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Qu Feng

Personal Details

First Name:Qu
Middle Name:
Last Name:Feng
Suffix:
RePEc Short-ID:pfe236
http://ntu.edu.sg/home/qfeng

Affiliation

Division of Economics
Nanyang Technological University

Singapore, Singapore
http://www.hss.ntu.edu.sg/Programmes/Econ/

:
6795 5797
Nanyang Drive, Singapore 637332
RePEc:edi:dentusg (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Qu FENG & Zhifeng WANG & Guiying Laura WU, 2017. "Productivity Dynamics of Chinese Manufacturing Firms," Economic Growth Centre Working Paper Series 1706, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
  2. Badi H. Baltagi & Qu Feng & Chihwa Kao, 2015. "Estimation of Heterogeneous Panels with Structural Breaks," Center for Policy Research Working Papers 179, Center for Policy Research, Maxwell School, Syracuse University.
  3. Qu FENG & Guiying Laura WU, 2015. "Bubble or Riddle? An Asset-Pricing Approach Evaluation on China’s Housing Market," Economic Growth Centre Working Paper Series 1501, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
  4. Jan F. KIVIET & Qu FENG, 2014. "Efficiency Gains by Modifying GMM Estimation in Linear Models under Heteroskedasticity," Economic Growth Centre Working Paper Series 1413, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
  5. Guiying Laura WU & Qu FENG & Pei LI, 2014. "Does Local Governments' Budget Deficit Push Up Housing Prices in China?," Economic Growth Centre Working Paper Series 1409, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
  6. Qu Feng & William Horrace & Guiying Laura Wu, 2013. "Wrong Skewness and Finite Sample Correction in Parametric Stochastic Frontier Models," Center for Policy Research Working Papers 154, Center for Policy Research, Maxwell School, Syracuse University.
  7. Badi H. Baltagi & Qu Feng & Chihwa Kao, 2012. "A Lagrange Multiplier Test for Cross-Sectional Dependence in a Fixed Effects Panel Data Model," Center for Policy Research Working Papers 137, Center for Policy Research, Maxwell School, Syracuse University.
  8. Qu Feng & William C. Horrace, 2010. "Alternative Technical Efficiency Measures: Skew, Bias, and Scale," Center for Policy Research Working Papers 121, Center for Policy Research, Maxwell School, Syracuse University.
  9. Badi H. Baltagi & Qu Feng & Chihwa Kao, 2009. "Testing for Sphericity in a Fixed Effects Panel Data Model (Revised July 2009)," Center for Policy Research Working Papers 112, Center for Policy Research, Maxwell School, Syracuse University.

Articles

  1. Feng, Qu & Wu, Guiying Laura, 2018. "On the reverse causality between output and infrastructure: The case of China," Economic Modelling, Elsevier, vol. 74(C), pages 97-104.
  2. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2016. "Estimation of heterogeneous panels with structural breaks," Journal of Econometrics, Elsevier, vol. 191(1), pages 176-195.
  3. Wu, Guiying Laura & Feng, Qu & Li, Pei, 2015. "Does local governments’ budget deficit push up housing prices in China?," China Economic Review, Elsevier, vol. 35(C), pages 183-196.
  4. Feng, Qu & Wu, Guiying Laura, 2015. "Bubble or riddle? An asset-pricing approach evaluation on China's housing market," Economic Modelling, Elsevier, vol. 46(C), pages 376-383.
  5. Qu Feng & William C. Horrace, 2012. "Alternative technical efficiency measures: Skew, bias and scale," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(2), pages 253-268, March.
  6. Feng, Qu & Horrace, William C., 2012. "Estimating technical efficiency in micro panels," Economics Letters, Elsevier, vol. 117(3), pages 730-733.
  7. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012. "A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model," Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
  8. Terence Tai-Leung Chong & Ning Zhang & Qu Feng, 2011. "Structural Changes and Regional Disparity in China's Inflation," Economics Bulletin, AccessEcon, vol. 31(1), pages 572-583.
  9. Badi H. Baltagi & Qu Feng & Chihwa Kao, 2011. "Testing for sphericity in a fixed effects panel data model," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 25-47, February.
  10. Feng, Qu & Horrace, William C., 2007. "Fixed-effect estimation of technical efficiency with time-invariant dummies," Economics Letters, Elsevier, vol. 95(2), pages 247-252, May.

