IDEAS home Printed from https://ideas.repec.org/f/pli343.html
   My authors  Follow this author

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
RePEc:edi:dekenus (more details at EDIRC)

Research output

as
Jump to: Articles Chapters

Articles

  1. Liu, Dandan & Wang, Qiaoyu & Yan, Karen Xueqing, 2022. "Oil supply news shock and Chinese economy," China Economic Review, Elsevier, vol. 73(C).
  2. Ellis, Michael A. & Liu, Dandan, 2021. "FOMC policy preferences and economic policy uncertainty," Economics Letters, Elsevier, vol. 205(C).
  3. Dandan Liu & Michael A Ellis, 2021. "FOMC forecasts and economic policy uncertainty," Economics Bulletin, AccessEcon, vol. 41(2), pages 213-221.
  4. Ellis, Michael A. & Liu, Dandan, 2016. "FOMC forecasts and monetary policy deliberations," Economics Letters, Elsevier, vol. 147(C), pages 131-134.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. Dandan Liu, 2011. "Learning and Estimation of the New Keynesian Phillips Curve Models," Southern Economic Journal, John Wiley & Sons, vol. 78(2), pages 382-396, October.
  11. 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.
  12. 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.
  13. Liu, Dandan & Jansen, Dennis W., 2007. "Macroeconomic forecasting using structural factor analysis," International Journal of Forecasting, Elsevier, vol. 23(4), pages 655-677.
    RePEc:taf:apfelt:v:1:y:2005:i:5:p:273-277 is not listed on IDEAS

Chapters

  1. Jingping Gu & Juan Lin & Dandan Liu, 2011. "Estimating the Average Treatment Effect Based on Direct Estimation of the Conditional Treatment Effect," Advances in Econometrics, in: Missing Data Methods: Cross-sectional Methods and Applications, pages 289-311, Emerald Group Publishing Limited.

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 & Wang, Qiaoyu & Yan, Karen Xueqing, 2022. "Oil supply news shock and Chinese economy," China Economic Review, Elsevier, vol. 73(C).

    Cited by:

    1. Chen, Lin & Wen, Fenghua & Zhang, Yun & Miao, Xiao, 2023. "Oil supply expectations and corporate social responsibility," International Review of Financial Analysis, Elsevier, vol. 87(C).
    2. Wei, Yanfeng & Qiu, Feng & An, Henry & Zhang, Xindon & Li, Changhong & Guo, Xiaoying, 2024. "Exogenous oil supply shocks and global agricultural commodity prices: The role of biofuels," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 394-414.
    3. Mohsin, Muhammad & Jamaani, Fouad, 2023. "A novel deep-learning technique for forecasting oil price volatility using historical prices of five precious metals in context of green financing – A comparison of deep learning, machine learning, an," Resources Policy, Elsevier, vol. 86(PA).

  2. Ellis, Michael A. & Liu, Dandan, 2021. "FOMC policy preferences and economic policy uncertainty," Economics Letters, Elsevier, vol. 205(C).

    Cited by:

    1. Gai, Prasanna & Haworth, Cameron, 2023. "Macroprudential policymakers with cautious expectations," Economics Letters, Elsevier, vol. 229(C).

  3. Ellis, Michael A. & Liu, Dandan, 2016. "FOMC forecasts and monetary policy deliberations," Economics Letters, Elsevier, vol. 147(C), pages 131-134.

    Cited by:

    1. Jakub Rybacki, 2019. "Are Central Banks' Research Teams Fragile Because of Groupthink?," KAE Working Papers 2019-045, Warsaw School of Economics, Collegium of Economic Analysis.
    2. Guido Schultefrankenfeld, 2020. "Appropriate monetary policy and forecast disagreement at the FOMC," Empirical Economics, Springer, vol. 58(1), pages 223-255, January.
    3. Alexandre Corhay & Thilo Kind & Howard Kung & Gonzalo Morales, 2021. "Discount Rates, Debt Maturity, and the Fiscal Theory," Staff Working Papers 21-58, Bank of Canada.
    4. Jakub Rybacki, 2020. "Are Central Banks’ Research Teams Fragile Because of Groupthink in the Area of Monetary Policy? – Evidence on Inflation Targeting," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 4, pages 81-103.
    5. Ellis, Michael A. & Liu, Dandan, 2021. "FOMC policy preferences and economic policy uncertainty," Economics Letters, Elsevier, vol. 205(C).

  4. 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. 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.
    2. Priyanka Sahu, 2021. "A Study on the Dynamic Behaviour of Headline Versus Core Inflation: Evidence from India," Global Business Review, International Management Institute, vol. 22(6), pages 1574-1593, December.
    3. Panpan Zhu & Qingjie Zhou & Yinpeng Zhang, 2024. "Investor attention and consumer price index inflation rate: Evidence from the United States," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    4. 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.
    5. 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.
    6. 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.
    7. Mihaela Simionescu, 2015. "The Improvement of Unemployment Rate Predictions Accuracy," Prague Economic Papers, Prague University of Economics and Business, vol. 2015(3), pages 274-286.

