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Ying Fang

Personal Details

First Name:Ying
Middle Name:
Last Name:Fang
Suffix:
RePEc Short-ID:pfa255
[This author has chosen not to make the email address public]
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/
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. Chen, Haiqiang & Fang, Ying & Li, Yingxing, 2013. "Estimation and inference for varying-coeffcient models with nonstationary regressors using penalized splines," SFB 649 Discussion Papers 2013-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. Chen, Haiqiang & Fang, Ying & Li, Yingxing, 2013. "Estimation and inference for varying-coeffcient models with nonstationary regressors using penalized splines," SFB 649 Discussion Papers 2013-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  16. 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.
    3. Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2019. "Heterogeneous Choice Sets and Preferences," Papers 1907.02337, arXiv.org, revised Feb 2021.
    4. Pietro Tebaldi & Alexander Torgovitsky & Hanbin Yang, 2019. "Nonparametric Estimates of Demand in the California Health Insurance Exchange," NBER Working Papers 25827, National Bureau of Economic Research, Inc.

  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. 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.

    Cited by:

    1. Malabika Koley & Anil K. Bera, 2022. "Testing for spatial dependence in a spatial autoregressive (SAR) model in the presence of endogenous regressors," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-46, December.
    2. Anil K. Bera & Yannis Bilias, 2024. "Three Scores and 15 Years (1948-2023) of Rao's Score Test: A Brief History," Papers 2406.19956, arXiv.org, revised Oct 2024.

  4. 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.

    Cited by:

    1. Hu, Xuemei, 2017. "Semi-parametric inference for semi-varying coefficient panel data model with individual effects," Journal of Multivariate Analysis, Elsevier, vol. 154(C), pages 262-281.

