmidt moment conditions," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-37-19, University of Passau, Faculty of Business and Economics.
    4. Pua, Andrew Adrian Yu & Fritsch, Markus & Schnurbus, Joachim, 2019. "Practical aspects of using quadratic moment conditions in linear dynamic panel data models," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-38-19, University of Passau, Faculty of Business and Economics.
    5. Fritsch, Markus & Pua, Andrew Adrian Yu & Schnurbus, Joachim, 2019. "Revisiting habits and heterogeneity in demands," Passauer Diskussionspapiere, Volkswirtschaftliche Reihe V-78-19, University of Passau, Faculty of Business and Economics.
    6. Goodell, John W. & Goyal, Abhinav & Hasan, Iftekhar, 2020. "Comparing financial transparency between for-profit and nonprofit suppliers of public goods: Evidence from microfinance," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).
    7. Fritsch, Markus & Pua, Andrew Adrian Yu & Schnurbus, Joachim, 2019. "Pdynmc - An R-package for estimating linear dynamic panel data models based on linear and nonlinear moment conditions," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-39-19, University of Passau, Faculty of Business and Economics.
    8. Fritsch, Markus, 2019. "On GMM estimation of linear dynamic panel data models," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-36-19, University of Passau, Faculty of Business and Economics.

  4. 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.

  5. 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.
    2. Canh, Nguyen Phuc & Binh, Nguyen Thanh & Thanh, Su Dinh & Schinckus, Christophe, 2020. "Determinants of foreign direct investment inflows: The role of economic policy uncertainty," International Economics, Elsevier, vol. 161(C), pages 159-172.

  6. 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. Mourad Zmami & Ousama Ben-Salha, 2019. "Does Oil Price Drive World Food Prices? Evidence from Linear and Nonlinear ARDL Modeling," Economies, MDPI, Open Access Journal, vol. 7(1), pages 1-18, February.
    2. Desire Wade Atchike & Zhen-Yu Zhao & Geriletu Bao, 2020. "The Relationship between Electricity Consumption, Foreign Direct Investment and Economic Growth: Case of Benin," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 507-515.
    3. 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.
    4. Stéphane Lemarié & Valerie Orozco & Jean-Pierre Butault & Antonio Musolesi & Michel Simioni & Bertrand Schmitt, 2019. "Assessing the long-term impact of agricultural research on productivity: evidence from France," Working Papers hal-02791517, HAL.
    5. Ali Hassan Shabbir & Jiquan Zhang & James D Johnston & Samuel Asumadu Sarkodie & James A Lutz & Xingpeng Liu, 2020. "Predicting the influence of climate on grassland area burned in Xilingol, China with dynamic simulations of autoregressive distributed lag models," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-19, April.
    6. Soohyon Kim, 2018. "Determinants of Capital Flows in the Korean Bond Market," Working Papers 2018-44, Economic Research Institute, Bank of Korea.
    7. 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.
    8. Olufunmilayo T. Afolayan & Henry Okodua & Hassan Oaikhenan & Oluwatoyin Matthew, 2020. "Carbon Emissions, Human Capital Investment and Economic Development in Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 10(2), pages 427-437.
    9. Nuno Carlos Leitão & Jeremiás Máté Balogh, 2020. "The Impact of Energy Consumption and Agricultural Production on Carbon Dioxide Emissions in Portugal," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(1), March.
    10. Quan-Hoang Vuong & Manh-Tung Ho & Hong-Kong To Nguyen & Minh-Hoang Nguyen, 2019. "The trilemma of sustainable industrial growth: evidence from a piloting OECD’s Green city," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-14, December.
    11. Carlos Pérez Montes & Alejandro Ferrer Pérez, 2018. "The impact of the interest rate level on bank profitability and balance sheet structure," Revista de Estabilidad Financiera, Banco de España;Revista de Estabilidad Financiera Homepage, issue NOV.
    12. John Bosco Nnyanzi, 2018. "The Interaction Effect of Financial Innovation and the Transmission Channels on Money Demand in Uganda," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(12), pages 1-1, December.

