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Stephen Geoffrey Donald

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Stephen G. Donald & Daniel S. Hamermesh, 2006. "What is Discrimination? Gender in the American Economic Association, 1935-2004," American Economic Review, American Economic Association, vol. 96(4), pages 1283-1292, September.

    Mentioned in:

    1. What Is Discrimination? Gender in the American Economic Association, 1935-2004 (AER 2006) in ReplicationWiki ()

Working papers

  1. Stephen G. Donald & Natércia Fortuna & Vladas Pipiras, 2010. "On rank estimation in semidefinite matrices," CEF.UP Working Papers 1002, Universidade do Porto, Faculdade de Economia do Porto.

    Cited by:

    1. Jin, Fei & Lee, Lung-fei, 2013. "Cox-type tests for competing spatial autoregressive models with spatial autoregressive disturbances," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 590-616.

  2. Daniel S. Hamermesh & Stephen Donald, 2007. "The Time and Timing Costs of Market Work," NBER Working Papers 13127, National Bureau of Economic Research, Inc.

    Cited by:

    1. Richard Rogerson & Johanna Wallenius, 2018. "Household Time Use Among Older Couples: Evidence and Implications for Labor Supply," 2018 Meeting Papers 90, Society for Economic Dynamics.
    2. Nicoleta Caragea-Hrehorciuc, 2008. "The work in Romania : an analysis of the macroeconomic perspective," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 42(5-6), pages 117-126.
    3. Blau, David M. & Shvydko, Tetyana, 2007. "Labor Market Rigidities and the Employment Behavior of Older Workers," IZA Discussion Papers 2996, Institute of Labor Economics (IZA).
    4. Stewart, Jay, 2009. "The Timing of Maternal Work and Time with Children," IZA Discussion Papers 4219, Institute of Labor Economics (IZA).
    5. Pagán, Ricardo, 2013. "Time allocation of disabled individuals," Social Science & Medicine, Elsevier, vol. 84(C), pages 80-93.
    6. Catalina Amuedo-Dorantes & Sara de la Rica, 2009. "The timing of work and work-family conflicts in Spain sho has a split work schedule and why?," Working Papers 2009-35, FEDEA.
    7. Donald, Stephen G. & Hamermesh, Daniel S., 2009. "A structural model of the fixed time costs of market work," Economics Letters, Elsevier, vol. 104(3), pages 125-128, September.
    8. Johanna Wallenius & Richard Rogerson, 2012. "Retirement, Home Production and Labor Supply Elasticities," 2012 Meeting Papers 41, Society for Economic Dynamics.
    9. Mark Aguiar & Erik Hurst, 2008. "The Increase in Leisure Inequality," NBER Working Papers 13837, National Bureau of Economic Research, Inc.
    10. Jorge Gonzalez-Chapela, 2005. "On Measuring Convergence in the Use of Time," MEA discussion paper series 05096, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.

  3. Zabel, Jeffrey & Schwartz, Saul & Donald, Stephen, 2006. "An Econometric Analysis of the Impact of the Self-Sufficiency Project on the Employment Behaviour of Former Welfare Recipients," IZA Discussion Papers 2122, Institute of Labor Economics (IZA).

    Cited by:

    1. Nezih Guner & John Knowles, 2009. "Why is the rate of single‐parenthood lower in Canada than in the U.S.? A dynamic equilibrium analysis of welfare policies," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 42(1), pages 56-89, February.

  4. Stephen G. Donald & Natércia Fortuna & Vladas Pipiras, 2005. "On rank estimation in symmetric matrices: the case of indefinite matrix estimators," FEP Working Papers 167, Universidade do Porto, Faculdade de Economia do Porto.

    Cited by:

    1. Elena Andreou & Patrick Gagliardini & Eric Ghysels & Mirco Rubin, 2016. "Is Industrial Production Still the Dominant Factor for the US Economy?," Swiss Finance Institute Research Paper Series 16-11, Swiss Finance Institute.
    2. Düker, Marie-Christine & Pipiras, Vladas & Sundararajan, Raanju, 2022. "Cotrending: Testing for common deterministic trends in varying means model," Journal of Multivariate Analysis, Elsevier, vol. 187(C).
    3. Majid M. Al-Sadoon, 2015. "A General Theory of Rank Testing," Working Papers 750, Barcelona School of Economics.
    4. Seung C. Ahn & Stephan Dieckmann & M. Fabricio Perez, 2018. "Is there a missing factor? A canonical correlation approach to factor models," Review of Financial Economics, John Wiley & Sons, vol. 36(4), pages 321-347, October.
    5. Guggenberger, Patrik & Kleibergen, Frank & Mavroeidis, Sophocles, 2023. "A test for Kronecker Product Structure covariance matrix," Journal of Econometrics, Elsevier, vol. 233(1), pages 88-112.
    6. Ahn, Seung C. & Perez, M. Fabricio, 2010. "GMM estimation of the number of latent factors: With application to international stock markets," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 783-802, September.
    7. Díaz Antonia & Puch Luis A., 2019. "Investment, technological progress and energy efficiency," The B.E. Journal of Macroeconomics, De Gruyter, vol. 19(2), pages 1-28, June.
    8. Al-Sadoon, Majid M., 2017. "A unifying theory of tests of rank," Journal of Econometrics, Elsevier, vol. 199(1), pages 49-62.
    9. Martins Luis Filipe & Gabriel Vasco J., 2013. "Time-varying cointegration, identification, and cointegration spaces," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(2), pages 199-209, April.
    10. Jin, Fei & Lee, Lung-fei, 2013. "Cox-type tests for competing spatial autoregressive models with spatial autoregressive disturbances," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 590-616.
    11. Atsushi Inoue & Barbara Rossi, 2015. "Tests for the validity of portfolio or group choice in financial and panel regressions," Economics Working Papers 1523, Department of Economics and Business, Universitat Pompeu Fabra.

  5. Stephen G. Donald & Natércia Fortuna & Vladas Pipiras, 2005. "Local and global rank tests for multivariate varying-coefficient models," FEP Working Papers 196, Universidade do Porto, Faculdade de Economia do Porto.

    Cited by:

    1. Natercia Fortuna, 2004. "Local rank tests in a multivariate nonparametric relationship," Econometric Society 2004 North American Summer Meetings 446, Econometric Society.

  6. Daniel S. Hamermesh & Stephen G. Donald, 2004. "The Effect of College Curriculum on Earnings: Accounting for Non-Ignorable Non-Response Bias," NBER Working Papers 10809, National Bureau of Economic Research, Inc.

    Cited by:

    1. Usamah Fayez Al-Farhan, 2010. "Changes in the Gender Wage Gap in Germany during a Period of Rising Wage Inequality 1999-2006: Was it Discrimination in the Returns to Human Capital?," SOEPpapers on Multidisciplinary Panel Data Research 293, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Cornwell, Christopher & Lee, Kyung Hee & Mustard, David B., 2006. "The Effects of State-Sponsored Merit Scholarships on Course Selection and Major Choice in College," IZA Discussion Papers 1953, Institute of Labor Economics (IZA).
    3. Daniel S. Hamermesh, 2005. "The Value of Peripatetic Economists: A Sesqui-Difference Evaluation of Bob Gregory," NBER Working Papers 11453, National Bureau of Economic Research, Inc.
    4. Eric Bettinger, 2010. "To Be or Not to Be: Major Choices in Budding Scientists," NBER Chapters, in: American Universities in a Global Market, pages 69-98, National Bureau of Economic Research, Inc.
    5. Johansson, Fredrik, 2007. "How to Adjust for Nonignorable Nonresponse: Calibration, Heckit or FIML?," Working Paper Series 2007:22, Uppsala University, Department of Economics.

  7. Stephen Donald & Daniel S. Hamermesh, 2004. "What is Discrimination? Gender in the American Economic Association," NBER Working Papers 10684, National Bureau of Economic Research, Inc.

    Cited by:

    1. David Card & Stefano DellaVigna & Patricia Funk & Nagore Iriberri, 2022. "Gender Differences in Peer Recognition by Economists," Econometrica, Econometric Society, vol. 90(5), pages 1937-1971, September.
    2. Daniel S. Hamermesh, 2018. "Citations in Economics: Measurement, Uses, and Impacts," Journal of Economic Literature, American Economic Association, vol. 56(1), pages 115-156, March.
    3. David Card & Stefano DellaVigna & Patricia Funk & Nagore Iriberri, 2019. "Are Referees and Editors in Economics Gender Neutral?," NBER Working Papers 25967, National Bureau of Economic Research, Inc.
    4. Lucia Foster & Erika McEntarfer & Danielle H. Sandler, 2022. "Diversity and Labor Market Outcomes in the Economics Profession," Working Papers 22-26, Center for Economic Studies, U.S. Census Bureau.
    5. Bransch, Felix & Kvasnicka, Michael, 2017. "Male Gatekeepers Gender Bias in the Publishing Process?," IZA Discussion Papers 11089, Institute of Labor Economics (IZA).
    6. Parsons, Christopher A. & Sulaeman, Johan & Yates, Michael C. & Hamermesh, Daniel S., 2008. "Strike Three: Umpires' Demand for Discrimination," IZA Discussion Papers 3899, Institute of Labor Economics (IZA).
    7. Pema, Elda & Mehay, Stephen, 2010. "The role of job assignment and human capital endowments in explaining gender differences in job performance and promotion," Labour Economics, Elsevier, vol. 17(6), pages 998-1009, December.
    8. Jan Feld & Nicolás Salamanca & Daniel S. Hamermesh, 2013. "Endophilia or Exophobia: Beyond Discrimination," NBER Working Papers 19471, National Bureau of Economic Research, Inc.
    9. Pierre-Philippe Combes & Laurent Linnemer & Michael Visser, 2006. "Publish or peer-rich ? The role of skills and networks in hiring economics professors," Research Unit Working Papers 0604, Laboratoire d'Economie Appliquee, INRA.
    10. Jason Abrevaya & Daniel S. Hamermesh, 2010. "Charity and Favoritism in the Field: Are Female Economists Nicer (to Each Other)?," NBER Working Papers 15972, National Bureau of Economic Research, Inc.
    11. Morley Gunderson, 2006. "Viewpoint: Male‐female wage differentials: how can that be?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 39(1), pages 1-21, February.

  8. Stephen G. Donald & Garry F. Barrett, 2004. "Consistent Nonparametric Tests for Lorenz Dominance," Econometric Society 2004 Australasian Meetings 321, Econometric Society.

    Cited by:

    1. Nianqing Liu & Yao Luo, 2017. "A Nonparametric Test For Comparing Valuation Distributions In First‐Price Auctions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(3), pages 857-888, August.
    2. Yang Wei & Zhouping Li & Yunqiu Dai, 2022. "Unified smoothed jackknife empirical likelihood tests for comparing income inequality indices," Statistical Papers, Springer, vol. 63(5), pages 1415-1475, October.
    3. Luca Crivelli & Paola Salari, 2012. "Fiscal federalism and income redistribution through healthcare financing: An empirical analysis for the Swiss cantons," CEPRA working paper 1204, USI Università della Svizzera italiana.
    4. Sotomayor, Orlando J., 2009. "Changes in the Distribution of Household Income in Brazil: The Role of Male and Female Earnings," World Development, Elsevier, vol. 37(10), pages 1706-1715, October.
    5. David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2017. "Bayesian Assessment of Lorenz and Stochastic Dominance," Department of Economics - Working Papers Series 2029, The University of Melbourne.
    6. Hongyi Jiang & Zhenting Sun & Shiyun Hu, 2023. "A Nonparametric Test of $m$th-degree Inverse Stochastic Dominance," Papers 2306.12271, arXiv.org, revised Jul 2023.
    7. Donald W.K. Andrews & Xiaoxia Shi, 2015. "Inference Based on Many Conditional Moment Inequalities," Cowles Foundation Discussion Papers 2010, Cowles Foundation for Research in Economics, Yale University.
    8. Susan Thorp & Hardy Hulley & Rebecca McKibbin & Andreas Pedersen, 2009. "Means-Tested Income Support, Portfolio Choice and Decumulation in Retirement," Research Paper Series 248, Quantitative Finance Research Centre, University of Technology, Sydney.
    9. Mussa, Richard, 2017. "To Err is Human: Inconsistencies in Food Conversion Factors and Inequality in Malawi," MPRA Paper 75981, University Library of Munich, Germany.
    10. Amparo Ba'illo & Javier C'arcamo & Carlos Mora-Corral, 2021. "Extremal points of Lorenz curves and applications to inequality analysis," Papers 2103.03286, arXiv.org.
    11. Franck A. Cowell & Emmanuel Flachaire, 2015. "Statistical Methods for Distributional Analysis," AMSE Working Papers 1507, Aix-Marseille School of Economics, France.
    12. Ramses Abul Naga & Christopher Stapenhurst & Gaston Yalonetzky, 2020. "Asymptotic Versus Bootstrap Inference for Inequality Indices of the Cumulative Distribution Function," Econometrics, MDPI, vol. 8(1), pages 1-15, February.
    13. Stephen G. Donald & Yu‐Chin Hsu & Garry F. Barrett, 2012. "Incorporating covariates in the measurement of welfare and inequality: methods and applications," Econometrics Journal, Royal Economic Society, vol. 15(1), pages 1-30, February.
    14. Mohamed Khaled & Paul Makdissi & Myra Yazbeck, 2016. "Income-Related Health Transfers Principles and Orderings of Joint Distributions of Income and Health," Working Papers 160009, Canadian Centre for Health Economics.
    15. Christopher J. Bennett, 2013. "Inference For Dominance Relations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(4), pages 1309-1328, November.
    16. David Lander & David Gunawan & William E. Griffiths & Duangkamon Chotikapanich, 2016. "Bayesian Assessment of Lorenz and Stochastic Dominance Using a Mixture of Gamma Densities," Department of Economics - Working Papers Series 2023, The University of Melbourne.
    17. Firmin Doko Tchatoka & Robert Garrard & Virginie Masson, 2017. "Testing for Stochastic Dominance in Social Networks," School of Economics and Public Policy Working Papers 2017-02, University of Adelaide, School of Economics and Public Policy.
    18. Amy Beech & Rosetta Dollman & Richard Finlay & Gianni La Cava, 2014. "The Distribution of Household Spending in Australia," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 13-22, March.
    19. Dhongde, Shatakshee, 2017. "Measuring Segregation of the Poor: Evidence from India," World Development, Elsevier, vol. 89(C), pages 111-123.
    20. Garry F. Barrett & Stephen G. Donald & Yu-Chin Hsu, 2015. "Consistent Tests for Poverty Dominance Relations," IEAS Working Paper : academic research 15-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    21. Pier Luigi Conti & Alberto Iorio & Alessio Guandalini & Daniela Marella & Paola Vicard & Vincenzina Vitale, 2020. "On the estimation of the Lorenz curve under complex sampling designs," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(1), pages 1-24, March.
    22. Duangkamon Chotikapanich & William E. Griffiths, 2006. "Bayesian Assessment of Lorenz and Stochastic Dominance in Income Distributions," Department of Economics - Working Papers Series 960, The University of Melbourne.
    23. Xiaojun Song & Zhenting Sun, 2023. "Almost Dominance: Inference and Application," Papers 2312.02288, arXiv.org.
    24. Nianqing Liu & Yao Luo, 2014. "A Nonparametric Test of Exogenous Participation in First-Price Auctions," Working Papers tecipa-519, University of Toronto, Department of Economics.
    25. Francesco Andreoli, 2018. "Robust Inference for Inverse Stochastic Dominance," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 146-159, January.
    26. Belzunce, Félix & Martínez-Riquelme, Carolina, 2023. "A new stochastic dominance criterion for dependent random variables with applications," Insurance: Mathematics and Economics, Elsevier, vol. 108(C), pages 165-176.

  9. Donald, Stephen G. & Whitney Newey, 1999. "Choosing the Number of Instruments," Working papers 99-05, Massachusetts Institute of Technology (MIT), Department of Economics.

    Cited by:

