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Jan Mutl

Personal Details

First Name:Jan
Middle Name:
Last Name:Mutl
Suffix:
RePEc Short-ID:pmu155
[This author has chosen not to make the email address public]
http://jan.mutl.de

Affiliation

Business School
EBS Universität für Wirtschaft und Recht

Wiesbaden, Germany
http://www.ebs.edu/ebs-business-school.html
RePEc:edi:ebsdede (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Mutl, Jan & Seyler, Nicolas, 2019. "Going Beyond Buildings: Mindfulness and Real Estate User Behavior," MPRA Paper 107062, University Library of Munich, Germany.
  2. Florian Schock & Jan Mutl & Florian Taübe & Paschen von Flotow, 2015. "VC financing and market growth – Interdependencies between technology-push and market-pull investments in the US solar industry," Working Papers TIMES² 2015-13, ULB -- Universite Libre de Bruxelles.
  3. Dieppe, Alistair & Mutl, Jan, 2013. "International R&D Spillovers: Technology Transfer vs. R&D Synergies," Working Paper Series 1504, European Central Bank.
  4. Mutl, Jan & Sögner, Leopold, 2013. "Parameter Estimation and Inference with Spatial Lags and Cointegration," Economics Series 296, Institute for Advanced Studies.
  5. Bode, Eckhardt & Mutl, Jan, 2010. "Testing Nonlinear New Economic Geography Models," Economics Series 253, Institute for Advanced Studies.
  6. Mutl, Jan, 2009. "Consistent Estimation of Global VAR Models," Economics Series 234, Institute for Advanced Studies.
  7. Mutl, Jan & Pfaffermayr, Michael, 2008. "The Spatial Random Effects and the Spatial Fixed Effects Model. The Hausman Test in a Cliff and Ord Panel Model," Economics Series 229, Institute for Advanced Studies.
  8. Jan Mutl, 2006. "Misspecification of Space: An Illustration Using Growth Convergence Regressions," Computing in Economics and Finance 2006 436, Society for Computational Economics.
  9. Jan Mutl, 2002. "Panel VAR Models with Spatial Dependence," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A5-2, International Conferences on Panel Data.
  10. Michael Binder & Cheng Hsiao & Jan Mutl & M. Hashem Pesaran, 2002. "Computational Issues in the Estimation of Higher-Order Panel Vector Autoregressions," Computing in Economics and Finance 2002 345, Society for Computational Economics.

Articles

  1. Kirchhain, Heiko & Mutl, Jan & Zietz, Joachim, 2021. "Spillover effects of company news across real estate markets and causal impact analysis," Journal of Housing Economics, Elsevier, vol. 54(C).
  2. Heiko Kirchhain & Jan Mutl & Joachim Zietz, 2020. "The Impact of Exogenous Shocks on House Prices: the Case of the Volkswagen Emissions Scandal," The Journal of Real Estate Finance and Economics, Springer, vol. 60(4), pages 587-610, May.
  3. Jan Mutl & Leopold Sögner, 2019. "Parameter estimation and inference with spatial lags and cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 38(6), pages 597-635, July.
  4. Andreas Mense & Eva Lohse & Jan Mutl & Heiko Kirchhain & Reiner Braun & Andreas Dombret, 2016. "Steigende Immobilienpreise und steigende Wohnungsnot: Wohnungsmarkt aus dem Gleichgewicht?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(16), pages 03-25, August.
  5. Julie LE GALLO & Jan MUTL, 2014. "Autocorrélation Spatiale Des Erreurs Et Erreurs De Mesure : Quelles Interactions ?," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 40, pages 37-52.
  6. Tobias Dippold & Jan Mutl & Joachim Zietz, 2014. "Opting for a Green Certificate: The Impact of Local Attitudes and Economic Conditions," Journal of Real Estate Research, American Real Estate Society, vol. 36(4), pages 435-474.
  7. Jan Mutl & Michael Pfaffermayr, 2011. "The Hausman test in a Cliff and Ord panel model," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 48-76, February.
  8. Mutl, Jan & Pfaffermayr, Michael, 2010. "A note on the Cliff and Ord test for spatial correlation in panel models," Economics Letters, Elsevier, vol. 108(2), pages 225-228, August.