  5. 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.

    Cited by:

    1. De Simone, Francisco Nadal, 2024. "The transmission of U.S. monetary policy to small open economies," Journal of International Money and Finance, Elsevier, vol. 142(C).

  6. 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. Carola Conces Binder & Rodrigo Sekkel, 2023. "Central Bank Forecasting: A Survey," Staff Working Papers 23-18, Bank of Canada.
    2. Thomas L. Hogan, 2022. "The calculus of dissent: Bias and diversity in FOMC projections," Public Choice, Springer, vol. 191(1), pages 105-135, April.
    3. Hamza Bennani & Etienne Farvaque & Piotr Stanek, 2018. "Influence of regional cycles and personal background on FOMC members’ preferences and disagreement," Post-Print hal-04206047, HAL.

  7. 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.

  8. 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. Sbrana, Giacomo & Silvestrini, Andrea & Venditti, Fabrizio, 2017. "Short-term inflation forecasting: The M.E.T.A. approach," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1065-1081.
    2. McKnight, Stephen & Mihailov, Alexander & Rumler, Fabio, 2020. "Inflation forecasting using the New Keynesian Phillips Curve with a time-varying trend," Economic Modelling, Elsevier, vol. 87(C), pages 383-393.

  9. Dandan Liu, 2011. "Learning and Estimation of the New Keynesian Phillips Curve Models," Southern Economic Journal, John Wiley & Sons, vol. 78(2), pages 382-396, October.

    Cited by:

    1. Burhan Biçer & Almila Burgac Cil, 2023. "Symmetric and Asymmetric Dynamics of Output Gap and Inflation Relation for Turkish Economy," Prague Economic Papers, Prague University of Economics and Business, vol. 2023(5), pages 520-549.

  10. 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. Liping Ye & Xinping Zhang, 2018. "Nonlinear Granger Causality between Health Care Expenditure and Economic Growth in the OECD and Major Developing Countries," IJERPH, MDPI, vol. 15(9), pages 1-16, September.
    2. Fengping Tian & Jiti Gao & Ke Yang, 2018. "A quantile regression approach to panel data analysis of health‐care expenditure in Organisation for Economic Co‐operation and Development countries," Health Economics, John Wiley & Sons, Ltd., vol. 27(12), pages 1921-1944, December.
    3. Xiaohui You & Albert A. Okunade, 2017. "Income and Technology as Drivers of Australian Healthcare Expenditures," Health Economics, John Wiley & Sons, Ltd., vol. 26(7), pages 853-862, July.
    4. 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.
    5. Agiwal Varun & Kumar Jitendra & Shangodoyin Dahud Kehinde, 2018. "A Bayesian Inference Of Multiple Structural Breaks In Mean And Error Variance In Panelar (1) Model," Statistics in Transition New Series, Statistics Poland, vol. 19(1), pages 7-23, March.
    6. 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.
    7. Samia Nasreen & Aviral Kumar Tiwari & Mehr‐un Nisa & Faryal Ishtiaq, 2024. "Evaluating the Role of GDP Per Capita, Air Pollution and Non‐Economic Factors in Determining Health Expenditure: Evidence from Asian Region Using Instrumental Variables Techniques," Economic Papers, The Economic Society of Australia, vol. 43(1), pages 63-90, March.
    8. 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.
    9. Carla Blazquez-Fernandez & David Cantarero & Patricio Perez, 2014. "Disentangling the heterogeneous income elasticity and dynamics of health expenditure," Applied Economics, Taylor & Francis Journals, vol. 46(16), pages 1839-1854, June.
    10. Y. Natalia Alfonso & Guiru Ding & David Bishai, 2016. "Income Elasticity of Vaccines Spending versus General Healthcare Spending," Health Economics, John Wiley & Sons, Ltd., vol. 25(7), pages 860-872, July.
    11. Ousmane Traoré, 2020. "Economic Growth and Human Capital Accumulation across Countries: Evidence from WAEMU Region," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 26(2), pages 147-159, May.
    12. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang, 2015. "Healthcare expenditure with causal recipes," Journal of Business Research, Elsevier, vol. 68(7), pages 1570-1573.
    13. 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.
    14. Alejandro F. Rodríguez & M. Nieves Valdés, 2019. "Health care expenditures and GDP in Latin American and OECD countries: a comparison using a panel cointegration approach," International Journal of Health Economics and Management, Springer, vol. 19(2), pages 115-153, June.
    15. Muhammad Arshad Khan & Muhammad Iftikhar Ul Husnain, 2019. "Is health care a luxury or necessity good? Evidence from Asian countries," International Journal of Health Economics and Management, Springer, vol. 19(2), pages 213-233, June.
    16. Wan-Jiun Chen, 2022. "Toward Sustainability: Dynamics of Total Carbon Dioxide Emissions, Aggregate Income, Non-Renewable Energy, and Renewable Power," Sustainability, MDPI, vol. 14(5), pages 1-27, February.