    1. Alastair Cunningham & Jana Eklund & Christopher Jeffery & George Kapetanios & Vincent Labhard, 2007. "A state space approach to extracting the signal from uncertain data," Bank of England working papers 336, Bank of England.
    2. Meng, Ginger & Hu, Gang & Bai, Jushan, 2007. "Olive: a simple method for estimating betas when factors are measured with error," MPRA Paper 33183, University Library of Munich, Germany.
    3. Binder, M. & Hsaio, C. & Pesaran, M.H., 2000. "Estimation and Inference in Short Panel Vector Autoregressions with Unit Roots and Cointegration," Cambridge Working Papers in Economics 0003, Faculty of Economics, University of Cambridge.
    4. Dennis Lim & Wenjie Wang & Yichong Zhang, 2022. "A Conditional Linear Combination Test with Many Weak Instruments," Papers 2207.11137, arXiv.org, revised Apr 2023.
    5. Robert S. Chirinko & Daniel J. Wilson, 2011. "Tax Competition Among U.S. States: Racing to the Bottom or Riding on a Seesaw?," CESifo Working Paper Series 3535, CESifo.
    6. Liu, Xiaodong & Lee, Lung-fei, 2010. "GMM estimation of social interaction models with centrality," Journal of Econometrics, Elsevier, vol. 159(1), pages 99-115, November.
    7. Hausman, Jerry & Stock, James H. & Yogo, Motohiro, 2005. "Asymptotic properties of the Hahn-Hausman test for weak-instruments," Economics Letters, Elsevier, vol. 89(3), pages 333-342, December.
    8. Frölich, Markus & Lechner, Michael, 2004. "Regional Treatment Intensity as an Instrument for the Evaluation of Labour Market Policies," IZA Discussion Papers 1095, Institute of Labor Economics (IZA).
    9. Joshua D. Angrist & Peter Hull & Parag Pathak & Christopher Walters, 2020. "Simple and Credible Value-Added Estimation Using Centralized School Assignment," Working Papers 2020-186, Becker Friedman Institute for Research In Economics.
    10. Fan, Qingliang & Zhong, Wei, 2018. "Nonparametric Additive Instrumental Variable Estimator: A Group Shrinkage Estimation Perspective," IRTG 1792 Discussion Papers 2018-052, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    11. Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2015.
    12. Siddhartha Chib & Minchul Shin & Anna Simoni, 2021. "Bayesian Estimation and Comparison of Conditional Moment Models," Papers 2110.13531, arXiv.org.
    13. de Brauw, Alan & Giles, John, 2008. "Migrant Labor Markets and the Welfare of Rural Households in the Developing World: Evidence from China," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6085, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Karen Macours & Renos Vakis, 2008. "Seasonal Migration and Early Childhood Development," WIDER Working Paper Series RP2008-48, World Institute for Development Economic Research (UNU-WIDER).
    15. John Chao & Norman Swanson, 2004. "Consistent Estimation with a Large Number of Weak Instruments," Departmental Working Papers 200421, Rutgers University, Department of Economics.
    16. Rodrigo Alfaro, 2008. "Higher Order Properties of the Symmetricallr Normalized Instrumental Variable Estimator," Working Papers Central Bank of Chile 500, Central Bank of Chile.
    17. Frölich, Markus & Lechner, Michael, 2006. "Exploiting Regional Treatment Intensity for the Evaluation of Labour Market Policies," IZA Discussion Papers 2144, Institute of Labor Economics (IZA).
    18. Xiaodong Liu, 2020. "GMM identification and estimation of peer effects in a system of simultaneous equations," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-27, December.
    19. Robert Gibbons & Lawrence F. Katz & Thomas Lemieux & Daniel Parent, 2005. "Comparative Advantage, Learning, and Sectoral Wage Determination," Journal of Labor Economics, University of Chicago Press, vol. 23(4), pages 681-724, October.
    20. Chang, Jinyuan & Guo, Bin & Yao, Qiwei, 2015. "High dimensional stochastic regression with latent factors, endogeneity and nonlinearity," LSE Research Online Documents on Economics 61886, London School of Economics and Political Science, LSE Library.
    21. Eric Gautier & Christiern Rose, 2022. "Fast, Robust Inference for Linear Instrumental Variables Models using Self-Normalized Moments," Papers 2211.02249, arXiv.org, revised Nov 2022.
    22. Roger Klein & Francis Vella, 2009. "A semiparametric model for binary response and continuous outcomes under index heteroscedasticity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 735-762.
    23. 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.
    24. Carrasco, Marine & Tchuente, Guy, 2015. "Regularized LIML for many instruments," Journal of Econometrics, Elsevier, vol. 186(2), pages 427-442.
    25. Badri Narayanan G, 2005. "Effects of trade liberalisation, environmental and labour regulations on employment in India's organised textile sector," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2005-005, Indira Gandhi Institute of Development Research, Mumbai, India.
    26. Anderson, T.W. & Kunitomo, Naoto & Matsushita, Yukitoshi, 2010. "On the asymptotic optimality of the LIML estimator with possibly many instruments," Journal of Econometrics, Elsevier, vol. 157(2), pages 191-204, August.
    27. Zenou, Yves & Patacchini, Eleonora & Rainone, Edoardo, 2014. "Heterogeneous Peer Effects in Education," CEPR Discussion Papers 9804, C.E.P.R. Discussion Papers.
    28. Mari Rege & Kjetil Telle & Mark Votruba, 2007. "Social Interaction Effects in Disability Pension Participation. Evidence from Plant Downsizing," Discussion Papers 496, Statistics Norway, Research Department.
    29. Chaohua Dong & Jiti Gao & Oliver Linton, 2018. "High dimensional semiparametric moment restriction models," CeMMAP working papers CWP04/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    30. Arcand, Jean-Louis & Ai, Chunrong & Ethier, Francois, 2007. "Moral hazard and Marshallian inefficiency: Evidence from Tunisia," Journal of Development Economics, Elsevier, vol. 83(2), pages 411-445, July.
    31. Donald W.K. Andrews & James H. Stock, 2005. "Inference with Weak Instruments," NBER Technical Working Papers 0313, National Bureau of Economic Research, Inc.
    32. Hansen, Christian & Kozbur, Damian, 2014. "Instrumental variables estimation with many weak instruments using regularized JIVE," Journal of Econometrics, Elsevier, vol. 182(2), pages 290-308.
    33. Stanislav Anatolyev, 2005. "Optimal Instruments in Time Series: A Survey," Working Papers w0069, Center for Economic and Financial Research (CEFIR).
    34. A. Belloni & D. Chen & V. Chernozhukov & C. Hansen, 2012. "Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain," Econometrica, Econometric Society, vol. 80(6), pages 2369-2429, November.
    35. Fei Jin & Lung-fei Lee, 2013. "Generalized Spatial Two Stage Least Squares Estimation of Spatial Autoregressive Models with Autoregressive Disturbances in the Presence of Endogenous Regressors and Many Instruments," Econometrics, MDPI, vol. 1(1), pages 1-44, May.
    36. Chirok Han & Peter C. B. Phillips, 2006. "GMM with Many Moment Conditions," Econometrica, Econometric Society, vol. 74(1), pages 147-192, January.
    37. Aiwei Huang & Madhurima Chandra & Laura Malkhasyan, 2021. "Weak Instrumental Variables: Limitations of Traditional 2SLS and Exploring Alternative Instrumental Variable Estimators," Papers 2104.12370, arXiv.org.
    38. Sam, Abdoul G. & Ker, Alan P., 2004. "Nonparametric Regression Under Alternative Data Environments," 2004 Annual meeting, August 1-4, Denver, CO 20417, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    39. Robert S. Chirinko & Daniel J. Wilson, 2010. "Can Lower Tax Rates be Bought? Business Rent-Seeking and Tax Competition among U.S. States," CESifo Working Paper Series 3121, CESifo.
    40. Tymon S{l}oczy'nski, 2020. "When Should We (Not) Interpret Linear IV Estimands as LATE?," Papers 2011.06695, arXiv.org, revised Sep 2022.
    41. Zhenhong Huang & Chen Wang & Jianfeng Yao, 2023. "A specification test for the strength of instrumental variables," Papers 2302.14396, arXiv.org.
    42. Malikane, Christopher, 2013. "A New Keynesian Triangle Phillips Curve," MPRA Paper 43548, University Library of Munich, Germany.
    43. John C. Chao & Norman R. Swanson, 2003. "Asymptotic Normality of Single-Equation Estimators for the Case with a Large Number of Weak Instruments," Departmental Working Papers 200312, Rutgers University, Department of Economics.
    44. Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2018. "A Unified Framework for Efficient Estimation of General Treatment Models," Papers 1808.04936, arXiv.org, revised Aug 2018.
    45. de Brauw, Alan & Giles, John T., 2006. "Migrant Opportunity and the Educational Attainment of Youth in Rural China," IZA Discussion Papers 2326, Institute of Labor Economics (IZA).
    46. Meijer, Erik & Spierdijk, Laura & Wansbeek, Tom, 2017. "Consistent estimation of linear panel data models with measurement error," Journal of Econometrics, Elsevier, vol. 200(2), pages 169-180.
    47. Shane M. Sherlund, 2004. "Quasi Empirical Likelihood Estimation of Moment Condition Models," Econometric Society 2004 North American Summer Meetings 507, Econometric Society.
    48. Michal Kolesár, 2013. "Estimation in an Instrumental Variables Model With Treatment Effect Heterogeneity," Working Papers 2013-2, Princeton University. Economics Department..
    49. Qingliang Fan & Yaqian Wu, 2020. "Endogenous Treatment Effect Estimation with some Invalid and Irrelevant Instruments," Papers 2006.14998, arXiv.org.
    50. Yong Bao & Aman Ullah, 2021. "Analytical Finite Sample Econometrics: From A. L. Nagar to Now," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 17-37, December.
    51. Seojeong Lee & Youngki Shin, 2021. "Complete subset averaging with many instruments," The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 290-314.
    52. Alastair R. Hall, 2015. "Econometricians Have Their Moments: GMM at 32," The Economic Record, The Economic Society of Australia, vol. 91(S1), pages 1-24, June.
    53. Kolesár, Michal, 2018. "Minimum distance approach to inference with many instruments," Journal of Econometrics, Elsevier, vol. 204(1), pages 86-100.
    54. Lee, Ji Hyung & Shin, Youngki, 2023. "Complete Subset Averaging For Quantile Regressions," Econometric Theory, Cambridge University Press, vol. 39(1), pages 146-188, February.
    55. Cornelissen, Thomas & Hübler, Olaf, 2007. "Unobserved Individual and Firm Heterogeneity in Wage and Tenure Functions: Evidence from German Linked Employer-Employee Data," IZA Discussion Papers 2741, Institute of Labor Economics (IZA).
    56. Marine Carrasco & Rachidi Kotchoni, 2013. "Efficient estimation using the Characteristic Function," CIRANO Working Papers 2013s-22, CIRANO.
    57. Dong, Chaohua & Gao, Jiti & Linton, Oliver, 2023. "High dimensional semiparametric moment restriction models," Journal of Econometrics, Elsevier, vol. 232(2), pages 320-345.
    58. John Chao & Norman R. Swanson, 2003. "Alternative Approximations of the Bias and MSE of the IV Estimator under Weak Identification with an Application to Bias Correction," Cowles Foundation Discussion Papers 1418, Cowles Foundation for Research in Economics, Yale University.
    59. Mittelhammer, Ron C. & Judge, George G., 2005. "Combining estimators to improve structural model estimation and inference under quadratic loss," Journal of Econometrics, Elsevier, vol. 128(1), pages 1-29, September.
    60. G. A. Christodoulakis & E. C. Mamatzakis, 2009. "Assessing the prudence of economic forecasts in the EU," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 583-606.
    61. Caner, Mehmet & Fan, Qingliang, 2015. "Hybrid generalized empirical likelihood estimators: Instrument selection with adaptive lasso," Journal of Econometrics, Elsevier, vol. 187(1), pages 256-274.
    62. Christian Hansen & Jerry Hausman & Whitney K. Newey, 2006. "Estimation with many instrumental variables," CeMMAP working papers CWP19/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    63. Carrasco, Marine, 2012. "A regularization approach to the many instruments problem," Journal of Econometrics, Elsevier, vol. 170(2), pages 383-398.
    64. Richard Ashley & Christopher Parmeter, 2015. "Sensitivity analysis for inference in 2SLS/GMM estimation with possibly flawed instruments," Empirical Economics, Springer, vol. 49(4), pages 1153-1171, December.
    65. Xuexin WANG, 2021. "Instrumental variable estimation via a continuum of instruments with an application to estimating the elasticity of intertemporal substitution in consumption," Working Papers 2021-11-06, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    66. Carrasco, Marine & Chernov, Mikhail & Florens, Jean-Pierre & Ghysels, Eric, 2007. "Efficient estimation of general dynamic models with a continuum of moment conditions," Journal of Econometrics, Elsevier, vol. 140(2), pages 529-573, October.
    67. Kapetanios, George, 2006. "Choosing the optimal set of instruments from large instrument sets," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 612-620, November.
    68. Wenjie Wang & Qingfeng Liu, 2015. "Bootstrap-based Selection for Instrumental Variables Model," Economics Bulletin, AccessEcon, vol. 35(3), pages 1886-1896.
    69. 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.
    70. Rodrigo Alfaro, 2008. "Estimation of a Dynamic Panel Data: The Case Of Corporate Investment in Chile," Working Papers Central Bank of Chile 467, Central Bank of Chile.
    71. Luca Margaritella & Joakim Westerlund, 2023. "Using information criteria to select averages in CCE," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 405-421.
    72. Pierre Chausse, 2017. "Regularized Empirical Likelihood as a Solution to the No Moment," Working Papers 1708, University of Waterloo, Department of Economics, revised Nov 2017.
    73. Daniel A. Ackerberg & Paul J. Devereux, 2008. "Improved Jive Estimators for Overidentified Linear Models with and without Heteroskedasticity," Working Papers 200817, School of Economics, University College Dublin.
    74. Prosper Dovonon & Firmin Doko Tchatoka & Michael Aguessy, 2019. "Relevant moment selection under mixed identification strength," School of Economics and Public Policy Working Papers 2019-04, University of Adelaide, School of Economics and Public Policy.
    75. Forchini, Giovanni, 2009. "The asymptotic distribution of Nagar's bias-adjusted TSLS estimator under partial identification," Economics Letters, Elsevier, vol. 105(1), pages 49-52, October.
    76. Lee, Nayoung & Moon, Hyungsik Roger & Weidner, Martin, 2012. "Analysis of interactive fixed effects dynamic linear panel regression with measurement error," Economics Letters, Elsevier, vol. 117(1), pages 239-242.
    77. Jan F. Kiviet, 2013. "Identification and inference in a simultaneous equation under alternative information sets and sampling schemes," Econometrics Journal, Royal Economic Society, vol. 16(1), pages 24-59, February.
    78. Doran, Howard E. & Schmidt, Peter, 2006. "GMM estimators with improved finite sample properties using principal components of the weighting matrix, with an application to the dynamic panel data model," Journal of Econometrics, Elsevier, vol. 133(1), pages 387-409, July.
    79. Byunghoon Kang, 2018. "Higher Order Approximation of IV Estimators with Invalid Instruments," Working Papers 257105320, Lancaster University Management School, Economics Department.
    80. Jean‐Marie Dufour, 2003. "Identification, weak instruments, and statistical inference in econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(4), pages 767-808, November.
    81. Qingliang Fan & Zijian Guo & Ziwei Mei, 2022. "A Heteroskedasticity-Robust Overidentifying Restriction Test with High-Dimensional Covariates," Papers 2205.00171, arXiv.org, revised Mar 2023.
    82. Wang, Wenjie & Kaffo, Maximilien, 2016. "Bootstrap inference for instrumental variable models with many weak instruments," Journal of Econometrics, Elsevier, vol. 192(1), pages 231-268.
    83. Stanislav Anatolyev, 2012. "Instrumental variables estimation and inference in the presence of many exogenous regressors," Working Papers w0162, Center for Economic and Financial Research (CEFIR).
    84. Okui, Ryo, 2011. "Instrumental variable estimation in the presence of many moment conditions," Journal of Econometrics, Elsevier, vol. 165(1), pages 70-86.
    85. Chen, Xiaohong, 2007. "Large Sample Sieve Estimation of Semi-Nonparametric Models," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 76, Elsevier.
    86. Kuersteiner, Guido M., 2012. "Kernel-weighted GMM estimators for linear time series models," Journal of Econometrics, Elsevier, vol. 170(2), pages 399-421.
    87. Kapetanios, George & Marcellino, Massimiliano, 2010. "Cross-sectional averaging and instrumental variable estimation with many weak instruments," Economics Letters, Elsevier, vol. 108(1), pages 36-39, July.
    88. Bellmann, Lutz & Gerner, Hans-Dieter & Hübler, Olaf, 2013. "Investment under Company-Level Pacts," IZA Discussion Papers 7195, Institute of Labor Economics (IZA).
    89. Yoonseok Lee & Yu Zhou, 2015. "Averaged Instrumental Variables Estimators," Center for Policy Research Working Papers 180, Center for Policy Research, Maxwell School, Syracuse University.
    90. Denis Heng-Yan Leung & Dylan S. Small & Jing Qin & Min Zhu, 2013. "Shrinkage Empirical Likelihood Estimator in Longitudinal Analysis with Time-Dependent Covariates—Application to Modeling the Health of Filipino Children," Biometrics, The International Biometric Society, vol. 69(3), pages 624-632, September.
    91. 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.
    92. Cassidy, Traviss, 2015. "The Long-Run Effects of Oil Wealth on Development: Evidence from Petroleum Geology," MPRA Paper 97778, University Library of Munich, Germany, revised 01 Aug 2018.
    93. Eryuruk, Gunce & Hall, Alastair R. & Jana, Kalidas, 2009. "A comparative study of three data-based methods of instrument selection," Economics Letters, Elsevier, vol. 105(3), pages 280-283, December.
    94. Bekker, Paul A. & Lawford, Steve, 2008. "Symmetry-based inference in an instrumental variable setting," Journal of Econometrics, Elsevier, vol. 142(1), pages 28-49, January.
    95. Thomas Wiemann, 2023. "Optimal Categorical Instrumental Variables," Papers 2311.17021, arXiv.org.
    96. Pierre Chaussé, 2011. "Generalized empirical likelihood for a continuum of moment conditions," Working Papers 1104, University of Waterloo, Department of Economics, revised Oct 2011.
    97. Tomohiro Ando & Naoya Sueishi, 2019. "On the Convergence Rate of the SCAD-Penalized Empirical Likelihood Estimator," Econometrics, MDPI, vol. 7(1), pages 1-14, March.
    98. Clemens Possnig & Andreea Rotu{a}rescu & Kyungchul Song, 2022. "Estimating Dynamic Spillover Effects along Multiple Networks in a Linear Panel Model," Papers 2211.08995, arXiv.org.
    99. Shakil, Golam Saroare & Marsh, Thomas L., 2021. "One Instrument to Rule Them All?," 2021 Annual Meeting, August 1-3, Austin, Texas 314047, Agricultural and Applied Economics Association.
    100. 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.
    101. Firpo, Sergio & Galvao, Antonio F. & Pinto, Cristine & Poirier, Alexandre & Sanroman, Graciela, 2022. "GMM quantile regression," Journal of Econometrics, Elsevier, vol. 230(2), pages 432-452.
    102. Guy Tchuente, 2016. "Estimation of social interaction models using regularization," Studies in Economics 1607, School of Economics, University of Kent.
    103. Dufour, Jean-Marie & Taamouti, Mohamed, 2007. "Further results on projection-based inference in IV regressions with weak, collinear or missing instruments," Journal of Econometrics, Elsevier, vol. 139(1), pages 133-153, July.
    104. Wang, Wenjie & Doko Tchatoka, Firmin, 2018. "On Bootstrap inconsistency and Bonferroni-based size-correction for the subset Anderson–Rubin test under conditional homoskedasticity," Journal of Econometrics, Elsevier, vol. 207(1), pages 188-211.
    105. Anil Kumar & Che-Yuan Liang, 2016. "Estimating Taxable Income Responses with Elasticity Heterogeneity," Working Papers 1611, Federal Reserve Bank of Dallas.
    106. Donald, Stephen G. & Imbens, Guido W. & Newey, Whitney K., 2003. "Empirical likelihood estimation and consistent tests with conditional moment restrictions," Journal of Econometrics, Elsevier, vol. 117(1), pages 55-93, November.
    107. Jinyong Hahn & Jerry Hausman & Guido Kuersteiner, 2005. "Bias Corrected Instrumental Variables Estimation for Dynamic Panel Models with Fixed E¤ects," Boston University - Department of Economics - Working Papers Series WP2005-024, Boston University - Department of Economics.
    108. Faust, Jon & Wright, Jonathan H., 2008. "Efficient forecast tests for conditional policy forecasts," Journal of Econometrics, Elsevier, vol. 146(2), pages 293-303, October.
    109. Donald, Stephen G. & Imbens, Guido W. & Newey, Whitney K., 2009. "Choosing instrumental variables in conditional moment restriction models," Journal of Econometrics, Elsevier, vol. 152(1), pages 28-36, September.
    110. Chirok Han & Hyoungjong Kim, 2023. "Dynamic panel GMM estimators with improved finite sample properties using parametric restrictions for dimension reduction," Empirical Economics, Springer, vol. 64(6), pages 2589-2610, June.
    111. Kasey Buckles & Daniel M. Hungerman, 2008. "Season of Birth and Later Outcomes: Old Questions, New Answers," NBER Working Papers 14573, National Bureau of Economic Research, Inc.
    112. Norman R. Swanson & John C. Chao, 2004. "Estimation and Testing Using Jackknife IV in Heteroskedastic Regressions with Many Weak Instruments," Econometric Society 2004 Far Eastern Meetings 668, Econometric Society.
    113. Hahn, Jinyong & Hausman, Jerry & Kuersteiner, Guido, 2007. "Long difference instrumental variables estimation for dynamic panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 574-617, October.
    114. Jean-Louis Arcand & Béatrice d'Hombres & Paul Gyselinck, 2005. "Instrument Choice and the Returns to Education: New Evidence from Vietnam," Labor and Demography 0510011, University Library of Munich, Germany.
    115. Doko Tchatoka, Firmin Sabro & Dufour, Jean-Marie, 2008. "Instrument endogeneity and identification-robust tests: some analytical results," MPRA Paper 29613, University Library of Munich, Germany.
    116. Nam-Hyun Kim & Winfried Pohlmeier, 2015. "A Regularization Approach to Biased Two-Stage Least Squares Estimation," Working Paper series 15-22, Rimini Centre for Economic Analysis.
    117. Braun, Martin & Verdier, Valentin, 2023. "Estimation of spillover effects with matched data or longitudinal network data," Journal of Econometrics, Elsevier, vol. 233(2), pages 689-714.
    118. DUFOUR, Jean-Marie & TAAMOUTI, Mohamed, 2003. "Projection-Based Statistical Inference in Linear Structural Models with Possibly Weak Instruments," Cahiers de recherche 08-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    119. Yoonseok Lee & Ryo Okui, 2009. "A Specification Test for Instrumental Variables Regression with Many Instruments," Cowles Foundation Discussion Papers 1741, Cowles Foundation for Research in Economics, Yale University.
    120. Lee, Lung-fei & Yu, Jihai, 2014. "Efficient GMM estimation of spatial dynamic panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 180(2), pages 174-197.
    121. Mills, Benjamin & Moreira, Marcelo J. & Vilela, Lucas P., 2014. "Tests based on t-statistics for IV regression with weak instruments," Journal of Econometrics, Elsevier, vol. 182(2), pages 351-363.
    122. Xiaohong Chen & David Jacho-Chávez & Oliver Linton, 2012. "Averaging of moment condition estimators," CeMMAP working papers CWP26/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    123. Guy Tchuente, 2019. "Weak Identification and Estimation of Social Interaction Models," Papers 1902.06143, arXiv.org.
    124. Moral, Ignacio & Rodriguez-Poo, Juan M., 2004. "An efficient marginal integration estimator of a semiparametric additive modelling," Statistics & Probability Letters, Elsevier, vol. 69(4), pages 451-463, October.
    125. Paul J Devereux, 2006. "Improved Errors-in-Variables Estimators for Grouped Data," Working Papers 200602, School of Economics, University College Dublin.
    126. John C. Chao & Jerry A. Hausman & Whitney K. Newey & Norman R. Swanson & Tiemen Woutersen, 2012. "Combining Two Consistent Estimators," Advances in Econometrics, in: Essays in Honor of Jerry Hausman, pages 33-53, Emerald Group Publishing Limited.
    127. Alan B. Krueger & Mikael Lindahl, 1999. "Education for Growth in Sweden and the World," NBER Working Papers 7190, National Bureau of Economic Research, Inc.
    128. Richard E. Just & Rulon D. Pope, 2012. "Cost Function Estimation with Proportional Errors in Variables," International Econometric Review (IER), Econometric Research Association, vol. 4(2), pages 59-81, September.
    129. Kazuhiko Hayakawa, 2006. "Efficient GMM Estimation of Dynamic Panel Data Models Where Large Heterogeneity May Be Present," Hi-Stat Discussion Paper Series d05-130, Institute of Economic Research, Hitotsubashi University.
    130. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2011. "Estimation of treatment effects with high-dimensional controls," CeMMAP working papers 42/11, Institute for Fiscal Studies.
    131. Seojeong Lee & Youngki Shin, 2018. "Optimal Estimation with Complete Subsets of Instruments," Department of Economics Working Papers 2018-15, McMaster University.
    132. Canay, Ivan A., 2010. "Simultaneous selection and weighting of moments in GMM using a trapezoidal kernel," Journal of Econometrics, Elsevier, vol. 156(2), pages 284-303, June.
    133. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
    134. Wayne Yuan Gao & Rui Wang, 2023. "IV Regressions without Exclusion Restrictions," Papers 2304.00626, arXiv.org, revised Jul 2023.
    135. 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.
    136. Andrews, Donald W.K. & Moreira, Marcelo J. & Stock, James H., 2007. "Performance of conditional Wald tests in IV regression with weak instruments," Journal of Econometrics, Elsevier, vol. 139(1), pages 116-132, July.
    137. Cho, Hyunkeun, 2016. "The analysis of multivariate longitudinal data using multivariate marginal models," Journal of Multivariate Analysis, Elsevier, vol. 143(C), pages 481-491.
    138. Liu, Xiaodong, 2012. "On the consistency of the LIML estimator of a spatial autoregressive model with many instruments," Economics Letters, Elsevier, vol. 116(3), pages 472-475.
    139. Hahn, Jinyong & Ham, John C. & Moon, Hyungsik Roger, 2011. "The Hausman test and weak instruments," Journal of Econometrics, Elsevier, vol. 160(2), pages 289-299, February.
    140. Dakyung Seong, 2022. "Binary response model with many weak instruments," Papers 2201.04811, arXiv.org, revised May 2023.
    141. Ramalho Joaquim J.S., 2005. "Small Sample Bias of Alternative Estimation Methods for Moment Condition Models: Monte Carlo Evidence for Covariance Structures," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(1), pages 1-20, March.
    142. Aragón, Edilean Kleber da Silva Bejarano & Galvão, Ana Beatriz, 2023. "Shock-based inference on the Phillips curve with the cost channel," Economic Modelling, Elsevier, vol. 126(C).
    143. Nandana Sengupta & Fallaw Sowell, 2019. "The Ridge Path Estimator for Linear Instrumental Variables," Papers 1908.09237, arXiv.org.
    144. Stefan Boes, 2007. "Count Data Models with Unobserved Heterogeneity: An Empirical Likelihood Approach," SOI - Working Papers 0704, Socioeconomic Institute - University of Zurich.
    145. Okui, Ryo, 2009. "The optimal choice of moments in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 151(1), pages 1-16, July.
    146. Christopher Malikane, 2017. "The labour share and the dynamics of output," Applied Economics, Taylor & Francis Journals, vol. 49(37), pages 3741-3750, August.
    147. Kazuhiko Hayakawa, 2005. "Small Sample Bias Propreties of the System GMM Estimator in Dynamic Panel Data Models," Hi-Stat Discussion Paper Series d05-82, Institute of Economic Research, Hitotsubashi University.
    148. Martins, Luis F. & Gabriel, Vasco J., 2014. "Linear instrumental variables model averaging estimation," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 709-724.
    149. 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.
    150. Whitney K. Newey, 2009. "Treatment effects (in Russian)," Quantile, Quantile, issue 6, pages 15-23, March.
    151. Donald, Stephen G. & Newey, Whitney K., 2000. "A jackknife interpretation of the continuous updating estimator," Economics Letters, Elsevier, vol. 67(3), pages 239-243, June.
    152. Chang, Jinyuan & Guo, Bin & Yao, Qiwei, 2015. "High dimensional stochastic regression with latent factors, endogeneity and nonlinearity," Journal of Econometrics, Elsevier, vol. 189(2), pages 297-312.
    153. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.