  5. 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. Lei Wen & Hongbing Li & Xueying Bian, 2024. "Local environmental legislation and employment growth: evidence from Chinese manufacturing firms," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 16917-16955, July.
    2. Christophe Charlier & Sarah Guillou, 2013. "Distortion effects of Export quota policy: an analysis ofThe China - Raw materials dispute," Documents de Travail de l'OFCE 2013-07, Observatoire Francais des Conjonctures Economiques (OFCE).
    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. Zhou, Shuai & Qian, Yudan & Farmanesh, Panteha, 2022. "The economic cost of environmental laws: Volatility transmission mechanism and remedies," Resources Policy, Elsevier, vol. 79(C).
    6. 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.
    7. Dauvin, Magali & Guerreiro, David, 2017. "The Paradox of Plenty: A Meta-Analysis," World Development, Elsevier, vol. 94(C), pages 212-231.
    8. Abdul Rahim Ridzuan & Mohd Shahidan Shaari & Anita Rosli & Abdul Rahim Md Jamil & Siswantini Siswantini & Arsiyanti Lestari & Shahsuzan Zakaria, 2021. "The Nexus between Economic Growth and Natural Resource Abundance in Selected ASEAN countries before Pandemic Covid-19," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 281-292.
    9. 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.
    10. Cheng, Zhonghua & Li, Xiang & Wang, Meixiao, 2021. "Resource curse and green economic growth," Resources Policy, Elsevier, vol. 74(C).
    11. Rian Hilmawan & Jeremy Clark, 2018. "Resource Dependence and the Causes of Local Economic Growth: An Empirical Investigation," Working Papers in Economics 18/12, University of Canterbury, Department of Economics and Finance.
    12. Nasiru Inuwa & Sagir Adamu & Mohammed Bello Sani & Abubakar Muhammad Saidu, 2022. "Resource Curse Hypothesis in GCC Member Countries: Evidence from Seemingly Unrelated Regression," Biophysical Economics and Resource Quality, Springer, vol. 7(4), pages 1-10, December.
    13. Shahbaz, Muhammad & Ahmed, Khalid & Tiwari, Aviral Kumar & Jiao, Zhilun, 2019. "Resource curse hypothesis and role of oil prices in USA," Resources Policy, Elsevier, vol. 64(C).
    14. He, Xiaoping & Mou, Dunguo, 2020. "Impacts of mineral resources: Evidence from county economies in China," Energy Policy, Elsevier, vol. 136(C).
    15. Alssadek, Marwan & Benhin, James, 2023. "Natural resource curse: A literature survey and comparative assessment of regional groupings of oil-rich countries," Resources Policy, Elsevier, vol. 84(C).
    16. Shi, Rubiao & Gao, Pengfei & Su, Xufeng & Zhang, Xi & Yang, Xiaodong, 2024. "Synergizing natural resources and sustainable development: A study of industrial structure, and green innovation in Chinese region," Resources Policy, Elsevier, vol. 88(C).
    17. Xiaoyu Li & Lan Xu, 2021. "Human development associated with environmental quality in China," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-21, February.
    18. 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.
    19. Hui Hu & Weijun Ran & Yuchen Wei & Xiang Li, 2020. "Do Energy Resource Curse and Heterogeneous Curse Exist in Provinces? Evidence from China," Energies, MDPI, vol. 13(17), pages 1-26, August.
    20. Mamoudou Camara, 2023. "Bauxite mining and economic growth in Guinea over the period 1986–2020: empirical evidence from ARDL and NARDL approaches," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(1), pages 157-179, January.
    21. Magali Dauvin & David Guerreiro, 2016. "The Paradox of Plenty: A Meta-Analysis," Working Papers hal-04141596, HAL.
    22. Jiang, Chun & Zhang, Yadi & Kamran, Hafiz Waqas & Afshan, Sahar, 2021. "Understanding the dynamics of the resource curse and financial development in China? A novel evidence based on QARDL model," Resources Policy, Elsevier, vol. 72(C).
    23. 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).
    24. Adabor, Opoku, 2023. "The effect of financial development on natural gas resource rent in Ghana," Resources Policy, Elsevier, vol. 83(C).
    25. Cheng Peng & Dianzhuang Feng & Hai Long, 2022. "Assessing the Contribution of Natural Gas Exploitation to the Local Economic Growth in China," Energies, MDPI, vol. 15(16), pages 1-17, August.
    26. Hilmawan, Rian & Clark, Jeremy, 2019. "An investigation of the resource curse in Indonesia," Resources Policy, Elsevier, vol. 64(C).
    27. Ahmad, Fayyaz & Draz, Muhammad Umar & Chang, Wei-Yew & Yang, Su-Chang & Su, Lijuan, 2021. "More than the resource curse: Exploring the nexus of natural resource abundance and environmental quality in northwestern China," Resources Policy, Elsevier, vol. 70(C).
    28. Ai, Hongshan & Tan, Xiaoqing & Zhou, Shengwen & Liu, Wen, 2023. "The impact of supportive policy for resource-exhausted cities on carbon emission: Evidence from China," Resources Policy, Elsevier, vol. 85(PB).
    29. Wu, Linfei & Sun, Liwen & Qi, Peixiao & Ren, Xiangwei & Sun, Xiaoting, 2021. "Energy endowment, industrial structure upgrading, and CO2 emissions in China: Revisiting resource curse in the context of carbon emissions," Resources Policy, Elsevier, vol. 74(C).

  6. Chen, Haiqiang & Fang, Ying & Li, Yingxing, 2013. "Estimation and inference for varying-coeffcient models with nonstationary regressors using penalized splines," SFB 649 Discussion Papers 2013-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Poeschel, Friedrich, 2012. "Assortative matching through signals," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62061, Verein für Socialpolitik / German Economic Association.
    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.
    3. Cui, Liyuan & Hong, Yongmiao & Li, Yingxing, 2021. "Solving Euler equations via two-stage nonparametric penalized splines," Journal of Econometrics, Elsevier, vol. 222(2), pages 1024-1056.
    4. Lin, Yingqian & Tu, Yundong, 2024. "Functional coefficient cointegration models with Box–Cox transformation," Economics Letters, Elsevier, vol. 234(C).

  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.

    Cited by:

    1. 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.
    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. He, Xiaobo, 2013. "Wages and Access to International Markets: Evidence from Urban China," MPRA Paper 44537, University Library of Munich, Germany.
    4. 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).

  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.

