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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

+49 611 7102 0

Gustav-Stresemann-Ring 3, 65189 Wiesbaden
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," iCite Working Papers 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. "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.
  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," iCite Working Papers 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.

  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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Diego Winkelried Quezada & Miguel Ángel Saldarriaga, 2012. "Latin American Growth Partners," Premio de Banca Central Rodrigo Gómez / Central Banking Award "Rodrigo Gómez", Centro de Estudios Monetarios Latinoamericanos, CEMLA, number prg2012eng, July-Dece.
    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. Diego Winkelried Quezada & Miguel Ángel Saldarriaga, 2012. "Socios comerciales y crecimiento en América Latina," Premio de Banca Central Rodrigo Gómez / Central Banking Award "Rodrigo Gómez", Centro de Estudios Monetarios Latinoamericanos, CEMLA, number prg2012, July-Dece.

  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. 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.
    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.

  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, University of 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, revised 27 Sep 2017.
    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. 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. 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.
  2. 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. 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).

  3. 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. 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, Open Access Journal, vol. 11(23), pages 1-31, December.
    2. 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.
    3. 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.

  4. 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. Alfred Garloff & Carsten Pohl & Norbert Schanne, 2013. "Do small labor market entry cohorts reduce unemployment?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(15), pages 379-406.
    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. 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.
    4. Haiyong Zhang & Xinyu Wang, 2018. "The impact of structural adjustment on housing prices in China," Asian-Pacific Economic Literature, Asia Pacific School of Economics and Government, The Australian National University, vol. 32(1), pages 108-119, May.
    5. Fabio Padovano & Ilaria Petrarca, 2014. "Are the responsibility and yardstick competition hypotheses mutually consistent?," Post-Print halshs-00911855, HAL.
    6. 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.
    7. 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.
    8. Miguélez, Ernest & Moreno, Rosina, 2015. "Knowledge flows and the absorptive capacity of regions," Research Policy, Elsevier, vol. 44(4), pages 833-848.
    9. 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).
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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).
    16. Corinne Autant-Bernard & Carolina Guevara, 2015. "Technological interdependence between South American countries: a spatial panel data growth model," Post-Print halshs-00949842, HAL.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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).
    24. 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.
    25. 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.
    26. Millo, Giovanni & Piras, Gianfranco, 2012. "splm: Spatial Panel Data Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i01).
    27. 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).
    28. 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.
    29. 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).
    30. 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.
    31. 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.
    32. 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.
    33. Achim Ahrens & Arnab Bhattacharjee, 2015. "Two-Step Lasso Estimation of the Spatial Weights Matrix," Econometrics, MDPI, Open Access Journal, vol. 3(1), pages 1-28, March.
    34. 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.
    35. 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.
    36. Heng Chen & Matthew Strathearn, 2020. "A Spatial Model of Bank Branches in Canada," Staff Working Papers 20-4, Bank of Canada.
    37. Harry H. Kelejian & Gianfranco Piras, 2013. "A J-Test for Panel Models with Fixed Effects, Spatial and Time," Working Papers Working Paper 2013-03, Regional Research Institute, West Virginia University.
    38. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2014. "Firm-level Productivity Spillovers in China's Chemical Industry: A Spatial Hausman-Taylor Approach," Center for Policy Research Working Papers 175, Center for Policy Research, Maxwell School, Syracuse University.
    39. Elzbieta Szulc & Dagna Wleklinska & Karolina Gorna & Joanna Gorna, 2014. "The significance of distance between stock exchanges undergoing the process of convergence: An analysis of selected world stock exchanges during the period of 2004-2012," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 14, pages 125-144.
    40. Fukasawa, Eiji & Fukasawa, Takeshi & Ogawa, Hikaru, 2020. "Intergovernmental competition for donations: The case of the Furusato Nozei program in Japan," Journal of Asian Economics, Elsevier, vol. 67(C).
    41. Alexey A. Egorov & Oleg V. Leshukov & Alexander D. Gromov, 2017. "The Role of Universities in Economic Development of Russian Regions," HSE Working papers WP BRP 41/EDU/2017, National Research University Higher School of Economics.
    42. Jiyong Chen & Dabo Chen & Aiping Yao, 2020. "Trade development between China and countries along the Belt and Road: A spatial econometric analysis based on trade competitiveness and complementarity," Pacific Economic Review, Wiley Blackwell, vol. 25(2), pages 205-227, May.
    43. Arfat Ahmad Sofi & Subash Sasidharan, 2018. "Do Indian States Mimic, Compete or Interact in Local Public Spending? A Spatial Econometric Analysis," Asian Economic Journal, East Asian Economic Association, vol. 32(2), pages 187-213, June.
    44. Harald Badinger & Peter Egger, 2013. "Estimation and testing of higher-order spatial autoregressive panel data error component models," Journal of Geographical Systems, Springer, vol. 15(4), pages 453-489, October.
    45. Rodolfo Metulini, 2013. "A structural analysis on Gravity of Trade regarding the possibility to remove distance from the model," ERSA conference papers ersa13p520, European Regional Science Association.
    46. 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.
    47. 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.
    48. 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].
    49. 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.
    50. 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.
    51. 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.
    52. 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.
    53. 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, Open Access Journal, vol. 12(6), pages 1-21, March.
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    57. Moscone, Francesco & Tosetti, Elisa & Canepa, Alessandra, 2014. "Real estate market and financial stability in US metropolitan areas: A dynamic model with spatial effects," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 129-146.

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Statistics

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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 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 & 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 & Productivity (1) 2013-03-16
  9. NEP-ENE: Energy Economics (1) 2016-02-12

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