  10. Stephen G. Donald & David E.M. Sappington, 1995. "Explaining the Choice Among Regulatory Plans in the U.S. Telecommunications Industry," Papers 0055, Boston University - Industry Studies Programme.

    Cited by:

    1. Larry Blank & John Mayo, 2009. "Endogenous Regulatory Constraints and the Emergence of Hybrid Regulation," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 35(3), pages 233-255, November.
    2. Tomaso Duso, 2005. "Lobbying and regulation in a political economy: Evidence from the U.S. cellular industry," Public Choice, Springer, vol. 122(3), pages 251-276, March.
    3. Pérez Montes, Carlos, 2013. "Regulatory bias in the price structure of local telephone service," International Journal of Industrial Organization, Elsevier, vol. 31(5), pages 462-476.
    4. Gual, Jordi & Trillas, Francesc, 2006. "Telecommunications policies: Measurement and determinants," IESE Research Papers D/630, IESE Business School.
    5. Dewenter, Ralf & Kruse, Jörn, 2010. "Calling party pays or receiving party pays? The diffusion of mobile telephony with endogenous regulation," DICE Discussion Papers 10, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    6. Carlos Perez Montes, 2012. "Regulatory bias in the price structure of local telephone services," Working Papers 1201, Banco de España.
    7. Abel, Jaison R, 2002. "Entry into Regulated Monopoly Markets: The Development of a Competitive Fringe in the Local Telephone Industry," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 289-316, October.
    8. Jaison Abel & Michael Clements, 2001. "Entry under Asymmetric Regulation," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 19(2), pages 227-242, September.
    9. Aleksandra Stupar & Predrag Jovanović & Jelena Ivanović Vojvodić, 2020. "Strengthening the Social Sustainability of Super-Blocks: Belgrade’s Emerging Urban Hubs," Sustainability, MDPI, vol. 12(3), pages 1-23, January.
    10. Eriksson, Ross C & Kaserman, David L & Mayo, John W, 1998. "Targeted and Untargeted Subsidy Schemes: Evidence from Postdivestiture Efforts to Promote Universal Telephone Service," Journal of Law and Economics, University of Chicago Press, vol. 41(2), pages 477-502, October.
    11. Wimmer, Bradley S. & Rosston, Gregory L., 2005. "Local telephone rate structures: before and after the Act," Information Economics and Policy, Elsevier, vol. 17(1), pages 13-34, January.
    12. Toivanen, Otto, 2004. "Choosing Standards," Discussion Papers 937, The Research Institute of the Finnish Economy.
    13. Weisman, Dennis L., 2002. "Is there 'Hope' for price cap regulation?," Information Economics and Policy, Elsevier, vol. 14(3), pages 349-370, September.

  11. Donald, S.G. & Paarsch, H.J., 1993. "Identification, Estimation, and Testing in Empirical Models of Auction Within the Independent Private Values Paradigm," University of Western Ontario, Departmental Research Report Series 9319, University of Western Ontario, Department of Economics.

    Cited by:

    1. Silva Junior, Daniel, 2013. "Impacts of biodiesel on the Brazilian fuel market," Energy Economics, Elsevier, vol. 36(C), pages 666-675.
    2. Patrick Bajari & Ali Hortacsu, 2003. "Are Structural Estimates of Auction Models Reasonable? Evidence from Experimental Data," NBER Working Papers 9889, National Bureau of Economic Research, Inc.
    3. Haile,P.A. & Tamer,E.T., 2000. "Inference with an incomplete model of English auctions," Working papers 18, Wisconsin Madison - Social Systems.
    4. Hong, Han & Shum, Matthew, 2003. "Econometric models of asymmetric ascending auctions," Journal of Econometrics, Elsevier, vol. 112(2), pages 327-358, February.
    5. Elena Krasnokutskaya, 2004. "Identification and Estimation in Highway Procurement Auctions under Unobserved Auction Heterogeneity," PIER Working Paper Archive 05-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    6. Li, Tong, 2009. "Simulation based selection of competing structural econometric models," Journal of Econometrics, Elsevier, vol. 148(2), pages 114-123, February.
    7. Harry J. Paarsch & Bjarne Brendstrup, 2004. "Nonparametric Estimation of Dutch and First-Price, Sealed-Bid Auction Models with Asymmetric Bidders," Econometric Society 2004 North American Summer Meetings 39, Econometric Society.

  12. Donald, S.G. & Pearsch, H.J., 1992. "Identification in Empirical Models of Auctions," University of Western Ontario, Departmental Research Report Series 9216, University of Western Ontario, Department of Economics.

    Cited by:

    1. Gervan Fearon, 2004. "Public sector wage settlement and the threat of outsourcing," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 32(3), pages 161-174, September.
    2. Jean-Jacques Laffont, 1998. "Théorie des jeux et économie empirique : le cas des données issues d'enchères," Économie et Prévision, Programme National Persée, vol. 132(1), pages 121-137.

  13. Donald, S.G. & Paarsch, H.J., 1992. "Maximum Likelihood Estimation in Empirical Models of Auctions," University of Western Ontario, Departmental Research Report Series 9211, University of Western Ontario, Department of Economics.

    Cited by:

    1. Bernard Caillaud & Jacques Robert, 2003. "Implementing the Optimal Auction," CIRANO Working Papers 2003s-31, CIRANO.
    2. Erwann SbaÏ & Olivier Armantier, 2006. "Estimation and comparison of treasury auction formats when bidders are asymmetric," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 745-779.
    3. Vukina, Tomislav & Zheng, Xiaoyong & Marra, Michele & Levy, Armando, 2008. "Do farmers value the environment? Evidence from a conservation reserve program auction," International Journal of Industrial Organization, Elsevier, vol. 26(6), pages 1323-1332, November.
    4. Jose Luis Moraga-Gonzalez & Matthijs R. Wildenbeest, 0000. "Maximum Likelihood Estimation of Search Costs," Tinbergen Institute Discussion Papers 06-019/1, Tinbergen Institute.
    5. Maarten C. W. Janssen & José Luis Moraga-González & Matthijs R. Wildenbeest, 2004. "Consumer Search and Oligopolistic Pricing: An Empirical Investigation," CESifo Working Paper Series 1292, CESifo.
    6. Simon Loertscher & Andras Niedermayer, 2012. "Assessing the Performance of Simple Contracts Empirically:The Case of Percentage Fees," Department of Economics - Working Papers Series 1163, The University of Melbourne.
    7. Leonardo Rezende, 2008. "Econometrics of auctions by least squares," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(7), pages 925-948.
    8. Patrick Bajari & Stephanie Houghton & Steve Tadelis, 2006. "Bidding for Incomplete Contracts: An Empirical Analysis," NBER Working Papers 12051, National Bureau of Economic Research, Inc.
    9. Gerard J. van den Berg & Bas van der Klaauw, 2007. "If Winning isn't Everything, why do they keep Score? A Structural Empirical Analysis of Dutch Flower Auctions," Tinbergen Institute Discussion Papers 07-041/3, Tinbergen Institute.
    10. Kevin Hasker & Robin Sickles, 2010. "eBay in the Economic Literature: Analysis of an Auction Marketplace," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 37(1), pages 3-42, August.
    11. Pesendorfer, Martin & Cantillon, Estelle, 2007. "Combination Bidding in Multi-Unit Auctions," CEPR Discussion Papers 6083, C.E.P.R. Discussion Papers.
    12. An, Yonghong & Hu, Yingyao & Shum, Matthew, 2010. "Estimating first-price auctions with an unknown number of bidders: A misclassification approach," Journal of Econometrics, Elsevier, vol. 157(2), pages 328-341, August.
    13. Gautier, Pieter & Moraga-González, José-Luis & Wolthoff, Ronald, 2007. "Structural Estimation of Search Intensity: Do Non-Employed Workers Search Enough?," CEPR Discussion Papers 6440, C.E.P.R. Discussion Papers.
    14. Patrick Bajari & Jeremy T. Fox, 2005. "Measuring the Efficiency of an FCC Spectrum Auction," NBER Working Papers 11671, National Bureau of Economic Research, Inc.
    15. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    16. Hubbard, Timothy P. & Li, Tong & Paarsch, Harry J., 2012. "Semiparametric estimation in models of first-price, sealed-bid auctions with affiliation," Journal of Econometrics, Elsevier, vol. 168(1), pages 4-16.
    17. Christine Zulehner, 1998. "Econometric Analysis of Cattle Auctions," CIG Working Papers FS IV 98-16, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
    18. Xin An & Shulin Liu & Shuo Xu, 2011. "Piecewise Pseudo-Maximum Likelihood Estimation for Risk Aversion Case in First-Price Sealed-Bid Auction," Computational Economics, Springer;Society for Computational Economics, vol. 38(4), pages 439-463, November.

  14. Robert G. Trevor & Stephen G. Donald, 1986. "Leading Indexes – Do They?," RBA Research Discussion Papers rdp8604, Reserve Bank of Australia.

    Cited by:

    1. Malcolm Edey & Jill Pleban, 1991. "Indicators of Economic Activity: A Review," RBA Research Discussion Papers rdp9102, Reserve Bank of Australia.

  15. Robert G. Trevor & Stephen G. Donald, 1986. "Exchange Rate Regimes and the Volatility of Financial Prices: The Australian Case," RBA Research Discussion Papers rdp8608, Reserve Bank of Australia.

    Cited by:

    1. Warren J. Tease, 1988. "Speculative Efficiency and the Exchange Rate: Some Evidence Since the Float," The Economic Record, The Economic Society of Australia, vol. 64(1), pages 2-13, March.
    2. F. In & S. N. Onchoke, 1995. "The Sources Of Commodity Export Revenue Variability In The South Pacific Island Nations," Journal of Agricultural Economics, Wiley Blackwell, vol. 46(2), pages 214-226, May.
    3. O'Mara, L. Paul & Wallace, N.A. & Meshios, Helen, 1987. "The Current Account, Monetary Policy, Market Sentiment And The Real Exchange Rate: Some Implications For The Farm Sector," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 31(3), pages 1-23, December.
    4. Simon Avenell & Robert Leeson & Gavin Wood, 1989. "Measuring Exchange Rate Uncertainty: The Case of the Australian Dollar 1969 to 1987," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 22(2), pages 34-42, June.

  16. Stephen Donald & David Green & Harry Paarsch, "undated". "Differences in Earnings and Wage Distributions between Canada and the United States: An Application of a Semi-Parametric Estimator of Distribution Functions with Covariates," Working Papers _003, University of California at Berkeley, Econometrics Laboratory Software Archive.

    Cited by:

    1. Paul A. Storer & Marc A. van Audenrode, 1998. "Exploring the Links between Wage Inequality and Unemployment: A Comparison of Canada and the US," Canadian Public Policy, University of Toronto Press, vol. 24(s1), pages 233-253, February.
    2. Friesen, Jane, 2001. "Overtime pay regulation and weekly hours of work in Canada," Labour Economics, Elsevier, vol. 8(6), pages 691-720, December.
    3. Stuart Landon, 1997. "High School Enrollment, Minimum Wages and Education Spending," Canadian Public Policy, University of Toronto Press, vol. 23(2), pages 141-163, June.

Articles

  1. Stephen G. Donald & Yu‐Chin Hsu & Garry F. Barrett, 2012. "Incorporating covariates in the measurement of welfare and inequality: methods and applications," Econometrics Journal, Royal Economic Society, vol. 15(1), pages 1-30, February.

    Cited by:

    1. Margherita Gerolimetto & Stefano Magrini, 2018. "Inference for inequality measures: a review," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 72(2), pages 75-85, April-Jun.
    2. Fan, Yanqin & Liu, Ruixuan, 2016. "A direct approach to inference in nonparametric and semiparametric quantile models," Journal of Econometrics, Elsevier, vol. 191(1), pages 196-216.
    3. Fiorini, Mario & Stevens, Katrien, 2021. "Scrutinizing the Monotonicity Assumption in IV and fuzzy RD designs," Working Papers 2021-01, University of Sydney, School of Economics.
    4. Chiang, Harold D. & Hsu, Yu-Chin & Sasaki, Yuya, 2019. "Robust uniform inference for quantile treatment effects in regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 211(2), pages 589-618.
    5. Ying-Ying Lee, 2015. "Efficient propensity score regression estimators of multi-valued treatment effects for the treated," Economics Series Working Papers 738, University of Oxford, Department of Economics.
    6. Philippe Van Kerm & Seunghee Yu & Chung Choe, 2016. "Decomposing quantile wage gaps: a conditional likelihood approach," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 65(4), pages 507-527, August.
    7. Yun Shi & Lin Yang & Mei Huang & Jun Steed Huang, 2021. "Multi-Factorized Semi-Covariance of Stock Markets and Gold Price," JRFM, MDPI, vol. 14(4), pages 1-11, April.
    8. Goldman, Matt & Kaplan, David M., 2017. "Fractional order statistic approximation for nonparametric conditional quantile inference," Journal of Econometrics, Elsevier, vol. 196(2), pages 331-346.
    9. Franck A. Cowell & Emmanuel Flachaire, 2015. "Statistical Methods for Distributional Analysis," AMSE Working Papers 1507, Aix-Marseille School of Economics, France.
    10. Ying-Ying Lee, 2018. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Papers 1811.00157, arXiv.org.
    11. Donald, Stephen G. & Hsu, Yu-Chin, 2014. "Estimation and inference for distribution functions and quantile functions in treatment effect models," Journal of Econometrics, Elsevier, vol. 178(P3), pages 383-397.
    12. Jing Dai & Stefan Sperlich & Walter Zucchini, 2016. "A Simple Method for Predicting Distributions by Means of Covariates with Examples from Poverty and Health Economics," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 152(1), pages 49-80, January.
    13. Sungwon Lee, 2021. "Partial Identification and Inference for Conditional Distributions of Treatment Effects," Papers 2108.00723, arXiv.org, revised Nov 2023.
    14. Domma, Filippo & Condino, Francesca & Giordano, Sabrina, 2018. "A new formulation of the Dagum distribution in terms of income inequality and poverty measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 104-126.
    15. Brantly Callaway & Weige Huang, 2020. "Distributional Effects of a Continuous Treatment with an Application on Intergenerational Mobility," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 808-842, August.
    16. Yu-Chin Hsu & Robert P. Lieli, 2021. "Inference for ROC Curves Based on Estimated Predictive Indices," Papers 2112.01772, arXiv.org.
    17. Ng, Pin & Wong, Wing-Keung & Xiao, Zhijie, 2017. "Stochastic dominance via quantile regression with applications to investigate arbitrage opportunity and market efficiency," European Journal of Operational Research, Elsevier, vol. 261(2), pages 666-678.
    18. Christopher J. Bennett, 2013. "Inference For Dominance Relations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(4), pages 1309-1328, November.
    19. Sungwon Lee, 2024. "Partial identification and inference for conditional distributions of treatment effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 107-127, January.
    20. Ying-Ying Lee, 2014. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Economics Series Working Papers 706, University of Oxford, Department of Economics.