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Bode, Eckhardt & Mutl, Jan, 2010. "Testing Nonlinear New Economic Geography Models," Economics Series 253, Institute for Advanced Studies.

    Mentioned in:

    1. Are New Economic Geography models any good?
      by Economic Logician in Economic Logic on 2010-08-30 19:59:00

Working papers

  1. Mutl, Jan & Seyler, Nicolas, 2019. "Going Beyond Buildings: Mindfulness and Real Estate User Behavior," MPRA Paper 107062, University Library of Munich, Germany.

    Cited by:

    1. Shirley Kempeneer & Michaël Peeters & Tine Compernolle, 2021. "Bringing the User Back in the Building: An Analysis of ESG in Real Estate and a Behavioral Framework to Guide Future Research," Sustainability, MDPI, vol. 13(6), pages 1-12, March.

  2. Florian Schock & Jan Mutl & Florian Taübe & Paschen von Flotow, 2015. "VC financing and market growth – Interdependencies between technology-push and market-pull investments in the US solar industry," Working Papers TIMES² 2015-13, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. F.H.J. Polzin & M.W.J.L. Sanders, 2019. "How to fill the ‘financing gap’ for the transition to low-carbon energy in Europe?," Working Papers 19-18, Utrecht School of Economics.

  3. Dieppe, Alistair & Mutl, Jan, 2013. "International R&D Spillovers: Technology Transfer vs. R&D Synergies," Working Paper Series 1504, European Central Bank.

    Cited by:

    1. Schulte, Patrick, 2015. "Does skill-biased technical change diffuse internationally?," ZEW Discussion Papers 15-088, ZEW - Leibniz Centre for European Economic Research.
    2. Schulte, Patrick, 2021. "Skill Bias magnified: Identifying the role of international technology diffusion," Journal of International Economics, Elsevier, vol. 129(C).
    3. M. A. Kaneva & G. A. Untura, 2018. "Interrelation of R&D, Knowledge Spillovers, and Dynamics of the Economic Growth of Russian Regions," Regional Research of Russia, Springer, vol. 8(1), pages 84-91, January.
    4. Dumont, Michel, 2022. "Public support to business research and development in Belgium: fourth evaluation," MPRA Paper 115418, University Library of Munich, Germany.
    5. Mantas Markauskas & Asta Baliute, 2021. "Technological progress spillover effect in Lithuanian manufacturing industry," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(4), pages 783-806, December.

  4. Mutl, Jan & Sögner, Leopold, 2013. "Parameter Estimation and Inference with Spatial Lags and Cointegration," Economics Series 296, Institute for Advanced Studies.

    Cited by:

    1. Jan Mutl & Leopold Sögner, 2019. "Parameter estimation and inference with spatial lags and cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 38(6), pages 597-635, July.

  5. Bode, Eckhardt & Mutl, Jan, 2010. "Testing Nonlinear New Economic Geography Models," Economics Series 253, Institute for Advanced Studies.

    Cited by:

    1. Mark Andrew, 2012. "Regional market size and the housing market: insights from a new economic geography model," Journal of Property Research, Taylor & Francis Journals, vol. 29(4), pages 298-323, July.
    2. Oleg Kuklin & Mykhailo Kryvoruchko, 2019. "Institutional Analysis Of Interregional Socio-Economic Convergence In The Context Of European Integration: Interdisciplinary Methodological Approach Development," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", vol. 5(2).
    3. Frank Bickenbach & Eckhardt Bode, 2013. "New Economic Geography and Reunified Germany at Twenty: A Fruitful Match?," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(2), pages 120-153, June.

  6. Mutl, Jan, 2009. "Consistent Estimation of Global VAR Models," Economics Series 234, Institute for Advanced Studies.

    Cited by:

    1. Kyriakos Drivas & Claire Economidou & Konstantinos N. Konstantakis & Panayotis G. Michaelides, 2022. "Technological Leaders, Laggards and Spillovers: A Network GVAR Analysis," Open Economies Review, Springer, vol. 33(2), pages 231-269, April.
    2. Winkelried, Diego & Saldarriaga, Miguel, 2013. "Socios comerciales y crecimiento en América Latina: Un enfoque SVAR dinámico," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 25, pages 81-102.
    3. Konstantakis, Konstantinos N. & Michaelides, Panayotis G., 2014. "Transmission of the debt crisis: From EU15 to USA or vice versa? A GVAR approach," Journal of Economics and Business, Elsevier, vol. 76(C), pages 115-132.
    4. Konstantakis, Konstantinos & Michaelides, Panayotis G., 2014. "Combining Input-Output (IO) analysis with Global Vector Autoregressive (GVAR) modeling: Evidence for the USA (1992-2006)," MPRA Paper 67111, University Library of Munich, Germany.
    5. J. Paul Elhorst & Marco Gross & Eugen Tereanu, 2021. "Cross‐Sectional Dependence And Spillovers In Space And Time: Where Spatial Econometrics And Global Var Models Meet," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 192-226, February.
    6. Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Tsionas, Efthymios G. & Minou, Chrysanthi, 2015. "System estimation of GVAR with two dominants and network theory: Evidence for BRICs," Economic Modelling, Elsevier, vol. 51(C), pages 604-616.
    7. Michaelides, Panayotis G. & Konstantakis, Konstantinos N. & Milioti, Christina & Karlaftis, Matthew G., 2015. "Modelling spillover effects of public transportation means: An intra-modal GVAR approach for Athens," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 1-18.
    8. Winkelried, Diego & Saldarriaga, Miguel, 2012. "Trade linkages and growth in Latin America: A time-varying SVAR approach," Working Papers 2012-011, Banco Central de Reserva del Perú.

  7. Mutl, Jan & Pfaffermayr, Michael, 2008. "The Spatial Random Effects and the Spatial Fixed Effects Model. The Hausman Test in a Cliff and Ord Panel Model," Economics Series 229, Institute for Advanced Studies.

    Cited by:

    1. Suedekum, Jens, 2006. "Human Capital Externalities and Growth of High- and Low-Skilled Jobs," IZA Discussion Papers 1969, Institute of Labor Economics (IZA).
    2. Fritz Breuss & Peter Egger & Michael Pfaffermayr, 2010. "Structural funds, EU enlargement, and the redistribution of FDI in Europe," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(3), pages 469-494, September.
    3. Bernard Fingleton, 2010. "Predicting the Geography of House Prices," SERC Discussion Papers 0045, Centre for Economic Performance, LSE.
    4. Ilaria Petrarca & Fabio Padovano, 2011. "From Taxes to Politics, from Politics to Taxes: Evidence of Yardstick Competition in the Italian Municipalities," Economics Working Paper from Condorcet Center for political Economy at CREM-CNRS 2011-01-ccr, Condorcet Center for political Economy.
    5. Jihai Yu & Lung-Fei Lee, 2012. "Convergence: A Spatial Dynamic Panel Data Approach," Global Journal of Economics (GJE), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 1-36.
    6. Moscone, Francesco & Tosetti, Elisa, 2010. "GMM estimation of Spatial Panels with Fixed Effects," MPRA Paper 20152, University Library of Munich, Germany.
    7. B. Merlevede & G. Rayp & S. Van Parys & T. Verbeke, 2011. "Do EU15 countries compete over labour taxes?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/750, Ghent University, Faculty of Economics and Business Administration.
    8. Mutl, Jan & Pfaffermayr, Michael, 2010. "A note on the Cliff and Ord test for spatial correlation in panel models," Economics Letters, Elsevier, vol. 108(2), pages 225-228, August.
    9. Lee, Lung-fei & Yu, Jihai, 2010. "Some recent developments in spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 255-271, September.

  8. Jan Mutl, 2006. "Misspecification of Space: An Illustration Using Growth Convergence Regressions," Computing in Economics and Finance 2006 436, Society for Computational Economics.

    Cited by:

    1. Werck, Kristien & Heyndels, Bruno & Geys, Benny, 2007. "The impact of central places on spatial spending patterns: evidence from Flemish local government cultural expenditures [Der Einfluss ‘Zentraler Orte’ auf räumliche Ausgabenmuster: eine empirische ," Discussion Papers, Research Unit: Market Processes and Governance SP II 2007-10, WZB Berlin Social Science Center.
    2. Paul A. Raschky & Hannelore Weck-Hannemann, "undated". "Who is going to save us now? Bureaucrats, Politicians and Risky Tasks," Working Papers 2007-29, Faculty of Economics and Statistics, Universität Innsbruck.