    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. Trung V. Vu, 2022. "Does institutional quality foster economic complexity? The fundamental drivers of productive capabilities," Empirical Economics, Springer, vol. 63(3), pages 1571-1604, September.
    3. Doko Tchatoka, Firmin & Wang, Wenjie, 2021. "Uniform Inference after Pretesting for Exogeneity with Heteroskedastic Data," MPRA Paper 106408, University Library of Munich, Germany.
    4. 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.
    5. Santeramo, Fabio Gaetano, 2014. "On the estimation of supply and demand elasticities of agricultural commodites," AGRODEP technical notes TN-10, International Food Policy Research Institute (IFPRI).
    6. Byunghoon Kang, 2018. "Higher Order Approximation of IV Estimators with Invalid Instruments," Working Papers 257105320, Lancaster University Management School, Economics Department.
    7. Xing Shi & Ya Zhang & Yanrui Wu & Huaqing Wu, 2023. "Political Turnover and Firm Innovation in China: The Moderating Role of Innovation and Entrepreneurship Environment," Economics Discussion / Working Papers 23-08, The University of Western Australia, Department of Economics.
    8. 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.
    9. Chen, Tao, 2015. "Institutions, board structure, and corporate performance: Evidence from Chinese firms," Journal of Corporate Finance, Elsevier, vol. 32(C), pages 217-237.
    10. Firmin Doko Tchatoka & Wenjie Wang, 2020. "Uniform Inference after Pretesting for Exogeneity," School of Economics and Public Policy Working Papers 2020-05, University of Adelaide, School of Economics and Public Policy.
    11. 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.
    12. Doko Tchatoka, Firmin, 2012. "Specification tests with weak and invalid instruments," Working Papers 15063, University of Tasmania, Tasmanian School of Business and Economics, revised 26 Jun 2012.
    13. 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.
    14. Seojeong Lee, 2018. "A Consistent Variance Estimator for 2SLS When Instruments Identify Different LATEs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(3), pages 400-410, July.
    15. 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.
    16. Hans (J.L.W.) van Kippersluis & Niels (C.A.) Rietveld, 2017. "Beyond Plausibly Exogenous," Tinbergen Institute Discussion Papers 17-096/V, Tinbergen Institute.
    17. 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.
    18. 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.
    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. Urbain Thierry Yogo, 2015. "Terrorism and Fiscal Policy Volatility in Developing Countries: Evidence from cross-country and Panel Data," Working Papers halshs-01161601, HAL.
    21. Urbain Thierry Yogo, 2015. "Terrorism and Fiscal Policy Volatility in Developing Countries: Evidence from cross-country and Panel Data," CERDI Working papers halshs-01161601, HAL.
    22. Firmin Doko Tchatoka & Wenjie Wang, 2015. "On Bootstrap Validity for Subset Anderson-Rubin Test in IV Regressions," School of Economics and Public Policy Working Papers 2015-01, University of Adelaide, School of Economics and Public Policy.
    23. 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.
    24. Timothy B. Armstrong & Michal Kolesár, 2021. "Sensitivity analysis using approximate moment condition models," Quantitative Economics, Econometric Society, vol. 12(1), pages 77-108, January.
    25. Vu, Trung V., 2021. "Statehood experience and income inequality: A historical perspective," Economic Modelling, Elsevier, vol. 94(C), pages 415-429.
    26. Lee, Seojeong, 2014. "Asymptotic refinements of a misspecification-robust bootstrap for generalized method of moments estimators," Journal of Econometrics, Elsevier, vol. 178(P3), pages 398-413.
    27. 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.
    28. 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.
    29. 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.
    30. Buonanno, Paolo & Vargas, Juan F., 2017. "Inequality, Crime, and the Long-Run Legacy of Slavery," IDB Publications (Working Papers) 8248, Inter-American Development Bank.
    31. Caner, Mehmet & 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 16790, University Library of Munich, Germany.
    32. Ruoyao Shi & Zhipeng Liao, 2018. "An Averaging GMM Estimator Robust to Misspecification," Working Papers 201803, University of California at Riverside, Department of Economics.
    33. Jan F. KIVIET & Jerzy NIEMCZYK, 2013. "On the limiting and empirical distributions of IV estimators when some of the instruments are actually endogenous," Economic Growth Centre Working Paper Series 1311, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    34. 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.
    35. 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.
    36. Qingliang Fan & Yaqian Wu, 2020. "Endogenous Treatment Effect Estimation with some Invalid and Irrelevant Instruments," Papers 2006.14998, arXiv.org.
    37. Shi, Xing & Zhang, Ya & Wu, Yanrui & Wu, Huaqing, 2023. "Political turnover and firm innovation in China: The moderating role of innovation and entrepreneurship environment," Journal of Asian Economics, Elsevier, vol. 88(C).
    38. 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.
    39. 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.
    40. Mark L. Hoekstra & Daniel Berkowitz, 2010. "Does High School Quality Matter? Evidence from Admissions Data," Working Paper 364, Department of Economics, University of Pittsburgh, revised Jun 2010.
    41. 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.
    42. 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.
    43. 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.
    44. 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.
    45. 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.
    46. 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.
    47. 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.
    48. Miao, Shuchao & Chi, Jing & Liao, Jing & Qian, Long, 2021. "How does religious belief promote farmer entrepreneurship in rural China?," Economic Modelling, Elsevier, vol. 97(C), pages 95-104.