  2. Donald, Stephen G. & Fortuna, Natércia & Pipiras, Vladas, 2011. "Local and Global Rank Tests for Multivariate Varying-Coefficient Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 295-306.
    See citations under working paper version above.
  3. Jeffrey Zabel & Saul Schwartz & Stephen Donald, 2010. "The impact of the Self-Sufficiency Project on the employment behaviour of former welfare recipients," Canadian Journal of Economics, Canadian Economics Association, vol. 43(3), pages 882-918, August.

    Cited by:

    1. Jeffrey Zabel & Saul Schwartz & Stephen Donald, 2013. "An analysis of the impact of the self-sufficiency project on wages," Empirical Economics, Springer, vol. 44(1), pages 231-259, February.
    2. Heckman, James J. & Kautz, Tim, 2013. "Fostering and Measuring Skills: Interventions That Improve Character and Cognition," IZA Discussion Papers 7750, Institute of Labor Economics (IZA).
    3. Tim Kautz & James J. Heckman & Ron Diris & Bas ter Weel & Lex Borghans, 2014. "Fostering and Measuring Skills: Improving Cognitive and Non-cognitive Skills to Promote Lifetime Success," OECD Education Working Papers 110, OECD Publishing.
    4. Emilia Soldani, 2021. "Public kindergarten, maternal labor supply, and earnings in the longer run: Too little too late?," LABOUR, CEIS, vol. 35(2), pages 214-263, June.

  4. Donald, Stephen G. & Imbens, Guido W. & Newey, Whitney K., 2009. "Choosing instrumental variables in conditional moment restriction models," Journal of Econometrics, Elsevier, vol. 152(1), pages 28-36, September.

    Cited by:

    1. Siddhartha Chib & Minchul Shin & Anna Simoni, 2021. "Bayesian Estimation and Comparison of Conditional Moment Models," Papers 2110.13531, arXiv.org.
    2. Nguyen, Canh Phuc & Doytch, Nadia, 2022. "The impact of ICT patents on economic growth: An international evidence," Telecommunications Policy, Elsevier, vol. 46(5).
    3. Sentana, Enrique & Peñaranda, Francisco, 2007. "Duality in Mean-Variance Frontiers with Conditioning Information," CEPR Discussion Papers 6566, C.E.P.R. Discussion Papers.
    4. 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.
    5. Hao Hao & Bai Huang & Tae-Hwy Lee, 2022. "Model Averaging Estimation of Panel Data Models with Many Instruments and Boosting," Working Papers 202212, University of California at Riverside, Department of Economics.
    6. Liu, Chu-An & Tao, Jing, 2016. "Model selection and model averaging in nonparametric instrumental variables models," MPRA Paper 69492, University Library of Munich, Germany.
    7. Varvara Isyuk, 2014. "Resuming bank lending in the aftermath of the Capital Purchase Program," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01093414, HAL.
    8. Alastair R. Hall, 2015. "Econometricians Have Their Moments: GMM at 32," The Economic Record, The Economic Society of Australia, vol. 91(S1), pages 1-24, June.
    9. Parente, Paulo M.D.C. & Smith, Richard J., 2017. "Tests of additional conditional moment restrictions," Journal of Econometrics, Elsevier, vol. 200(1), pages 1-16.
    10. Shantanu Gupta & Zachary C. Lipton & David Childers, 2021. "Efficient Online Estimation of Causal Effects by Deciding What to Observe," Papers 2108.09265, arXiv.org, revised Oct 2021.
    11. Varvara Isyuk, 2014. "Resuming bank lending in the aftermath of the Capital Purchase Program," Post-Print halshs-01093414, HAL.
    12. Sébastien Mary & Avraham Stoler, 2021. "Does agricultural trade liberalization increase obesity in developing countries?," Review of Development Economics, Wiley Blackwell, vol. 25(3), pages 1326-1350, August.
    13. Richard Ashley & Christopher Parmeter, 2015. "Sensitivity analysis for inference in 2SLS/GMM estimation with possibly flawed instruments," Empirical Economics, Springer, vol. 49(4), pages 1153-1171, December.
    14. 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.
    15. Yves G. Berger, 2023. "Unconditional empirical likelihood approach for analytic use of public survey data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 50(1), pages 383-410, March.
    16. Mary, Sebastien & Shaw, Kelsey & Colen, Liesbeth & Gomez y Paloma, Sergio, 2020. "Does agricultural aid reduce child stunting?," World Development, Elsevier, vol. 130(C).
    17. Byunghoon Kang, 2018. "Higher Order Approximation of IV Estimators with Invalid Instruments," Working Papers 257105320, Lancaster University Management School, Economics Department.
    18. Victor Chernozhukov & Iv'an Fern'andez-Val & Chen Huang & Weining Wang, 2024. "Arellano-Bond LASSO Estimator for Dynamic Linear Panel Models," Papers 2402.00584, arXiv.org, revised Apr 2024.
    19. Kuersteiner, Guido M., 2012. "Kernel-weighted GMM estimators for linear time series models," Journal of Econometrics, Elsevier, vol. 170(2), pages 399-421.
    20. Kun Xu & Yanyuan Ma & Liqun Wang, 2015. "Instrument Assisted Regression for Errors in Variables Models with Binary Response," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 104-117, March.
    21. Yoonseok Lee & Yu Zhou, 2015. "Averaged Instrumental Variables Estimators," Center for Policy Research Working Papers 180, Center for Policy Research, Maxwell School, Syracuse University.
    22. Berger, Yves G. & Patilea, Valentin, 2022. "A semi-parametric empirical likelihood approach for conditional estimating equations under endogenous selection," Econometrics and Statistics, Elsevier, vol. 24(C), pages 151-163.
    23. Stefan Boes, 2010. "Count Data Models with Correlated Unobserved Heterogeneity," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 37(3), pages 382-402, September.
    24. Shakil, Golam Saroare & Marsh, Thomas L., 2021. "One Instrument to Rule Them All?," 2021 Annual Meeting, August 1-3, Austin, Texas 314047, Agricultural and Applied Economics Association.
    25. 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.
    26. Firpo, Sergio & Galvao, Antonio F. & Pinto, Cristine & Poirier, Alexandre & Sanroman, Graciela, 2022. "GMM quantile regression," Journal of Econometrics, Elsevier, vol. 230(2), pages 432-452.
    27. Sébastien Mary & Kelsey Shaw & Sergio Gomez y Paloma, 2019. "Does the sectoral composition of growth affect child stunting reductions?," Development Policy Review, Overseas Development Institute, vol. 37(2), pages 225-244, March.
    28. Nguyen, Canh Phuc & Nguyen, Binh Quang, 2023. "Environmental foe or friend: The influence of the shadow economy on forest land," Land Use Policy, Elsevier, vol. 124(C).
    29. Sébastien Mary, 2019. "Hungry for free trade? Food trade and extreme hunger in developing countries," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(2), pages 461-477, April.
    30. Jonathan Chassot & Michael Creel, 2023. "Constructing Efficient Simulated Moments Using Temporal Convolutional Networks," Working Papers 1412, Barcelona School of Economics.
    31. Creel, Michael, 2017. "Neural nets for indirect inference," Econometrics and Statistics, Elsevier, vol. 2(C), pages 36-49.
    32. Varvara Isyuk, 2014. "Resuming bank lending in the aftermath of the Capital Purchase Program," Documents de travail du Centre d'Economie de la Sorbonne 14062, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    33. Michael Creel, 2016. "Neural Nets for Indirect Inference," UFAE and IAE Working Papers 960.16, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC), revised 18 Jul 2016.
    34. Nguyen, Canh Phuc, 2021. "Gender equality and economic complexity," Economic Systems, Elsevier, vol. 45(4).
    35. Michael Creel, 2021. "Inference Using Simulated Neural Moments," Econometrics, MDPI, vol. 9(4), pages 1-15, September.
    36. Canay, Ivan A., 2010. "Simultaneous selection and weighting of moments in GMM using a trapezoidal kernel," Journal of Econometrics, Elsevier, vol. 156(2), pages 284-303, June.
    37. Hristache, Marian & Patilea, Valentin, 2021. "Equivalent models for observables under the assumption of missing at random," Econometrics and Statistics, Elsevier, vol. 20(C), pages 153-165.
    38. 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.
    39. Sébastien Mary, 2018. "How Much Does Economic Growth Contribute to Child Stunting Reductions?," Economies, MDPI, vol. 6(4), pages 1-18, October.
    40. Cho, Hyunkeun, 2016. "The analysis of multivariate longitudinal data using multivariate marginal models," Journal of Multivariate Analysis, Elsevier, vol. 143(C), pages 481-491.
    41. Christopher Conlon & Jeff Gortmaker, 2020. "Best practices for differentiated products demand estimation with PyBLP," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 1108-1161, December.
    42. Mary, Sébastien, 2018. "Does Agricultural (Food) Trade Openness Reduce Child Stunting?," 2018 Annual Meeting, August 5-7, Washington, D.C. 274282, Agricultural and Applied Economics Association.
    43. Enrico De Monte & Anne-Laure Levet, 2019. "Productivity Dynamics in French Woodworking Industries," Working Papers of BETA 2019-45, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    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.

  5. Barrett, Garry F. & Donald, Stephen G., 2009. "Statistical Inference with Generalized Gini Indices of Inequality, Poverty, and Welfare," Journal of Business & Economic Statistics, American Statistical Association, vol. 27, pages 1-17.

    Cited by:

    1. Stephen P. Jenkins & Philippe Van Kerm, 2016. "Assessing Individual Income Growth," Economica, London School of Economics and Political Science, vol. 83(332), pages 679-703, October.
    2. Thomas Demuynck, 2012. "An (almost) unbiased estimator for the S-Gini index," ULB Institutional Repository 2013/252239, ULB -- Universite Libre de Bruxelles.
    3. Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2012. "Inference on counterfactual distributions," CeMMAP working papers 05/12, Institute for Fiscal Studies.
    4. Yong Tao & Xiangjun Wu & Changshuai Li, 2014. "Rawls' Fairness, Income Distribution and Alarming Level of Gini Coefficient," Papers 1409.3979, arXiv.org.
    5. Andrew Leigh, 2005. "Can Redistributive State Taxes Reduce Inequality?," CEPR Discussion Papers 490, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    6. Garry F. Barrett & Stephen G. Donald & Debopam Bhattacharya, 2014. "Consistent Nonparametric Tests for Lorenz Dominance," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(1), pages 1-13, January.
    7. Franck A. Cowell & Emmanuel Flachaire, 2015. "Statistical Methods for Distributional Analysis," AMSE Working Papers 1507, Aix-Marseille School of Economics, France.
    8. Russell Davidson, 2010. "Innis Lecture: Inference on income distributions," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 43(4), pages 1122-1148, November.
    9. Ricardas Zitikis, 2002. "Analysis Of Indices Of Economic Inequality From A Mathematical Point Of View," RePAd Working Paper Series lrsp-TRS366, Département des sciences administratives, UQO.
    10. Elsayed Elamir, 2013. "On estimation of some abbreviated social welfare measures," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(3), pages 1561-1576, April.
    11. Brantly Callaway & Weige Huang, 2020. "Distributional Effects of a Continuous Treatment with an Application on Intergenerational Mobility," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 808-842, August.
    12. Francesco Andreoli, 2013. "Inference for Inverse Stochastic Dominance," Working Papers 295, ECINEQ, Society for the Study of Economic Inequality.
    13. Rothe, Christoph, 2010. "Nonparametric estimation of distributional policy effects," Journal of Econometrics, Elsevier, vol. 155(1), pages 56-70, March.
    14. Yoonseok Lee & Donggyun Shin, 2016. "Measuring Social Tension from Income Class Segregation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 457-471, July.
    15. Sudheesh K. Kattumannil & N. Sreelakshmi & N. Balakrishnan, 2022. "Non-Parametric Inference for Gini Covariance and its Variants," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 790-807, August.
    16. Garry F. Barrett & Stephen G. Donald & Yu-Chin Hsu, 2015. "Consistent Tests for Poverty Dominance Relations," IEAS Working Paper : academic research 15-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    17. Kock, Anders Bredahl & Preinerstorfer, David & Veliyev, Bezirgen, 2023. "Treatment recommendation with distributional targets," Journal of Econometrics, Elsevier, vol. 234(2), pages 624-646.
    18. Duangkamon Chotikapanich & William E. Griffiths, 2006. "Bayesian Assessment of Lorenz and Stochastic Dominance in Income Distributions," Department of Economics - Working Papers Series 960, The University of Melbourne.
    19. Francesco Andreoli, 2018. "Robust Inference for Inverse Stochastic Dominance," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 146-159, January.
    20. Daniel Dugger & Peter Lambert, 2014. "The 1913 paper of René Gâteaux, upon which the modern-day influence function is based," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(1), pages 149-152, March.

  6. Donald, Stephen G. & Hamermesh, Daniel S., 2009. "A structural model of the fixed time costs of market work," Economics Letters, Elsevier, vol. 104(3), pages 125-128, September.

    Cited by:

    1. Elena Capatina, 2012. "Life Cycle Effects of Health Risk," Working Papers 201216, ARC Centre of Excellence in Population Ageing Research (CEPAR), Australian School of Business, University of New South Wales.
    2. Randon, Emanuela & Simmons, Peter, 2010. "Base consumption levels and fixed costs," Economics Letters, Elsevier, vol. 108(2), pages 222-224, August.
    3. Blau, David M. & Shvydko, Tetyana, 2007. "Labor Market Rigidities and the Employment Behavior of Older Workers," IZA Discussion Papers 2996, Institute of Labor Economics (IZA).
    4. Roff, Jennifer & Lugo-Gil, Julieta, 2012. "A model of child support and the underground economy," Labour Economics, Elsevier, vol. 19(5), pages 668-681.
    5. Apps, Patricia & Kabátek, Jan & Rees, Ray & van Soest, Arthur, 2012. "Labor Supply Heterogeneity and Demand for Child Care of Mothers with Young Children," IZA Discussion Papers 7007, Institute of Labor Economics (IZA).
    6. Kabátek, Jan, 2015. "Essays on public policy and household decision making," Other publications TiSEM 8cdb178e-ad98-42e5-a7e1-b, Tilburg University, School of Economics and Management.
    7. Karen Mumford & Antonia Parera‐Nicolau & Yolanda Pena‐Boquete, 2020. "Labour Supply and Childcare: Allowing Both Parents to Choose," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(3), pages 577-602, June.
    8. Robert A. Pollak, 2013. "Allocating Household Time: When Does Efficiency Imply Specialization?," NBER Working Papers 19178, National Bureau of Economic Research, Inc.
    9. Phaneuf, Daniel J., 2011. "Can consumption of convenience products reveal the opportunity cost of time?," Economics Letters, Elsevier, vol. 113(1), pages 92-95, October.
    10. Capatina, Elena, 2015. "Life-cycle effects of health risk," Journal of Monetary Economics, Elsevier, vol. 74(C), pages 67-88.

  7. Hamermesh, Daniel S. & Donald, Stephen G., 2008. "The effect of college curriculum on earnings: An affinity identifier for non-ignorable non-response bias," Journal of Econometrics, Elsevier, vol. 144(2), pages 479-491, June.

