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Utku Teksoz

Personal Details

First Name:Utku
Middle Name:
Last Name:Teksoz
Suffix:
RePEc Short-ID:pte32
[This author has chosen not to make the email address public]
http://www.lrz-muenchen.de/~teksoz/

Affiliation

(34%) Credit Suisse (Credit Suisse)

http://www.credit-suisse.com/uk/en/
London

(33%) Business School
University of Greenwich

London, United Kingdom
http://www.gre.ac.uk/schools/business/
RePEc:edi:ecgreuk (more details at EDIRC)

(33%) United Nations

http://www.un.org/
New York

Research output

as
Jump to: Working papers Articles

Working papers

  1. Johann Graf Lambsdorff & Sitki Utku Teksoz, 2002. "Corrupt Relational Contracting," Departmental Discussion Papers 113, University of Goettingen, Department of Economics.

Articles

  1. Krkoska, Libor & Teksoz, Utku, 2009. "How reliable are forecasts of GDP growth and inflation for countries with limited coverage?," Economic Systems, Elsevier, vol. 33(4), pages 376-388, December.
  2. Utku Teksoz, 2008. "Trust in Transition: Cross-Country and Firm Evidence," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 24(2), pages 407-433, October.
  3. Krkoska, Libor & Teksoz, Utku, 2007. "Accuracy of GDP growth forecasts for transition countries: Ten years of forecasting assessed," International Journal of Forecasting, Elsevier, vol. 23(1), pages 29-45.

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. Johann Graf Lambsdorff & Sitki Utku Teksoz, 2002. "Corrupt Relational Contracting," Departmental Discussion Papers 113, University of Goettingen, Department of Economics.

    Cited by:

    1. Rajeev K. Goel & Michael A. Nelson, 2010. "Decentralization of the Size and Scope of Local Governments and Corruption," Working Papers CEB 10-031, ULB -- Universite Libre de Bruxelles.
    2. Goel, Rajeev K. & Korhonen, Iikka, 2011. "Exports and cross-national corruption: A disaggregated examination," Economic Systems, Elsevier, vol. 35(1), pages 109-124, March.
    3. Marta Troya-Martinez & Liam Wren-Lewis, 2021. "Managing relational contracts," PSE Working Papers halshs-01370408, HAL.
    4. Salvatore Barbaro, 2002. "The Distributional Impact of Subsidies to Higher Education - Empirical Evidence from Germany," Departmental Discussion Papers 114, University of Goettingen, Department of Economics.
    5. Corinna Ahlfeld, 2009. "The scapegoat of heterogeneity - How fragmentation influences political decisionmaking," Departmental Discussion Papers 143, University of Goettingen, Department of Economics.
    6. Sascha Wolff, 2006. "Migration und ihre Determinanten im ost-westdeutschen Kontext nach der Wiedervereinigung: Ein Literaturüberblick," Departmental Discussion Papers 130, University of Goettingen, Department of Economics.
    7. Goel, Rajeev K. & Nelson, Michael A., 2007. "Are corrupt acts contagious?: Evidence from the United States," Journal of Policy Modeling, Elsevier, vol. 29(6), pages 839-850.
    8. Malesky, Edmund J. & Nguyen, Thang V. & Bach, Thang N. & Ho, Bao D., 2020. "The effect of market competition on bribery in emerging economies: An empirical analysis of Vietnamese firms," World Development, Elsevier, vol. 131(C).
    9. Thies Büttner & Robert Schwager, 2003. "Regionale Verteilungseffekte der Hochschulfinanzierung und ihre Konsequenzen," Departmental Discussion Papers 119, University of Goettingen, Department of Economics.
    10. Goel, Rajeev K. & Nelson, Michael A., 2008. "Causes of corruption: history, geography and government," BOFIT Discussion Papers 6/2008, Bank of Finland Institute for Emerging Economies (BOFIT).
    11. Kingston, Christopher, 2007. "Parochial corruption," Journal of Economic Behavior & Organization, Elsevier, vol. 63(1), pages 73-87, May.
    12. Rajeev K. Goel & Michael A. Nelson, 2019. "Corruption beyond the glass ceiling: do women entrepreneurs perceive corruption differently?," CESifo Working Paper Series 7606, CESifo.
    13. Mikael Priks, 2012. "Competition among officials and the abuse of power," Public Choice, Springer, vol. 150(3), pages 425-438, March.
    14. Rajeev K. Goel, 2013. "Initiation of corrupt exchanges and severity of corruption," Financial Theory and Practice, Institute of Public Finance, vol. 37(2), pages 207-222.
    15. Nadia Fiorino & Emma Galli & Fabio Padovano, 2013. "Do fiscal decentralization and government fragmentation affect corruption in different ways? Evidence from a panel data analysis," Post-Print halshs-00908653, HAL.
    16. Graf Lambsdorff, Johann & Nell, Mathias, 2005. "Let them take gifts, and cheat those who seek influence," Passauer Diskussionspapiere, Volkswirtschaftliche Reihe V-41-05, University of Passau, Faculty of Business and Economics.
    17. Salvatore Barbaro & Jens Südekum, 2004. "Reforming a complicated income tax system: The political economics perspective," Departmental Discussion Papers 120, University of Goettingen, Department of Economics.
    18. Petra Enß & Robert Schwager, 2006. "Kommunaler Finanzausgleich und Gewerbesteuerhebesätze in Niedersachsen," Departmental Discussion Papers 127, University of Goettingen, Department of Economics.
    19. Renate Ohr, 2009. "European Monetary Union at Ten: Had the German Maastricht Critics Been Wrong?," Departmental Discussion Papers 141, University of Goettingen, Department of Economics.
    20. Salvatore Barbaro, 2003. "The Combined Effect of Taxation and Subsidization on Human Capital Investment," Departmental Discussion Papers 116, University of Goettingen, Department of Economics.
    21. Mathias Nell, 2009. "Contracts obtained by means of bribery: should they be void or valid?," European Journal of Law and Economics, Springer, vol. 27(2), pages 159-176, April.
    22. Lambsdorff, Johann & Nell, Mathias, 2007. "Fighting corruption with asymmetric penalties and leniency," University of Göttingen Working Papers in Economics 59, University of Goettingen, Department of Economics.
    23. Goel, Rajeev K. & Herrala, Risto & Mazhar, Ummad, 2013. "Institutional quality and environmental pollution: MENA countries versus the rest of the world," Economic Systems, Elsevier, vol. 37(4), pages 508-521.

Articles

  1. Krkoska, Libor & Teksoz, Utku, 2009. "How reliable are forecasts of GDP growth and inflation for countries with limited coverage?," Economic Systems, Elsevier, vol. 33(4), pages 376-388, December.

    Cited by:

    1. Dušan Marković & Igor Mladenović & Miloš Milovančević, 2017. "RETRACTED ARTICLE: Estimation of the most influential science and technology factors for economic growth forecasting by soft computing technique," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1133-1146, May.
    2. Chen, Qiwei & Costantini, Mauro & Deschamps, Bruno, 2016. "How accurate are professional forecasts in Asia? Evidence from ten countries," International Journal of Forecasting, Elsevier, vol. 32(1), pages 154-167.
    3. Sokolov-Mladenović, Svetlana & Milovančević, Milos & Mladenović, Igor, 2017. "Evaluation of trade influence on economic growth rate by computational intelligence approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 358-362.
    4. Petra Karanikić & Igor Mladenović & Svetlana Sokolov-Mladenović & Meysam Alizamir, 2017. "RETRACTED ARTICLE: Prediction of economic growth by extreme learning approach based on science and technology transfer," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1395-1401, May.
    5. Tsuchiya, Yoichi, 2023. "Assessing the World Bank’s growth forecasts," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 64-84.
    6. Marković, Dušan & Petković, Dalibor & Nikolić, Vlastimir & Milovančević, Miloš & Petković, Biljana, 2017. "Soft computing prediction of economic growth based in science and technology factors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 217-220.
    7. Talavera, Oleksandr & Tsapin, Andriy & Zholud, Oleksandr, 2012. "Macroeconomic uncertainty and bank lending: The case of Ukraine," Economic Systems, Elsevier, vol. 36(2), pages 279-293.
    8. Maksimović, Goran & Milosavljević, Valentina & Ćirković, Bratislav & Milošević, Božidar & Jović, Srđan & Alizamir, Meysam, 2017. "Analyzing of economic growth based on electricity consumption from different sources," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 37-40.
    9. Đokić, Aleksandar & Jović, Srđan, 2017. "Evaluation of agriculture and industry effect on economic health by ANFIS approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 396-399.
    10. Kordanuli, Bojana & Barjaktarović, Lidija & Jeremić, Ljiljana & Alizamir, Meysam, 2017. "Appraisal of artificial neural network for forecasting of economic parameters," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 515-519.
    11. Yoichi Tsuchiya, 2021. "Thirty‐year assessment of Asian Development Bank's forecasts," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 35(2), pages 18-40, November.
    12. Yoichi Tsuchiya, 2024. "Conservatism and information rigidity of the European Bank for Reconstruction and Development's growth forecast: Quarter‐century assessment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1399-1421, August.
    13. Milačić, Ljubiša & Jović, Srđan & Vujović, Tanja & Miljković, Jovica, 2017. "Application of artificial neural network with extreme learning machine for economic growth estimation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 285-288.
    14. Igor Mladenović & Miloš Milovančević & Svetlana Sokolov-Mladenović, 2017. "RETRACTED ARTICLE: Analyzing of innovations influence on economic growth by fuzzy system," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1297-1304, May.
    15. Maksimović, Goran & Jović, Srđan & Jovanović, Radomir, 2017. "Economic growth rate management by soft computing approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 520-524.
    16. de Mendonça, Helder Ferreira & de Deus, Joseph David Barroso Vasconcelos, 2019. "Central bank forecasts and private expectations: An empirical assessment from three emerging economies," Economic Modelling, Elsevier, vol. 83(C), pages 234-244.

  2. Utku Teksoz, 2008. "Trust in Transition: Cross-Country and Firm Evidence," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 24(2), pages 407-433, October.

    Cited by:

    1. Khalid Sekkat & Pierre-Guillaume Méon, 2015. "The formal and informal institutional framework of capital accumulation," Post-Print CEB, ULB -- Universite Libre de Bruxelles, August.
    2. Maria Litvinova & Maria Luigia Segnana, 2015. "Firm boundaries in Transition countries. The influence of technological and institutional links," DEM Working Papers 2015/05, Department of Economics and Management.
    3. Simona Mateut, 2011. "Reverse trade credit - the use of prepayments by French firms," Discussion Papers 11/12, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    4. Besnik A. Krasniqi & Sameeksha Desai, 2016. "Institutional drivers of high-growth firms: country-level evidence from 26 transition economies," Small Business Economics, Springer, vol. 47(4), pages 1075-1094, December.
    5. Svetlana Avdasheva & Nadezhda Goreyko, 2010. "Governance Structures in Russian manufacturing: assessment using sample survey data," UCL SSEES Economics and Business working paper series 112, UCL School of Slavonic and East European Studies (SSEES).
    6. Xiu, Zongfeng & Liu, Ran & Feng, Pengshuo & Yin, Jingwei, 2023. "Does social culture matter for firms' access to trade credit? Evidence from China," Economic Modelling, Elsevier, vol. 119(C).
    7. Robert Gillanders & Olga Neselevska, 2018. "Public Sector Corruption and Trust in the Private Sector," Journal of International Development, John Wiley & Sons, Ltd., vol. 30(8), pages 1288-1317, November.
    8. Mateut, Simona, 2014. "Reverse trade credit or default risk? Explaining the use of prepayments by firms," Journal of Corporate Finance, Elsevier, vol. 29(C), pages 303-326.
    9. Afandi, Elvin & Kermani, Majid, 2012. "The Relationship between Trust and a Firm’s Access to Financing: Evidence from Transitional Countries," MPRA Paper 46998, University Library of Munich, Germany.