  11. 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. 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.
    2. Narjess Bouslama, 2023. "Interdependence between the BRICS Stock Markets and the Oil Price since the Onset of Financial and Economic Crises," JRFM, MDPI, vol. 16(7), pages 1-22, June.
    3. Tovonony Razafindrabe & Valérie Mignon & Marc Joëts, 2016. "Does the volatility of commodity prices reflects macroeconomic uncertainty?," Post-Print hal-01667080, HAL.
    4. Francesco Ravazzolo & Philip Rothman, 2013. "Oil and U.S. GDP: A Real-Time Out-of-Sample Examination," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(2-3), pages 449-463, March.
    5. Ziesemer, Thomas, 2009. "Growth with imported resources: On the sustainability of U.S. growth and foreign debt," MERIT Working Papers 2009-028, 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. Nima Nonejad, 2022. "New Findings Regarding the Out-of-Sample Predictive Impact of the Price of Crude Oil on the United States Industrial Production," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(1), pages 1-35, March.
    8. Ron Alquist & Lutz Kilian & Robert Vigfusson, 2011. "Forecasting the Price of Oil," Staff Working Papers 11-15, Bank of Canada.
    9. Funk, Christoph, 2018. "Forecasting the real price of oil - Time-variation and forecast combination," Energy Economics, Elsevier, vol. 76(C), pages 288-302.
    10. Nima Nonejad, 2021. "Should crude oil price volatility receive more attention than the price of crude oil? An empirical investigation via a large‐scale out‐of‐sample forecast evaluation of US macroeconomic data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 769-791, August.
    11. Nonejad, Nima, 2021. "The price of crude oil and (conditional) out-of-sample predictability of world industrial production," Journal of Commodity Markets, Elsevier, vol. 23(C).
    12. 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.
    13. Mensi, Walid & Rehman, Mobeen Ur & Maitra, Debasish & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh, 2021. "Oil, natural gas and BRICS stock markets: Evidence of systemic risks and co-movements in the time-frequency domain," Resources Policy, Elsevier, vol. 72(C).
    14. Pan, Zhiyuan & Wang, Qing & Wang, Yudong & Yang, Li, 2018. "Forecasting U.S. real GDP using oil prices: A time-varying parameter MIDAS model," Energy Economics, Elsevier, vol. 72(C), pages 177-187.
    15. Akdoğan, Kurmaş, 2020. "Fundamentals versus speculation in oil market: The role of asymmetries in price adjustment?," Resources Policy, Elsevier, vol. 67(C).
    16. 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.
    17. Nonejad, Nima, 2021. "Predicting the return on the spot price of crude oil out-of-sample by conditioning on news-based uncertainty measures: Some new empirical results," Energy Economics, Elsevier, vol. 104(C).
    18. 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.
    19. Lu Yang & Lei Yang & Kung-Cheng Ho & Shigeyuki Hamori, 2019. "Determinants of the Long-Term Correlation between Crude Oil and Stock Markets," Energies, MDPI, vol. 12(21), pages 1-15, October.
    20. Pal, Debdatta & Mitra, Subrata Kumar, 2019. "Asymmetric oil price transmission to the purchasing power of the U.S. dollar: A multiple threshold NARDL modelling approach," Resources Policy, Elsevier, vol. 64(C).
    21. Nonejad, Nima, 2020. "Crude oil price volatility and short-term predictability of the real U.S. GDP growth rate," Economics Letters, Elsevier, vol. 186(C).
    22. Nonejad, Nima, 2023. "Conditional out-of-sample predictability of aggregate equity returns and aggregate equity return volatility using economic variables," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 91-122.
    23. Nonejad, Nima, 2020. "Crude oil price volatility and equity return predictability: A comparative out-of-sample study," International Review of Financial Analysis, Elsevier, vol. 71(C).
    24. 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).
    25. 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.
    26. Nonejad, Nima, 2020. "Crude oil price changes and the United Kingdom real gross domestic product growth rate: An out-of-sample investigation," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    27. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    28. Nonejad, Nima, 2022. "Understanding the conditional out-of-sample predictive impact of the price of crude oil on aggregate equity return volatility," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).

  12. 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. 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.
    2. 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.
    3. 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.

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

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, Dandan Liu 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.