    Cited by:

    1. Rajeev Darolia & Cory Koedel, 2018. "High Schools And Students' Initial Colleges And Majors," Contemporary Economic Policy, Western Economic Association International, vol. 36(4), pages 692-710, October.
    2. Ralph Stinebrickner & Todd R. Stinebrickner, 2013. "A Major in Science? Initial Beliefs and Final Outcomes for College Major and Dropout," NBER Working Papers 19165, National Bureau of Economic Research, Inc.
    3. Nicolas Ziebarth & Martin Gervais, 2017. "Life after Debt: Post-Graduation Consequences of Federal Student Loans," 2017 Meeting Papers 238, Society for Economic Dynamics.
    4. Xia, Xiaoyu, 2016. "Forming wage expectations through learning: Evidence from college major choices," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PA), pages 176-196.
    5. Light, Audrey & Schreiner, Sydney, 2019. "College major, college coursework, and post-college wages," Economics of Education Review, Elsevier, vol. 73(C).
    6. Di Paolo, Antonio & Tansel, Aysit, 2017. "Analyzing Wage Differentials by Fields of Study: Evidence from Turkey," IZA Discussion Papers 10915, Institute of Labor Economics (IZA).
    7. Fricke, Hans & Grogger, Jeffrey & Steinmayr, Andreas, 2018. "Exposure to academic fields and college major choice," Economics of Education Review, Elsevier, vol. 64(C), pages 199-213.
    8. Joseph G. Altonji & Seth D. Zimmerman, 2018. "The Costs of and Net Returns to College Major," NBER Chapters, in: Productivity in Higher Education, pages 133-176, National Bureau of Economic Research, Inc.
    9. Alessandra Bonfiglioli & Gino Gancia, 2013. "Heterogeneity, selection and labor market disparities," Economics Working Papers 1402, Department of Economics and Business, Universitat Pompeu Fabra, revised Feb 2018.
    10. Aina, Carmen & Casalone, Giorgia, 2020. "Early labor market outcomes of university graduates: Does time to degree matter?," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    11. Lisa Dickson, 2010. "Race and Gender Differences in College Major Choice," The ANNALS of the American Academy of Political and Social Science, , vol. 627(1), pages 108-124, January.
    12. Sungjin Cho & Jihye Kam & Soohyung Lee, 2018. "Efficient Supply Of Human Capital: Role Of College Major," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(05), pages 1319-1343, December.
    13. Kang, Lili & Peng, Fei & Zhu, Yu, 2019. "Returns to Higher Education Subjects and Tiers in China: Evidence from the China Family Panel Studies," IZA Discussion Papers 12071, Institute of Labor Economics (IZA).
    14. Hans Fricke & Jeffrey Grogger & Andreas Steinmayr, 2015. "Does Exposure to Economics Bring New Majors to the Field? Evidence from a natural Experiment," NBER Working Papers 21130, National Bureau of Economic Research, Inc.
    15. Heng Chen & Geoffrey Dunbar & Q. Rallye Shen, 2020. "The Mode is the Message: Using Predata as Exclusion Restrictions to Evaluate Survey Design," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 341-357, Emerald Group Publishing Limited.
    16. Joseph G. Altonji & Peter Arcidiacono & Arnaud Maurel, 2015. "The Analysis of Field Choice in College and Graduate School: Determinants and Wage Effects," NBER Working Papers 21655, National Bureau of Economic Research, Inc.
    17. Yanhong H. Jin & James W. Mjelde & Kerry K. Litzenberg, 2014. "Economic analysis of job-related attributes in undergraduate students' initial job selection," Education Economics, Taylor & Francis Journals, vol. 22(3), pages 305-327, June.
    18. Ernest Berkhout & Peter Berkhout & Dinand Webbink, 2011. "The Effects of a Dutch High School Curriculum Reform on Performance in and After Higher Education," De Economist, Springer, vol. 159(1), pages 41-61, March.
    19. Gevrek, Deniz & Gevrek, Z. Eylem, 2010. "Nepotism, incentives and the academic success of college students," Labour Economics, Elsevier, vol. 17(3), pages 581-591, June.
    20. Peter Arcidiacono & V. Joseph Hotz & Songman Kang, 2010. "Modeling College Major Choices using Elicited Measures of Expectations and Counterfactuals," NBER Working Papers 15729, National Bureau of Economic Research, Inc.
    21. Christopher R. Bollinger & Barry T. Hirsch, 2010. "GDP & Beyond – die europäische Perspektive," RatSWD Working Papers 165, German Data Forum (RatSWD).
    22. Anne Boring & Jennifer Brown, 2021. "Gender and Choices in Higher Education," SciencePo Working papers Main hal-03383112, HAL.
    23. Rodney J. Andrews & Scott A. Imberman & Michael F. Lovenheim, 2017. "Risky Business? The Effect of Majoring in Business on Earnings and Educational Attainment," NBER Working Papers 23575, National Bureau of Economic Research, Inc.
    24. Novik, Vitaliy, 2022. "The role of learning in returns to college major: evidence from 2.8 million reviews of 150,000 professors," MPRA Paper 115431, University Library of Munich, Germany.
    25. Susan Dynarski & Joshua M. Hyman & Diane Whitmore Schanzenbach, 2011. "Experimental Evidence on the Effect of Childhood Investments on Postsecondary Attainment and Degree Completion," NBER Working Papers 17533, National Bureau of Economic Research, Inc.
    26. Bertoli, S. & Fernández-Huertas Moraga, J. & Ortega, F., 2013. "Crossing the border: Self-selection, earnings and individual migration decisions," Journal of Development Economics, Elsevier, vol. 101(C), pages 75-91.
    27. Christopher R. Bollinger & Barry T. Hirsch, 2013. "Is Earnings Nonresponse Ignorable?," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 407-416, May.
    28. Lars J. Kirkebøen & Edwin Leuven & Magne Mogstad, 2015. "Field of study, earnings and self-selection," Discussion Papers 794, Statistics Norway, Research Department.
    29. Bradley, Elizabeth S., 2012. "The Effect of the Business Cycle on Freshman Major Choice," MPRA Paper 42412, University Library of Munich, Germany.
    30. Arpita Patnaik & Matthew J. Wiswall & Basit Zafar, 2020. "College Majors," NBER Working Papers 27645, National Bureau of Economic Research, Inc.
    31. Webber, Douglas A., 2014. "The lifetime earnings premia of different majors: Correcting for selection based on cognitive, noncognitive, and unobserved factors," Labour Economics, Elsevier, vol. 28(C), pages 14-23.
    32. Hilmer, Michael J. & Hilmer, Christiana E., 2012. "On the relationship between student tastes and motivations, higher education decisions, and annual earnings," Economics of Education Review, Elsevier, vol. 31(1), pages 66-75.
    33. Thomas Carroll & Djeto Assane & Jared Busker, 2014. "Why it Pays to Major in Economics," The Journal of Economic Education, Taylor & Francis Journals, vol. 45(3), pages 251-261, September.
    34. Webber, Douglas A., 2016. "Are college costs worth it? How ability, major, and debt affect the returns to schooling," Economics of Education Review, Elsevier, vol. 53(C), pages 296-310.
    35. Light, Audrey & Wertz, Sydney Schreiner, 2022. "Should English majors take computer science courses? Labor market benefits of the occupational specificity of major and nonmajor college credits," Economics of Education Review, Elsevier, vol. 88(C).

  8. Stephen G. Donald & Kevin Lang, 2007. "Inference with Difference-in-Differences and Other Panel Data," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 221-233, May.

    Cited by:

    1. Asai, Yukiko, 2015. "Parental leave reforms and the employment of new mothers: Quasi-experimental evidence from Japan," Labour Economics, Elsevier, vol. 36(C), pages 72-83.
    2. Wright, Austin L. & Sonin, Konstantin & Driscoll, Jesse & Wilson, Jarnickae, 2020. "Poverty and economic dislocation reduce compliance with COVID-19 shelter-in-place protocols," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 544-554.
    3. Kevin Lang, 2004. "The Effect of the Payroll Tax on Earnings: A Test of Competing Models of Wage Determination," Econometric Society 2004 North American Winter Meetings 360, Econometric Society.
    4. George J. Borjas, 2015. "The Wage Impact of the Marielitos: A Reappraisal," NBER Working Papers 21588, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Salant, David J. & Cabral, Luís, 2019. "Sequential auctions and auction revenue," Economics Letters, Elsevier, vol. 176(C), pages 1-4.
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    5. Laurent Lamy, 2010. "Identification and estimation of sequential English auctions," PSE Working Papers halshs-00564887, HAL.
    6. Edward Anderson & Pär Holmberg, 2023. "Multi-unit auctions with uncertain supply and single-unit demand," Working Papers EPRG2310, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    7. Brendstrup, Bjarne & Paarsch, Harry J., 2007. "Semiparametric identification and estimation in multi-object, English auctions," Journal of Econometrics, Elsevier, vol. 141(1), pages 84-108, November.
    8. Ernan Haruvy & Peter T. L. Popkowski Leszczyc & Octavian Carare & James C. Cox & Eric A. Greenleaf & Wolfgang Jank & Sandy Jap & Young-Hoon Park & Michael H. Rothkopf, 2008. "Competition Between Auctions," Experimental Economics Center Working Paper Series 2008-02, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
      • Ernan Haruvy & Peter Popkowski Leszczyc & Octavian Carare & James Cox & Eric Greenleaf & Wolfgang Jank & Sandy Jap & Young-Hoon Park & Michael Rothkopf, 2008. "Competition between auctions," Marketing Letters, Springer, vol. 19(3), pages 431-448, December.
    9. M. Haley, 2010. "Bounding revenue leakages at scale-bid timber auctions: evidence from Wisconsin state forest auctions," Empirical Economics, Springer, vol. 39(2), pages 427-437, October.
    10. Pesendorfer, Martin & Cantillon, Estelle, 2007. "Combination Bidding in Multi-Unit Auctions," CEPR Discussion Papers 6083, C.E.P.R. Discussion Papers.
    11. Didier Raboisson & Ahmed Ferchiou & Tifenn Corre & Sylvain Perez & Pierre Sans & Guillaume Lhermie & Marie Dervillé, 2021. "Could Contracts between Pharmaceutical Firms and French Veterinarians Bias Prescription Behaviour: A Principal-Agency Theory Approach in the Context of Oligopolies," Post-Print hal-03148045, HAL.
    12. Cho, Sung-Jin & Paarsch, Harry J. & Rust, John, 2010. "Is the ’Linkage Principle’ Valid?: Evidence from the Field," CEI Working Paper Series 2010-4, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    13. Zulehner, Christine, 2009. "Bidding behavior in sequential cattle auctions," International Journal of Industrial Organization, Elsevier, vol. 27(1), pages 33-42, January.
    14. Bruno Bosco, 2023. "Trade, equilibrium prices and rents in European auctions for emission allowances," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 25(1), pages 87-113, January.
    15. Dutra, Renato Cabral Dias & Carpio, Lucio Guido Tapia, 2021. "Biodiesel auctions in Brazil: Symmetry of bids and informational paradigm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    16. Lu, Y. & Gupta, A. & Ketter, W. & van Heck, H.W.G.M., 2017. "Information Transparency in B2B Auction Markets: The Role of Winner Identity Disclosure," ERIM Report Series Research in Management ERS-2017-006-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    17. Yixin Lu & Alok Gupta & Wolfgang Ketter & Eric van Heck, 2019. "Dynamic Decision Making in Sequential Business-to-Business Auctions: A Structural Econometric Approach," Management Science, INFORMS, vol. 65(8), pages 3853-3876, August.
    18. Christine Zulehner, 2007. "Bidding behavior in sequential cattle auctions," Vienna Economics Papers vie0705, University of Vienna, Department of Economics.

  10. Stephen G. Donald & Daniel S. Hamermesh, 2006. "What is Discrimination? Gender in the American Economic Association, 1935-2004," American Economic Review, American Economic Association, vol. 96(4), pages 1283-1292, September.

    Cited by:

    1. Daniel S. Hamermesh, 2018. "Citations in Economics: Measurement, Uses, and Impacts," Journal of Economic Literature, American Economic Association, vol. 56(1), pages 115-156, March.
    2. David Card & Stefano DellaVigna & Patricia Funk & Nagore Iriberri, 2019. "Are Referees and Editors in Economics Gender Neutral?," NBER Working Papers 25967, National Bureau of Economic Research, Inc.
    3. Lucia Foster & Erika McEntarfer & Danielle H. Sandler, 2022. "Diversity and Labor Market Outcomes in the Economics Profession," Working Papers 22-26, Center for Economic Studies, U.S. Census Bureau.
    4. Bransch, Felix & Kvasnicka, Michael, 2017. "Male Gatekeepers Gender Bias in the Publishing Process?," IZA Discussion Papers 11089, Institute of Labor Economics (IZA).
    5. Daniel LaFave & Randy Nelson & Michael Doherty, 2018. "Race and Retention in a Competitive Labor Market," Journal of Sports Economics, , vol. 19(3), pages 417-451, April.
    6. Jan Feld & Nicolás Salamanca & Daniel S. Hamermesh, 2013. "Endophilia or Exophobia: Beyond Discrimination," NBER Working Papers 19471, National Bureau of Economic Research, Inc.
    7. Jason Abrevaya & Daniel S. Hamermesh, 2010. "Charity and Favoritism in the Field: Are Female Economists Nicer (to Each Other)?," NBER Working Papers 15972, National Bureau of Economic Research, Inc.

  11. Donald, Stephen G. & Imbens, Guido W. & Newey, Whitney K., 2003. "Empirical likelihood estimation and consistent tests with conditional moment restrictions," Journal of Econometrics, Elsevier, vol. 117(1), pages 55-93, November.

    Cited by:

    1. Chang, Jinyuan & Chen, Song Xi & Chen, Xiaohong, 2014. "High Dimensional Generalized Empirical Likelihood for Moment Restrictions with Dependent Data," MPRA Paper 59640, University Library of Munich, Germany.
    2. Horowitz, Joel L. & Lee, Sokbae, 2009. "Testing a parametric quantile-regression model with an endogenous explanatory variable against a nonparametric alternative," Journal of Econometrics, Elsevier, vol. 152(2), pages 141-152, October.
    3. Stanislav Anatolyev, 2009. "Inference in Regression Models with Many Regressors," Working Papers w0125, New Economic School (NES).
    4. Lavergne, Pascal & Patilea, Valentin, 2013. "Smooth minimum distance estimation and testing with conditional estimating equations: Uniform in bandwidth theory," Journal of Econometrics, Elsevier, vol. 177(1), pages 47-59.
    5. Siddhartha Chib & Minchul Shin & Anna Simoni, 2021. "Bayesian Estimation and Comparison of Conditional Moment Models," Papers 2110.13531, arXiv.org.
    6. Daniel Becker & Alois Kneip & Valentin Patilea, 2021. "Semiparametric inference for partially linear regressions with Box-Cox transformation," Papers 2106.10723, arXiv.org.
    7. Koen Jochmans, 2015. "Two-way models for gravity," Sciences Po publications 2015-09, Sciences Po.
    8. Anatolyev, Stanislav & Gospodinov, Nikolay, 2011. "Specification Testing In Models With Many Instruments," Econometric Theory, Cambridge University Press, vol. 27(2), pages 427-441, April.
    9. Sentana, Enrique & Peñaranda, Francisco, 2007. "Duality in Mean-Variance Frontiers with Conditioning Information," CEPR Discussion Papers 6566, C.E.P.R. Discussion Papers.
    10. Hyunseok Jung & Xiaodong Liu, 2023. "Testing for Peer Effects without Specifying the Network Structure," Papers 2306.09806, arXiv.org, revised Mar 2024.
    11. Yoon-Jae Whang, 2003. "Smoothed Empirical Likelihood Methods for Quantile Regression Models," Econometrics 0310005, University Library of Munich, Germany.
    12. Christoph Breunig, 2019. "Goodness-of-Fit Tests based on Series Estimators in Nonparametric Instrumental Regression," Papers 1909.10133, arXiv.org.
    13. Xiaohong Chen & Yin Jia Jeff Qiu, 2016. "Methods for Nonparametric and Semiparametric Regressions with Endogeneity: A Gentle Guide," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 259-290, October.
    14. Tao, Jing, 2020. "Trinity tests of functions for conditional moment models," Journal of Multivariate Analysis, Elsevier, vol. 178(C).
    15. Jinyong Hahn & Ruoyao Shi, 2021. "Breusch and Pagan’s (1980) Test Revisited," Working Papers 202110, University of California at Riverside, Department of Economics.
    16. Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022. "Covariate distribution balance via propensity scores," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
    17. Whitney K. Newey & Frank Windmeijer, 2005. "GMM with many weak moment conditions," CeMMAP working papers CWP18/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Mayer, Alexander, 2022. "On the local power of some tests of strict exogeneity in linear fixed effects models," Econometrics and Statistics, Elsevier, vol. 24(C), pages 49-74.
    19. Lavergne, Pascal & Nguimkeu, Pierre, 2016. "A Hausman Specification Test of Conditional Moment Restrictions," TSE Working Papers 16-743, Toulouse School of Economics (TSE).
    20. Breunig, Christoph, 2015. "Goodness-of-fit tests based on series estimators in nonparametric instrumental regression," Journal of Econometrics, Elsevier, vol. 184(2), pages 328-346.
    21. Taisuke Otsu & Myung Hwan Seo & Yoon-Jae Whang, 2008. "Testing for Non-Nested Conditional Moment Restrictions Using Unconditional Empirical Likelihood," Cowles Foundation Discussion Papers 1660, Cowles Foundation for Research in Economics, Yale University.
    22. Yuichi Kitamura, 2006. "Empirical Likelihood Methods in Econometrics: Theory and Practice," CIRJE F-Series CIRJE-F-430, CIRJE, Faculty of Economics, University of Tokyo.
    23. Tue Gørgens & Allan Würtz, 2012. "Testing a parametric function against a non‐parametric alternative in IV and GMM settings," Econometrics Journal, Royal Economic Society, vol. 15(3), pages 462-489, October.
    24. Stanislav Anatolyev, 2005. "Optimal Instruments in Time Series: A Survey," Working Papers w0069, Center for Economic and Financial Research (CEFIR).
    25. Yu‐Chin Hsu & Xiaoxia Shi, 2017. "Model‐selection tests for conditional moment restriction models," Econometrics Journal, Royal Economic Society, vol. 20(1), pages 52-85, February.
    26. Kohtaro Hitomi & Masamune Iwasawa & Yoshihiko Nishiyama, 2020. "Optimal Minimax Rates against Non-smooth Alternatives," KIER Working Papers 1051, Kyoto University, Institute of Economic Research.
    27. Kohtaro Hitomi & Masamune Iwasawa & Yoshihiko Nishiyama, 2023. "Optimal minimax rates of specification testing with data-driven bandwidth," Econometric Reviews, Taylor & Francis Journals, vol. 42(6), pages 487-512, June.
    28. Chirok Han & Peter C. B. Phillips, 2006. "GMM with Many Moment Conditions," Econometrica, Econometric Society, vol. 74(1), pages 147-192, January.
    29. Patrick Kline & Raffaele Saggio & Mikkel Sølvsten, 2020. "Leave‐Out Estimation of Variance Components," Econometrica, Econometric Society, vol. 88(5), pages 1859-1898, September.
    30. Lucas Girard & Yannick Guyonvarch, 2024. "Bridging Methodologies: Angrist and Imbens' Contributions to Causal Identification," Papers 2402.13023, arXiv.org.
    31. Alexandre Belloni & Victor Chernozhukov, 2009. "Posterior Inference in Curved Exponential Families under Increasing Dimensions," Papers 0904.3132, arXiv.org, revised Apr 2014.
    32. Shi, Zhentao, 2016. "Econometric estimation with high-dimensional moment equalities," Journal of Econometrics, Elsevier, vol. 195(1), pages 104-119.
    33. Song Xi Chen & Jiti Gao, 2010. "Simultaneous Testing of Mean and Variance Structures in Nonlinear Time Series Models," School of Economics and Public Policy Working Papers 2010-28, University of Adelaide, School of Economics and Public Policy.
    34. Mayer, Alexander, 2020. "(Consistently) testing strict exogeneity against the alternative of predeterminedness in linear time-series models," Economics Letters, Elsevier, vol. 193(C).
    35. Liu, Qingfeng & Nishiyama, Yoshihiko, 2008. "Maximum empirical likelihood estimation of continuous-time models with conditional characteristic functions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 341-350.
    36. Xu, Ke-Li, 2020. "Inference of local regression in the presence of nuisance parameters," Journal of Econometrics, Elsevier, vol. 218(2), pages 532-560.
    37. Poirier, Alexandre, 2017. "Efficient estimation in models with independence restrictions," Journal of Econometrics, Elsevier, vol. 196(1), pages 1-22.
    38. Breunig, Christoph & Mammen, Enno & Simoni, Anna, 2018. "Nonparametric estimation in case of endogenous selection," Journal of Econometrics, Elsevier, vol. 202(2), pages 268-285.
    39. Chen, Song Xi & Cui, Hengjian, 2007. "On the second-order properties of empirical likelihood with moment restrictions," Journal of Econometrics, Elsevier, vol. 141(2), pages 492-516, December.
    40. Buchinsky, Moshe & Li, Fanghua & Liao, Zhipeng, 2022. "Estimation and inference of semiparametric models using data from several sources," Journal of Econometrics, Elsevier, vol. 226(1), pages 80-103.
    41. Chunrong Ai & Xiaohong Chen, 2009. "Semiparametric efficiency bound for models of sequential moment restrictions containing unknown functions," CeMMAP working papers CWP28/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    42. Nikolay Gospodinov & Taisuke Otsu, 2008. "Local GMM Estimation of Time Series Models with Conditional Moment Restrictions," Working Papers 08010, Concordia University, Department of Economics.
    43. Pascal Lavergne & Valentin Patilea, 2008. "One for All and All for One:Regression Checks With Many Regressors," Discussion Papers dp08-06, Department of Economics, Simon Fraser University.
    44. Parente, Paulo M.D.C. & Smith, Richard J., 2017. "Tests of additional conditional moment restrictions," Journal of Econometrics, Elsevier, vol. 200(1), pages 1-16.
    45. Chen, Xiaohong & Pouzo, Demian & Powell, James L., 2019. "Penalized sieve GEL for weighted average derivatives of nonparametric quantile IV regressions," Journal of Econometrics, Elsevier, vol. 213(1), pages 30-53.
    46. Taisuke Otsu & Yoon-Jae Whang, 2005. "Testing for Non-nested Conditional Moment Retrictions via Conditional Empirical Likelihood," Cowles Foundation Discussion Papers 1533, Cowles Foundation for Research in Economics, Yale University.
    47. Hsu, Shih-Hsun & Kuan, Chung-Ming, 2011. "Estimation of conditional moment restrictions without assuming parameter identifiability in the implied unconditional moments," Journal of Econometrics, Elsevier, vol. 165(1), pages 87-99.
    48. Naoya Sueishi, 2015. "A Simple Derivation of the Efficiency Bound for Conditional Moment Restriction Models," Discussion Papers 1531, Graduate School of Economics, Kobe University.
    49. Carrasco, Marine, 2012. "A regularization approach to the many instruments problem," Journal of Econometrics, Elsevier, vol. 170(2), pages 383-398.
    50. Breunig, Christoph, 2012. "Goodness-of-fit tests based on series estimators in nonparametric instrumental regression," Working Papers 12-13, University of Mannheim, Department of Economics.
    51. Wang, Xuexin, 2015. "A Note on Consistent Conditional Moment Tests," MPRA Paper 69005, University Library of Munich, Germany.
    52. Gold, David & Lederer, Johannes & Tao, Jing, 2020. "Inference for high-dimensional instrumental variables regression," Journal of Econometrics, Elsevier, vol. 217(1), pages 79-111.
    53. Chen, Xiaohong, 2007. "Large Sample Sieve Estimation of Semi-Nonparametric Models," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 76, Elsevier.
    54. Paulo Parente & Richard Smith, 2012. "Exogeneity in semiparametric moment condition models," CeMMAP working papers CWP30/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    55. Berger, Yves G. & Patilea, Valentin, 2022. "A semi-parametric empirical likelihood approach for conditional estimating equations under endogenous selection," Econometrics and Statistics, Elsevier, vol. 24(C), pages 151-163.
    56. Richard Spady & Sami Stouli, 2012. "Dual Regression," Papers 1210.6958, arXiv.org, revised Sep 2018.
    57. Russell Davidson & Victoria Zinde-Walsh, 2017. "Advances in specification testing," Canadian Journal of Economics, Canadian Economics Association, vol. 50(5), pages 1595-1631, December.
    58. Hahn, Jinyong & Newey, Whitney K. & Smith, Richard J., 2014. "Neglected heterogeneity in moment condition models," Journal of Econometrics, Elsevier, vol. 178(P1), pages 86-100.
    59. Richard Smith, 2005. "Efficient information theoretic inference for conditional moment restrictions," CeMMAP working papers CWP14/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    60. Pierre Chaussé, 2011. "Generalized empirical likelihood for a continuum of moment conditions," Working Papers 1104, University of Waterloo, Department of Economics, revised Oct 2011.
    61. Tomohiro Ando & Naoya Sueishi, 2019. "On the Convergence Rate of the SCAD-Penalized Empirical Likelihood Estimator," Econometrics, MDPI, vol. 7(1), pages 1-14, March.
    62. Stefan Boes, 2010. "Count Data Models with Correlated Unobserved Heterogeneity," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 37(3), pages 382-402, September.
    63. Zhipeng Liao & Xiaoxia Shi, 2020. "A nondegenerate Vuong test and post selection confidence intervals for semi/nonparametric models," Quantitative Economics, Econometric Society, vol. 11(3), pages 983-1017, July.
    64. Pierre Chausse & George Luta, 2017. "Casual Inference using Generalized Empirical Likelihood Methods," Working Papers 1707, University of Waterloo, Department of Economics, revised Dec 2017.
    65. Krikamol Muandet & Wittawat Jitkrittum & Jonas Kubler, 2020. "Kernel Conditional Moment Test via Maximum Moment Restriction," Papers 2002.09225, arXiv.org, revised Jun 2020.
    66. Ying Sheng & Yifei Sun & Chiung‐Yu Huang & Mi‐Ok Kim, 2022. "Synthesizing external aggregated information in the presence of population heterogeneity: A penalized empirical likelihood approach," Biometrics, The International Biometric Society, vol. 78(2), pages 679-690, June.
    67. Otsu, Taisuke, 2008. "Conditional empirical likelihood estimation and inference for quantile regression models," Journal of Econometrics, Elsevier, vol. 142(1), pages 508-538, January.
    68. Pascal Lavergne & Valentin Patilea, 2006. "Breaking the Curse of Dimensionality in Nonparametric Testing," Working Papers 2006-24, Center for Research in Economics and Statistics.
    69. Lu, Zhentong & Shi, Xiaoxia & Tao, Jing, 2023. "Semi-nonparametric estimation of random coefficients logit model for aggregate demand," Journal of Econometrics, Elsevier, vol. 235(2), pages 2245-2265.
    70. Donald, Stephen G. & Imbens, Guido W. & Newey, Whitney K., 2009. "Choosing instrumental variables in conditional moment restriction models," Journal of Econometrics, Elsevier, vol. 152(1), pages 28-36, September.
    71. Fan, Jianqing & Liao, Yuan, 2012. "Endogeneity in ultrahigh dimension," MPRA Paper 38698, University Library of Munich, Germany.
    72. Marine Carrasco & Mohamed Doukali, 2022. "Testing overidentifying restrictions with many instruments and heteroscedasticity using regularised jackknife IV [Specification testing in models with many instruments]," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 71-97.
    73. Jiafeng Chen & Xiaohong Chen & Elie Tamer, 2021. "Efficient Estimation in NPIV Models: A Comparison of Various Neural Networks-Based Estimators," Papers 2110.06763, arXiv.org, revised Oct 2022.
    74. Yoonseok Lee & Ryo Okui, 2009. "A Specification Test for Instrumental Variables Regression with Many Instruments," Cowles Foundation Discussion Papers 1741, Cowles Foundation for Research in Economics, Yale University.
    75. Dovonon, Prosper, 2008. "Large sample properties of the three-step euclidean likelihood estimators under model misspecification," MPRA Paper 40025, University Library of Munich, Germany, revised 16 May 2010.
    76. Xiaohong Chen & David Jacho-Chávez & Oliver Linton, 2012. "Averaging of moment condition estimators," CeMMAP working papers CWP26/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    77. Ivan Korolev, 2018. "A Consistent Heteroskedasticity Robust LM Type Specification Test for Semiparametric Models," Papers 1810.07620, arXiv.org, revised Nov 2019.
    78. Kohtaro Hitomi & Masamune Iwasawa & Yoshihiko Nishiyama, 2018. "Rate Optimal Specification Test When the Number of Instruments is Large," KIER Working Papers 986, Kyoto University, Institute of Economic Research.
    79. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    80. Antoine, Bertille & Bonnal, Helene & Renault, Eric, 2007. "On the efficient use of the informational content of estimating equations: Implied probabilities and Euclidean empirical likelihood," Journal of Econometrics, Elsevier, vol. 138(2), pages 461-487, June.
    81. Richard Smith, 2005. "Local GEL methods for conditional moment restrictions," CeMMAP working papers CWP15/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    82. Demian Pouzo, 2014. "Bootstrap Consistency for Quadratic Forms of Sample Averages with Increasing Dimension," Papers 1411.2701, arXiv.org, revised Aug 2015.
    83. Nishihat, Masaya & Otsu, Taisuke, 2020. "Conditional GMM estimation for gravity models," LSE Research Online Documents on Economics 105083, London School of Economics and Political Science, LSE Library.
    84. Lewbel, Arthur, 2007. "A local generalized method of moments estimator," Economics Letters, Elsevier, vol. 94(1), pages 124-128, January.
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    86. Gupta, A, 2015. "Nonparametric specification testing via the trinity of tests," Economics Discussion Papers 23824, University of Essex, Department of Economics.
    87. Jin, Fei & Lee, Lung-fei, 2019. "GEL estimation and tests of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 208(2), pages 585-612.
    88. Joel L. Horowitz, 2004. "Testing a parametric model against a nonparametric alternative with identification through instrumental variables," CeMMAP working papers 14/04, Institute for Fiscal Studies.
    89. Matthew Backus & Christopher Conlon & Michael Sinkinson, 2021. "Common Ownership and Competition in the Ready-to-Eat Cereal Industry," NBER Working Papers 28350, National Bureau of Economic Research, Inc.
    90. Paulo Parente & Richard Smith, 2012. "Exogeneity in semiparametric moment condition models," CeMMAP working papers 30/12, Institute for Fiscal Studies.
    91. Stefan Boes, 2007. "Count Data Models with Unobserved Heterogeneity: An Empirical Likelihood Approach," SOI - Working Papers 0704, Socioeconomic Institute - University of Zurich.

  12. Garry F. Barrett & Stephen G. Donald, 2003. "Consistent Tests for Stochastic Dominance," Econometrica, Econometric Society, vol. 71(1), pages 71-104, January.

    Cited by:

    1. Linton, Oliver & Maasoumi, Esfandiar & Whang, Yoon-Jae, 2002. "Consistent testing for stochastic dominance: a subsampling approach," LSE Research Online Documents on Economics 24927, London School of Economics and Political Science, LSE Library.
    2. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019. "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 95-113.
    3. Yu-Chin Hsu & Ta-Cheng Huang & Haiqing Xu, 2018. "Testing for Unobserved Heterogeneous Treatment Effects with Observational Data," Papers 1803.07514, arXiv.org, revised Aug 2021.
    4. Vivek Dehejia & Marcel Voia, 2008. "International Income Comparisons and Location Choice: Methodology, Analysis, and Implications," Carleton Economic Papers 08-02, Carleton University, Department of Economics.
    5. Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2021. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP16/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Kwame Addae‐Dapaah & Wilfred Tan Yong Hwee, 2009. "The unsung impact of currency risk on the performance of international real property investment," Review of Financial Economics, John Wiley & Sons, vol. 18(1), pages 56-65, January.
    7. Chakrabarty, Manisha & Hildenbrand, Werner, 2009. "Engel’s Law Reconsidered," Bonn Econ Discussion Papers 22/2009, University of Bonn, Bonn Graduate School of Economics (BGSE).
    8. Brock,W.A. & Durlauf,S.N., 2004. "Identification of binary choice models with social interactions," Working papers 2, Wisconsin Madison - Social Systems.
    9. Guo, Xu & Wong, Wing-Keung & Zhu, Lixing, 2013. "Make Almost Stochastic Dominance really Almost," MPRA Paper 49745, University Library of Munich, Germany.
    10. Gabriela Flores & Owen O'Donnell, 2013. "Catastrophic Medical Expenditure Risk," CESifo Working Paper Series 4198, CESifo.
    11. David M. Kaplan & Longhao Zhuo, 2019. "Comparing latent inequality with ordinal data," Working Papers 1909, Department of Economics, University of Missouri.
    12. Teresa Ledwina & Grzegorz Wyłupek, 2012. "Nonparametric tests for stochastic ordering," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(4), pages 730-756, December.
    13. Vance Martin & G.C. Lim & Esfandiar Maasoumi, 2004. "Discounting The Equity Premium Puzzle," Econometric Society 2004 Australasian Meetings 331, Econometric Society.
    14. Canepa, Alessandra & de la O. González, María & Skinner, Frank S., 2019. "Hedge Fund Strategies: A non-Parametric Analysis," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201902, University of Turin.
    15. Lean, H.H. & McAleer, M.J. & Wong, W.-K., 2013. "Risk-averse and Risk-seeking Investor Preferences for Oil Spot and Futures," Econometric Institute Research Papers EI 2013-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. Lean, Hooi-Hooi & Wong, Wing-Keung & Zhang, Xibin, 2008. "The sizes and powers of some stochastic dominance tests: A Monte Carlo study for correlated and heteroskedastic distributions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(1), pages 30-48.
    17. Wen-Hao Chen & Jean-Yves Duclos, 2009. "Testing for poverty dominance: an application to Canada," Working Papers 379, Barcelona School of Economics.
    18. Duangkamon Chotikapanich & William E. Griffiths, 2008. "Estimating Income Distributions Using a Mixture of Gamma Densities," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Duangkamon Chotikapanich (ed.), Modeling Income Distributions and Lorenz Curves, chapter 16, pages 285-302, Springer.
    19. Daniel Sotelsek-Salem & Ismael Ahamdanech-Zarco & John Bishop, 2012. "Dominance testing for ‘pro-poor’ growth with an application to European growth," Empirical Economics, Springer, vol. 43(2), pages 723-739, October.
    20. Raphael Bergoeing & Andrea Repetto, 2006. "Micro Efficiency and Aggregate Growth in Chile," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 43(127), pages 169-192.
    21. Härdle, Wolfgang Karl & Schulz, Rainer & Xie, Taojun, 2019. "Cooling Measures and Housing Wealth: Evidence from Singapore," IRTG 1792 Discussion Papers 2019-001, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    22. Patrick Kline & Melissa Tartari, 2016. "Bounding the Labor Supply Responses to a Randomized Welfare Experiment: A Revealed Preference Approach," American Economic Review, American Economic Association, vol. 106(4), pages 972-1014, April.
    23. Thomas C. Chiang & Hooi Hooi Lean & Wing-Keung Wong, 2008. "Do REITs Outperform Stocks and Fixed-Income Assets? New Evidence from Mean-Variance and Stochastic Dominance Approaches," JRFM, MDPI, vol. 1(1), pages 1-40, December.
    24. Chang, Chia-Lin & Jiménez-Martín, Juan-Ángel & Maasoumi, Esfandiar & Pérez-Amaral, Teodosio, 2015. "A stochastic dominance approach to financial risk management strategies," Journal of Econometrics, Elsevier, vol. 187(2), pages 472-485.
    25. Post, Thierry & Kopa, Miloš, 2013. "Aggregate investor preferences and beliefs: A comment," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 187-190.
    26. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2010. "Investor Preferences for Oil Spot and Futures Based on Mean-Variance and Stochastic Dominance," Working Papers in Economics 10/22, University of Canterbury, Department of Economics and Finance.
    27. Ruhose, Jens & Parey, Matthias & Waldinger, Fabian & Netz, Nicolai, 2015. "The Selection of High-Skilled Migrants," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113148, Verein für Socialpolitik / German Economic Association.
    28. Rabah Arezki & Daniel Lederman & Hongyan Zhao, 2014. "The Relative Volatility of Commodity Prices: A Reappraisal," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(3), pages 939-951.
    29. Mekonnen Bersisa & Almas Heshmati, 2021. "A Distributional Analysis of Uni-and Multidimensional Poverty and Inequalities in Ethiopia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(3), pages 805-835, June.
    30. Hoang, Thi-Hong-Van & Wong, Wing-Keung & Zhu, Zhenzhen, 2015. "Is gold different for risk-averse and risk-seeking investors? An empirical analysis of the Shanghai Gold Exchange," Economic Modelling, Elsevier, vol. 50(C), pages 200-211.
    31. Addae-Dapaah, Kwame & Tan Yong Hwee, Wilfred, 2009. "The unsung impact of currency risk on the performance of international real property investment," Review of Financial Economics, Elsevier, vol. 18(1), pages 56-65, January.
    32. Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2012. "Inference on counterfactual distributions," CeMMAP working papers 05/12, Institute for Fiscal Studies.
    33. Canepa, Alessandra & Chersoni, Giulia & Fontana, Magda, 2023. "The role of environmental and financial motivations in the adoption of energy-saving technologies: Evidence from European Union data," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 1-14.
    34. Hossein Hassani & Emmanuel Sirimal Silva, 2015. "A Kolmogorov-Smirnov Based Test for Comparing the Predictive Accuracy of Two Sets of Forecasts," Econometrics, MDPI, vol. 3(3), pages 1-20, August.
    35. Jesus Gonzalo & Jose Olmo, 2014. "Conditional Stochastic Dominance Tests In Dynamic Settings," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(3), pages 819-838, August.
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  13. Donald, Stephen G. & Paarsch, Harry J., 2002. "Superconsistent estimation and inference in structural econometric models using extreme order statistics," Journal of Econometrics, Elsevier, vol. 109(2), pages 305-340, August.

    Cited by:

    1. Li, Tong, 2010. "Indirect inference in structural econometric models," Journal of Econometrics, Elsevier, vol. 157(1), pages 120-128, July.
    2. Hickman Brent R. & Hubbard Timothy P. & Sağlam Yiğit, 2012. "Structural Econometric Methods in Auctions: A Guide to the Literature," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 67-106, August.
    3. Leonardo Rezende, 2008. "Econometrics of auctions by least squares," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(7), pages 925-948.
    4. Victor Chernozhukov & Iván Fernández-Val, 2011. "Inference for Extremal Conditional Quantile Models, with an Application to Market and Birthweight Risks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(2), pages 559-589.
    5. Harry J. Paarsch & Bjarne Brendstrup, 2004. "Nonparametric Identification and Estimation of Multi-Unit, Sequential, Oral, Ascending-Price Auctions with Asymmetric Bidders," Econometric Society 2004 Latin American Meetings 2, Econometric Society.
    6. Brendstrup, Bjarne & Paarsch, Harry J., 2007. "Semiparametric identification and estimation in multi-object, English auctions," Journal of Econometrics, Elsevier, vol. 141(1), pages 84-108, November.
    7. Zheng, Xiaoyong, 2009. "Quantifying the cost of excess market thickness in timber sale auctions," International Journal of Industrial Organization, Elsevier, vol. 27(5), pages 553-566, September.
    8. Roussille, Nina & Scuderi, Benjamin, 2023. "Bidding for Talent: A Test of Conduct in a High-Wage Labor Market," IZA Discussion Papers 16352, Institute of Labor Economics (IZA).
    9. Zhou, Haiming & Huang, Xianzheng, 2022. "Bayesian beta regression for bounded responses with unknown supports," Computational Statistics & Data Analysis, Elsevier, vol. 167(C).
    10. Li, Tong, 2009. "Simulation based selection of competing structural econometric models," Journal of Econometrics, Elsevier, vol. 148(2), pages 114-123, February.
    11. Hubbard, Timothy P. & Li, Tong & Paarsch, Harry J., 2012. "Semiparametric estimation in models of first-price, sealed-bid auctions with affiliation," Journal of Econometrics, Elsevier, vol. 168(1), pages 4-16.
    12. Brendstrup, Bjarne & Paarsch, Harry J., 2006. "Identification and estimation in sequential, asymmetric, English auctions," Journal of Econometrics, Elsevier, vol. 134(1), pages 69-94, September.
    13. Knight, Keith, 2003. "Asymptotic theory for M-estimators of boundaries," SFB 373 Discussion Papers 2003,37, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    14. Kumbhakar, Subal C. & Parmeter, Christopher F. & Tsionas, Efthymios G., 2012. "Bayesian estimation approaches to first-price auctions," Journal of Econometrics, Elsevier, vol. 168(1), pages 47-59.
    15. Sağlam, Yiğit, 2012. "Structural Econometric Methods in Auctions: A Guide to the Literature," Working Paper Series 19224, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    16. Harry J. Paarsch & Bjarne Brendstrup, 2004. "Nonparametric Estimation of Dutch and First-Price, Sealed-Bid Auction Models with Asymmetric Bidders," Econometric Society 2004 North American Summer Meetings 39, Econometric Society.

