IDEAS home Printed from https://ideas.repec.org/e/psh125.html
   My authors  Follow this author

Philip John Shaw

Personal Details

First Name:Philip
Middle Name:John
Last Name:Shaw
Suffix:
RePEc Short-ID:psh125
http://drphilipshaw.com
Terminal Degree:2008 Department of Economics; University of Connecticut (from RePEc Genealogy)

Affiliation

Economics Department
Fordham University

New York City, New York (United States)
http://www.fordham.edu/economics/
RePEc:edi:edforus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Marina-Selini Katsaiti & Mrittika Shamsuddin & Philip Shaw, 2015. "Weight Discrimination in the German Labor Market," Proceedings of International Academic Conferences 1003065, International Institute of Social and Economic Sciences.
  2. Cohen, Michael & Shaw, Philip & Chen, Tao, 2008. "Nonparametric Instrumental Variable Estimation in Practice," Research Reports 149936, University of Connecticut, Food Marketing Policy Center.
  3. Stanley McMillen & Philip Shaw, 2007. "The FY2006 Economic Impact of Continuing Operations of the University of Connecticut Health Center (Fourth Report)," CCEA Studies 2007-March-01, University of Connecticut, Connecticut Center for Economic Analysis.
  4. Philip Shaw & Marina-Selini Katsaiti & Marius Jurgilas, 2006. "Corruption and Growth Under Weak Identification," Working papers 2006-17, University of Connecticut, Department of Economics, revised Mar 2007.
  5. Stan McMillen & Philip Shaw & Nicholas Jolly & Bryant Goulding & Victoria Finkle, 2005. "Biodiesel: Fuel for Thought, Fuel for Connecticuts Future," CCEA Studies 2005-01, University of Connecticut, Connecticut Center for Economic Analysis.

Articles

  1. Shaw Philip & Cohen Michael Andrew & Chen Tao, 2016. "Nonparametric Instrumental Variable Estimation in Practice," Journal of Econometric Methods, De Gruyter, vol. 5(1), pages 153-177, January.
  2. Philip Shaw & Marina-Selini Katsaiti & Brandon Pecoraro, 2015. "On The Determinants Of Educational Corruption: The Case Of Ukraine," Contemporary Economic Policy, Western Economic Association International, vol. 33(4), pages 698-713, October.
  3. Lahaye, Jerome & Shaw, Philip, 2014. "Can we reject linearity in an HAR-RV model for the S&P 500? Insights from a nonparametric HAR-RV," Economics Letters, Elsevier, vol. 125(1), pages 43-46.
  4. Shaw, Philip, 2014. "A nonparametric approach to solving a simple one-sector stochastic growth model," Economics Letters, Elsevier, vol. 125(3), pages 447-450.
  5. Shaw, Philip & Vásquez, William F. & LeClair, Mark, 2013. "Intelligence and bribing behavior in a one-shot game," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 44(C), pages 91-96.
  6. Philip Shaw & Marina‐Selini Katsaiti & Marius Jurgilas, 2011. "Corruption And Growth Under Weak Identification," Economic Inquiry, Western Economic Association International, vol. 49(1), pages 264-275, January.

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. Philip Shaw & Marina-Selini Katsaiti & Marius Jurgilas, 2006. "Corruption and Growth Under Weak Identification," Working papers 2006-17, University of Connecticut, Department of Economics, revised Mar 2007.

    Mentioned in:

    1. The cost of corruption
      by Economic Logician in Economic Logic on 2008-12-09 21:02:00

Working papers

  1. Cohen, Michael & Shaw, Philip & Chen, Tao, 2008. "Nonparametric Instrumental Variable Estimation in Practice," Research Reports 149936, University of Connecticut, Food Marketing Policy Center.

    Cited by:

    1. Farkas, Walter & Fringuellotti, Fulvia & Tunaru, Radu, 2020. "A cost-benefit analysis of capital requirements adjusted for model risk," Journal of Corporate Finance, Elsevier, vol. 65(C).
    2. Jonathan Leightner & Tomoo Inoue & Pierre Lafaye de Micheaux, 2021. "Variable Slope Forecasting Methods and COVID-19 Risk," JRFM, MDPI, vol. 14(10), pages 1-22, October.

