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Ying Fang

Personal Details

First Name:Ying
Middle Name:
Last Name:Fang
Suffix:
RePEc Short-ID:pfa255
http://wise.xmu.edu.cn/english/index.asp
Terminal Degree:2006 Department of Economics; University of Pittsburgh (from RePEc Genealogy)

Affiliation

Wang Yanan Institute for Studies in Economics (WISE)
Xiamen University

Fujian, China
http://www.wise.xmu.edu.cn/

86-592-2180855
86-592-2187708

RePEc:edi:wixmucn (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Ying Fang & Qiuhua Xu, 2014. "具有截面相关的变系数异质面板数据模型的估计," Working Papers 2014-07-31, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  2. Zongwu Cai & Ying Fang & Henong Li, 2013. "Weak Instrumental Variables Models for Longitudinal Data," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  3. Zongwu Cai & Ying Fang, 2013. "Reducing the Asymptotic Bias of Weak Instruments Estimation Using Independently Repeated Cross-sectional Information," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  4. Ying Fang & Sung Y. Park & Jinfeng Zhang, 2013. "A Simple Spatial Dependence Test Robust to Local and Distributional Misspecifications," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  5. Zongwu Cai & Linna Chen & Ying Fang, 2013. "Semiparametric Estimation of Partially Varying-Coefficient," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  6. Rui Fan & Ying Fang & Sung Y. Park, 2013. "Resource Abundance and Economic Growth in China," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  7. Ying Fang & Yang Zhao, 2013. "Do Institutions Matter? Estimating the Effect of Institutions on Econo- mic Performance in China," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  8. Daniel Berkowitz & Mehmet Caner & Ying Fang, 2013. "The Validity of Instruments Revisited," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  9. Ying Fang & Shicheng Huang & Linlin Niu, 2013. "De Facto Currency Baskets of China and East Asian Economies: The Rising Weights," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  10. Ying Fang, 2013. "GMM with Weak Identification and Near Exogenneity," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  11. Ying Fang & Li Qi & Yang Zhao, 2013. "The “Curse of Resources” Revisited: A Different Story from China," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  12. Zongwu Cai & Linna Chen & Ying Fang, 2013. "A New Forecasting Model for USD/CNY Exchange Rate," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  13. Ying Fang & Li Qi & Zhongjian Lin, 2013. "China’s Internal Borders: Evidence from the Business Cycle Correlations across Chinese Cities," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  14. Haiqiang Chen & Ying Fang & Yingxing Li, 2013. "Estimation and Inference for Varying-coefficient Models with Nonstationary Regressors using Penalized Splines," SFB 649 Discussion Papers SFB649DP2013-033, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  15. Daniel Berkowitz & Mehmet Caner & Ying Fang, 2013. "Are "Nearly Exogenous" Instruments Reliable?," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

Articles

  1. Fang, Ying & Park, Sung Y. & Zhang, Jinfeng, 2014. "A simple spatial dependence test robust to local and distributional misspecifications," Economics Letters, Elsevier, vol. 124(2), pages 203-206.
  2. Ying Fang & Li Qi & Zhongjian Lin, 2013. "China's Internal Borders," Chinese Economy, Taylor & Francis Journals, vol. 46(3), pages 41-60, May.
  3. Fan, Rui & Fang, Ying & Park, Sung Y., 2012. "Resource abundance and economic growth in China," China Economic Review, Elsevier, vol. 23(3), pages 704-719.
  4. Berkowitz, Daniel & Caner, Mehmet & Fang, Ying, 2012. "The validity of instruments revisited," Journal of Econometrics, Elsevier, vol. 166(2), pages 255-266.
  5. Cai, Zongwu & Fang, Ying & Su, Jia, 2012. "Reducing asymptotic bias of weak instrumental estimation using independently repeated cross-sectional information," Statistics & Probability Letters, Elsevier, vol. 82(1), pages 180-185.
  6. Cai Zongwu & Chen Linna & Fang Ying, 2012. "A New Forecasting Model for USD/CNY Exchange Rate," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(3), pages 1-20, September.
  7. Fang, Ying & Ren, Yu & Yuan, Yufei, 2011. "Nonparametric estimation and testing of stochastic discount factor," Finance Research Letters, Elsevier, vol. 8(4), pages 196-205.
  8. Berkowitz, Daniel & Caner, Mehmet & Fang, Ying, 2008. "Are "Nearly Exogenous Instruments" reliable?," Economics Letters, Elsevier, vol. 101(1), pages 20-23, October.