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. Badi H. Baltagi & Qu Feng & Chihwa Kao, 2015. "Estimation of Heterogeneous Panels with Structural Breaks," Center for Policy Research Working Papers 179, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Lena Boneva (Körber) & Oliver Linton, 2017. "A discrete choice model for large heterogeneous panels with interactive fixed effects with an application to the determinants of corporate bond issuance," CeMMAP working papers CWP02/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Wang, Shaoping & Cui, Guowei & Li, Kunpeng, 2015. "Factor-augmented regression models with structural change," Economics Letters, Elsevier, vol. 130(C), pages 124-127.
    3. Timothy Neal, 2016. "Multidimensional Parameter Heterogeneity in Panel Data Models," Discussion Papers 2016-15, School of Economics, The University of New South Wales.
    4. Ye, Xiaoqing & Xu, Juan & Wu, Xiangjun, 2018. "Estimation of an unbalanced panel data Tobit model with interactive effects," Journal of choice modelling, Elsevier, vol. 28(C), pages 108-123.
    5. Tatsushi Oka & Pierre Perron, 2018. "Testing for common breaks in a multiple equations system," Monash Econometrics and Business Statistics Working Papers 3/18, Monash University, Department of Econometrics and Business Statistics.
    6. Qian, Junhui & Su, Liangjun, 2016. "Shrinkage estimation of common breaks in panel data models via adaptive group fused Lasso," Journal of Econometrics, Elsevier, vol. 191(1), pages 86-109.
    7. Ryo Okui & Wendun Wang, 2018. "Heterogeneous structural breaks in panel data models," Papers 1801.04672, arXiv.org, revised Nov 2018.
    8. Chen, Sanpan & Cui, Guowei & Zhang, Jianhua, 2017. "On testing for structural break of coefficients in factor-augmented regression models," Economics Letters, Elsevier, vol. 161(C), pages 141-145.
    9. Degui Li & Junhui Qian & Liangjun Su, 2016. "Panel Data Models With Interactive Fixed Effects and Multiple Structural Breaks," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(516), pages 1804-1819, October.
    10. Timothy Neal, 2018. "Multidimensional Parameter Heterogeneity in Panel Data Models," Discussion Papers 2016-15A, School of Economics, The University of New South Wales.
    11. Otilia Boldea & Bettina Drepper & Zhuojiong Gan, 2018. "Change Point Estimation in Panel Data with Time-Varying Individual Effects," Papers 1808.03109, arXiv.org.
    12. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Papers 1805.03807, arXiv.org.
    13. Barbora Peštová & Michal Pešta, 2017. "Change Point Estimation in Panel Data without Boundary Issue," Risks, MDPI, Open Access Journal, vol. 5(1), pages 1-22, January.
    14. Huanjun Zhu & Vasilis Sarafidis & Mervyn Silvapulle & Jiti Gao, 2015. "Testing for a Structural Break in Dynamic Panel Data Models with Common Factors," Monash Econometrics and Business Statistics Working Papers 20/15, Monash University, Department of Econometrics and Business Statistics.

  2. Qu FENG & Guiying Laura WU, 2015. "Bubble or Riddle? An Asset-Pricing Approach Evaluation on China’s Housing Market," Economic Growth Centre Working Paper Series 1501, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.

    Cited by:

