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Jan Mutl

Personal Details

First Name:Jan
Middle Name:
Last Name:Mutl
Suffix:
RePEc Short-ID:pmu155
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. 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.
  2. Mutl, Jan & Sögner, Leopold, 2013. "Parameter Estimation and Inference with Spatial Lags and Cointegration," Economics Series 296, Institute for Advanced Studies.
  3. Dieppe, Alistair & Mutl, Jan, 2013. "International R&D Spillovers: Technology Transfer vs. R&D Synergies," Working Paper Series 1504, European Central Bank.
  4. Bode, Eckhardt & Mutl, Jan, 2010. "Testing Nonlinear New Economic Geography Models," Economics Series 253, Institute for Advanced Studies.
  5. Mutl, Jan, 2009. "Consistent Estimation of Global VAR Models," Economics Series 234, Institute for Advanced Studies.
  6. 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.
  7. Jan Mutl, 2006. "Misspecification of Space: An Illustration Using Growth Convergence Regressions," Computing in Economics and Finance 2006 436, Society for Computational Economics.
  8. 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.
  9. 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. 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.
  2. 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.
  3. Andreas Mense & Eva Lohse & Jan Mutl & Heiko Kirchhain & Reiner Braun & Andreas Dombret, 2016. "Rising Real-estate prices and an Increasing Housing Shortage: An Unbalanced Housing Market?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(16), pages 03-25, August.
  4. 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.
  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.
  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.
  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.

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. 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.

  2. 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.

  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. Dumont, Michel, 2022. "Public support to business research and development in Belgium: fourth evaluation," MPRA Paper 115418, University Library of Munich, Germany.
    3. Schulte, Patrick, 2021. "Skill Bias magnified: Identifying the role of international technology diffusion," Journal of International Economics, Elsevier, vol. 129(C).
    4. 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.
    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. Bode, Eckhardt & Mutl, Jan, 2010. "Testing Nonlinear New Economic Geography Models," Economics Series 253, Institute for Advanced Studies.

    Cited by:

    1. 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.
    2. 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.
    3. 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).

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

    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.

  6. 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. 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.
    3. Fingleton, Bernard, 2010. "Predicting the Geography of House Prices," MPRA Paper 21113, University Library of Munich, Germany.
    4. 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.
    5. Moscone, Francesco & Tosetti, Elisa, 2010. "GMM estimation of Spatial Panels with Fixed Effects," MPRA Paper 20152, University Library of Munich, Germany.
    6. 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.
    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.
    8. 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.

  7. 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.

  8. 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. 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.
    3. Gerald A. Carlino & Thorsten Drautzburg, 2017. "The Role of Startups for Local Labor Markets," Working Papers 17-31, Federal Reserve Bank of Philadelphia.
    4. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.

  9. 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. 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.
    2. Mutl, Jan, 2009. "Consistent Estimation of Global VAR Models," Economics Series 234, Institute for Advanced Studies.

Articles

  1. 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. 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. 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.
  3. Andreas Mense & Eva Lohse & Jan Mutl & Heiko Kirchhain & Reiner Braun & Andreas Dombret, 2016. "Rising Real-estate prices and an Increasing Housing Shortage: An Unbalanced Housing Market?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(16), pages 03-25, August.

    Cited by:

    1. 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.
    2. Thomsen, Stephan L. & Vogt, Daniel & Brausewetter, Lars, 2019. "Wohnungsmarkt und Wohnungspolitik in Deutschland: Situation und Optionen," IZA Standpunkte 97, Institute of Labor Economics (IZA).

  4. 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. Weimin Ma & Zitong Ren & Hua Ke, 2022. "Green Housing Subsidy Strategies Considering Consumers’ Green Preference," Sustainability, MDPI, vol. 14(5), pages 1-22, February.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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).