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. Zongwu Cai & Ying Fang & Henong Li, 2013. "Weak Instrumental Variables Models for Longitudinal Data," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

    Cited by:

    1. Badi H. Baltagi & Chihwa Kao & Long Liu, 2012. "On The Estimation and Testing of Fixed Effects Panel Data Models with Weak Instruments," Center for Policy Research Working Papers 143, Center for Policy Research, Maxwell School, Syracuse University.
    2. Zongwu Cai & Linna Chen & Ying Fang, 2015. "Semiparametric Estimation of Partially Varying-Coefficient Dynamic Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 695-719, December.

  2. Zongwu Cai & Ying Fang, 2013. "Reducing the Asymptotic Bias of Weak Instruments Estimation Using Independently Repeated Cross-sectional Information," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

    Cited by:

    1. Zongwu Cai & Linna Chen & Ying Fang, 2015. "Semiparametric Estimation of Partially Varying-Coefficient Dynamic Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 695-719, December.

  3. Rui Fan & Ying Fang & Sung Y. Park, 2013. "Resource Abundance and Economic Growth in China," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

    Cited by:

    1. Charlier, Christophe & Guillou, Sarah, 2014. "Distortion Effects of Export Quota Policy: an Analysis of the China - Raw Materials Dispute," Climate Change and Sustainable Development 186732, Fondazione Eni Enrico Mattei (FEEM).
    2. Zuo, Na & Zhong, Hua, 2019. "The Effect of Resource Wealth on Regional Economic Development in China," 2019 Annual Meeting, July 21-23, Atlanta, Georgia 291114, Agricultural and Applied Economics Association.
    3. Zuo, Na & Zhong, Hua, 2020. "Can resource policy reverse the resource curse? Evidence from China," Resources Policy, Elsevier, vol. 68(C).
    4. Kan Ji & Jan Magnus & Wendun Wang, 2014. "Natural Resources, Institutional Quality, and Economic Growth in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(3), pages 323-343, March.
    5. He, Xiaoping & Mou, Dunguo, 2020. "Impacts of mineral resources: Evidence from county economies in China," Energy Policy, Elsevier, vol. 136(C).
    6. Hui Hu & Weijun Ran & Yuchen Wei & Xiang Li, 2020. "Do Energy Resource Curse and Heterogeneous Curse Exist in Provinces? Evidence from China," Energies, MDPI, Open Access Journal, vol. 13(17), pages 1-25, August.
    7. Cheng, Zhonghua & Li, Lianshui & Liu, Jun, 2020. "Natural resource abundance, resource industry dependence and economic green growth in China," Resources Policy, Elsevier, vol. 68(C).
    8. Hilmawan, Rian & Clark, Jeremy, 2019. "An investigation of the resource curse in Indonesia," Resources Policy, Elsevier, vol. 64(C).
    9. Shahbaz, Muhammad & Ahmed, Khalid & Tiwari, Aviral Kumar & Jiao, Zhilun, 2019. "Resource Curse Hypothesis and Role of Oil Prices in USA," MPRA Paper 96633, University Library of Munich, Germany, revised 14 Oct 2019.
    10. Xu, Xiaoliang & Xu, Xuefen & Chen, Qian & Che, Ying, 2015. "The impact on regional “resource curse” by coal resource tax reform in China—A dynamic CGE appraisal," Resources Policy, Elsevier, vol. 45(C), pages 277-289.
    11. Dauvin, Magali & Guerreiro, David, 2017. "The Paradox of Plenty: A Meta-Analysis," World Development, Elsevier, vol. 94(C), pages 212-231.
    12. Xu, Hangtian & Nakajima, Kentaro, 2013. "The Role of Coal Mine Regulation in Regional Development," PRIMCED Discussion Paper Series 45, Institute of Economic Research, Hitotsubashi University.