    1. Day, Creina & Guest, Ross, 2016. "Fertility and female wages: A new link via house prices," Economic Modelling, Elsevier, vol. 53(C), pages 121-132.
    2. Chen, W.D., 2016. "Policy failure or success? Detecting market failure in China's housing market," Economic Modelling, Elsevier, vol. 56(C), pages 109-121.
    3. Wen-Yuan Lin & I-Chun Tsai, 2016. "Asymmetric Fluctuating Behavior of China's Housing Prices," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 24(2), pages 107-126, March.
    4. Xu Zhang & Xiaoxing Liu & Jianqin Hang & Dengbao Yao & Guangping Shi, 2016. "Do Urban Rail Transit Facilities Affect Housing Prices? Evidence from China," Sustainability, MDPI, Open Access Journal, vol. 8(4), pages 1-14, April.
    5. Chen, Shyh-Wei & Xie, Zixiong, 2017. "Asymmetric adjustment and smooth breaks in dividend yields: Evidence from international stock markets," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 339-354.
    6. Baltagi, Badi H. & Li, Jing, 2015. "Cointegration of matched home purchases and rental price indexes — Evidence from Singapore," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 80-88.
    7. I-Chun Tsai & Shu-Hen Chiang, 2018. "Risk Transfer among Housing Markets in Major Cities in China," Sustainability, MDPI, Open Access Journal, vol. 10(7), pages 1-20, July.
    8. Wen-Chi LIU, 2016. "Do Multiple Housing Bubbles Exist in China? Further Evidence from Generalized Sup ADF Tests," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 135-145, December.
    9. Canofari, Paolo & Marini, Giancarlo & Scaramozzino, Pasquale, 2017. "The importance of being remembered: Prices for cemetery plots in the US," Economic Modelling, Elsevier, vol. 64(C), pages 638-645.
    10. Wang, Yiming & Feng, Suwei & Deng, Zhongwei & Cheng, Shuangyu, 2016. "Transit premium and rent segmentation: A spatial quantile hedonic analysis of Shanghai Metro," Transport Policy, Elsevier, vol. 51(C), pages 61-69.
    11. Helmut Wagner, 2015. "Structural Change and Mid-Income Trap – Under which conditions can China succeed in moving towards higher income status?," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 12(2), pages 165-188, December.
    12. Chen, Shyh-Wei & Hsu, Chi-Sheng & Xie, Zixong, 2016. "Are there periodically collapsing bubbles in the stock markets? New international evidence," Economic Modelling, Elsevier, vol. 52(PB), pages 442-451.

  3. Jan F. KIVIET & Qu FENG, 2014. "Efficiency Gains by Modifying GMM Estimation in Linear Models under Heteroskedasticity," Economic Growth Centre Working Paper Series 1413, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.

    Cited by:

    1. Shahriar Kabir & Ruhul Salim, 2016. "Can A Common Currency Induce Intra-Regional Trade? The Southeast Asian Perspective," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 28(3), pages 218-234, November.
    2. Jan Kiviet & Milan Pleus & Rutger Poldermans, 2017. "Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models," Econometrics, MDPI, Open Access Journal, vol. 5(1), pages 1-54, March.
    3. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," UvA-Econometrics Working Papers 14-09, Universiteit van Amsterdam, Dept. of Econometrics.

  4. Guiying Laura WU & Qu FENG & Pei LI, 2014. "Does Local Governments' Budget Deficit Push Up Housing Prices in China?," Economic Growth Centre Working Paper Series 1409, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.

    Cited by:

    1. Jia, Pengfei & Lim, King Yoong, 2018. "Tax Policy and Toxic Housing Bubbles in China," MPRA Paper 86576, University Library of Munich, Germany.
    2. Feng, Qu & Wu, Guiying Laura, 2015. "Bubble or riddle? An asset-pricing approach evaluation on China's housing market," Economic Modelling, Elsevier, vol. 46(C), pages 376-383.
    3. Evan Osborne, 2016. "China’s transitioning class identity," China Finance and Economic Review, Springer, vol. 4(1), pages 1-15, December.
    4. Wu, Jing & Gyourko, Joseph & Deng, Yongheng, 2016. "Evaluating the risk of Chinese housing markets: What we know and what we need to know," China Economic Review, Elsevier, vol. 39(C), pages 91-114.
    5. Man Xu & Qing Shi, 2018. "A Theoretic Approach to China's Housing Market Boom and Down Payment Loans," Annals of Economics and Finance, Society for AEF, vol. 19(1), pages 265-278, May.
    6. Jan F. KIVIET & Qu FENG, 2014. "Efficiency Gains by Modifying GMM Estimation in Linear Models under Heteroskedasticity," Economic Growth Centre Working Paper Series 1413, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    7. Huang, Zhonghua & Du, Xuejun, 2018. "Holding the market under the stimulus plan: Local government financing vehicles' land purchasing behavior in China," China Economic Review, Elsevier, vol. 50(C), pages 85-100.
    8. Liu, Chunping & Ou, Zhirong, 2017. "What determines China's housing price dynamics? New evidence from a DSGE-VAR," Cardiff Economics Working Papers E2017/4, Cardiff University, Cardiff Business School, Economics Section.
    9. Wang, Yuan & Hui, Eddie Chi-man, 2017. "Are local governments maximizing land revenue? Evidence from China," China Economic Review, Elsevier, vol. 43(C), pages 196-215.
    10. Yu Zhang, 2017. "Liquidity Constraints, Transition Dynamics, and the Chinese Housing Return Premium," 2017 Meeting Papers 1217, Society for Economic Dynamics.
    11. Li, Hongbo & Liu, Yali & Peng, Kaili, 2018. "Characterizing the relationship between road infrastructure and local economy using structural equation modeling," Transport Policy, Elsevier, vol. 61(C), pages 17-25.

