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Dandan Liu

Personal Details

First Name:Dandan
Middle Name:
Last Name:Liu
Suffix:
RePEc Short-ID:pli343
[This author has chosen not to make the email address public]
Terminal Degree:2005 Department of Economics; Texas A&M University (from RePEc Genealogy)

Affiliation

Department of Economics
College of Business Administration
Kent State University

Kent, Ohio (United States)
http://www.kent.edu/business/economics

:
(330) 672-2366
P.O. Box 5190, Kent, OH 44242-0001
RePEc:edi:dekenus (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Liu, Dandan & Smith, Julie K., 2014. "Inflation forecasts and core inflation measures: Where is the information on future inflation?," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 133-137.
  2. Dandan Liu & Dennis W. Jansen, 2013. "The effects of monetary policy using structural factor analysis," Applied Economics, Taylor & Francis Journals, vol. 45(18), pages 2511-2526, June.
  3. Ellis, Michael A. & Liu, Dandan, 2013. "Do FOMC forecasts add value to staff forecasts?," European Journal of Political Economy, Elsevier, vol. 32(C), pages 332-340.
  4. Dandan Liu & Rui Li & Jijun Tan, 2012. "A dual measure of correlation between the Solow residual and output growth," Journal of Productivity Analysis, Springer, vol. 37(1), pages 17-25, February.
  5. Dandan Liu & Dennis Jansen, 2011. "Does a factor Phillips curve help? An evaluation of the predictive power for U.S. inflation," Empirical Economics, Springer, vol. 40(3), pages 807-826, May.
  6. Dandan Liu*, 2011. "Learning and Estimation of the New Keynesian Phillips Curve Models," Southern Economic Journal, Southern Economic Association, vol. 78(2), pages 382-396, October.
  7. Dandan Liu & Rui Li & Zijun Wang, 2011. "Testing for structural breaks in panel varying coefficient models: with an application to OECD health expenditure," Empirical Economics, Springer, vol. 40(1), pages 95-118, February.
  8. Lance Bachmeier & Qi Li & Dandan Liu, 2008. "Should Oil Prices Receive So Much Attention? An Evaluation Of The Predictive Power Of Oil Prices For The U.S. Economy," Economic Inquiry, Western Economic Association International, vol. 46(4), pages 528-539, October.
  9. Liu, Dandan & Jansen, Dennis W., 2007. "Macroeconomic forecasting using structural factor analysis," International Journal of Forecasting, Elsevier, vol. 23(4), pages 655-677.
  10. Dandan Liu & Dennis Jansen & Qi Li, 2005. "Regime switching in the dynamic relationship between stock returns and inflation," Applied Financial Economics Letters, Taylor and Francis Journals, vol. 1(5), pages 273-277, September.

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. Liu, Dandan & Smith, Julie K., 2014. "Inflation forecasts and core inflation measures: Where is the information on future inflation?," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 133-137.

    Cited by:

    1. 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.
    2. Mihaela SIMIONESCU, 2014. "Improving The Inflation Rate Forecasts Of Romanian Experts Using A Fixed-Effects Models Approach," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 13, pages 87-102, June.
    3. Gamber, Edward N. & Liebner, Jeffrey P. & Smith, Julie K., 2015. "The distribution of inflation forecast errors," Journal of Policy Modeling, Elsevier, vol. 37(1), pages 47-64.
    4. Gamber, Edward N. & Smith, Julie K. & Eftimoiu, Raluca, 2015. "The dynamic relationship between core and headline inflation," Journal of Economics and Business, Elsevier, vol. 81(C), pages 38-53.
    5. Mihaela Simionescu, 2015. "The Improvement of Unemployment Rate Predictions Accuracy," Prague Economic Papers, University of Economics, Prague, vol. 2015(3), pages 274-286.

  2. Ellis, Michael A. & Liu, Dandan, 2013. "Do FOMC forecasts add value to staff forecasts?," European Journal of Political Economy, Elsevier, vol. 32(C), pages 332-340.

    Cited by:

    1. Etienne Farvaque & Hamza Bennani & Piotr Stanek, 2018. "Influence of Regional Cycles and Personal Background on FOMC Members' Preferences and Disagreement," Post-Print hal-01589198, HAL.

  3. Dandan Liu & Rui Li & Jijun Tan, 2012. "A dual measure of correlation between the Solow residual and output growth," Journal of Productivity Analysis, Springer, vol. 37(1), pages 17-25, February.