  7. 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. Musson, Anne & Rousselière, Damien, 2020. "Identifying the impact of crisis on cooperative capital constraint. A short note on French craftsmen cooperatives," Finance Research Letters, Elsevier, vol. 35(C).
    2. Tao Bai & Stephen Chen & Xiao He, 2019. "How Home-Country Political Connections Influence the Internationalization of Service Firms," Management International Review, Springer, vol. 59(4), pages 541-560, August.
    3. 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.
    4. Adesina, Kolade Sunday, 2019. "Basel III liquidity rules: The implications for bank lending growth in Africa," Economic Systems, Elsevier, vol. 43(2), pages 1-1.
    5. Giorgio Canarella & Stephen M. Miller, 2019. "Determinants of Optimal Capital Structure and Speed of Adjustment: Evidence from the U.S. ICT Sector," Working papers 2019-06, University of Connecticut, Department of Economics.
    6. 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.
    7. 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.
    8. Jan Hoffmann & Naima Saeed & Sigbjørn Sødal, 2020. "Liner shipping bilateral connectivity and its impact on South Africa’s bilateral trade flows," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(3), pages 473-499, September.
    9. 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.
    10. Michalô °€ Brzozowski, 2020. "Impact of Credit Market Development and Stability on Productivity: New Evidence from the Industry Level," Annals of Economics and Finance, Society for AEF, vol. 21(1), pages 111-129, May.
    11. 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.
    12. Martin Falk & Sigbjorn Landazuri Tveteraas, 2020. "Modelling the wider effects of ski lift investments," Empirical Economics, Springer, vol. 59(1), pages 259-274, July.
    13. Izabela Sobiech, 2015. "Remittances, finance and growth: does financial development foster remittances and their impact on economic growth," FIW Working Paper series 158, FIW.
    14. 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.
    15. Suale Karimu, 2019. "Structural transformation, openness, and productivity growth in sub-Saharan Africa," WIDER Working Paper Series wp-2019-109, World Institute for Development Economic Research (UNU-WIDER).
    16. 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.
    17. 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.
    18. Marco Ferretti & Salvatore Ferri & Raffaele Fiorentino & Adele Parmentola & Alessandro Sapio, 2020. "What drives the growth of academic spin-offs? Matching academics, universities, and non-research organizations," International Entrepreneurship and Management Journal, Springer, vol. 16(1), pages 137-163, March.
    19. Rafael Carranza, 2020. "Inequality of Outcomes, Inequality of Opportunity, and Economic Growth," Working Papers 534, ECINEQ, Society for the Study of Economic Inequality.
    20. Florin Teodor Boldeanu & Ileana Tache, 2016. "A Regional Approach To The Metropolitan Economic Grwoth: Evidence From The European Union," Journal of Smart Economic Growth, , vol. 1(1), pages 29-72, August.

  8. 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.

    Cited by:

    1. Jin, Fei & Lee, Lung-fei & Yu, Jihai, 2020. "First difference estimation of spatial dynamic panel data models with fixed effects," Economics Letters, Elsevier, vol. 189(C).

  9. 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. Anja Baum & Clay Hackney & Paulo Medas & Mouhamadou Sy, 2019. "Governance and State-Owned Enterprises: How Costly is Corruption?," IMF Working Papers 19/253, International Monetary Fund.
    5. Umer Shahzad & Fengming Qin, 2019. "New Terrorism and Capital Flight: Pre and Post Nine Eleven analysis for Asia," Annals of Economics and Finance, Society for AEF, vol. 20(1), pages 465-487, May.
    6. Sebastian Kripfganz, 2017. "Sequential (two-stage) estimation of linear panel-data models," German Stata Users' Group Meetings 2017 03, Stata Users Group.
    7. F. Kropfh䵦szlig;er & 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.
    8. 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.
    9. 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.
    10. 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.
    11. Goodell, John W. & Goyal, Abhinav & Hasan, Iftekhar, 2020. "Comparing financial transparency between for-profit and nonprofit suppliers of public goods: Evidence from microfinance," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).
    12. Camilla Jensen & Marcin winiarczyk, 2014. "Special Economic Zones - 20 years later," CASE Network Studies and Analyses 0467, CASE-Center for Social and Economic Research.
    13. 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.
    14. 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).
    15. 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.
    16. Mishra, Chandra S., 2020. "Are frequent acquirers more entrenched?," International Review of Financial Analysis, Elsevier, vol. 70(C).
    17. 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.
    18. Andini, Corrado, 2014. "Persistence Bias and Schooling Returns," IZA Discussion Papers 8143, Institute of Labor Economics (IZA).
    19. 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.
    20. Steven Salaga & Brian M. Mills & Scott Tainsky, 2020. "Employer-Assigned Workload and Human Capital Deterioration: Evidence From the National Football League," Journal of Sports Economics, , vol. 21(6), pages 628-659, August.
    21. 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 & 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.
    See citations under working paper version above.
  2. 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 4 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. Author is listed
  3. NEP-CMP: Computational Economics (1) 2017-11-05. Author is listed
  4. NEP-GEO: Economic Geography (1) 2015-02-16. Author is listed
  5. NEP-ORE: Operations Research (1) 2013-08-10. Author is listed
  6. NEP-URE: Urban & Real Estate Economics (1) 2015-02-16. Author is listed

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