  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.

    Cited by:

    1. Vespignani, Joaquin L. & Ratti, Ronald A., 2013. "Not all international monetary shocks are alike for the Japanese economy," Working Papers 16920, University of Tasmania, Tasmanian School of Business and Economics, revised 05 Aug 2013.
    2. Vespignani, Joaquin L. & Ratti, Ronald A, 2013. "Chinese monetary expansion and the U.S. economy," MPRA Paper 48974, University Library of Munich, Germany.
    3. Zhang, Chen & Fang, Ying & Niu, Linlin, 2022. "Changing anchor of the renminbi: A Bayesian learning approach to the decade-long transition," Economic Modelling, Elsevier, vol. 116(C).
    4. Subramanian Arvind & Kessler Martin, 2013. "The Renminbi Bloc is Here: Asia Down, Rest of the World to Go?1)," Journal of Globalization and Development, De Gruyter, vol. 4(1), pages 49-94, August.
    5. 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.
    6. 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. 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.

  10. 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. 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.
    2. 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.
    3. 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.
    4. 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.

  11. 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. Vespignani, Joaquin L. & Ratti, Ronald A., 2013. "Not all international monetary shocks are alike for the Japanese economy," Working Papers 16920, University of Tasmania, Tasmanian School of Business and Economics, revised 05 Aug 2013.
    2. Vespignani, Joaquin L. & Ratti, Ronald A, 2013. "Chinese monetary expansion and the U.S. economy," MPRA Paper 48974, University Library of Munich, Germany.
    3. 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.
    4. 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.
    5. Fang, Ying & Huang, Shicheng & Niu, Linlin, 2012. "De facto currency baskets of China and East Asian economies: The rising weights," BOFIT Discussion Papers 2/2012, Bank of Finland Institute for Emerging Economies (BOFIT).
    6. 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.
    7. Zuzana Rowland & George Lazaroiu & Ivana Podhorská, 2020. "Use of Neural Networks to Accommodate Seasonal Fluctuations When Equalizing Time Series for the CZK/RMB Exchange Rate," Risks, MDPI, vol. 9(1), pages 1-21, 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. Marek Vochozka & Jakub Horák & Petr Šuleř, 2019. "Equalizing Seasonal Time Series Using Artificial Neural Networks in Predicting the Euro–Yuan Exchange Rate," JRFM, MDPI, vol. 12(2), pages 1-17, April.
    10. Lin, Yong & Wang, Renyu & Gong, Xingyue & Jia, Guozhu, 2022. "Cross-correlation and forecast impact of public attention on USD/CNY exchange rate: Evidence from Baidu Index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).

  12. Chen, Haiqiang & Fang, Ying & Li, Yingxing, 2013. "Estimation and inference for varying-coeffcient models with nonstationary regressors using penalized splines," SFB 649 Discussion Papers 2013-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Poeschel, Friedrich, 2012. "Assortative matching through signals," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62061, Verein für Socialpolitik / German Economic Association.
    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.
    3. Cui, Liyuan & Hong, Yongmiao & Li, Yingxing, 2021. "Solving Euler equations via two-stage nonparametric penalized splines," Journal of Econometrics, Elsevier, vol. 222(2), pages 1024-1056.
    4. Lin, Yingqian & Tu, Yundong, 2024. "Functional coefficient cointegration models with Box–Cox transformation," Economics Letters, Elsevier, vol. 234(C).