  5. Qu Feng & William Horrace & Guiying Laura Wu, 2013. "Wrong Skewness and Finite Sample Correction in Parametric Stochastic Frontier Models," Center for Policy Research Working Papers 154, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Graziella Bonanno & Domenico De Giovanni & Filippo Domma, 2015. "The “Wrong Skewness” Problem: A Re-Specification Of Stochastic Frontiers," Working Papers 201502, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    2. William C. Horrace & Ian A. Wright, 2016. "Stationary Points for Parametric Stochastic Frontier Models," Center for Policy Research Working Papers 196, Center for Policy Research, Maxwell School, Syracuse University.
    3. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    4. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2017. "Stochastic Frontier Analysis: Foundations and Advances," Working Papers 2017-10, University of Miami, Department of Economics.
    5. Cheng, Xiaomei & Bjørndal, Endre & Bjørndal, Mette, 2015. "Malmquist Productivity Analysis based on StoNED," Discussion Papers 2015/25, Norwegian School of Economics, Department of Business and Management Science.
    6. Paitoon Wiboonchutikula & Chayanon Phucharoen & Nuchit Pruektanakul, 2016. "Spillover Effects Of Foreign Direct Investment On Domestic Manufacturing Firms In Thailand," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(02), pages 1-32, June.

  6. Badi H. Baltagi & Qu Feng & Chihwa Kao, 2012. "A Lagrange Multiplier Test for Cross-Sectional Dependence in a Fixed Effects Panel Data Model," Center for Policy Research Working Papers 137, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Saidi, Samir & Shahbaz, Muhammad & Akhtar, Pervaiz, 2018. "The long-run relationships between transport energy consumption, transport infrastructure, and economic growth in MENA countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 78-95.
    2. Osman, Mohamed & Gachino, Geoffrey & Hoque, Ariful, 2016. "Electricity consumption and economic growth in the GCC countries: Panel data analysis," Energy Policy, Elsevier, vol. 98(C), pages 318-327.
    3. Nikolaos Giannellis & Minoas Koukouritakis, 2018. "Gold Price and Exchange Rates: A Panel Smooth Transition Regression Model for the G7 Countries," Working Papers 1806, University of Crete, Department of Economics.
    4. Miguel Rodríguez & Yolanda Pena-Boquete, 2014. "Revisiting Environmental Kuznets Curves through the energy Price lenses," Working Papers 1401, Universidade de Vigo, Departamento de Economía Aplicada.
    5. Lateef O. Akanni & Kazeem Isah, 2018. "Exchange Rate Movements on Sectoral Stock Prices of Nigerian Firms: Is there Evidence of Asymmetry?," Working Papers 046, Centre for Econometric and Allied Research, University of Ibadan.
    6. Andreea Halunga & Chris D. Orme & Takashi Yamagata, 2011. "A Heteroskedasticity Robust Breusch-Pagan Test for Contemporaneous Correlation in Dynamic Panel Data Models," The School of Economics Discussion Paper Series 1118, Economics, The University of Manchester.
    7. Herzer Dierk, 2018. "An empirical note on the long-run relationship between education and religiosity in Christian countries," The B.E. Journal of Macroeconomics, De Gruyter, vol. 18(1), pages 1-8, January.
    8. Badi H. Baltagi & Chihwa Kao & Fa Wang, 2017. "Asymptotic power of the sphericity test under weak and strong factors in a fixed effects panel data model," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 853-882, October.
    9. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2016. "Estimation of heterogeneous panels with structural breaks," Journal of Econometrics, Elsevier, vol. 191(1), pages 176-195.
