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Suleyman Taspinar

Personal Details

First Name:Suleyman
Middle Name:
Last Name:Taspinar
Suffix:
RePEc Short-ID:pta720
[This author has chosen not to make the email address public]
https://sites.google.com/site/gcsuleymantaspinar/
Terminal Degree:2014 Department of Economics; Graduate Center; City University of New York (CUNY) (from RePEc Genealogy)

Affiliation

Department of Economics
Queens College
City University of New York (CUNY)

New York City, New York (United States)
http://www.qc-econ-bba.org/
RePEc:edi:deqcuus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Taspinar, Suleyman & Dogan, Osman & Bera, Anil K., 2017. "GMM Gradient Tests for Spatial Dynamic Panel Data Models," MPRA Paper 82830, University Library of Munich, Germany.
  2. Dogan, Osman & Taspinar, Suleyman & Bera, Anil K., 2017. "Simple Tests for Social Interaction Models with Network Structures," MPRA Paper 82828, University Library of Munich, Germany.
  3. Dogan, Osman & Taspinar, Suleyman, 2016. "Bayesian Inference in Spatial Sample Selection Models," MPRA Paper 82829, University Library of Munich, Germany.
  4. Ortega, Francesc & Taspinar, Süleyman, 2016. "Rising Sea Levels and Sinking Property Values: The Effects of Hurricane Sandy on New York's Housing Market," IZA Discussion Papers 10374, Institute of Labor Economics (IZA).
  5. Osman Dogan & Suleyman Taspinar, 2013. "GMM Estimation of Spatial Autoregressive Models with Autoregressive and Heteroskedastic Disturbances," Working Papers 1, City University of New York Graduate Center, Ph.D. Program in Economics.

Articles

  1. Taşpınar Süleyman & Doğan Osman, 2017. "Teaching Size and Power Properties of Hypothesis Tests Through Simulations," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-15, January.
  2. Vijverberg, Chu-Ping C. & Vijverberg, Wim P.M. & Taşpınar, Süleyman, 2016. "Linking Tukey’s legacy to financial risk measurement," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 595-615.
  3. Doğan, Osman & Taşpınar, Süleyman, 2014. "Spatial autoregressive models with unknown heteroskedasticity: A comparison of Bayesian and robust GMM approach," Regional Science and Urban Economics, Elsevier, vol. 45(C), pages 1-21.
  4. Doğan, Osman & Taşpınar, Süleyman, 2013. "GMM estimation of spatial autoregressive models with moving average disturbances," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 903-926.

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. Taspinar, Suleyman & Dogan, Osman & Bera, Anil K., 2017. "GMM Gradient Tests for Spatial Dynamic Panel Data Models," MPRA Paper 82830, University Library of Munich, Germany.

    Cited by:

    1. Jieun Lee, 2022. "Testing Endogeneity of Spatial Weights Matrices in Spatial Dynamic Panel Data Models," Papers 2209.05563, arXiv.org.
    2. Anil K. Bera & Osman Doğan & Süleyman Taşpınar & Monalisa Sen, 2020. "Specification tests for spatial panel data models," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-39, December.
    3. Carmelo Algeri & Antonio F. Forgione & Carlo Migliardo, 2022. "Do spatial dependence and market power matter in the diversification of cooperative banks?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 51(3), November.
    4. Bera, Anil K. & Doğan, Osman & Taşpınar, Süleyman, 2018. "Simple tests for endogeneity of spatial weights matrices," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 130-142.
    5. Zhenlin Yang, 2021. "Joint tests for dynamic and spatial effects in short panels with fixed effects and heteroskedasticity," Empirical Economics, Springer, vol. 60(1), pages 51-92, January.
    6. Ye Yang & Osman Doğan & Süleyman Taşpınar, 2023. "Observed-data DIC for spatial panel data models," Empirical Economics, Springer, vol. 64(3), pages 1281-1314, March.
    7. Yu Hao & Shang Gao & Yunxia Guo & Zhiqiang Gai & Haitao Wu, 2021. "Measuring the nexus between economic development and environmental quality based on environmental Kuznets curve: a comparative study between China and Germany for the period of 2000–2017," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16848-16873, November.
    8. Ruslan Safarov & Zhanat Shomanova & Yuriy Nossenko & Zhandos Mussayev & Ayana Shomanova, 2024. "Digital Visualization of Environmental Risk Indicators in the Territory of the Urban Industrial Zone," Sustainability, MDPI, vol. 16(12), pages 1-40, June.

  2. Ortega, Francesc & Taspinar, Süleyman, 2016. "Rising Sea Levels and Sinking Property Values: The Effects of Hurricane Sandy on New York's Housing Market," IZA Discussion Papers 10374, Institute of Labor Economics (IZA).

    Cited by:

    1. Justin Tyndall, 2021. "Sea Level Rise and Home Prices: Evidence from Long Island," Working Papers 2021-2, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    2. Cano-Urbina, Javier & Clapp, Christopher M. & Willardsen, Kevin, 2019. "The effects of the BP Deepwater Horizon oil spill on housing markets," Journal of Housing Economics, Elsevier, vol. 43(C), pages 131-156.
    3. Agustín Indaco & Francesc Ortega & Süleyman Taṣpınar, 2021. "Hurricanes, flood risk and the economic adaptation of businesses," Journal of Economic Geography, Oxford University Press, vol. 21(4), pages 557-591.
    4. Stefano Giglio & Bryan Kelly & Johannes Stroebel, 2021. "Climate Finance," Annual Review of Financial Economics, Annual Reviews, vol. 13(1), pages 15-36, November.
    5. Robert J. Johnston & Klaus Moeltner, 2019. "Special Flood Hazard Effects on Coastal and Interior Home Values: One Size Does Not Fit All," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(1), pages 181-210, September.
    6. Abbie A. Rogers & Fiona L. Dempster & Jacob I. Hawkins & Robert J. Johnston & Peter C. Boxall & John Rolfe & Marit E. Kragt & Michael P. Burton & David J. Pannell, 2019. "Valuing non-market economic impacts from natural hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(2), pages 1131-1161, November.
    7. Seung Kyum Kim, 2020. "The Economic Effects of Climate Change Adaptation Measures: Evidence from Miami-Dade County and New York City," Sustainability, MDPI, vol. 12(3), pages 1-19, February.
    8. Daniel Aaronson & Scott A. Brave & R. Andrew Butters & Daniel W. Sacks & Boyoung Seo, 2020. "Using the Eye of the Storm to Predict the Wave of Covid-19 UI Claims," Working Paper Series WP 2020-10, Federal Reserve Bank of Chicago.
    9. Christopher J. Amante & Jacob Dice & David Rodziewicz & Eugene Wahl, 2020. "Housing Market Value Impairment from Future Sea-level Rise Inundation," Research Working Paper RWP 20-05, Federal Reserve Bank of Kansas City.
    10. Matthew Gibson & Jamie T. Mullins & Alison Hill, 2019. "Climate Risk and Beliefs: Evidence from New York Floodplains," Department of Economics Working Papers 2019-02, Department of Economics, Williams College.
    11. Graff Zivin, Joshua & Liao, Yanjun & Panassié, Yann, 2023. "How hurricanes sweep up housing markets: Evidence from Florida," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    12. Jose J. Canals-Cerda & Raluca Roman, 2021. "Climate Change and Consumer Finance: A Very Brief Literature Review," Consumer Finance Institute discussion papers 21-04, Federal Reserve Bank of Philadelphia.

  3. Osman Dogan & Suleyman Taspinar, 2013. "GMM Estimation of Spatial Autoregressive Models with Autoregressive and Heteroskedastic Disturbances," Working Papers 1, City University of New York Graduate Center, Ph.D. Program in Economics.

    Cited by:

    1. Bera, Anil K. & Doğan, Osman & Taşpınar, Süleyman, 2018. "Simple tests for endogeneity of spatial weights matrices," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 130-142.
    2. Osman Doğan, 2015. "Heteroskedasticity of Unknown Form in Spatial Autoregressive Models with a Moving Average Disturbance Term," Econometrics, MDPI, vol. 3(1), pages 1-27, February.
    3. Otto, Philipp & Sibbertsen, Philipp, 2023. "Spatial autoregressive fractionally integrated moving average model," Hannover Economic Papers (HEP) dp-712, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    4. Doğan, Osman & Taşpınar, Süleyman, 2013. "GMM estimation of spatial autoregressive models with moving average disturbances," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 903-926.
    5. Osman Dogan, 2013. "Heteroskedasticity of Unknown Form in Spatial Autoregressive Models with Moving Average Disturbance Term," Working Papers 2, City University of New York Graduate Center, Ph.D. Program in Economics.

Articles

  1. Doğan, Osman & Taşpınar, Süleyman, 2014. "Spatial autoregressive models with unknown heteroskedasticity: A comparison of Bayesian and robust GMM approach," Regional Science and Urban Economics, Elsevier, vol. 45(C), pages 1-21.

    Cited by:

    1. James P. LeSage & R. Kelley Pace, 2018. "Spatial econometric Monte Carlo studies: raising the bar," Empirical Economics, Springer, vol. 55(1), pages 17-34, August.
    2. Dogan, Osman & Taspinar, Suleyman, 2016. "Bayesian Inference in Spatial Sample Selection Models," MPRA Paper 82829, University Library of Munich, Germany.
    3. Agovino, Massimiliano & Aprile, Maria Carmela & Garofalo, Antonio & Mariani, Angela, 2018. "Cancer mortality rates and spillover effects among different areas: A case study in Campania (southern Italy)," Social Science & Medicine, Elsevier, vol. 204(C), pages 67-83.

  2. Doğan, Osman & Taşpınar, Süleyman, 2013. "GMM estimation of spatial autoregressive models with moving average disturbances," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 903-926.

    Cited by:

    1. Jieun Lee, 2022. "Testing Endogeneity of Spatial Weights Matrices in Spatial Dynamic Panel Data Models," Papers 2209.05563, arXiv.org.
    2. Bera, Anil K. & Doğan, Osman & Taşpınar, Süleyman, 2018. "Simple tests for endogeneity of spatial weights matrices," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 130-142.
    3. Doğan, Osman & Taşpınar, Süleyman, 2014. "Spatial autoregressive models with unknown heteroskedasticity: A comparison of Bayesian and robust GMM approach," Regional Science and Urban Economics, Elsevier, vol. 45(C), pages 1-21.
    4. Otto, Philipp & Sibbertsen, Philipp, 2023. "Spatial autoregressive fractionally integrated moving average model," Hannover Economic Papers (HEP) dp-712, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

More information

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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 5 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 (4) 2013-12-20 2018-02-05 2018-02-12 2018-02-12
  2. NEP-URE: Urban and Real Estate Economics (4) 2013-12-20 2016-12-11 2018-02-05 2018-02-12
  3. NEP-ORE: Operations Research (3) 2013-12-20 2018-02-05 2018-02-12
  4. NEP-GEO: Economic Geography (1) 2013-12-20

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