  3. Krkoska, Libor & Teksoz, Utku, 2007. "Accuracy of GDP growth forecasts for transition countries: Ten years of forecasting assessed," International Journal of Forecasting, Elsevier, vol. 23(1), pages 29-45.

    Cited by:

    1. Dušan Marković & Igor Mladenović & Miloš Milovančević, 2017. "RETRACTED ARTICLE: Estimation of the most influential science and technology factors for economic growth forecasting by soft computing technique," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1133-1146, May.
    2. Krkoska, Libor & Teksoz, Utku, 2009. "How reliable are forecasts of GDP growth and inflation for countries with limited coverage?," Economic Systems, Elsevier, vol. 33(4), pages 376-388, December.
    3. Grant Allan, 2012. "Evaluating the usefulness of forecasts of relative growth," Working Papers 1214, University of Strathclyde Business School, Department of Economics.
    4. Niu, Linlin & Xu, Xiu & Chen, Ying, 2017. "An adaptive approach to forecasting three key macroeconomic variables for transitional China," Economic Modelling, Elsevier, vol. 66(C), pages 201-213.
    5. Sokolov-Mladenović, Svetlana & Milovančević, Milos & Mladenović, Igor, 2017. "Evaluation of trade influence on economic growth rate by computational intelligence approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 358-362.
    6. Petra Karanikić & Igor Mladenović & Svetlana Sokolov-Mladenović & Meysam Alizamir, 2017. "RETRACTED ARTICLE: Prediction of economic growth by extreme learning approach based on science and technology transfer," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1395-1401, May.
    7. Tsuchiya, Yoichi, 2023. "Assessing the World Bank’s growth forecasts," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 64-84.
    8. Marković, Dušan & Petković, Dalibor & Nikolić, Vlastimir & Milovančević, Miloš & Petković, Biljana, 2017. "Soft computing prediction of economic growth based in science and technology factors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 217-220.
    9. Đokić, Aleksandar & Jović, Srđan, 2017. "Evaluation of agriculture and industry effect on economic health by ANFIS approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 396-399.
    10. Kordanuli, Bojana & Barjaktarović, Lidija & Jeremić, Ljiljana & Alizamir, Meysam, 2017. "Appraisal of artificial neural network for forecasting of economic parameters," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 515-519.
    11. Lucian Liviu ALBU & Carlos MatéJIMÉNEZ & Mihaela SIMIONESCU, 2015. "The Assessment of Some Macroeconomic Forecasts for Spain using Aggregated Accuracy Indicators," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 30-47, June.
    12. Abhiman Das & Kajal Lahiri & Yongchen Zhao, 2018. "Inflation Expectations in India: Learning from Household Tendency Surveys," Working Papers 2018-03, Towson University, Department of Economics, revised Aug 2018.
    13. Yoichi Tsuchiya, 2021. "Thirty‐year assessment of Asian Development Bank's forecasts," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 35(2), pages 18-40, November.
    14. Yoichi Tsuchiya, 2024. "Conservatism and information rigidity of the European Bank for Reconstruction and Development's growth forecast: Quarter‐century assessment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1399-1421, August.
    15. Milačić, Ljubiša & Jović, Srđan & Vujović, Tanja & Miljković, Jovica, 2017. "Application of artificial neural network with extreme learning machine for economic growth estimation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 285-288.
    16. Igor Mladenović & Miloš Milovančević & Svetlana Sokolov-Mladenović, 2017. "RETRACTED ARTICLE: Analyzing of innovations influence on economic growth by fuzzy system," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1297-1304, May.
    17. Maksimović, Goran & Jović, Srđan & Jovanović, Radomir, 2017. "Economic growth rate management by soft computing approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 520-524.
    18. Simionescu, Mihaela, 2015. "A Comparative Analysis Of Macroeconomic Forecasts Accuracy In Spain And Romania," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 6(1), pages 67-74.

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