    Cited by:

    1. Bibhudutta Panda, 2017. "Schooling and productivity growth: evidence from a dual growth accounting application to U.S. states," Journal of Productivity Analysis, Springer, vol. 48(2), pages 193-221, December.

  4. Dandan Liu & Dennis Jansen, 2011. "Does a factor Phillips curve help? An evaluation of the predictive power for U.S. inflation," Empirical Economics, Springer, vol. 40(3), pages 807-826, May.

    Cited by:

    1. Giacomo Sbrana & Andrea Silvestrini & Fabrizio Venditti, 2015. "Short term inflation forecasting: the M.E.T.A. approach," Temi di discussione (Economic working papers) 1016, Bank of Italy, Economic Research and International Relations Area.

  5. Dandan Liu*, 2011. "Learning and Estimation of the New Keynesian Phillips Curve Models," Southern Economic Journal, Southern Economic Association, vol. 78(2), pages 382-396, October.

    Cited by:

    1. Valadkhani, Abbas, 2014. "Switching impacts of the output gap on inflation: Evidence from Canada, the UK and the US," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 270-285.

  6. Dandan Liu & Rui Li & Zijun Wang, 2011. "Testing for structural breaks in panel varying coefficient models: with an application to OECD health expenditure," Empirical Economics, Springer, vol. 40(1), pages 95-118, February.

    Cited by:

    1. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang, 2015. "Healthcare expenditure with causal recipes," Journal of Business Research, Elsevier, vol. 68(7), pages 1570-1573.
    2. Lago-Peñas, Santiago & Cantarero-Prieto, David & Blázquez-Fernández, Carla, 2013. "On the relationship between GDP and health care expenditure: A new look," Economic Modelling, Elsevier, vol. 32(C), pages 124-129.
    3. Yan Feng & Toby Watt & Anita Charlesworth & Grace Marsden & Adam Roberts & Jon Sussex, 2017. "What Determines the Health Care Expenditure of High Income Countries? A Dynamic Estimation," Applied Economics and Finance, Redfame publishing, vol. 4(6), pages 1-16, November.
    4. Eugene Kouassi & Gnoudentiho G Silue & Oluyele Akinkugbe & Jean Marcelin B Brou, 2017. "Health expenditures and Income with Nonstationary Panel Data: Evidence from ECOWAS Member Countries," Economics Bulletin, AccessEcon, vol. 37(3), pages 2198-2218.
    5. Özlem Yorulmaz, 2016. "Can healthcare ever be less than a necessity in MENA countries? A semiparametric estimation of the relationship between healthcare expenditure and GDP," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(3), pages 1233-1244, May.
    6. Varun Agiwal & Jitendra Kumar & Dahud Kehinde Shangodoyin, 2018. "A Bayesian Inference Of Multiple Structural Breaks In Mean And Error Variance In Panel Ar (1) Model," Statistics in Transition New Series, Polish Statistical Association, vol. 19(1), pages 7-23, March.
    7. Moheddine Younsi & Mohamed Chakroun & Amine Nafla, 2016. "Robust analysis of the determinants of healthcare expenditure growth: evidence from panel data for low-, middle- and high-income countries," International Journal of Health Planning and Management, Wiley Blackwell, vol. 31(4), pages 580-601, October.

  7. Lance Bachmeier & Qi Li & Dandan Liu, 2008. "Should Oil Prices Receive So Much Attention? An Evaluation Of The Predictive Power Of Oil Prices For The U.S. Economy," Economic Inquiry, Western Economic Association International, vol. 46(4), pages 528-539, October.

    Cited by:

    1. Fan, Qinbin & Jahan-Parvar, Mohammad R., 2012. "U.S. industry-level returns and oil prices," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 112-128.
    2. Yang, Lu & Cai, Xiao Jing & Hamori, Shigeyuki, 2018. "What determines the long-term correlation between oil prices and exchange rates?," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 140-152.
    3. Marc Joëts & Valérie Mignon & Tovonony Razafindrabe, 2015. "Does the volatility of commodity prices reflect macroeconomic uncertainty?," Working Papers 2015-02, CEPII research center.
    4. Francesco Ravazzolo & Philip Rothman, 2011. "Oil and US GDP: A Real-Time out-of Sample Examination," Working Papers No 2/2011, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    5. Ziesemer, Thomas, 2009. "Growth with imported resources: On the sustainability of U.S. growth and foreign debt," MERIT Working Papers 028, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    6. Kilian, Lutz & Vigfusson, Robert J., 2012. "Do Oil Prices Help Forecast U.S. Real GDP? The Role of Nonlinearities and Asymmetries," CEPR Discussion Papers 8980, C.E.P.R. Discussion Papers.
    7. Ron Alquist & Lutz Kilian & Robert J. Vigfusson, 2011. "Forecasting the Price of Oil," Staff Working Papers 11-15, Bank of Canada.
    8. Jacint Balaguer & Manuel Cantavella-Jordá, 2014. "The Effect of Economic Growth and Oil Price Variations on CO2 Emissions: Evidence from Spain (1874-2011)," Working Papers 2014/22, Economics Department, Universitat Jaume I, Castellón (Spain).
    9. Kilian, Lutz & Vigfusson, Robert J., 2011. "Nonlinearities In The Oil Price–Output Relationship," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 337-363, November.
    10. Atems, Bebonchu & Kapper, Devin & Lam, Eddery, 2015. "Do exchange rates respond asymmetrically to shocks in the crude oil market?," Energy Economics, Elsevier, vol. 49(C), pages 227-238.
    11. Francesco Ravazzolo & Philip Rothman, 2015. "Oil-Price Density Forecasts of U.S. GDP," Working Papers No 10/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.

  8. Liu, Dandan & Jansen, Dennis W., 2007. "Macroeconomic forecasting using structural factor analysis," International Journal of Forecasting, Elsevier, vol. 23(4), pages 655-677.

    Cited by:

    1. Juraj Hucek & Alexander Karsay & Marian Vavra, 2015. "Short-term Forecasting of Real GDP Using Monthly Data," Working and Discussion Papers OP 1/2015, Research Department, National Bank of Slovakia.
    2. Dandan Liu & Dennis Jansen, 2011. "Does a factor Phillips curve help? An evaluation of the predictive power for U.S. inflation," Empirical Economics, Springer, vol. 40(3), pages 807-826, May.
    3. Mestekemper, Thomas & Windmann, Michael & Kauermann, Göran, 2010. "Functional hourly forecasting of water temperature," International Journal of Forecasting, Elsevier, vol. 26(4), pages 684-699, October.

  9. Dandan Liu & Dennis Jansen & Qi Li, 2005. "Regime switching in the dynamic relationship between stock returns and inflation," Applied Financial Economics Letters, Taylor and Francis Journals, vol. 1(5), pages 273-277, September.

    Cited by:

    1. Phiri, Andrew, 2016. "Long run equilibrium adjustment between inflation and stock market returns in South Africa: A nonlinear perspective," MPRA Paper 70260, University Library of Munich, Germany.
    2. Faisal Khan & Saif-Ur-Rehman Khan & Hashim Khan, 2016. "Pricing of Risk, Various Volatility Dynamics and Macroeconomic Exposure of Firm Returns: New Evidence on Age Effect," International Journal of Economics and Financial Issues, Econjournals, vol. 6(2), pages 551-561.
    3. Ichkitidze, Yuri, 2018. "Temporary price trends in the stock market with rational agents," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 103-117.
    4. Claudiu Tiberiu Albulescu & Christian Aubin & Daniel Goyeau, 2017. "Stock prices, inflation and inflation uncertainty in the U.S.: testing the long-run relationship considering Dow Jones sector indexes," Applied Economics, Taylor & Francis Journals, vol. 49(18), pages 1794-1807, April.
    5. Mensah, Jones Odei & Premaratne, Gamini, 2014. "Dependence patterns among Banking Sectors in Asia: A Copula Approach," MPRA Paper 60119, University Library of Munich, Germany.
    6. Claudiu Albulescu & Christian Aubin & Daniel Goyeau, 2016. "Stock prices, inflation and inflation uncertainty in the U.S.: Testing the long-run relationship considering Dow Jones sector indexes," Papers 1603.01231, arXiv.org.
    7. Hayashida, Minoru & Ono, Hiroyuki, 2016. "Tax reforms and stock return volatility: The case of Japan," Journal of Asian Economics, Elsevier, vol. 45(C), pages 1-14.
    8. Karagianni Stella & Kyrtsou Catherine, 2011. "Analysing the Dynamics between U.S. Inflation and Dow Jones Index Using Non-Linear Methods," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(2), pages 1-25, March.
    9. Claudeci Da Silva & Hugo Agudelo Murillo & Joaquim Miguel Couto, 2014. "Early Warning Systems: Análise De Ummodelo Probit De Contágio De Crise Dos Estados Unidos Para O Brasil(2000-2010)," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 110, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

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