  13. 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. Doko Tchatoka, Firmin & Wang, Wenjie, 2021. "Uniform Inference after Pretesting for Exogeneity with Heteroskedastic Data," MPRA Paper 106408, University Library of Munich, Germany.
    2. Byunghoon Kang, 2018. "Higher Order Approximation of IV Estimators with Invalid Instruments," Working Papers 257105320, Lancaster University Management School, Economics Department.
    3. Firmin Doko Tchatoka & Wenjie Wang, 2020. "Uniform Inference after Pretesting for Exogeneity," School of Economics and Public Policy Working Papers 2020-05, University of Adelaide, School of Economics and Public Policy.
    4. Doko Tchatoka, Firmin, 2012. "Specification tests with weak and invalid instruments," Working Papers 15063, University of Tasmania, Tasmanian School of Business and Economics, revised 26 Jun 2012.
    5. Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2020. "On the Informativeness of Descriptive Statistics for Structural Estimates," Econometrica, Econometric Society, vol. 88(6), pages 2231-2258, November.
    6. Seojeong Lee, 2018. "A Consistent Variance Estimator for 2SLS When Instruments Identify Different LATEs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(3), pages 400-410, July.
    7. 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), pages 133-143.
    8. 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.
    9. Kraay, Aart, 2008. "Instrumental variables regressions with honestly uncertain exclusion restrictions," Policy Research Working Paper Series 4632, The World Bank.
    10. 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.
    11. 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.
    12. Lee, Seojeong, 2014. "Asymptotic refinements of a misspecification-robust bootstrap for generalized method of moments estimators," Journal of Econometrics, Elsevier, vol. 178(P3), pages 398-413.
    13. 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.
    14. 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.
    15. Michal Kolesár & Raj Chetty & John N. Friedman & Edward L. Glaeser & Guido W. Imbens, 2011. "Identification and Inference with Many Invalid Instruments," NBER Working Papers 17519, National Bureau of Economic Research, Inc.
    16. Caner, Mehmet & 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 16790, University Library of Munich, Germany.
    17. Jan F. KIVIET & Jerzy NIEMCZYK, 2013. "On the limiting and empirical distributions of IV estimators when some of the instruments are actually endogenous," Economic Growth Centre Working Paper Series 1311, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    18. 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.
    19. Abadie, Alberto & Gu, Jiaying & Shen, Shu, 2024. "Instrumental variable estimation with first-stage heterogeneity," Journal of Econometrics, Elsevier, vol. 240(2).
    20. Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2014. "Measuring the Sensitivity of Parameter Estimates to Estimation Moments," NBER Working Papers 20673, National Bureau of Economic Research, Inc.
    21. 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.
    22. Lavergne, Pascal, 2015. "Assessing the Approximate Validity of Moment Restrictions," TSE Working Papers 15-562, Toulouse School of Economics (TSE), revised May 2020.
    23. 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.
    24. Hugo J. Faria & Hugo M. Montesinos-Yufa, 2017. "Is the Effect of Income on Democracy Heterogeneous?," Working Papers 2017-05, University of Miami, Department of Economics.
    25. David N. DeJong & Daniel Berkowitz, 2008. "Growth in Post-Soviet Russia: A Tale of Two Transitions," Working Paper 369, Department of Economics, University of Pittsburgh, revised Sep 2008.
    26. 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.
    27. Marcellino, Massimiliano & Kapetanios, George & Khalaf, Lynda, 2015. "Factor based identification-robust inference in IV regressions," CEPR Discussion Papers 10390, C.E.P.R. Discussion Papers.

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.
    See citations under working paper version above.
  2. 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.

  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.
    See citations under working paper version above.
  4. 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.
  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.
    See citations under working paper version above.
  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.
    See citations under working paper version above.
  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.

    Cited by:

    1. Raymond Kan & Cesare Robotti, 0. "Comment on: Pseudo-True SDFs in Conditional Asset Pricing Models," Journal of Financial Econometrics, Oxford University Press, vol. 18(4), pages 729-735.
    2. Patrick Gagliardini & Diego Ronchetti, 2020. "Comparing Asset Pricing Models by the Conditional Hansen-Jagannathan Distance," Journal of Financial Econometrics, Oxford University Press, vol. 18(2), pages 333-394.
    3. Bravo, Francesco, 2023. "Local polynomial estimation of nonparametric general estimating equations," Statistics & Probability Letters, Elsevier, vol. 197(C).

  8. 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 (2) 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 and Real Estate Economics (2) 2014-05-09 2014-05-09
  7. NEP-FOR: Forecasting (1) 2014-05-09
  8. NEP-GEO: Economic Geography (1) 2014-05-09
  9. NEP-HIS: Business, Economic and Financial History (1) 2014-05-09
  10. NEP-OPM: Open Economy Macroeconomics (1) 2014-05-09
  11. NEP-ORE: Operations Research (1) 2013-07-28
  12. NEP-SEA: South East Asia (1) 2014-05-09

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