  9. Jan Mutl, 2002. "Panel VAR Models with Spatial Dependence," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A5-2, International Conferences on Panel Data.

    Cited by:

    1. Arturas Juodis, 2014. "Cointegration Testing in Panel VAR Models Under Partial Identification and Spatial Dependence," UvA-Econometrics Working Papers 14-08, Universiteit van Amsterdam, Dept. of Econometrics.
    2. Marcos Herrera & Jesús Mur & Manuel Ruiz, 2016. "Detecting causal relationships between spatial processes," Papers in Regional Science, Wiley Blackwell, vol. 95(3), pages 577-594, August.
    3. Herrera Gómez, Marcos & Ruiz Marín, Manuel & Mur Lacambra, Jesús, 2014. "Testing Spatial Causality in Cross-section Data," MPRA Paper 56678, University Library of Munich, Germany.
    4. Yang, Kai & Lee, Lung-fei, 2021. "Estimation of dynamic panel spatial vector autoregression: Stability and spatial multivariate cointegration," Journal of Econometrics, Elsevier, vol. 221(2), pages 337-367.
    5. Ana Angulo & F. Trívez, 2010. "The impact of spatial elements on the forecasting of Spanish labour series," Journal of Geographical Systems, Springer, vol. 12(2), pages 155-174, June.
    6. Arturas Juodis, 2013. "First Difference Transformation in Panel VAR models: Robustness, Estimation and Inference," UvA-Econometrics Working Papers 13-06, Universiteit van Amsterdam, Dept. of Econometrics.
    7. Gerald A. Carlino & Thorsten Drautzburg, 2017. "The Role of Startups for Local Labor Markets," Working Papers 17-31, Federal Reserve Bank of Philadelphia.
    8. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    9. Timo MITZE & Björn ALECKE & Gerhard UNTIEDT, 2008. "Determinants of Interregional Migration Among German States and its Implications for Reducing East-West Disparities: Results from a Panel VAR Using Efficient GMM Estimation," EcoMod2008 23800089, EcoMod.

  10. Michael Binder & Cheng Hsiao & Jan Mutl & M. Hashem Pesaran, 2002. "Computational Issues in the Estimation of Higher-Order Panel Vector Autoregressions," Computing in Economics and Finance 2002 345, Society for Computational Economics.

    Cited by:

    1. Mutl, Jan, 2009. "Consistent Estimation of Global VAR Models," Economics Series 234, Institute for Advanced Studies.
    2. Jan Mutl, 2002. "Panel VAR Models with Spatial Dependence," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A5-2, International Conferences on Panel Data.

Articles

  1. Kirchhain, Heiko & Mutl, Jan & Zietz, Joachim, 2021. "Spillover effects of company news across real estate markets and causal impact analysis," Journal of Housing Economics, Elsevier, vol. 54(C).

    Cited by:

    1. Sheida Teimouri & Joachim Zietz, 2025. "Housing prices and import competition," Empirical Economics, Springer, vol. 68(1), pages 253-280, January.
    2. Doan, Quang Cuong, 2023. "Determining the optimal land valuation model: A case study of Hanoi, Vietnam," Land Use Policy, Elsevier, vol. 127(C).

  2. Heiko Kirchhain & Jan Mutl & Joachim Zietz, 2020. "The Impact of Exogenous Shocks on House Prices: the Case of the Volkswagen Emissions Scandal," The Journal of Real Estate Finance and Economics, Springer, vol. 60(4), pages 587-610, May.

    Cited by:

    1. Zhou, Chao & Liao, Jinglin, 2024. "Home country digital finance development and post-entry internationalization speed of emerging market SMEs: Empirical evidence from China," International Review of Financial Analysis, Elsevier, vol. 91(C).
    2. Kirchhain, Heiko & Mutl, Jan & Zietz, Joachim, 2021. "Spillover effects of company news across real estate markets and causal impact analysis," Journal of Housing Economics, Elsevier, vol. 54(C).

  3. Jan Mutl & Leopold Sögner, 2019. "Parameter estimation and inference with spatial lags and cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 38(6), pages 597-635, July.
    See citations under working paper version above.
  4. Andreas Mense & Eva Lohse & Jan Mutl & Heiko Kirchhain & Reiner Braun & Andreas Dombret, 2016. "Steigende Immobilienpreise und steigende Wohnungsnot: Wohnungsmarkt aus dem Gleichgewicht?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(16), pages 03-25, August.