  5. 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. 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.
    2. 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.
    3. 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).
    4. 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.
    5. 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.
    6. Fabio Padovano & Ilaria Petrarca, 2014. "Are the responsibility and yardstick competition hypotheses mutually consistent?," Post-Print halshs-00911855, HAL.
    7. 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.
    8. 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.
    9. Miguélez, Ernest & Moreno, Rosina, 2015. "Knowledge flows and the absorptive capacity of regions," Research Policy, Elsevier, vol. 44(4), pages 833-848.
    10. Chamberlin, Jordan, 2013. "Infrastructure, services, and smallholder income growth: evidence from Kenyan panel data," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 161269, African Association of Agricultural Economists (AAAE).
    11. Jung, Samuel Moon & Vijverberg, Chu-Ping C., 2019. "Financial development and income inequality in China – A spatial data analysis," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 295-320.
    12. Baylis, Kathy & Garduño-Rivera, Rafael & Piras, Gianfranco, 2012. "The distributional effects of NAFTA in Mexico: Evidence from a panel of municipalities," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 286-302.
    13. Coro Chasco & Maricruz Lacalle-Calderon & Javier Alfonso-Gil, 2021. "Spatial Diffusion of Civil Liberty," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 44(87), pages 146-169.
    14. Arbués, Pelayo & Baños, José F. & Mayor, Matías, 2015. "The spatial productivity of transportation infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 166-177.
    15. Chen, Jie & Zhou, Qian, 2017. "City size and urban labor productivity in China: New evidence from spatial city-level panel data analysis," Economic Systems, Elsevier, vol. 41(2), pages 165-178.
    16. Moscone, F. & Tosetti, E., 2011. "GMM estimation of spatial panels with fixed effects and unknown heteroskedasticity," Regional Science and Urban Economics, Elsevier, vol. 41(5), pages 487-497, September.
    17. Han Bao & Tangwei Teng & Xianzhong Cao & Shengpeng Wang & Senlin Hu, 2022. "The Threshold Effect of Knowledge Diversity on Urban Green Innovation Efficiency Using the Yangtze River Delta Region as an Example," IJERPH, MDPI, vol. 19(17), pages 1-18, August.
    18. Gude, Alberto & Álvarez, Inmaculada C. & Orea, Luis, 2017. "Heterogeneous spillovers among Spanish provinces: A generalized spatial stochastic frontier model," Efficiency Series Papers 2017/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    19. Corinne Autant-Bernard & Carolina Guevara, 2015. "Technological interdependence between South American countries: a spatial panel data growth model," Post-Print halshs-00949842, HAL.
    20. Frank Davenport, 2017. "Estimating standard errors in spatial panel models with time varying spatial correlation," Papers in Regional Science, Wiley Blackwell, vol. 96, pages 155-177, March.
    21. Carfora, Alfonso & Romano, Antonio A. & Ronghi, Monica & Scandurra, Giuseppe, 2017. "Renewable generation across Italian regions: Spillover effects and effectiveness of European Regional Fund," Energy Policy, Elsevier, vol. 102(C), pages 132-141.
    22. Fingleton, Bernard & Szumilo, Nikodem, 2019. "Simulating the impact of transport infrastructure investment on wages: A dynamic spatial panel model approach," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 148-164.
    23. Ming He & Yang Chen & Ron Schramm, 2018. "Technological spillovers in space and firm productivity: Evidence from China’s electric apparatus industry," Urban Studies, Urban Studies Journal Limited, vol. 55(11), pages 2522-2541, August.
    24. Guilherme Mendes Resende & Alexandre Xavier Ywata Carvalho & Patrícia Alessandra Morita Sakowski & Túlio Antonio Cravo, 2016. "Evaluating multiple spatial dimensions of economic growth in Brazil using spatial panel data models," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 1-31, January.
    25. Umbach, Tim, 2020. "A Vicious Cycle of Regional Unemployment and Crime? - Evidence from German Counties," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224611, Verein für Socialpolitik / German Economic Association.
    26. Elzbieta Szulc & Dagna Wleklinska, 2015. "Spatio-temporal Analysis of Convergence of Development Level of Selected Stock Exchanges in the Period of 2004–2012," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 15, pages 5-26.
    27. Kelejian, Harry H. & Murrell, Peter & Shepotylo, Oleksandr, 2013. "Spatial spillovers in the development of institutions," Journal of Development Economics, Elsevier, vol. 101(C), pages 297-315.
    28. Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.
    29. 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.
    30. 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).
    31. 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.
    32. 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).
    33. 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).
    34. Badi H. Baltagi & Long Liu, 2016. "Random Effects, Fixed Effects and Hausman's Test for the Generalized Mixed Regressive Spatial Autoregressive Panel Data Model," Econometric Reviews, Taylor & Francis Journals, vol. 35(4), pages 638-658, April.
    35. Harald Badinger & Peter Egger, 2015. "Fixed Effects and Random Effects Estimation of Higher-order Spatial Autoregressive Models with Spatial Autoregressive and Heteroscedastic Disturbances," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(1), pages 11-35, March.
    36. Millo, Giovanni & Piras, Gianfranco, 2012. "splm: Spatial Panel Data Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i01).
    37. Gianfranco Piras, 2013. "Efficient GMM Estimation of a Cliff and Ord Panel Data Model with Random Effects," Working Papers Working Paper 2013-08, Regional Research Institute, West Virginia University.
    38. Hasan Engin Duran & Burak Dindaroğlu, 2021. "Regional inflation persistence in Turkey," Growth and Change, Wiley Blackwell, vol. 52(1), pages 460-491, March.
    39. Zhou, Qian & Shao, Qinglong & Zhang, Xiaoling & Chen, Jie, 2020. "Do housing prices promote total factor productivity? Evidence from spatial panel data models in explaining the mediating role of population density," Land Use Policy, Elsevier, vol. 91(C).
    40. Badi H. Baltagi & Long Liu, 2014. "Random Effects, Fixed Effects and Hausman’s Test for the Generalized Mixed Regressive Spatial Autoregressive Panel," Center for Policy Research Working Papers 174, Center for Policy Research, Maxwell School, Syracuse University.
    41. Álvarez, Inmaculada & Barbero, Javier & Zofío, José Luis, 2013. "A Panel Data Toolbox for MATLAB," Working Papers in Economic Theory 2013/05, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
    42. Lung‐fei Lee & Jihai Yu, 2012. "Spatial Panels: Random Components Versus Fixed Effects," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(4), pages 1369-1412, November.
    43. Joanna Gorna & Karolina Gorna & Elzbieta Szulc, 2013. "Analysis of ß-Convergence. From Traditional Cross-Section Model to Dynamic Panel Model," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 13, pages 127-144.
    44. Burridge, Peter & Iacone, Fabrizio & Lazarová, Štěpána, 2015. "Spatial effects in a common trend model of US city-level CPI," Regional Science and Urban Economics, Elsevier, vol. 54(C), pages 87-98.
    45. José-María Montero & Gema Fernández-Avilés & Tiziana Laureti, 2021. "A Local Spatial STIRPAT Model for Outdoor NO x Concentrations in the Community of Madrid, Spain," Mathematics, MDPI, vol. 9(6), pages 1-33, March.
    46. 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.
    47. Anna Gloria Billé & Marco Rogna, 2022. "The effect of weather conditions on fertilizer applications: A spatial dynamic panel data analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 3-36, January.
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  6. 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. Kassoum Ayouba, 2023. "Spatial dependence in production frontier models," Journal of Productivity Analysis, Springer, vol. 60(1), pages 21-36, August.
    2. 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.

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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 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 (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

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