  2. Philip Shaw & Marina-Selini Katsaiti & Marius Jurgilas, 2006. "Corruption and Growth Under Weak Identification," Working papers 2006-17, University of Connecticut, Department of Economics, revised Mar 2007.

    Cited by:

    1. Eiji Yamamura, 2011. "Corruption and Fertility: Evidence from OECD countries," EERI Research Paper Series EERI_RP_2011_03, Economics and Econometrics Research Institute (EERI), Brussels.
    2. António Afonso & Eduardo de Sá Fortes Leitão Rodrigues, 2021. "Corruption and Economic Growth: Does the Size of the Government Matter?," EconPol Working Paper 60, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    3. El Anshasy, Amany A. & Katsaiti, Marina-Selini, 2013. "Natural resources and fiscal performance: Does good governance matter?," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 285-298.
    4. Zohal Hessami & Silke Uebelmesser, 2016. "A political-economy perspective on social expenditures: corruption and in-kind versus cash transfers," Economics of Governance, Springer, vol. 17(1), pages 71-100, February.
    5. Cohen, Michael & Shaw, Philip & Chen, Tao, 2008. "Nonparametric Instrumental Variable Estimation in Practice," Research Reports 149936, University of Connecticut, Food Marketing Policy Center.
    6. Raffaella Coppier & Mauro Costantini & Gustavo Piga, 2013. "The Role Of Monitoring Of Corruption In A Simple Endogenous Growth Model," Economic Inquiry, Western Economic Association International, vol. 51(4), pages 1972-1985, October.
    7. Marina Selini Katsaiti, 2012. "Obesity and happiness," Applied Economics, Taylor & Francis Journals, vol. 44(31), pages 4101-4114, November.
    8. Biru Paksha Paul, 2010. "Does corruption foster growth in Bangladesh?," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 9(3), pages 246-262, September.
    9. Cieślik, Andrzej & Goczek, Łukasz, 2018. "Control of corruption, international investment, and economic growth – Evidence from panel data," World Development, Elsevier, vol. 103(C), pages 323-335.
    10. Noel Johnson & Courtney LaFountain & Steven Yamarik, 2011. "Corruption is bad for growth (even in the United States)," Public Choice, Springer, vol. 147(3), pages 377-393, June.
    11. Ahmad, Mahyudin & Hall, Stephen G., 2014. "Explaining social capital effects on growth and property rights via trust-alternative variables," MPRA Paper 58358, University Library of Munich, Germany.
    12. Nikita Zakharov, 2017. "Does Corruption Hinder Investment? Evidence from Russian Regions," Discussion Paper Series 33, Department of International Economic Policy, University of Freiburg, revised Feb 2017.
    13. Noel Johnson & William Ruger & Jason Sorens & Steven Yamarik, 2014. "Corruption, regulation, and growth: an empirical study of the United States," Economics of Governance, Springer, vol. 15(1), pages 51-69, February.
    14. Marek Tomaszewski, 2018. "Corruption - A Dark Side of Entrepreneurship. Corruption and Innovations," Prague Economic Papers, Prague University of Economics and Business, vol. 2018(3), pages 251-269.

Articles

  1. Shaw Philip & Cohen Michael Andrew & Chen Tao, 2016. "Nonparametric Instrumental Variable Estimation in Practice," Journal of Econometric Methods, De Gruyter, vol. 5(1), pages 153-177, January.
    See citations under working paper version above.
  2. Philip Shaw & Marina-Selini Katsaiti & Brandon Pecoraro, 2015. "On The Determinants Of Educational Corruption: The Case Of Ukraine," Contemporary Economic Policy, Western Economic Association International, vol. 33(4), pages 698-713, October.

    Cited by:

    1. Obbey Elamin & Len Gill & Martyn Andrews, 2020. "Insights from kernel conditional-probability estimates into female labour force participation decision in the UK," Empirical Economics, Springer, vol. 58(6), pages 2981-3006, June.
    2. Vasylyeva, Anna & Merkle, Ortrun, 2018. "Combatting corruption in higher education in Ukraine," MERIT Working Papers 2018-021, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Robson Fernandes Soares & Edson Ronaldo Guarido Filho, 2021. "Anti-Corruption Enforcement and Organizations: A Narrative Review," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 25(6), pages 190149-1901.
    4. Shaw, Philip & Mauro, Joseph A., 2023. "The macroeconomic implications of corruption in the choice to educate," Economic Systems, Elsevier, vol. 47(2).
    5. Denisova-Schmidt, Elena & Huber, Martin & Leontyeva, Elvira, 2016. "On the development of students’ attitudes towards corruption and cheating in Russian universities," FSES Working Papers 467, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    6. Asif Reza Anik & Siegfried Bauer, 2014. "Household Income and Relationships with Different Power Entities as Determinants of Corruption," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 8(3), September.
    7. Zeena Mardawi & Guillermina Tormo‐Carbó & Elies Seguí‐Mas & Saed Al‐Koni, 2023. "Does corruption rule the auditor's soul? Examining the auditors' attitude toward accepting corruption behaviors," Economics and Politics, Wiley Blackwell, vol. 35(3), pages 1070-1098, November.

  3. Lahaye, Jerome & Shaw, Philip, 2014. "Can we reject linearity in an HAR-RV model for the S&P 500? Insights from a nonparametric HAR-RV," Economics Letters, Elsevier, vol. 125(1), pages 43-46.

    Cited by:

    1. Nagapetyan, Artur, 2019. "Precondition stock and stock indices volatility modeling based on market diversification potential: Evidence from Russian market," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 56, pages 45-61.
    2. Fengler, M.R. & Mammen, E. & Vogt, M., 2015. "Specification and structural break tests for additive models with applications to realized variance data," Journal of Econometrics, Elsevier, vol. 188(1), pages 196-218.
    3. Aganin, Artem, 2017. "Forecast comparison of volatility models on Russian stock market," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 48, pages 63-84.
    4. Campos, I. & Cortazar, G. & Reyes, T., 2017. "Modeling and predicting oil VIX: Internet search volume versus traditional mariables," Energy Economics, Elsevier, vol. 66(C), pages 194-204.
    5. Izzeldin, Marwan & Muradoğlu, Yaz Gülnur & Pappas, Vasileios & Sivaprasad, Sheeja, 2021. "The impact of Covid-19 on G7 stock markets volatility: Evidence from a ST-HAR model," International Review of Financial Analysis, Elsevier, vol. 74(C).
    6. Xu Guo & Tao Wang & Lixing Zhu, 2016. "Model checking for parametric single-index models: a dimension reduction model-adaptive approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(5), pages 1013-1035, November.
    7. Guo, Xu & Li, Gao Rong & Wong, Wing Keung, 2014. "Specification Testing of Production Frontier Function in Stochastic Frontier Model," MPRA Paper 57999, University Library of Munich, Germany.
    8. Wang, Yudong & Ma, Feng & Wei, Yu & Wu, Chongfeng, 2016. "Forecasting realized volatility in a changing world: A dynamic model averaging approach," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 136-149.

  4. Shaw, Philip & Vásquez, William F. & LeClair, Mark, 2013. "Intelligence and bribing behavior in a one-shot game," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 44(C), pages 91-96.

    Cited by:

    1. Vranka, Marek Albert & Bahník, Štěpán, 2017. "Predictors of Bribe-Taking: The Role of Bribe Size and Personality," OSF Preprints mzhkq, Center for Open Science.
    2. Garett Jones & Niklas Potrafke, 2014. "Human Capital and National Institutional Quality: Are TIMSS, PISA, and National Average IQ Robust Predictors?," CESifo Working Paper Series 4790, CESifo.

  5. Philip Shaw & Marina‐Selini Katsaiti & Marius Jurgilas, 2011. "Corruption And Growth Under Weak Identification," Economic Inquiry, Western Economic Association International, vol. 49(1), pages 264-275, January.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

Featured entries

This author is featured on the following reading lists, publication compilations, Wikipedia, or ReplicationWiki entries:
  1. University of Connecticut Economics PhD Alumni
  2. Graduate students of Christian Zimmermann
  3. University of Connecticut Economics BA Alumni
  4. University of Connecticut Economics MA Alumni

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 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-EUR: Microeconomic European Issues (1) 2015-05-16
  2. NEP-HEA: Health Economics (1) 2007-08-14
  3. NEP-LAM: Central and South America (1) 2006-09-16
  4. NEP-POL: Positive Political Economics (1) 2006-09-16
  5. NEP-SOC: Social Norms and Social Capital (1) 2006-09-16

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Philip John Shaw should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.