  4. Ying Fang & Yang Zhao, 2013. "Do Institutions Matter? Estimating the Effect of Institutions on Econo- mic Performance in China," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

    Cited by:

    1. Lai, Huiwen & Maskus, Keith E. & Yang, Lei, 2020. "Intellectual property enforcement, exports and productivity of heterogeneous firms in developing countries: Evidence from China," European Economic Review, Elsevier, vol. 123(C).
    2. Huiwen Lai & Keith E. Maskus & Lei Yang, 2018. "Intellectual Property Enforcement, Exports and Productivity: Evidence from China," RSCAS Working Papers 2018/39, European University Institute.
    3. Puruweti Siyakiya, 2017. "The Impact of Institutional Quality on Economic Performance: An Empirical Study of European Union 28 and Prospective Member Countries," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 3(2), pages 3-24, December.
    4. He, Xiaobo, 2013. "Wages and Access to International Markets: Evidence from Urban China," MPRA Paper 44537, University Library of Munich, Germany.

  5. Daniel Berkowitz & Mehmet Caner & Ying Fang, 2013. "The Validity of Instruments Revisited," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

    Cited by:

    1. Andr'es Riquelme & Marcela Parada, 2016. "The Value of A Statistical Life in Absence of Panel Data: What can we do?," Papers 1603.00568, arXiv.org.
    2. Firmin Doko Tchatoka & Wenjie Wang, 2020. "Uniform Inference after Pretesting for Exogeneity," School of Economics Working Papers 2020-05, University of Adelaide, School of Economics.
    3. Hans (J.L.W.) van Kippersluis & Niels (C.A.) Rietveld, 2017. "Beyond Plausibly Exogenous," Tinbergen Institute Discussion Papers 17-096/V, Tinbergen Institute.
    4. DiTraglia, Francis J., 2016. "Using invalid instruments on purpose: Focused moment selection and averaging for GMM," Journal of Econometrics, Elsevier, vol. 195(2), pages 187-208.
    5. Caner, Mehmet, 2014. "Near exogeneity and weak identification in generalized empirical likelihood estimators: Many moment asymptotics," Journal of Econometrics, Elsevier, vol. 182(2), pages 247-268.
    6. Seojeong Lee, 2015. "A Consistent Variance Estimator for 2SLS When Instruments Identify Different LATEs," Discussion Papers 2015-01, School of Economics, The University of New South Wales.
    7. Urbain Thierry Yogo, 2015. "Terrorism and Fiscal Policy Volatility in Developing Countries: Evidence from cross-country and Panel Data," Working Papers halshs-01161601, HAL.
    8. Firmin Doko Tchatoka, 2014. "Specification Tests with Weak and Invalid Instruments," School of Economics Working Papers 2014-05, University of Adelaide, School of Economics.
    9. Cheng, Xu & Liao, Zhipeng, 2015. "Select the valid and relevant moments: An information-based LASSO for GMM with many moments," Journal of Econometrics, Elsevier, vol. 186(2), pages 443-464.
    10. Dang, Duc Anh, 2013. "How foreign direct investment promote institutional quality: Evidence from Vietnam," Journal of Comparative Economics, Elsevier, vol. 41(4), pages 1054-1072.
    11. Fabio Santeramo, 2015. "A cursory review of the identification strategies," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 3(1), pages 1-8, December.
    12. Timothy B. Armstrong & Michal Kolesár, 2018. "Sensitivity Analysis using Approximate Moment Condition Models," Cowles Foundation Discussion Papers 2158R, Cowles Foundation for Research in Economics, Yale University, revised Feb 2019.
    13. Seojeong Lee, 2013. "Asymptotic Refinements of a Misspecification-Robust Bootstrap for Generalized Method of Moments Estimators," Discussion Papers 2013-09, School of Economics, The University of New South Wales.
    14. Bertocchi, Graziella & Dimico, Arcangelo, 2012. "The racial gap in education and the legacy of slavery," Journal of Comparative Economics, Elsevier, vol. 40(4), pages 581-595.
    15. Jan F. Kiviet & Jerzy Niemczyk, 2014. "On the Limiting and Empirical Distributions of IV Estimators When Some of the Instruments are Actually Endogenous," Advances in Econometrics, in: Yoosoon Chang & Thomas B. Fomby & Joon Y. Park (ed.),Essays in Honor of Peter C. B. Phillips, volume 33, pages 425-490, Emerald Publishing Ltd.
    16. Olper, A. & Falco, C. & Galeotti, M., 2018. "Climate Change, Agriculture and Migration: Is there a Causal Relationship ?," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277488, International Association of Agricultural Economists.
    17. Jakob Brochner Madsen & MD. Rabiul Islam & Hristos Doucouliagos, 2016. "Inequality, Financial Development and Economic Growth in the OECD, 1870-2011," Monash Economics Working Papers 18-16, Monash University, Department of Economics.
    18. Chiara Falco & Marzio Galeotti & Alessandro Olper, 2018. "Climate change and Migration: Is Agriculture the Main Channel?," IEFE Working Papers 100, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    19. James B. Ang & Per G. Fredriksson, 2017. "Statehood Experience, Legal Traditions, And Climate Change Policies," Economic Inquiry, Western Economic Association International, vol. 55(3), pages 1511-1537, July.