    10. Rashid Khan, Haroon Ur & Siddique, Muhammad & Zaman, Khalid & Yousaf, Sheikh Usman & Shoukry, Alaa Mohamd & Gani, Showkat & Sasmoko, & Khan, Aqeel & Hishan, Sanil S. & Saleem, Hummera, 2018. "The impact of air transportation, railways transportation, and port container traffic on energy demand, customs duty, and economic growth: Evidence from a panel of low-, middle-, and high -income coun," Journal of Air Transport Management, Elsevier, vol. 70(C), pages 18-35.
    11. Arturas Juodis & Simon Reese, 2018. "The Incidental Parameters Problem in Testing for Remaining Cross-section Correlation," Papers 1810.03715, arXiv.org, revised Oct 2018.
    12. Afees A. Salisu, 2018. "United we stand, divided we fall: A PANICCA test evidence for stock exchanges in OECD," Working Papers 049, Centre for Econometric and Allied Research, University of Ibadan.
    13. Samir, Saidi & Shahbaz, Muhammad & Akhtar, Pervaiz, 2018. "The Long-Run Relationship between Transport Energy Consumption and Transport Infrastructure on Economic Growth in MENA Countries," MPRA Paper 85037, University Library of Munich, Germany, revised 06 Mar 2018.
    14. Raihan, Selim & Abdullah, S M & Barkat, Aroni & Siddiqua, Salina, 2017. "Mean Reversion of the Real Exchange Rate and the validity of PPP Hypothesis in the context of Bangladesh: A Holistic Approach," MPRA Paper 77172, University Library of Munich, Germany.
    15. Badi H. Baltagi & Chihwa Kao & Bin Peng, 2016. "Testing Cross-sectional Correlation in Large Panel Data Models with Serial Correlation," Working papers 2016-32, University of Connecticut, Department of Economics.
    16. Halleck Vega, Solmaria & Elhorst, J. Paul, 2016. "A regional unemployment model simultaneously accounting for serial dynamics, spatial dependence and common factors," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 85-95.
    17. Apergis, Nicholas, 2014. "The long-term role of non-traditional banking in profitability and risk profiles: Evidence from a panel of U.S. banking institutions," Journal of International Money and Finance, Elsevier, vol. 45(C), pages 61-73.
    18. P. Tonkovic, Michael & Hussain, Syed Azfar, 2017. "Residential and non-residential electricity dynamics," Energy Economics, Elsevier, vol. 64(C), pages 262-271.
    19. S. M. Abdullah & Salina Siddiqua & Rumana Huque, 2017. "Is health care a necessary or luxury product for Asian countries? An answer using panel approach," Health Economics Review, Springer, vol. 7(1), pages 1-12, December.
    20. Guangming Pan & Jiti Gao & Yanrong Yang & Meihui Guo, 2015. "Cross-sectional Independence Test for a Class of Parametric Panel Data Models," Monash Econometrics and Business Statistics Working Papers 17/15, Monash University, Department of Econometrics and Business Statistics.
    21. Ming-Chieh Wang & Tai-Feng Chen, 2016. "Does the spillover of China's economic growth exist? Evidence from emerging markets," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 25(7), pages 992-1009, October.
    22. Jiti Gao & Guangming Pan & Yanrong Yang, 2016. "CEstimation of Structural Breaks in Large Panels with Cross-Sectional Dependence," Monash Econometrics and Business Statistics Working Papers 12/16, Monash University, Department of Econometrics and Business Statistics.
    23. Mao, Guangyu, 2014. "A note on tests of sphericity and cross-sectional dependence for fixed effects panel model," Economics Letters, Elsevier, vol. 122(2), pages 215-219.
    24. Shahbaz, Muhammad & Syed, Jawad & Kumar, Mantu & Hammoudeh, Shawkat, 2017. "Does globalization worsen environmental quality in developed economies?," MPRA Paper 80055, University Library of Munich, Germany, revised 06 Jul 2017.

