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Scott Paul Simkins

Personal Details

First Name:Scott
Middle Name:Paul
Last Name:Simkins
Suffix:
RePEc Short-ID:psi267
110 Merrick Hall Department of Economics College of Business and Economics North Carolina A&T State University 1601 East Market Street Greensboro, NC 27411
336-285-3047

Affiliation

North Carolina A&T State University

http://www.ncat.edu
USA, Greensboro

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Simkins, Scott P. & Maier, Mark H., 2008. "Learning from physics education research: Lessons for economics education," MPRA Paper 9314, University Library of Munich, Germany.
  2. Burkey, Mark L. & Simkins, Scott P., 2004. "Factors affecting the location of payday lending and traditional banking services in North Carolina," MPRA Paper 36043, University Library of Munich, Germany.

Articles

  1. Mark H. Maier & KimMarie McGoldrick & Scott P. Simkins, 2012. "Starting Point: Pedagogic Resources for Teaching and Learning Economics," The Journal of Economic Education, Taylor & Francis Journals, vol. 43(2), pages 215-220, April.
  2. Burkey, Mark L. & Simkins, Scott P., 2004. "Factors Affecting the Location of Payday Lending and Traditional Banking Services in North Carolina," The Review of Regional Studies, Southern Regional Science Association, vol. 34(2), pages 191-205.
  3. Scott Simkins & Stuart Allen, 2001. "Are learning outcomes in economics different at predominantly black and white universities? Lessons fromPrinciples of macroeconomics courses at two schools," The Review of Black Political Economy, Springer;National Economic Association, vol. 28(3), pages 23-39, December.
  4. Scott Simkins & Stuart Allen, 2000. "Pretesting students to improve teaching and learning," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 6(1), pages 100-112, February.
  5. Scott P. Simkins, 1999. "Promoting Active-Student Learning Using the World Wide Web in Economics Courses," The Journal of Economic Education, Taylor & Francis Journals, vol. 30(3), pages 278-287, January.
  6. Simkins, Scott, 1995. "Forecasting with vector autoregressive (VAR) models subject to business cycle restrictions," International Journal of Forecasting, Elsevier, vol. 11(4), pages 569-583, December.
  7. Simkins, Scott P., 1994. "Do real business cycle models really exhibit business cycle behavior?," Journal of Monetary Economics, Elsevier, vol. 33(2), pages 381-404, April.

Chapters

  1. Mark Maier & Scott Simkins, 2011. "Lessons from Physics Education Research: Lessons for Economics Education," Chapters,in: International Handbook on Teaching and Learning Economics, chapter 36 Edward Elgar Publishing.
  2. Scott Simkins, 2011. "Using Just-in-Time Teaching to Promote Student Learning in Economics," Chapters,in: International Handbook on Teaching and Learning Economics, chapter 9 Edward Elgar Publishing.
  3. Scott Simkins & Mark Maier, 2009. "Using Pedagogical Change to Improve Student Learning in the Economics Major," Chapters,in: Educating Economists, chapter 8 Edward Elgar Publishing.

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. Simkins, Scott P. & Maier, Mark H., 2008. "Learning from physics education research: Lessons for economics education," MPRA Paper 9314, University Library of Munich, Germany.

    Cited by:

    1. Scott Simkins, 2011. "Using Just-in-Time Teaching to Promote Student Learning in Economics," Chapters,in: International Handbook on Teaching and Learning Economics, chapter 9 Edward Elgar Publishing.

  2. Burkey, Mark L. & Simkins, Scott P., 2004. "Factors affecting the location of payday lending and traditional banking services in North Carolina," MPRA Paper 36043, University Library of Munich, Germany.