    20. Firmin Doko Tchatoka & Wenjie Wang, 2015. "On Bootstrap Validity for Subset Anderson-Rubin Test in IV Regressions," School of Economics Working Papers 2015-01, University of Adelaide, School of Economics.
    21. Islam, Md. Rabiul & Madsen, Jakob B. & Doucouliagos, Hristos, 2018. "Does inequality constrain the power to tax? Evidence from the OECD," European Journal of Political Economy, Elsevier, vol. 52(C), pages 1-17.
    22. Iyer, Lakshmi & Meng, Xin & Qian, Nancy & Zhao, Xiaoxue, 2019. "Economic transition and private-sector labor: Evidence from urban China," Journal of Comparative Economics, Elsevier, vol. 47(3), pages 579-600.
    23. Daniel L. Bennett & Hugo J. Faria & James D. Gwartney & Hugo M. Montesinos-Yufa & Daniel R. Morales & Carlos E. Navarro, 2017. "Evidence on economic versus political institutions as determinants of development," Working Papers 2017-04, University of Miami, Department of Economics.
    24. Buonanno, Paolo & Vargas, Juan F., 2020. "Inequality, Crime, and the Long-Run Legacy of Slavery," IDB Publications (Working Papers) 8248, Inter-American Development Bank.
    25. Caner, Mehmet & Sandler Morrill, Melinda, 2009. "A New Paradigm: A Joint Test of Structural and Correlation Parameters in Instrumental Variables Regression When Perfect Exogeneity is Violated," MPRA Paper 17689, University Library of Munich, Germany.
    26. Qingliang Fan & Yaqian Wu, 2020. "Endogenous Treatment Effect Estimation with some Invalid and Irrelevant Instruments," Papers 2006.14998, arXiv.org.
    27. Timothy B. Armstrong & Michal Kolesár, 2018. "Sensitivity Analysis using Approximate Moment Condition Models," Cowles Foundation Discussion Papers 2158, Cowles Foundation for Research in Economics, Yale University.
    28. Cai, Zongwu & Fang, Ying & Su, Jia, 2012. "Reducing asymptotic bias of weak instrumental estimation using independently repeated cross-sectional information," Statistics & Probability Letters, Elsevier, vol. 82(1), pages 180-185.
    29. Volpe Martincus, Christian & Carballo, Jerónimo & Cusolito, Ana, 2017. "Roads, exports and employment: Evidence from a developing country," Journal of Development Economics, Elsevier, vol. 125(C), pages 21-39.
    30. Timothy B. Armstrong & Michal Koles'ar, 2018. "Sensitivity Analysis using Approximate Moment Condition Models," Papers 1808.07387, arXiv.org, revised Jul 2020.
    31. Zhou, Lixing & Takane, Yoshio & Hwang, Heungsun, 2016. "Dynamic GSCANO (Generalized Structured Canonical Correlation Analysis) with applications to the analysis of effective connectivity in functional neuroimaging data," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 93-109.
    32. Brückner, Markus & Gradstein, Mark, 2015. "Income growth, ethnic polarization, and political risk: Evidence from international oil price shocks," Journal of Comparative Economics, Elsevier, vol. 43(3), pages 575-594.
    33. Vu, Trung V., 2019. "Does institutional quality foster economic complexity?," MPRA Paper 97843, University Library of Munich, Germany.
    34. Vu, Trung V., 2020. "Statehood experience and income inequality: A historical perspective," MPRA Paper 100428, University Library of Munich, Germany.
    35. Francis J. DiTraglia, 2011. "Using Invalid Instruments on Purpose: Focused Moment Selection and Averaging for GMM, Second Version," PIER Working Paper Archive 14-045, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 09 Dec 2014.
    36. Francis DiTraglia, 2011. "Using Invalid Instruments on Purpose: Focused Moment Selection and Averaging for GMM, Second Version," PIER Working Paper Archive 15-027, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 10 Aug 2015.
    37. Byunghoon Kang, 2018. "Higher Order Approximation of IV Estimators with Invalid Instruments," Working Papers 257105320, Lancaster University Management School, Economics Department.
    38. Santeramo, Fabio Gaetano, 2014. "On the Estimation of Supply and Demand Elasticities of Agricultural Commodites," MPRA Paper 56126, University Library of Munich, Germany.
    39. Chen, Tao, 2015. "Institutions, board structure, and corporate performance: Evidence from Chinese firms," Journal of Corporate Finance, Elsevier, vol. 32(C), pages 217-237.
    40. Berkowitz, Daniel & Hoekstra, Mark, 2011. "Does high school quality matter? Evidence from admissions data," Economics of Education Review, Elsevier, vol. 30(2), pages 280-288, April.
    41. Zongwu Cai & Linna Chen & Ying Fang, 2015. "Semiparametric Estimation of Partially Varying-Coefficient Dynamic Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 695-719, December.
    42. Ruoyao Shi & Zhipeng Liao, 2018. "An Averaging GMM Estimator Robust to Misspecification," Working Papers 201803, University of California at Riverside, Department of Economics.
    43. Faria, Hugo J. & Montesinos-Yufa, Hugo M. & Morales, Daniel R. & Navarro, Carlos E., 2016. "Unbundling the roles of human capital and institutions in economic development," European Journal of Political Economy, Elsevier, vol. 45(S), pages 108-128.
    44. Xu Cheng & Zhipeng Liao, 2012. "Select the Valid and Relevant Moments: A One-Step Procedure for GMM with Many Moments," PIER Working Paper Archive 12-045, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