  7. Qu Feng & William C. Horrace, 2010. "Alternative Technical Efficiency Measures: Skew, Bias, and Scale," Center for Policy Research Working Papers 121, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Millo, Giovanni, 2014. "Maximum likelihood estimation of spatially and serially correlated panels with random effects," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 914-933.
    2. William Horrace & Seth Richards-Shubik, 2013. "Expected Efficiency Ranks From Parametric Stochastic Fronteir Models," Center for Policy Research Working Papers 153, Center for Policy Research, Maxwell School, Syracuse University.
    3. William C. Horrace & Christopher F. Parmeter, 2018. "A Laplace stochastic frontier model," Econometric Reviews, Taylor & Francis Journals, vol. 37(3), pages 260-280, March.
    4. Wikström, Daniel, 2012. "The fixed effects estimator of technical efficiency," Department of Economics publications 9101, Swedish University of Agricultural Sciences, Department of Economics.
    5. Feng, Qu & Horrace, William C., 2012. "Estimating technical efficiency in micro panels," Economics Letters, Elsevier, vol. 117(3), pages 730-733.
    6. Sungwon Lee & Young Lee, 2014. "Stochastic frontier models with threshold efficiency," Journal of Productivity Analysis, Springer, vol. 42(1), pages 45-54, August.
    7. Blumkin, Tomer & Danziger, Leif & Yashiv, Eran, 2016. "Optimal Unemployment Benefit Policy and the Firm Productivity Distribution," IZA Discussion Papers 9967, Institute for the Study of Labor (IZA).
    8. Zhang, Hongsong, 2013. "Biased Technology and Contribution of Technological Change to Economic Growth: Firm-Level Evidence," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150225, Agricultural and Applied Economics Association.
    9. Kutlu, Levent, 2017. "A constrained state space approach for estimating firm efficiency," Economics Letters, Elsevier, vol. 152(C), pages 54-56.
    10. Qu Feng & William Horrace & Guiying Laura Wu, 2013. "Wrong Skewness and Finite Sample Correction in Parametric Stochastic Frontier Models," Center for Policy Research Working Papers 154, Center for Policy Research, Maxwell School, Syracuse University.

  8. Badi H. Baltagi & Qu Feng & Chihwa Kao, 2009. "Testing for Sphericity in a Fixed Effects Panel Data Model (Revised July 2009)," Center for Policy Research Working Papers 112, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Sarafidis, Vasilis & Wansbeek, Tom, 2010. "Cross-sectional Dependence in Panel Data Analysis," MPRA Paper 20367, University Library of Munich, Germany.

Articles

  1. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2016. "Estimation of heterogeneous panels with structural breaks," Journal of Econometrics, Elsevier, vol. 191(1), pages 176-195.
    See citations under working paper version above.
  2. Wu, Guiying Laura & Feng, Qu & Li, Pei, 2015. "Does local governments’ budget deficit push up housing prices in China?," China Economic Review, Elsevier, vol. 35(C), pages 183-196.
    See citations under working paper version above.
  3. Feng, Qu & Wu, Guiying Laura, 2015. "Bubble or riddle? An asset-pricing approach evaluation on China's housing market," Economic Modelling, Elsevier, vol. 46(C), pages 376-383.
    See citations under working paper version above.
  4. Qu Feng & William C. Horrace, 2012. "Alternative technical efficiency measures: Skew, bias and scale," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(2), pages 253-268, March.
    See citations under working paper version above.
  5. Feng, Qu & Horrace, William C., 2012. "Estimating technical efficiency in micro panels," Economics Letters, Elsevier, vol. 117(3), pages 730-733.

    Cited by:

    1. Kutlu, Levent, 2017. "A constrained state space approach for estimating firm efficiency," Economics Letters, Elsevier, vol. 152(C), pages 54-56.
    2. Shapley, Lloyd & Shubik, Martin, 2013. "Pure competition, the coalition force and the equitable sharing," Economic Policy, Russian Presidential Academy of National Economy and Public Administration, pages 146-174, February.

