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Peter VanderHart

Personal Details

First Name:Peter
Middle Name:
Last Name:VanderHart
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RePEc Short-ID:pva882
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Affiliation

Department of Economics
College of Business
Bowling Green State University

Bowling Green, Ohio (United States)
http://www.bgsu.edu/business/departments-and-programs/economics.html
RePEc:edi:debgsus (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. VanderHart, Peter G., 2009. "What is the best way to impede a central bank?," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 784-797, August.
  2. Peter G. VanderHart & Jennifer K. Ransom, 2003. "Not Enough Capital and Too Much Bureaucracy: An Analysis of the Input Choice Efficiency of Ohio Secondary Schools," Journal of Economic Insight, Missouri Valley Economic Association, vol. 29(1), pages 77-92.
  3. Vanderhart, Peter G., 2000. "The Federal Reserve's Reaction Function under Greenspan: An Ordinal Probit Analysis," Journal of Macroeconomics, Elsevier, vol. 22(4), pages 631-644, October.
  4. VanderHart, Peter G., 1998. "The Housing Decisions of Older Households: A Dynamic Analysis," Journal of Housing Economics, Elsevier, vol. 7(1), pages 21-48, March.
  5. Peter G. VanderHart, 1994. "An Empirical Analysis of the Housing Decisions of Older Homeowners," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 22(2), pages 205-233, June.

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.

Articles

  1. Vanderhart, Peter G., 2000. "The Federal Reserve's Reaction Function under Greenspan: An Ordinal Probit Analysis," Journal of Macroeconomics, Elsevier, vol. 22(4), pages 631-644, October.

    Cited by:

    1. Andrei Sirchenko, 2019. "A regime-switching model for the federal funds rate target," UvA-Econometrics Working Papers 19-01, Universiteit van Amsterdam, Dept. of Econometrics.
    2. Hakan Danis, 2017. "Nonlinearity and asymmetry in the monetary policy reaction function: a partially generalized ordered probit approach," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 7(2), pages 161-178, August.
    3. Katrin Wölfel & Christoph S. Weber, 2017. "Searching for the Fed’s reaction function," Empirical Economics, Springer, vol. 52(1), pages 191-227, February.
    4. Rosa, Carlo & Verga, Giovanni, 2007. "On the consistency and effectiveness of central bank communication: Evidence from the ECB," European Journal of Political Economy, Elsevier, vol. 23(1), pages 146-175, March.
    5. van den Hauwe, Sjoerd & Paap, Richard & van Dijk, Dick, 2013. "Bayesian forecasting of federal funds target rate decisions," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 19-40.
    6. Adrienne A. Kearney, 2003. "The Changing Probability of a Monetary Policy Response to Inflation and Employment Announcements," Eastern Economic Journal, Eastern Economic Association, vol. 29(4), pages 565-574, Fall.
    7. ROSA, Carlo, 2009. "Forecasting the direction of policy rate changes : the importance of ECB words," LIDAM Discussion Papers CORE 2009001, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. Seibert, Armin & Sirchenko, Andrei & Müller, Gernot, 2021. "A model for policy interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 124(C).
    9. Alain Durré & Philippe Ledent, 2012. "The Two-tier foreign exchange market and the conduct of monetary policy: The Belgian case during Bretton-Woods era," Working Papers 2012-ECO-10, IESEG School of Management.

  2. VanderHart, Peter G., 1998. "The Housing Decisions of Older Households: A Dynamic Analysis," Journal of Housing Economics, Elsevier, vol. 7(1), pages 21-48, March.

    Cited by:

    1. Börsch-Supan, Axel & Heiß, Florian & Miki Seko, 2002. "Housing Demand in Germany and Japan," MEA discussion paper series 02008, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    2. Abdul Munasib, 2009. "Housing Tenure Choice Implications of Social Networks: A Structural Model Approach," Economics Working Paper Series 0905, Oklahoma State University, Department of Economics and Legal Studies in Business.
    3. Garner, Thesia I. & Short, Kathleen, 2009. "Accounting for owner-occupied dwelling services: Aggregates and distributions," Journal of Housing Economics, Elsevier, vol. 18(3), pages 233-248, September.
    4. Jeffry Jacob & Abdul Munasib, 2009. "Housing Tenure Choice Implications of Social Networks," Economics Working Paper Series 0901, Oklahoma State University, Department of Economics and Legal Studies in Business, revised 2009.
    5. Ross Guest, 2004. "Housing Affordability Options for First Home Owner-Occupiers in Australia: A Simulation Analysis," Econometric Society 2004 Australasian Meetings 66, Econometric Society.
    6. Sefa Awaworyi Churchill & Siew Ling Yew & Thi Minh Thu Nguyen, 2022. "Health status and housing tenure decisions of older Australians," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(4), pages 966-989, December.
    7. Ross S. Guest, 2005. "A Life Cycle Analysis of Housing Affordability Options for First Home Owner‐Occupiers in Australia," The Economic Record, The Economic Society of Australia, vol. 81(254), pages 237-248, September.
    8. Kan, Kamhon, 2000. "Dynamic Modeling of Housing Tenure Choice," Journal of Urban Economics, Elsevier, vol. 48(1), pages 46-69, July.
    9. Ching-Ter Chang & Cheng-Yuan Ku & Hui-Ping Ho & Chechen Liao, 2011. "A MCGP decision aid for homebuyers to make the best choice," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(4), pages 969-983, June.

  3. Peter G. VanderHart, 1994. "An Empirical Analysis of the Housing Decisions of Older Homeowners," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 22(2), pages 205-233, June.

    Cited by:

    1. VanderHart, Peter G., 1998. "The Housing Decisions of Older Households: A Dynamic Analysis," Journal of Housing Economics, Elsevier, vol. 7(1), pages 21-48, March.
    2. Declan French & Donal McKillop & Tripti Sharma, 2017. "Analysis of Housing Equity Withdrawal by its Forms," CHaRMS Working Papers 17-04, Centre for HeAlth Research at the Management School (CHaRMS).
    3. Jones, Lawrence D., 1997. "The Tenure Transition Decision For Elderly Homeowners," Journal of Urban Economics, Elsevier, vol. 41(2), pages 243-263, March.
    4. Kwan Ok Lee & Gary Painter, 2014. "Housing Tenure Transitions of Older Households: What is the Role of Child Proximity?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 42(1), pages 109-152, March.
    5. Sefa Awaworyi Churchill & Siew Ling Yew & Thi Minh Thu Nguyen, 2022. "Health status and housing tenure decisions of older Australians," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(4), pages 966-989, December.
    6. Painter, Gary & Lee, KwanOk, 2009. "Housing tenure transitions of older households: Life cycle, demographic, and familial factors," Regional Science and Urban Economics, Elsevier, vol. 39(6), pages 749-760, November.
    7. Xun Bian & Zhenguo Lin, 2022. "Housing debt and elderly housing tenure choices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(5), pages 1360-1397, September.

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