  6. Ying Fang & Shicheng Huang & Linlin Niu, 2013. "De Facto Currency Baskets of China and East Asian Economies: The Rising Weights," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

    Cited by:

    1. Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin L., 2016. "Chinese liquidity increases and the U.S. economy," Economic Modelling, Elsevier, vol. 52(PB), pages 764-771.
    2. Arvind Subramanian & Martin Kessler, 2012. "The Renminbi Bloc is Here: Asia Down, Rest of the World to Go?," Working Paper Series WP12-19, Peterson Institute for International Economics, revised 2013.
    3. Vespignani, Joaquin L. & Ratti, Ronald A., 2016. "Not all international monetary shocks are alike for the Japanese economy," Economic Modelling, Elsevier, vol. 52(PB), pages 822-837.
    4. Vespignani, Joaquin L. & Ratti, Ronald A, 2013. "Chinese monetary expansion and the U.S. economy: A note‎," MPRA Paper 46961, University Library of Munich, Germany.
    5. Gu, Li & McNelis, Paul D., 2013. "Yen/Dollar volatility and Chinese fear of floating: Pressures from the NDF market," Pacific-Basin Finance Journal, Elsevier, vol. 22(C), pages 37-49.
    6. Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin L., 2014. "Liquidity expansion in China and the U.S. economy," MPRA Paper 59338, University Library of Munich, Germany.
    7. Martina Jiránková, 2014. "Is the Chinese Currency on the Way to the World Currency Status? [Je čínská měna na cestě k pozici světové měny?]," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2014(3), pages 3-16.