    Cited by:

    1. Thomsen, Stephan L. & Vogt, Daniel & Brausewetter, Lars, 2019. "Wohnungsmarkt und Wohnungspolitik in Deutschland: Situation und Optionen," IZA Standpunkte 97, Institute of Labor Economics (IZA).
    2. Stephan L. Thomsen & Daniel Vogt & Lars Brausewetter, 2020. "Mietwohnungsknappheit in Deutschland: Ursachen, Instrumente, Implikationen [Shortage of Rental Housing in Germany: Causes, Instruments, Implications]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 100(6), pages 461-467, June.

  5. Tobias Dippold & Jan Mutl & Joachim Zietz, 2014. "Opting for a Green Certificate: The Impact of Local Attitudes and Economic Conditions," Journal of Real Estate Research, American Real Estate Society, vol. 36(4), pages 435-474.

    Cited by:

    1. Yana Akhtyrska & Franz Fuerst, 2021. "People or Systems: Does Productivity Enhancement Matter More than Energy Management in LEED Certified Buildings?," Sustainability, MDPI, vol. 13(24), pages 1-35, December.
    2. Weimin Ma & Zitong Ren & Hua Ke, 2022. "Green Housing Subsidy Strategies Considering Consumers’ Green Preference," Sustainability, MDPI, vol. 14(5), pages 1-22, February.
    3. Sun, Chuanwang & Xu, Zhehong & Zheng, Hongwei, 2023. "Green transformation of the building industry and the government policy effects: Policy simulation based on the DSGE model," Energy, Elsevier, vol. 268(C).
    4. Zhang, Li & Liu, Hongyu & Zhang, Xiaoling, 2024. "Enhancing green housing diffusion through density bonuses: An analysis using the Use-Purchase-Supply model," Land Use Policy, Elsevier, vol. 147(C).
    5. Yajing Zhang & Jingfeng Yuan & Lingzhi Li & Hu Cheng, 2019. "Proposing a Value Field Model for Predicting Homebuyers’ Purchasing Behavior of Green Residential Buildings: A Case Study in China," Sustainability, MDPI, vol. 11(23), pages 1-31, December.
    6. Pleasa Serin Abraham & Haripriya Gundimeda, 2020. "Greening offices: Willingness to pay for green-certified office spaces in Bengaluru, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(3), pages 1839-1857, March.
    7. Zhang, Li & Wu, Jing & Liu, Hongyu, 2018. "Policies to enhance the drivers of green housing development in China," Energy Policy, Elsevier, vol. 121(C), pages 225-235.

  6. Jan Mutl & Michael Pfaffermayr, 2011. "The Hausman test in a Cliff and Ord panel model," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 48-76, February.

    Cited by:

    1. Ernest Miguélez & R. Moreno, 2015. "Knowledge flows and the absorptive capacity of regions," Post-Print hal-03141606, HAL.
    2. Harry Kelejian & Peter Murrell & Oleksandr Shepotylo, 2007. "Spatial Spillovers in the Development of Institutions," Electronic Working Papers 07-001, University of Maryland, Department of Economics.
    3. Yuan Zhang & Yiguo Sun & Thanasis Stengos, 2019. "Spatial Dependence in the Residential Canadian Housing Market," The Journal of Real Estate Finance and Economics, Springer, vol. 58(2), pages 223-263, February.
    4. Garloff, Alfred & Pohl, Carsten & Schanne, Norbert, 2011. "Do small labor market entry cohorts reduce unemployment?," IAB-Discussion Paper 201118, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Anna Gloria Bill`e & Marco Rogna, 2020. "The Effect of Weather Conditions on Fertilizer Applications: A Spatial Dynamic Panel Data Analysis," Papers 2002.03922, arXiv.org, revised Dec 2020.
    6. Juan Manuel Aristizábal & Gustavo A. García, 2021. "Regional economic growth and convergence: The role of institutions and spillover effects in Colombia," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(4), pages 1146-1161, August.
    7. Hasan Engin Duran & Pawe³ Gajewski, 2023. "State-level Taylor rule and monetary policy stress," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 18(1), pages 89-120, March.
    8. Karanki, Fecri & Lim, Siew Hoon & Choi, Bong Jin, 2020. "The determinants of aeronautical charges of U.S. airports: A spatial analysis," Journal of Air Transport Management, Elsevier, vol. 86(C).
    9. Schanne, Norbert, 2012. "The formation of experts' expectations on labour markets : do they run with the pack?," IAB-Discussion Paper 201225, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    10. Badi H. Baltagi & Peter H. Egger, 2014. "Firm-Level Productivity Spillovers in China's Chemical Industry: A Spatial Hausman-Taylor Approach," Center for Policy Research Working Papers 173, Center for Policy Research, Maxwell School, Syracuse University.
    11. Nicholas Campisi & Hill Kulu & Júlia Mikolai & Sebastian Klüsener & Mikko Myrskylä, 2020. "A spatial perspective on the Nordic fertility decline: the role of economic and social uncertainty in fertility trends," MPIDR Working Papers WP-2020-036, Max Planck Institute for Demographic Research, Rostock, Germany.
    12. Harald Badinger & Peter Egger, 2014. "Fixed Effects and Random Effects Estimation of Higher-Order Spatial Autoregressive Models with Spatial Autoregressive and Heteroskedastic Disturbances," Department of Economics Working Papers wuwp173, Vienna University of Economics and Business, Department of Economics.
    13. Harry H. Kelejian & Gianfranco Piras, 2016. "A J test for dynamic panel model with fixed effects, and nonparametric spatial and time dependence," Empirical Economics, Springer, vol. 51(4), pages 1581-1605, December.
    14. Matthias Arnold & Dominik Wied, 2014. "Improved GMM estimation of random effects panel data models with spatially correlated error components," Papers in Regional Science, Wiley Blackwell, vol. 93(1), pages 77-99, March.
    15. Zeynep Elburz & Karima Kourtit & Peter Nijkamp, 2022. "Well-Being and Geography: Modelling Differences in Regional Well-Being Profiles in Case of Spatial Dependence—Evidence from Turkey," Sustainability, MDPI, vol. 14(24), pages 1-15, December.
    16. He, Ming & Chen, Yang & Schramm, Ronald M., 2016. "Agglomeration and Technological Spillovers: Firm-Level Evidence from China's Electric Apparatus Industry," RIEI Working Papers 2016-02, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    17. Alberto Gude & Inmaculada Álvarez & Luis Orea, 2018. "Heterogeneous spillovers among Spanish provinces: a generalized spatial stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 50(3), pages 155-173, December.
    18. Ponce, Pablo & Yunga, Fernando & Larrea-Silva, Jhohana & Aguirre, Nikolay, 2023. "Spatial determinants of income inequality at the global level: The role of natural resources," Resources Policy, Elsevier, vol. 84(C).
    19. Achim Ahrens & Arnab Bhattacharjee, 2015. "Two-Step Lasso Estimation of the Spatial Weights Matrix," Econometrics, MDPI, vol. 3(1), pages 1-28, March.
    20. Millo, Giovanni, 2014. "Maximum likelihood estimation of spatially and serially correlated panels with random effects," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 914-933.
    21. Álvarez-Gamboa, Javier & Cabrera-Barona, Pablo & Jácome-Estrella, Hugo, 2021. "Financial inclusion and multidimensional poverty in Ecuador: A spatial approach," World Development Perspectives, Elsevier, vol. 22(C).
    22. Su, Liangjun & Yang, Zhenlin, 2015. "QML estimation of dynamic panel data models with spatial errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 230-258.
    23. Koranteng, Barbara & You, Kefei, 2024. "Fintech and financial stability: Evidence from spatial analysis for 25 countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 93(C).
    24. Chiara Castelli & Angela Parenti, 2020. "Commuting in Europe: An Inter-regional Analysis on its Determinants and Spatial Effects," Working Papers 2020.19, Fondazione Eni Enrico Mattei.
    25. Guilherme Mendes Resende & Alexandre Xavier Ywata de Carvalho & Patrícia Alessandra Morita Sakowski, 2013. "Evaluating Multiple Spatial Dimensions of Economic Growth in Brazil Using Spatial Panel Data Models (1970 - 2000)," Discussion Papers 1830a, Instituto de Pesquisa Econômica Aplicada - IPEA.
    26. Gabriel Rodríguez & Juan Palomino, 2019. "Peru's Regional Growth and Convergence in 1979-2017: An Empirical Spatial Panel Data Analysis," Documentos de Trabajo / Working Papers 2019-478, Departamento de Economía - Pontificia Universidad Católica del Perú.
    27. Haiyong Zhang & Xinyu Wang, 2018. "The impact of structural adjustment on housing prices in China," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 32(1), pages 108-119, May.
    28. Carolina Guevara & Corinne Autant-Bernard, 2013. "Technological interdependence between south american countries : a spatial panel data growth model," Working Papers halshs-00803541, HAL.
    29. Fabio Padovano & Ilaria Petrarca, 2014. "Are the responsibility and yardstick competition hypotheses mutually consistent?," Post-Print halshs-00911855, HAL.
    30. Glass, Anthony J. & Kenjegalieva, Karligash & Sickles, Robin C. & Weyman-Jones, Thomas, 2016. "The Spatial Efficiency Multiplier and Random Effects in Spatial Stochastic Frontier Models," Working Papers 16-002, Rice University, Department of Economics.
    31. Badi H. Baltagi & Yin-Fang Yen, 2014. "Hospital Treatment Rates and Spill-Over Effects: Does Ownership Matter?," Center for Policy Research Working Papers 165, Center for Policy Research, Maxwell School, Syracuse University.
    32. Cameron McIntosh, 2014. "The presence of an error term does not preclude causal inference in regression: a comment on Krause (2012)," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 243-250, January.
    33. Akinola Ezekiel Morakinyo & Mabutho Sibanda, 2016. "The Determinants of Non-Performing Loans in the MINT Economies," Journal of Economics and Behavioral Studies, AMH International, vol. 8(5), pages 39-55.
    34. Yu, Haijing & Devece, Caarlos & Martinez, José Manuel Guaita & Xu, Bing, 2021. "An analysis of the paradox in R&D. Insight from a new spatial heterogeneity model," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    35. Harald Badinger & Peter Egger, 2016. "Productivity Spillovers Across Countries and Industries: New Evidence From OECD Countries," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(4), pages 501-521, August.
    36. Dean, Matthew D. & Kockelman, Kara M., 2021. "Spatial variation in shared ride-hail trip demand and factors contributing to sharing: Lessons from Chicago," Journal of Transport Geography, Elsevier, vol. 91(C).
    37. Qingchen Liu & Xinyi Li & Tao Liu & Xiaojun Zhao, 2020. "Spatio-Temporal Correlation Analysis of Air Quality in China: Evidence from Provincial Capitals Data," Sustainability, MDPI, vol. 12(6), pages 1-21, March.
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  7. Mutl, Jan & Pfaffermayr, Michael, 2010. "A note on the Cliff and Ord test for spatial correlation in panel models," Economics Letters, Elsevier, vol. 108(2), pages 225-228, August.