    Cited by:

    1. H. Damar, 2009. "Why Do Payday Lenders Enter Local Markets? Evidence from Oregon," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 34(2), pages 173-191, March.
    2. Tony E. Smith & Marvin M. Smith & John Wackes, 2007. "Alternative financial service providers and the spatial void hypothesis," Community Affairs Discussion Paper 07-01, Federal Reserve Bank of Philadelphia.
    3. Richard W. Evans, 2012. "Determinants of Short-term Consumer Lending Interest Rates," BYU Macroeconomics and Computational Laboratory Working Paper Series 2012-07, Brigham Young University, Department of Economics, BYU Macroeconomics and Computational Laboratory.
    4. Robin A. Prager, 2009. "Determinants of the locations of payday lenders, pawnshops and check-cashing outlets," Finance and Economics Discussion Series 2009-33, Board of Governors of the Federal Reserve System (U.S.).
    5. Snarr, Hal W. & Burkey, Mark L., 2006. "A preliminary investigation of welfare migration induced by time limits," MPRA Paper 36228, University Library of Munich, Germany.
    6. Taylor Canann & Richard Evans, 2015. "Determinants of Short-term Lender Location and Interest Rates," Journal of Financial Services Research, Springer;Western Finance Association, vol. 48(3), pages 235-262, December.
    7. Smith, Tony E. & Smith, Marvin M. & Wackes, John, 2008. "Alternative financial service providers and the spatial void hypothesis," Regional Science and Urban Economics, Elsevier, vol. 38(3), pages 205-227, May.
    8. Wilson Bart J & Findlay David W. & Meehan James W. & Wellford Charissa & Schurter Karl, 2010. "An Experimental Analysis of the Demand for Payday Loans," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-31, October.
    9. Scott Hegerty, 2016. "Commercial bank locations and “banking deserts”: a statistical analysis of Milwaukee and Buffalo," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 253-271, January.
    10. Scott W. Hegerty, 2016. "Commercial bank locations and “banking deserts”: a statistical analysis of Milwaukee and Buffalo," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 253-271, January.
    11. Wheatley, W. Parker, 2010. "Economic and Regional Determinants of the Location of Payday Lenders and Banking Institutions in Mississippi: Reconsidering the Role of Race and Other Factors in Firm Location," The Review of Regional Studies, Southern Regional Science Association, vol. 40(1), pages 53-69.
    12. Terri Friedline & Nancy Kepple, 2017. "Does Community Access to Alternative Financial Services Relate to Individuals’ Use of These Services? Beyond Individual Explanations," Journal of Consumer Policy, Springer, vol. 40(1), pages 51-79, March.
    13. Goodstein, Ryan M. & Rhine, Sherrie L.W., 2017. "The effects of bank and nonbank provider locations on household use of financial transaction services," Journal of Banking & Finance, Elsevier, vol. 78(C), pages 91-107.
    14. Robin Prager, 2014. "Determinants of the Locations of Alternative Financial Service Providers," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 45(1), pages 21-38, August.
    15. Anping Chen & Marlon Boarnet & Mark Partridge & Christopher S. Fowler & Jane K. Cover & Rachel Garshick Kleit, 2014. "The Geography Of Fringe Banking," Journal of Regional Science, Wiley Blackwell, vol. 54(4), pages 688-710, September.

Articles

  1. Burkey, Mark L. & Simkins, Scott P., 2004. "Factors Affecting the Location of Payday Lending and Traditional Banking Services in North Carolina," The Review of Regional Studies, Southern Regional Science Association, vol. 34(2), pages 191-205.
    See citations under working paper version above.
  2. Scott P. Simkins, 1999. "Promoting Active-Student Learning Using the World Wide Web in Economics Courses," The Journal of Economic Education, Taylor & Francis Journals, vol. 30(3), pages 278-287, January.

    Cited by:

    1. Snarr, Hal W. & Gold, Steven C., 2005. "The design and use of macroeconomics simulation using maple software: A pilot study," MPRA Paper 37061, University Library of Munich, Germany.
    2. Joshua M. Duke & Titus O. Awokuse, 2009. "Assessing the Effect of Bilateral Collaborations on Learning Outcomes," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(2), pages 344-358.
    3. Costas Siriopoulos & Gerasimos Pomonis, 2009. "Selecting Strategies to Foster Economists' Critical Thinking Skills: A Quantile Regression Approach," International Review of Economic Education, Economics Network, University of Bristol, vol. 8(1), pages 106-131.
    4. Tsami, Eleni, 2008. "Exploring Students' Views on the Teaching," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 5(1), pages 162-174, March.
    5. Ann L Owen, 2007. "Integrating Computer Applications Into Economics Electives," International Review of Economic Education, Economics Network, University of Bristol, vol. 6(1), pages 77-92.
    6. Joshua C. Hall & Marta Podemska-Mikluch, 2015. "Teaching the Economic Way of Thinking Through Op-eds," Working Papers 15-10, Department of Economics, West Virginia University.
    7. Florin IONITA & Ion COCHINA & Darko SHULESKI, 2015. "Never Stop Playing: Management Games As Valuable Training Tools," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 9(1), pages 266-277, November.
    8. Meghan J. Millea, 2003. "A Review Activity for Economics," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 18(Spring 20), pages 84-88.