  7. Ying Fang & Li Qi & Yang Zhao, 2013. "The “Curse of Resources” Revisited: A Different Story from China," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

    Cited by:

    1. Alexeev, Michael & Chernyavskiy, Andrey, 2015. "Taxation of natural resources and economic growth in Russia's regions," Economic Systems, Elsevier, vol. 39(2), pages 317-338.
    2. Fan, Rui & Fang, Ying & Park, Sung Y., 2012. "Resource abundance and economic growth in China," China Economic Review, Elsevier, vol. 23(3), pages 704-719.
    3. Michael Alexeev & Yao-Yu Chih, 2017. "Oil Price Shocks and Economic Growth in the Us," CAEPR Working Papers 2017-011, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    4. Olga Gennadyevna Vasilyeva, 2018. "Natural Resources: How to Measure Them in ‘Resource Curse’ Studies," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 4, pages 67-91.

  8. Zongwu Cai & Linna Chen & Ying Fang, 2013. "A New Forecasting Model for USD/CNY Exchange Rate," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

    Cited by:

    1. Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin L., 2016. "Chinese liquidity increases and the U.S. economy," Economic Modelling, Elsevier, vol. 52(PB), pages 764-771.
    2. Ying Fang & Shicheng Huang & Linlin Niu, 2013. "De Facto Currency Baskets of China and East Asian Economies: The Rising Weights," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    3. Vespignani, Joaquin L. & Ratti, Ronald A., 2016. "Not all international monetary shocks are alike for the Japanese economy," Economic Modelling, Elsevier, vol. 52(PB), pages 822-837.
    4. Vespignani, Joaquin L. & Ratti, Ronald A, 2013. "Chinese monetary expansion and the U.S. economy: A note‎," MPRA Paper 46961, University Library of Munich, Germany.
    5. Marek Vochozka & Jakub Horák & Petr Šuleř, 2019. "Equalizing Seasonal Time Series Using Artificial Neural Networks in Predicting the Euro–Yuan Exchange Rate," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 12(2), pages 1-17, April.
    6. Nan Cai & Zongwu Cai & Ying Fang & Qiuhua Xu, 2015. "Forecasting major Asian exchange rates using a new semiparametric STAR model," Empirical Economics, Springer, vol. 48(1), pages 407-426, February.
    7. Zongwu Cai & Linna Chen & Ying Fang, 2015. "Semiparametric Estimation of Partially Varying-Coefficient Dynamic Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 695-719, December.
    8. Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin L., 2014. "Liquidity expansion in China and the U.S. economy," MPRA Paper 59338, University Library of Munich, Germany.

  9. Haiqiang Chen & Ying Fang & Yingxing Li, 2013. "Estimation and Inference for Varying-coefficient Models with Nonstationary Regressors using Penalized Splines," SFB 649 Discussion Papers SFB649DP2013-033, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

    Cited by:

    1. Poeschel, Friedrich, 2012. "Assortative matching through signals," IAB Discussion Paper 201215, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Liddle, Brantley & Messinis, George, 2014. "Revisiting carbon Kuznets curves with endogenous breaks modeling: Evidence of decoupling and saturation (but few inverted-Us) for individual OECD countries," MPRA Paper 59566, University Library of Munich, Germany.