    Cited by:

    1. Michael Pfaffermayr, 2013. "The Cliff and Ord Test for Spatial Correlation of the Disturbances in Unbalanced Panel Models," International Regional Science Review, , vol. 36(4), pages 492-506, October.
    2. Kassoum Ayouba, 2023. "Spatial dependence in production frontier models," Journal of Productivity Analysis, Springer, vol. 60(1), pages 21-36, August.

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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 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 (5) 2002-07-10 2008-11-11 2009-02-22 2009-05-23 2013-05-22. Author is listed
  2. NEP-GEO: Economic Geography (3) 2008-11-11 2009-05-23 2010-07-31
  3. NEP-URE: Urban and Real Estate Economics (3) 2008-11-11 2009-05-23 2010-07-31
  4. NEP-ETS: Econometric Time Series (2) 2002-07-04 2013-05-22
  5. NEP-INO: Innovation (2) 2013-03-16 2016-02-12
  6. NEP-CBA: Central Banking (1) 2009-02-22
  7. NEP-CSE: Economics of Strategic Management (1) 2013-03-16
  8. NEP-EFF: Efficiency and Productivity (1) 2013-03-16
  9. NEP-ENE: Energy Economics (1) 2016-02-12
  10. NEP-ENV: Environmental Economics (1) 2021-04-26

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