  6. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012. "A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model," Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
    See citations under working paper version above.
  7. Terence Tai-Leung Chong & Ning Zhang & Qu Feng, 2011. "Structural Changes and Regional Disparity in China's Inflation," Economics Bulletin, AccessEcon, vol. 31(1), pages 572-583.

    Cited by:

    1. Aviral Kumar Tiwari & Aruna Kumar Dash & Subhendu Dutta, 2015. "Testing the mean reversion in prices of agricultural commodities in India," Economics Bulletin, AccessEcon, vol. 35(3), pages 1928-1940.

  8. Badi H. Baltagi & Qu Feng & Chihwa Kao, 2011. "Testing for sphericity in a fixed effects panel data model," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 25-47, February.

    Cited by:

    1. Badi H. Baltagi & Chihwa Kao & Bin Peng, 2014. ""On Testing for Sphericity with Non-normality in a Fixed Effects Panel Data Model," Center for Policy Research Working Papers 176, Center for Policy Research, Maxwell School, Syracuse University.
    2. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012. "A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model," Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
    3. M. Hashem Pesaran, 2015. "Testing Weak Cross-Sectional Dependence in Large Panels," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1089-1117, December.
    4. Pesaran, M. Hashem, 2012. "Testing Weak Cross-Sectional Dependence in Large Panels," IZA Discussion Papers 6432, Institute for the Study of Labor (IZA).
    5. Chudik, Alexander & Pesaran, M. Hashem, 2013. "Large panel data models with cross-sectional dependence: a survey," Globalization Institute Working Papers 153, Federal Reserve Bank of Dallas.
    6. Badi H. Baltagi & Chihwa Kao & Fa Wang, 2017. "Asymptotic power of the sphericity test under weak and strong factors in a fixed effects panel data model," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 853-882, October.
    7. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2016. "Estimation of heterogeneous panels with structural breaks," Journal of Econometrics, Elsevier, vol. 191(1), pages 176-195.
    8. Badi H. Baltagi & Chihwa Kao & Bin Peng, 2016. "Testing Cross-sectional Correlation in Large Panel Data Models with Serial Correlation," Working papers 2016-32, University of Connecticut, Department of Economics.
    9. Mao, Guangyu, 2014. "A note on tests of sphericity and cross-sectional dependence for fixed effects panel model," Economics Letters, Elsevier, vol. 122(2), pages 215-219.

  9. Feng, Qu & Horrace, William C., 2007. "Fixed-effect estimation of technical efficiency with time-invariant dummies," Economics Letters, Elsevier, vol. 95(2), pages 247-252, May.

    Cited by:

    1. Qu Feng & William C. Horrace, 2010. "Alternative Technical Efficiency Measures: Skew, Bias, and Scale," Center for Policy Research Working Papers 121, Center for Policy Research, Maxwell School, Syracuse University.
    2. Matthias Arnold & Dominik Wied, 2014. "Improved GMM estimation of random effects panel data models with spatially correlated error components," Papers in Regional Science, Wiley Blackwell, vol. 93(1), pages 77-99, March.

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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 9 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-SEA: South East Asia (5) 2010-05-02 2014-09-25 2015-01-03 2015-02-28 2017-10-01. Author is listed
  2. NEP-ECM: Econometrics (4) 2009-03-22 2013-01-07 2015-01-03 2015-05-02
  3. NEP-CNA: China (3) 2014-09-25 2015-02-28 2017-10-01
  4. NEP-TRA: Transition Economics (3) 2014-09-25 2015-02-28 2017-10-01
  5. NEP-EFF: Efficiency & Productivity (2) 2010-05-02 2017-10-01
  6. NEP-URE: Urban & Real Estate Economics (2) 2014-09-25 2015-02-28
  7. NEP-ACC: Accounting & Auditing (1) 2013-09-24
  8. NEP-CSE: Economics of Strategic Management (1) 2017-10-01
  9. NEP-ETS: Econometric Time Series (1) 2015-05-02
  10. NEP-GEO: Economic Geography (1) 2009-03-22
  11. NEP-ORE: Operations Research (1) 2015-05-02
  12. NEP-PBE: Public Economics (1) 2013-09-24
  13. NEP-PUB: Public Finance (1) 2013-09-24
  14. NEP-TID: Technology & Industrial Dynamics (1) 2017-10-01

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