  10. Daniel Berkowitz & Mehmet Caner & Ying Fang, 2013. "Are "Nearly Exogenous" Instruments Reliable?," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

    Cited by:

    1. Firmin Doko Tchatoka & Wenjie Wang, 2020. "Uniform Inference after Pretesting for Exogeneity," School of Economics Working Papers 2020-05, University of Adelaide, School of Economics.
    2. DiTraglia, Francis J., 2016. "Using invalid instruments on purpose: Focused moment selection and averaging for GMM," Journal of Econometrics, Elsevier, vol. 195(2), pages 187-208.
    3. Kraay, Aart, 2008. "Instrumental variables regressions with honestly uncertain exclusion restrictions," Policy Research Working Paper Series 4632, The World Bank.
    4. Berkowitz, Daniel & DeJong, David N., 2011. "Growth in post-Soviet Russia: A tale of two transitions," Journal of Economic Behavior & Organization, Elsevier, vol. 79(1-2), pages 133-143, June.
    5. Caner, Mehmet, 2014. "Near exogeneity and weak identification in generalized empirical likelihood estimators: Many moment asymptotics," Journal of Econometrics, Elsevier, vol. 182(2), pages 247-268.
    6. Seojeong Lee, 2015. "A Consistent Variance Estimator for 2SLS When Instruments Identify Different LATEs," Discussion Papers 2015-01, School of Economics, The University of New South Wales.
    7. Firmin Doko Tchatoka, 2014. "Specification Tests with Weak and Invalid Instruments," School of Economics Working Papers 2014-05, University of Adelaide, School of Economics.
    8. Dang, Duc Anh, 2013. "How foreign direct investment promote institutional quality: Evidence from Vietnam," Journal of Comparative Economics, Elsevier, vol. 41(4), pages 1054-1072.
    9. Lavergne, Pascal, 2015. "Assessing the Approximate Validity of Moment Restrictions," TSE Working Papers 15-562, Toulouse School of Economics (TSE), revised May 2020.
    10. Seojeong Lee, 2013. "Asymptotic Refinements of a Misspecification-Robust Bootstrap for Generalized Method of Moments Estimators," Discussion Papers 2013-09, School of Economics, The University of New South Wales.
    11. Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2020. "On the Informativeness of Descriptive Statistics for Structural Estimates," Working Papers 2020-06, Brown University, Department of Economics.
    12. Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2017. "Measuring the Sensitivity of Parameter Estimates to Estimation Moments," The Quarterly Journal of Economics, Oxford University Press, vol. 132(4), pages 1553-1592.
    13. Michal Kolesár & Raj Chetty & John Friedman & Edward Glaeser & Guido W. Imbens, 2015. "Identification and Inference With Many Invalid Instruments," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 474-484, October.
    14. Jan F. Kiviet & Jerzy Niemczyk, 2014. "On the Limiting and Empirical Distributions of IV Estimators When Some of the Instruments are Actually Endogenous," Advances in Econometrics, in: Yoosoon Chang & Thomas B. Fomby & Joon Y. Park (ed.),Essays in Honor of Peter C. B. Phillips, volume 33, pages 425-490, Emerald Publishing Ltd.
    15. Kapetanios, George & Khalaf, Lynda & Marcellino, Massimiliano, 2015. "Factor based identification-robust inference in IV regressions," CEPR Discussion Papers 10390, C.E.P.R. Discussion Papers.
    16. Daniel Berkowitz & Mehmet Caner & Ying Fang, 2013. "The Validity of Instruments Revisited," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    17. Daniel L. Bennett & Hugo J. Faria & James D. Gwartney & Hugo M. Montesinos-Yufa & Daniel R. Morales & Carlos E. Navarro, 2017. "Evidence on economic versus political institutions as determinants of development," Working Papers 2017-04, University of Miami, Department of Economics.
    18. Cai, Zongwu & Fang, Ying & Su, Jia, 2012. "Reducing asymptotic bias of weak instrumental estimation using independently repeated cross-sectional information," Statistics & Probability Letters, Elsevier, vol. 82(1), pages 180-185.
    19. Francis DiTraglia, 2011. "Using Invalid Instruments on Purpose: Focused Moment Selection and Averaging for GMM, Second Version," PIER Working Paper Archive 15-027, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 10 Aug 2015.
    20. Byunghoon Kang, 2018. "Higher Order Approximation of IV Estimators with Invalid Instruments," Working Papers 257105320, Lancaster University Management School, Economics Department.
    21. Faria, Hugo J. & Montesinos-Yufa, Hugo M. & Morales, Daniel R. & Navarro, Carlos E., 2016. "Unbundling the roles of human capital and institutions in economic development," European Journal of Political Economy, Elsevier, vol. 45(S), pages 108-128.
    22. Rietveld, Cornelius A. & Webbink, Dinand, 2016. "On the genetic bias of the quarter of birth instrument," Economics & Human Biology, Elsevier, vol. 21(C), pages 137-146.