  3. Simkins, Scott, 1995. "Forecasting with vector autoregressive (VAR) models subject to business cycle restrictions," International Journal of Forecasting, Elsevier, vol. 11(4), pages 569-583, December.

    Cited by:

    1. Pascual, Lorenzo & Ruiz, Esther & Fresoli, Diego, 2011. "Bootstrap forecast of multivariate VAR models without using the backward representation," DES - Working Papers. Statistics and Econometrics. WS ws113426, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Zafar, Raja Fawad & Qayyum, Abdul & Ghouri, Saghir Pervaiz, 2015. "Forecasting Inflation using Functional Time Series Analysis," MPRA Paper 67208, University Library of Munich, Germany.
    3. Jan G. de Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Tinbergen Institute Discussion Papers 05-068/4, Tinbergen Institute.
    4. Kim, Jae H., 1999. "Asymptotic and bootstrap prediction regions for vector autoregression," International Journal of Forecasting, Elsevier, vol. 15(4), pages 393-403, October.
    5. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.

  4. Simkins, Scott P., 1994. "Do real business cycle models really exhibit business cycle behavior?," Journal of Monetary Economics, Elsevier, vol. 33(2), pages 381-404, April.

    Cited by:

    1. J. J. Reeves & C. A. Blyth & C. M. Triggs & J. P. Small, "undated". "The Hodrick-Prescott Filter, a Generalisation, and a New Procedure for Extracting an Empirical Cycle from a Series," Reports 9602, University of Auckland, Department of Economics.
    2. Don Harding & Adrian Pagan, 2000. "Disecting the Cycle: A Methodological Investigation," Econometric Society World Congress 2000 Contributed Papers 1164, Econometric Society.
    3. Robert G. King & Sergio T. Rebelo, 2000. "Resuscitating Real Business Cycles," NBER Working Papers 7534, National Bureau of Economic Research, Inc.
    4. Fabio Canova & Eva Ortega, 1996. "Testing calibrated general equilibrium models," Economics Working Papers 166, Department of Economics and Business, Universitat Pompeu Fabra.
    5. Don Harding & Adrian Pagan, 1999. "Knowing the Cycle," Melbourne Institute Working Paper Series wp1999n12, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    6. Don Harding & Adrian Pagan, 1999. "Dissecting the Cycle," Melbourne Institute Working Paper Series wp1999n13, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    7. Richard Jenner, 2004. "Real Wages, Business Cycles and New Production Patterns," Small Business Economics, Springer, vol. 23(5), pages 441-452, November.
    8. Reeves Jonathan J. & Blyth Conrad A. & Triggs Christopher M. & Small John P., 2000. "The Hodrick-Prescott Filter, a Generalization, and a New Procedure for Extracting an Empirical Cycle from a Series," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 4(1), pages 1-17, April.
    9. Fomin, M., 2016. "Business cycles and acquisition policy: Analysis of M&A deals of metallurgical companies," Working Papers 6441, Graduate School of Management, St. Petersburg State University.
    10. Simkins, Scott, 1995. "Forecasting with vector autoregressive (VAR) models subject to business cycle restrictions," International Journal of Forecasting, Elsevier, vol. 11(4), pages 569-583, December.

Chapters

    Sorry, no citations of chapters recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 1 paper 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-EDU: Education (1) 2008-07-30
  2. NEP-HPE: History & Philosophy of Economics (1) 2008-07-30
  3. NEP-KNM: Knowledge Management & Knowledge Economy (1) 2008-07-30
  4. NEP-LAB: Labour Economics (1) 2008-07-30

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