Articles

  1. Ying Fang & Li Qi & Zhongjian Lin, 2013. "China's Internal Borders," Chinese Economy, Taylor & Francis Journals, vol. 46(3), pages 41-60, May.

    Cited by:

    1. Emanuele Schimmenti & Antonino Galati & Valeria Borsellino, 2014. "The quality of websites and their impact on economic performance: the case of nurseries and gardening companies in the Italian 'Mezzogiorno' regions," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 6(1), pages 72-87.

  2. Fan, Rui & Fang, Ying & Park, Sung Y., 2012. "Resource abundance and economic growth in China," China Economic Review, Elsevier, vol. 23(3), pages 704-719.
    See citations under working paper version above.
  3. Berkowitz, Daniel & Caner, Mehmet & Fang, Ying, 2012. "The validity of instruments revisited," Journal of Econometrics, Elsevier, vol. 166(2), pages 255-266.
    See citations under working paper version above.
  4. Cai, Zongwu & Fang, Ying & Su, Jia, 2012. "Reducing asymptotic bias of weak instrumental estimation using independently repeated cross-sectional information," Statistics & Probability Letters, Elsevier, vol. 82(1), pages 180-185.
    See citations under working paper version above.
  5. Cai Zongwu & Chen Linna & Fang Ying, 2012. "A New Forecasting Model for USD/CNY Exchange Rate," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(3), pages 1-20, September.
    See citations under working paper version above.
  6. Fang, Ying & Ren, Yu & Yuan, Yufei, 2011. "Nonparametric estimation and testing of stochastic discount factor," Finance Research Letters, Elsevier, vol. 8(4), pages 196-205.

    Cited by:

    1. Patrick Gagliardini & Diego Ronchetti, 2020. "Comparing Asset Pricing Models by the Conditional Hansen-Jagannathan Distance," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 18(2), pages 333-394.

  7. Berkowitz, Daniel & Caner, Mehmet & Fang, Ying, 2008. "Are "Nearly Exogenous Instruments" reliable?," Economics Letters, Elsevier, vol. 101(1), pages 20-23, October.
    See citations under working paper version above.

More information

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Statistics

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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-TRA: Transition Economics (5) 2014-05-09 2014-05-09 2014-05-09 2014-05-09 2014-05-09. Author is listed
  2. NEP-ECM: Econometrics (3) 2013-07-28 2014-05-09 2014-05-09
  3. NEP-ENE: Energy Economics (2) 2014-05-09 2014-05-09
  4. NEP-GRO: Economic Growth (2) 2014-05-09 2014-05-09
  5. NEP-MON: Monetary Economics (2) 2014-05-09 2014-05-09
  6. NEP-URE: Urban & Real Estate Economics (2) 2014-05-09 2014-05-09
  7. NEP-ETS: Econometric Time Series (1) 2013-07-28
  8. NEP-FOR: Forecasting (1) 2014-05-09
  9. NEP-GEO: Economic Geography (1) 2014-05-09
  10. NEP-HIS: Business, Economic & Financial History (1) 2014-05-09
  11. NEP-OPM: Open Economy Macroeconomics (1) 2014-05-09
  12. NEP-ORE: Operations Research (1) 2013-07-28
  13. NEP-SEA: South East Asia (1) 2014-05-09

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