  14. Donald, Stephen G & Newey, Whitney K, 2001. "Choosing the Number of Instruments," Econometrica, Econometric Society, vol. 69(5), pages 1161-1191, September.
    See citations under working paper version above.
  15. Donald, Stephen G. & Newey, Whitney K., 2000. "A jackknife interpretation of the continuous updating estimator," Economics Letters, Elsevier, vol. 67(3), pages 239-243, June.

    Cited by:

    1. Favero, Carlo A. & Consolo, Agostino, 2009. "Monetary Policy Inertia: More a Fiction than a fact?," CEPR Discussion Papers 7341, C.E.P.R. Discussion Papers.
    2. Patrik Guggenberger, 2005. "Monte-carlo evidence suggesting a no moment problem of the continuous updating estimator," Economics Bulletin, AccessEcon, vol. 3(13), pages 1-6.
    3. Richard A. Ashley & Xiaojin Sun, 2016. "Subset-Continuous-Updating GMM Estimators for Dynamic Panel Data Models," Econometrics, MDPI, vol. 4(4), pages 1-13, November.
    4. Whitney K. Newey & Frank Windmeijer, 2005. "GMM with many weak moment conditions," CeMMAP working papers CWP18/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Bekker, Paul A. & Crudu, Federico, 2015. "Jackknife instrumental variable estimation with heteroskedasticity," Journal of Econometrics, Elsevier, vol. 185(2), pages 332-342.
    6. Andrew Chia, 2021. "Automatically Differentiable Random Coefficient Logistic Demand Estimation," Papers 2106.04636, arXiv.org.
    7. Todd, Prono, 2009. "Simple, Skewness-Based GMM Estimation of the Semi-Strong GARCH(1,1) Model," MPRA Paper 30994, University Library of Munich, Germany, revised 30 Jul 2011.
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    1. Nikolay Gospodinov & Raymond Kan & Cesare Robotti, 2017. "Too Good to Be True? Fallacies in Evaluating Risk Factor Models," FRB Atlanta Working Paper 2017-9, Federal Reserve Bank of Atlanta.
    2. GUO-FITOUSSI, Liang, 2013. "A Comparison of the Finite Sample Properties of Selection Rules of Factor Numbers in Large Datasets," MPRA Paper 50005, University Library of Munich, Germany.
    3. Claudio Morana, 2014. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks," Working Papers 273, University of Milano-Bicocca, Department of Economics, revised May 2014.
    4. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2012. "Can the Fed talk the Hind Legs off the Stock Market? (replaces CentER DP 2011-072)," Other publications TiSEM 347a970d-4a05-416f-a351-1, Tilburg University, School of Economics and Management.
    5. Nikolay Gospodinov & Raymond Kan & Cesare Robotti, 2018. "Asymptotic variance approximations for invariant estimators in uncertain asset-pricing models," Econometric Reviews, Taylor & Francis Journals, vol. 37(7), pages 695-718, August.
    6. Jean-Yves Pitarakis, 2004. "Model Selection Uncertainty and Detection of Threshold Effecs," Econometrics 0409013, University Library of Munich, Germany.
    7. Manuel Arellano & Lars Peter Hansen & Enrique Sentana, 2009. "Underidentification? (Resumen)," Working Papers wp2009_0905, CEMFI.
    8. Rosa, Carlo, 2011. "The high-frequency response of exchange rates to monetary policy actions and statements," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 478-489, February.
    9. Lex Borghans & Angela Lee Duckworth & James J. Heckman & Bas ter Weel, 2008. "The Economics and Psychology of Personality Traits," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    10. Hiroyuki Kubota & Mototsugu Shintani, 2022. "High-frequency identification of monetary policy shocks in Japan," The Japanese Economic Review, Springer, vol. 73(3), pages 483-513, July.
    11. Li, Hongjun & Li, Qi & Shi, Yutang, 2017. "Determining the number of factors when the number of factors can increase with sample size," Journal of Econometrics, Elsevier, vol. 197(1), pages 76-86.
    12. Eric T. Swanson, 2017. "Measuring the Effects of Federal Reserve Forward Guidance and Asset Purchases on Financial Markets," NBER Working Papers 23311, National Bureau of Economic Research, Inc.
    13. Brand, Claus & Turunen, Jarkko & Buncic, Daniel, 2006. "The impact of ECB monetary policy decisions and communication on the yield curve," Working Paper Series 657, European Central Bank.
    14. Arthur Lewbel, 2012. "Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 67-80.
    15. Frank Windmeijer, 2018. "Testing Over- and Underidentification in Linear Models, with Applications to Dynamic Panel Data and Asset-Pricing Models," Bristol Economics Discussion Papers 18/696, School of Economics, University of Bristol, UK.
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    Cited by:

    1. Koenker, Roger & Machado, Jose A. F., 1999. "GMM inference when the number of moment conditions is large," Journal of Econometrics, Elsevier, vol. 93(2), pages 327-344, December.
    2. Zhang, Xibin & King, Maxwell L. & Hyndman, Rob J., 2006. "A Bayesian approach to bandwidth selection for multivariate kernel density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 3009-3031, July.
    3. GUO-FITOUSSI, Liang, 2013. "A Comparison of the Finite Sample Properties of Selection Rules of Factor Numbers in Large Datasets," MPRA Paper 50005, University Library of Munich, Germany.
    4. Panayiota Lyssiotou, 2003. "On estimating the cost of characteristics indices from consumer demand analysis," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(2), pages 326-349, May.
    5. Panayiota Lyssiotou & Panos Pashardes & Thanasis Stengos, 2007. "Demographic vs Expenditure Flexibility in Engel Curves," Working Paper series 22_07, Rimini Centre for Economic Analysis.
    6. Thomas F. Crossley & Hamish W. Low, 2005. "Unexploited Connections Between Intra- and Inter-temporal Allocation," Social and Economic Dimensions of an Aging Population Research Papers 131, McMaster University.
    7. Li, Hongjun & Li, Qi & Shi, Yutang, 2017. "Determining the number of factors when the number of factors can increase with sample size," Journal of Econometrics, Elsevier, vol. 197(1), pages 76-86.
    8. Natercia Fortuna, 2004. "Local rank tests in a multivariate nonparametric relationship," Econometric Society 2004 North American Summer Meetings 446, Econometric Society.
    9. Unayama, Takashi, 2004. "Upward bias in the consumer price index under the zero-inflation economy," Economics Letters, Elsevier, vol. 85(1), pages 139-144, October.
    10. Kemal Bagzibagli, 2012. "Monetary Transmission Mechanism and Time Variation in the Euro Area," Discussion Papers 12-12, Department of Economics, University of Birmingham.
    11. Rob L. Hyndman & Xibin Zhang & Maxwell L. King,, 2004. "Bandwidth Selection for Multivariate Kernel Density Estimation Using MCMC," Econometric Society 2004 Australasian Meetings 120, Econometric Society.
    12. Dergiades, Theologos & Milas, Costas & Panagiotidis, Theodore, 2022. "Unemployment claims during COVID-19 and economic support measures in the U.S," Economic Modelling, Elsevier, vol. 113(C).
    13. Xibin Zhang & Robert D. Brooks & Maxwell L. King, 2007. "A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation," Monash Econometrics and Business Statistics Working Papers 11/07, Monash University, Department of Econometrics and Business Statistics.
    14. Li, Qi & Hsiao, Cheng & Zinn, Joel, 2003. "Consistent specification tests for semiparametric/nonparametric models based on series estimation methods," Journal of Econometrics, Elsevier, vol. 112(2), pages 295-325, February.
    15. Arthur Lewbel, 2000. "A Rational Rank Four Demand System," Boston College Working Papers in Economics 463, Boston College Department of Economics, revised 04 Apr 2003.
    16. Chihwa Kao & Lorenzo Trapani & Giovanni Urga, 2006. "Asymptotics for panel models with common shocks," Working Papers 0615, Department of Management, Information and Production Engineering, University of Bergamo.
    17. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    18. Pian Chen & Aaron Smith, 2013. "The nonlinear multidimensional relationship between stock returns and the macroeconomy," Applied Economics, Taylor & Francis Journals, vol. 45(35), pages 4985-4999, December.
    19. Keith R. McLaren & Ou Yang, 2014. "A Class of Demand Systems Satisfying Global Regularity and Having Complete Rank Flexibility," Monash Econometrics and Business Statistics Working Papers 6/14, Monash University, Department of Econometrics and Business Statistics.
    20. Stephen G. Donald & Natércia Fortuna & Vladas Pipiras, 2005. "Local and global rank tests for multivariate varying-coefficient models," FEP Working Papers 196, Universidade do Porto, Faculdade de Economia do Porto.
    21. Barigozzi, Matteo & Moneta, Alessio, 2016. "Identifying the independent sources of consumption variation," LSE Research Online Documents on Economics 60979, London School of Economics and Political Science, LSE Library.
    22. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    23. Carlo Russo, 2012. "Estimating Market Power with Weak A Priori Information: An Exploratory Approach to the Model-Specification Problem," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 40(4), pages 339-354, June.
    24. Jeffrey Racine, 2008. "Nonparametric econometrics: a primer (in Russian)," Quantile, Quantile, issue 4, pages 7-56, March.
    25. Stephen G. Donald & Natércia Fortuna & Vladas Pipiras, 2005. "On rank estimation in symmetric matrices: the case of indefinite matrix estimators," FEP Working Papers 167, Universidade do Porto, Faculdade de Economia do Porto.
    26. Horowitz, Joel L. & Savin, N. E., 2000. "Empirically relevant critical values for hypothesis tests: A bootstrap approach," Journal of Econometrics, Elsevier, vol. 95(2), pages 375-389, April.
    27. Tata Subba Rao & Granville Tunnicliffe Wilson & Ngai Hang Chan & Ye Lu & Chun Yip Yau, 2017. "Factor Modelling for High-Dimensional Time Series: Inference and Model Selection," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(2), pages 285-307, March.
    28. Gonzalo Camba-Mendez & George Kapetanios, 2005. "Statistical Tests of the Rank of a Matrix and Their Applications in Econometric Modelling," Working Papers 541, Queen Mary University of London, School of Economics and Finance.
    29. Takashi Unayama, 2006. "The Engel curve for alcohol and the rank of demand systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 1019-1038, November.
    30. Lyssiotou, Panayiota & Pashardes, Panos & Stengos, Thanasis, 1999. "Testing the rank of Engel curves with endogenous expenditure," Economics Letters, Elsevier, vol. 64(1), pages 61-65, July.

  18. Donald, Stephen G & Sappington, David E M, 1997. "Choosing among Regulatory Options in the United States Telecommunications Industry," Journal of Regulatory Economics, Springer, vol. 12(3), pages 227-243, November.

    Cited by:

    1. Carmine Guerriero, 2008. "The Political Economy of Incentive Regulation: Theory and Evidence from US States," Working Papers 2008.34, Fondazione Eni Enrico Mattei.
    2. Anna Ter-Martirosyan & John Kwoka, 2010. "Incentive regulation, service quality, and standards in U.S. electricity distribution," Journal of Regulatory Economics, Springer, vol. 38(3), pages 258-273, December.
    3. Wang, Hongwei & Wu, Wenqing & Zheng, Shilin, 2011. "An econometric analysis of private sector participation in China’s urban water supply," Utilities Policy, Elsevier, vol. 19(3), pages 134-141.
    4. Ingo Vogelsang, 2014. "Will the U.S. and EU Telecommunications Policies Converge? A Survey," CESifo Working Paper Series 4843, CESifo.
    5. James E. Prieger, 2005. "Endogenous Regulatory Delay and the Timing of Product Innovation," Working Papers 86, University of California, Davis, Department of Economics.
    6. Duso, Tomaso & Roller, Lars-Hendrik, 2003. "Endogenous deregulation: evidence from OECD countries," Economics Letters, Elsevier, vol. 81(1), pages 67-71, October.
    7. Dewenter, Ralf & Kruse, Jörn, 2010. "Calling party pays or receiving party pays? The diffusion of mobile telephony with endogenous regulation," DICE Discussion Papers 10, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    8. Gaggero, Alberto A., 2007. "Regulatory risk in the utilities industry: An empirical study of the English-speaking countries," Utilities Policy, Elsevier, vol. 15(3), pages 191-205, September.
    9. Tomaso Duso & Lars-Hendrik Röller, 2001. "Towards a Political Economy of Industrial Organization: Empirical Regularities from Deregulation," CIG Working Papers FS IV 01-17, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
    10. Abel, Jaison R, 2002. "Entry into Regulated Monopoly Markets: The Development of a Competitive Fringe in the Local Telephone Industry," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 289-316, October.
    11. Jaison Abel & Michael Clements, 2001. "Entry under Asymmetric Regulation," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 19(2), pages 227-242, September.
    12. Michael Schmidthaler & Jed Cohen & Johannes Reichl & Stefan Schmidinger, 2015. "The effects of network regulation on electricity supply security: a European analysis," Journal of Regulatory Economics, Springer, vol. 48(3), pages 285-316, December.
    13. Berg, Sanford V. & Jiang, Liangliang & Lin, Chen, 2011. "Incentives for cost shifting and misreporting: US rural universal service subsidies, 1991–2002," Information Economics and Policy, Elsevier, vol. 23(3), pages 287-295.
    14. Andrade, Tiago, 2014. "The impact of regulation, privatization and competition on gas infrastructure investments," Energy, Elsevier, vol. 69(C), pages 82-85.
    15. James E. Prieger, 2003. "The Timing of Product Innovation and Regulatory Delay," Working Papers 48, University of California, Davis, Department of Economics.
    16. Weisman, Dennis L., 2002. "Is there 'Hope' for price cap regulation?," Information Economics and Policy, Elsevier, vol. 14(3), pages 349-370, September.
    17. James Prieger, 2008. "Product innovation, signaling, and endogenous regulatory delay," Journal of Regulatory Economics, Springer, vol. 34(2), pages 95-118, October.
    18. Ricardo Paredes, 2002. "A further step to deregulation, or the risk to destroy the incumbent: Chile’s Local Telephony Market," Working Papers wp194, University of Chile, Department of Economics.
    19. Kevin Currier, 2004. "Natural monopoly regulation in the presence of cost misreporting," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 32(1), pages 49-61, March.

  19. Donald, Stephen G. & Paarsch, Harry J., 1996. "Identification, Estimation, and Testing in Parametric Empirical Models of Auctions within the Independent Private Values Paradigm," Econometric Theory, Cambridge University Press, vol. 12(3), pages 517-567, August.

    Cited by:

    1. Donna, Javier & Espin-Sanchez, Jose, 2014. "Complements and Substitutes in Sequential Auctions: The Case of Water Auctions," MPRA Paper 55079, University Library of Munich, Germany.
    2. Erwann SbaÏ & Olivier Armantier, 2006. "Estimation and comparison of treasury auction formats when bidders are asymmetric," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 745-779.
    3. James J. Heckman, 2001. "Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 673-748, August.
    4. Sareen, Samita, 2003. "Reference Bayesian inference in nonregular models," Journal of Econometrics, Elsevier, vol. 113(2), pages 265-288, April.
    5. Vukina, Tomislav & Zheng, Xiaoyong & Marra, Michele & Levy, Armando, 2008. "Do farmers value the environment? Evidence from a conservation reserve program auction," International Journal of Industrial Organization, Elsevier, vol. 26(6), pages 1323-1332, November.
    6. Gorbenko, Alexander S., 2019. "How do valuations impact outcomes of asset sales with heterogeneous bidders?," Journal of Financial Economics, Elsevier, vol. 131(1), pages 88-117.
    7. Florencia Gabrielli, 2014. "Econometrics of First Price Auctions: a Survey of the Theoretical and Applied Literature," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 60, pages 77-118, January-D.
    8. Véronique Flambard & Pierre Lasserre & Pierre Mohnen, 2007. "Snow removal auctions in Montreal: costs, informational rents, and procurement management," Canadian Journal of Economics, Canadian Economics Association, vol. 40(1), pages 245-277, February.
    9. Donald, Stephen G. & Paarsch, Harry J., 2002. "Superconsistent estimation and inference in structural econometric models using extreme order statistics," Journal of Econometrics, Elsevier, vol. 109(2), pages 305-340, August.
    10. Florens, Jean-Pierre & Sbaï, Erwann, 2010. "Local Identification In Empirical Games Of Incomplete Information," Econometric Theory, Cambridge University Press, vol. 26(6), pages 1638-1662, December.
    11. Jose Canals-Cerda, 2005. "Congestion Pricing in an Internet Market," Working Papers 05-10, NET Institute, revised Sep 2005.
    12. A. Banerji, 2010. "Millers, Commission Agents and Collusion in Grain Auction Markets: Evidence From Basmati Auctions in North India," Working Papers id:2891, eSocialSciences.
    13. Li, Tong, 2010. "Indirect inference in structural econometric models," Journal of Econometrics, Elsevier, vol. 157(1), pages 120-128, July.
    14. Patrick Bajari & Ali Hortacsu, 2003. "Are Structural Estimates of Auction Models Reasonable? Evidence from Experimental Data," NBER Working Papers 9889, National Bureau of Economic Research, Inc.
    15. Haile,P.A. & Tamer,E.T., 2000. "Inference with an incomplete model of English auctions," Working papers 18, Wisconsin Madison - Social Systems.
    16. Hickman Brent R. & Hubbard Timothy P. & Sağlam Yiğit, 2012. "Structural Econometric Methods in Auctions: A Guide to the Literature," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 67-106, August.
    17. Philippe Février, 2008. "Nonparametric identification and estimation of a class of common value auction models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(7), pages 949-964.
    18. Hong, Han & Shum, Matthew, 2003. "Econometric models of asymmetric ascending auctions," Journal of Econometrics, Elsevier, vol. 112(2), pages 327-358, February.
    19. Lorentziadis, Panos L., 2016. "Optimal bidding in auctions from a game theory perspective," European Journal of Operational Research, Elsevier, vol. 248(2), pages 347-371.
    20. Harry J. Paarsch & Bjarne Brendstrup, 2004. "Nonparametric Identification and Estimation of Multi-Unit, Sequential, Oral, Ascending-Price Auctions with Asymmetric Bidders," Econometric Society 2004 Latin American Meetings 2, Econometric Society.
    21. Brendstrup, Bjarne & Paarsch, Harry J., 2007. "Semiparametric identification and estimation in multi-object, English auctions," Journal of Econometrics, Elsevier, vol. 141(1), pages 84-108, November.
    22. Zheng, Xiaoyong, 2009. "Quantifying the cost of excess market thickness in timber sale auctions," International Journal of Industrial Organization, Elsevier, vol. 27(5), pages 553-566, September.
    23. Klonner, Stefan, 2003. "Buying Fields and Marrying Daughters: An Empirical Analysis of Rosca Auctions in a South Indian Village," Center Discussion Papers 28449, Yale University, Economic Growth Center.
    24. Richard, Jean-François, 2000. "Conférence François-Albert Angers (1999). Enchères : théorie économique et réalité," L'Actualité Economique, Société Canadienne de Science Economique, vol. 76(2), pages 173-198, juin.
    25. Nathalie Gimenes, 2014. "Econometrics of Ascending Auctions by Quantile Regression," Working Papers, Department of Economics 2014_25, University of São Paulo (FEA-USP).
    26. Gerard J. van den Berg & Bas van der Klaauw, 2007. "If Winning isn't Everything, why do they keep Score? A Structural Empirical Analysis of Dutch Flower Auctions," Tinbergen Institute Discussion Papers 07-041/3, Tinbergen Institute.
    27. Timothy P. Hubbard & Rene Kirkegaard, 2015. "Asymmetric Auctions with More Than Two Bidders," Working Papers 1502, University of Guelph, Department of Economics and Finance.
    28. Li, Huagang & Riley, John G., 2007. "Auction choice," International Journal of Industrial Organization, Elsevier, vol. 25(6), pages 1269-1298, December.
    29. Shneyerov, Artyom & Wong, Adam Chi Leung, 2011. "Identification in first-price and Dutch auctions when the number of potential bidders is unobservable," Games and Economic Behavior, Elsevier, vol. 72(2), pages 574-582, June.
    30. Bikhchandani,S. & Haile,P.A. & Riley,J.G., 2000. "Symmetric separating equilibria in English auctions," Working papers 17R, Wisconsin Madison - Social Systems.
    31. Maria Florencia Gabrielli, 2023. "Econometrics of first Price Auctions: a Survey of the Theoretical and Applied Literature," Working Papers 252, Red Nacional de Investigadores en Economía (RedNIE).
    32. Li, Tong & Perrigne, Isabelle & Vuong, Quang, 2000. "Conditionally independent private information in OCS wildcat auctions," Journal of Econometrics, Elsevier, vol. 98(1), pages 129-161, September.
    33. Harry J. Paarsch & Stephen G. Donald & Jacques Robert, 2006. "An empirical model of the multi-unit, sequential, clock auction," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1221-1247.
    34. Li, Tong & Zheng, Xiaoyong, 2012. "Information acquisition and/or bid preparation: A structural analysis of entry and bidding in timber sale auctions," Journal of Econometrics, Elsevier, vol. 168(1), pages 29-46.
    35. Elena Krasnokutskaya, 2010. "Identification and Estimation of Auction Model with Two-Dimensional Unobserved Heterogeneity," PIER Working Paper Archive 10-036, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    36. Miravete, Eugenio, 2000. "Estimating Demand for Local Telephone Service with Asymmetric Information and Optional Calling Plans," CEPR Discussion Papers 2635, C.E.P.R. Discussion Papers.
    37. Chernomaz Kirill & Yoshimoto Hisayuki, 2020. "How Accurately Do Structural Asymmetric First-Price Auction Estimates Represent True Valuations?," Journal of Econometric Methods, De Gruyter, vol. 9(1), pages 1-19, January.
    38. Paul Pezanis-Christou & Andrés Romeu, 2018. "Structural Analysis of First-Price Auction Data: Insights from the Laboratory," School of Economics and Public Policy Working Papers 2018-08, University of Adelaide, School of Economics and Public Policy.
    39. Plott, Charles R. & Salmon, Timothy C., 2004. "The simultaneous, ascending auction: dynamics of price adjustment in experiments and in the UK3G spectrum auction," Journal of Economic Behavior & Organization, Elsevier, vol. 53(3), pages 353-383, March.
    40. Wayne-Roy Gayle & Jean Richard, 2008. "Numerical Solutions of Asymmetric, First-Price, Independent Private Values Auctions," Computational Economics, Springer;Society for Computational Economics, vol. 32(3), pages 245-278, October.
    41. Elena Krasnokutskaya, 2004. "Identification and Estimation in Highway Procurement Auctions under Unobserved Auction Heterogeneity," PIER Working Paper Archive 05-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    42. Yunhan Li & J. Scott Shonkwiler, 2021. "Assessing the Role of Ordering in Sequential English Auctions – Evidence from the Online Western Video Market Auction," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 90-105, January.
    43. A. Banerji & J. V. Meenakshi, 2004. "Millers, Commission Agents and Collusion in Grain Auction Markets: Evidence from Basmati Auctions in North India," Working papers 129, Centre for Development Economics, Delhi School of Economics.
    44. Joel L. Horowitz, 2018. "Bootstrap Methods in Econometrics," Papers 1809.04016, arXiv.org.
    45. Li, Tong, 2009. "Simulation based selection of competing structural econometric models," Journal of Econometrics, Elsevier, vol. 148(2), pages 114-123, February.
    46. Bierens, Herman J. & Song, Hosin, 2012. "Semi-nonparametric estimation of independently and identically repeated first-price auctions via an integrated simulated moments method," Journal of Econometrics, Elsevier, vol. 168(1), pages 108-119.
    47. Rui Fang & Xiaohu Li, 2017. "Nonparametric tests for strictly increasing virtual valuations," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(6), pages 1122-1136, April.
    48. James J. Heckman, 2005. "Micro Data, Heterogeneity and the Evaluation of Public Policy Part 2," The American Economist, Sage Publications, vol. 49(1), pages 16-44, March.
    49. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    50. Meenakshi, J.V. & Banerji, A., 2005. "The unsupportable support price: an analysis of collusion and government intervention in paddy auction markets in North India," Journal of Development Economics, Elsevier, vol. 76(2), pages 377-403, April.
    51. Philippe Février & Raphaële Preget & Michael Visser, 2002. "Econometrics of Share Auctions," Working Papers 2002-09, Center for Research in Economics and Statistics.
    52. Hubbard, Timothy P. & Li, Tong & Paarsch, Harry J., 2012. "Semiparametric estimation in models of first-price, sealed-bid auctions with affiliation," Journal of Econometrics, Elsevier, vol. 168(1), pages 4-16.
    53. Patrick Bajari & Han Hong & Minjung Park & Robert Town, 2011. "Regression Discontinuity Designs with an Endogenous Forcing Variable and an Application to Contracting in Health Care," NBER Working Papers 17643, National Bureau of Economic Research, Inc.
    54. Tong Li, 2005. "Econometrics of first-price auctions with entry and binding reservation prices," Journal of Econometrics, Elsevier, vol. 126(1), pages 173-200, May.
    55. A. Banerji & Neha Gupta, 2014. "Detection, Identification, and Estimation of Loss Aversion: Evidence from an Auction Experiment," American Economic Journal: Microeconomics, American Economic Association, vol. 6(1), pages 91-133, February.
    56. Philippe Février, 2007. "Nonparametric Identification and Estimation of a Common Value Auction Model," Working Papers 2007-22, Center for Research in Economics and Statistics.
    57. Yixin Lu & Alok Gupta & Wolfgang Ketter & Eric van Heck, 2019. "Dynamic Decision Making in Sequential Business-to-Business Auctions: A Structural Econometric Approach," Management Science, INFORMS, vol. 65(8), pages 3853-3876, August.
    58. Brendstrup, Bjarne & Paarsch, Harry J., 2006. "Identification and estimation in sequential, asymmetric, English auctions," Journal of Econometrics, Elsevier, vol. 134(1), pages 69-94, September.
    59. Andreea Enache & Jean-Pierre Florens, 2020. "Identification and Estimation in a Third-Price Auction Model," Post-Print hal-02929530, HAL.
    60. Xin An & Shulin Liu & Shuo Xu, 2011. "Piecewise Pseudo-Maximum Likelihood Estimation for Risk Aversion Case in First-Price Sealed-Bid Auction," Computational Economics, Springer;Society for Computational Economics, vol. 38(4), pages 439-463, November.
    61. Kumbhakar, Subal C. & Parmeter, Christopher F. & Tsionas, Efthymios G., 2012. "Bayesian estimation approaches to first-price auctions," Journal of Econometrics, Elsevier, vol. 168(1), pages 47-59.
    62. Sağlam, Yiğit, 2012. "Structural Econometric Methods in Auctions: A Guide to the Literature," Working Paper Series 19224, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    63. Harry J. Paarsch & Bjarne Brendstrup, 2004. "Nonparametric Estimation of Dutch and First-Price, Sealed-Bid Auction Models with Asymmetric Bidders," Econometric Society 2004 North American Summer Meetings 39, Econometric Society.
    64. Enache, Andreea & Florens, Jean-Pierre, 2019. "Identification and Estimation in a Third-Price Auction Model," TSE Working Papers 19-989, Toulouse School of Economics (TSE).
    65. Joel L. Horowitz, 2018. "Bootstrap methods in econometrics," CeMMAP working papers CWP53/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  20. Donald, Stephen G., 1995. "Two-step estimation of heteroskedastic sample selection models," Journal of Econometrics, Elsevier, vol. 65(2), pages 347-380, February.

    Cited by:

    1. Huber, Martin & Melly, Blaise, 2011. "Quantile Regression in the Presence of Sample Selection," Economics Working Paper Series 1109, University of St. Gallen, School of Economics and Political Science.
    2. Stacey Chen, 2003. "Nonparametric Estimation of Average Volatility Differentials in Selection Models with an Application to Returns to Schooling," Discussion Papers 03-02, University at Albany, SUNY, Department of Economics.
    3. Manuel Arellano & Stéphane Bonhomme, 2017. "Quantile Selection Models With an Application to Understanding Changes in Wage Inequality," Econometrica, Econometric Society, vol. 85, pages 1-28, January.
    4. D’Haultfœuille, Xavier & Maurel, Arnaud & Zhang, Yichong, 2018. "Extremal quantile regressions for selection models and the black–white wage gap," Journal of Econometrics, Elsevier, vol. 203(1), pages 129-142.
    5. Xavier D’Haultfoeuille & Arnaud Maurel & Xiaoyun Qiu & Yichong Zhang, 2020. "Estimating selection models without an instrument with Stata," Stata Journal, StataCorp LP, vol. 20(2), pages 297-308, June.
    6. Chen, Songnian & Khan, Shakeeb, 2003. "Rates of convergence for estimating regression coefficients in heteroskedastic discrete response models," Journal of Econometrics, Elsevier, vol. 117(2), pages 245-278, December.
    7. Manuel Arellano & Stéphane Bonhomme, 2017. "Sample Selection in Quantile Regression: A Survey," Working Papers wp2017_1702, CEMFI.
    8. Ana Fernandez Sainz & Juan Rodriguez-Poo & Inmaculada Villanua Martin, 2002. "Finite sample behavior of two step estimators in selection models," Computational Statistics, Springer, vol. 17(1), pages 1-16, March.
    9. James E. Prieger, "undated". "A Generalized Parametric Selection Model for Non-Normal Data," Department of Economics 00-09, California Davis - Department of Economics.
    10. Daniel Pollmann & Thomas Dohmen & Franz Palm, 2013. "Robust Estimation of Wage Dispersion with Censored Data: An Application to Occupational Earnings Risk and Risk Attitudes," SOEPpapers on Multidisciplinary Panel Data Research 572, DIW Berlin, The German Socio-Economic Panel (SOEP).
    11. Chen, Songnian & Khan, Shakeeb, 2000. "Estimating censored regression models in the presence of nonparametric multiplicative heteroskedasticity," Journal of Econometrics, Elsevier, vol. 98(2), pages 283-316, October.
    12. Lewbel, Arthur, 2007. "Endogenous selection or treatment model estimation," Journal of Econometrics, Elsevier, vol. 141(2), pages 777-806, December.
    13. Daniel Pollmann & Thomas Dohmen & Franz Palm, 2020. "Dispersion estimation; Earnings risk; Censoring; Quantile regression; Occupational choice; Sorting; Risk preferences; SOEP; IABS," ECONtribute Discussion Papers Series 028, University of Bonn and University of Cologne, Germany.
    14. Chen, Songnian & Zhou, Yahong, 2010. "Semiparametric and nonparametric estimation of sample selection models under symmetry," Journal of Econometrics, Elsevier, vol. 157(1), pages 143-150, July.
    15. Bo E. Honore & Luojia Hu, 2021. "Sample Selection Models Without Exclusion Restrictions: Parameter Heterogeneity and Partial Identification," Working Paper Series WP 2022-33, Federal Reserve Bank of Chicago.
    16. Songnian Chen & Yahong Zhou, 2005. "A Simple Matching Method for Estimating Sample Selection Models Using Experimental Data," Annals of Economics and Finance, Society for AEF, vol. 6(1), pages 155-167, May.
    17. Lee Adkins & R. Carter Hill, 2007. "Bootstrap Inferences in Heteroscedastic Sample Selection Models: A Monte Carlo Investigation," Economics Working Paper Series 0710, Oklahoma State University, Department of Economics and Legal Studies in Business.
    18. Sungwon Lee, 2020. "Nonparametric Identification and Estimation of Panel Quantile Models with Sample Selection," Working Papers 2012, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    19. Hedoui, M. Amine & Beghin, John C., 2022. "Decomposing the impact of GMO regulation on bilateral trade: An application to corn trade," Staff Papers 329344, University of Nebraska-Lincoln, Department of Agricultural Economics.

  21. Donald, Stephen G & Sappington, David E M, 1995. "Explaining the Choice among Regulatory Plans in the U.S. Telecommunications Industry," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 4(2), pages 237-265, Summer.
    See citations under working paper version above.
  22. Donald, S. G. & Newey, W. K., 1994. "Series Estimation of Semilinear Models," Journal of Multivariate Analysis, Elsevier, vol. 50(1), pages 30-40, July.

    Cited by:

    1. Zheng Fang & Juwon Seo, 2021. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones," Econometrica, Econometric Society, vol. 89(5), pages 2439-2458, September.
    2. Galbraith, John W. & Zinde-Walsh, Victoria, 2020. "Simple and reliable estimators of coefficients of interest in a model with high-dimensional confounding effects," Journal of Econometrics, Elsevier, vol. 218(2), pages 609-632.
    3. Liu, Yan & Zhang, Sanguo & Ma, Shuangge & Zhang, Qingzhao, 2020. "Tests for regression coefficients in high dimensional partially linear models," Statistics & Probability Letters, Elsevier, vol. 163(C).
    4. Byunghoon Kang, 2017. "Inference in Nonparametric Series Estimation with Data-Dependent Undersmoothing," Working Papers 170712442, Lancaster University Management School, Economics Department.
    5. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2012. "Inference on treatment effects after selection amongst high-dimensional controls," CeMMAP working papers CWP10/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Khan, Shakeeb & Maurel, Arnaud & Zhang, Yichong, 2020. "Informational Content of Factor Structures in Simultaneous Binary Response Models," IZA Discussion Papers 14008, Institute of Labor Economics (IZA).
    7. Hidehiko Ichimura & Whitney K. Newey, 2017. "The influence function of semiparametric estimators," CeMMAP working papers 06/17, Institute for Fiscal Studies.
    8. Byunghoon Kang, 2018. "Inference in Nonparametric Series Estimation with Specification Searches for the Number of Series Terms," Working Papers 240829404, Lancaster University Management School, Economics Department.
    9. Qi Li & Aman Ullha, 1998. "Estimating partially linear panel data models with one-way error components," Econometric Reviews, Taylor & Francis Journals, vol. 17(2), pages 145-166.
    10. Cattaneo, Matias D & Jansson, Michael & Newey, Whitney K, 2018. "Inference in Linear Regression Models with Many Covariates and Heteroscedasticity," Department of Economics, Working Paper Series qt6rp7p9gs, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
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    10. Florencia Gabrielli, 2014. "Econometrics of First Price Auctions: a Survey of the Theoretical and Applied Literature," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 60, pages 77-118, January-D.
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    2. Valerie A. Ramey, 2012. "Government Spending and Private Activity," NBER Chapters, in: Fiscal Policy after the Financial Crisis, pages 19-55, National Bureau of Economic Research, Inc.
    3. Cho, Seo-young & Vadlamannati, Krishna Chaitanya, 2010. "Compliance for big brothers: An empirical analysis on the impact of the anti-trafficking protocol," University of Göttingen Working Papers in Economics 118, University of Goettingen, Department of Economics.
    4. Lucia Rizzica, 2018. "When the Cat’s Away The Effects of Spousal Migration on Investments on Children," The World Bank Economic Review, World Bank, vol. 32(1), pages 85-108.
    5. Elbadawi, Ibrahim & Mengistae, Taye & Zeufack, Albert, 2006. "Market access, supplier access, and Africa's manufactured exports : an analysis of the role of geography and institutions," Policy Research Working Paper Series 3942, The World Bank.
    6. MacDonald, Ronald & Vieira, Flávio & Damasceno, Aderbal, 2010. "The Role of Institutions in Cross-Section Income and Panel Data Growth Models: A Deeper Investigation on the Weakness and Proliferation of Instruments," SIRE Discussion Papers 2010-50, Scottish Institute for Research in Economics (SIRE).
    7. Berning, Joshua P., 2012. "Access to Local Agriculture and Weight Outcomes," Agricultural and Resource Economics Review, Cambridge University Press, vol. 41(1), pages 57-71, April.
    8. Eleanor Sanderson & Frank Windmeijer, 2013. "A weak instrument F-test in linear IV models with multiple endogenous variables," CeMMAP working papers CWP58/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Do, Manh Hung & Nguyen, Trung Thanh & Grote, Ulrike, 2023. "Land consolidation, rice production, and agricultural transformation: Evidence from household panel data for Vietnam," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 157-173.
    10. Centorrino, Samuele & Pérez-Urdiales, María, 2023. "Maximum likelihood estimation of stochastic frontier models with endogeneity," Journal of Econometrics, Elsevier, vol. 234(1), pages 82-105.
    11. Jennifer Hunt, 2012. "The Impact of Immigration on the Educational Attainment of Natives," NBER Working Papers 18047, National Bureau of Economic Research, Inc.
    12. Joseph G. Attila, 2011. "Corruption and quality of public institutions: evidence from Generalized Method of Moment," CERDI Working papers halshs-00556802, HAL.
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    14. David De la Croix & Clara Delavallade, 2006. "Growth, public investment and corruption with failing institutions," Cahiers de la Maison des Sciences Economiques v06078a, Université Panthéon-Sorbonne (Paris 1), revised May 2008.
    15. María José Ibáñez & Felipe Vásquez Lavin & Roberto D. Ponce Oliva, 2023. "Female Underperformance Hypothesis Revisited: Methodological Review and Empirical Testing," SAGE Open, , vol. 13(4), pages 21582440231, December.
    16. Yener Altunbas & Leonardo Gambacorta & Alessio Reghezza & Giulio Velliscig, 2021. "Does gender diversity in the workplace mitigate climate change?," BIS Working Papers 977, Bank for International Settlements.
    17. Lee, Angela Y. & Aaker, Jennifer L., 2006. "A Monte Carlo Study of Growth Regressions," Research Papers 1836r1, Stanford University, Graduate School of Business.
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  25. Donald, Stephen G. & Maddala, G. S., 1993. "A note on the estimation of limited dependent variable models under rational expectations (Economics Letters 38, no. 1, pp. 17-23)," Economics Letters, Elsevier, vol. 41(1), pages 111-111.

    Cited by:

    1. Pesaran, M.H. & Samiei, H., 1993. "Limited-Dependaent Rational Expectations Models with Future Expectations," Cambridge Working Papers in Economics 9321, Faculty of Economics, University of Cambridge.
    2. M. Isabel Campos & Zenon Jimenez-Ridruejo, 2003. "Were the peseta exchange rate crises forecastable during target zone period?," Applied Economics, Taylor & Francis Journals, vol. 35(9), pages 1087-1099.
    3. Campos, M. Isabel & Herrera, Julio & Jimenez-Ridruejo, Zenon, 1999. "Censured Exchange Rates in a Discrete Time Target Zones Model: The Spanish Peseta/Deutsche Mark Case," ERSA conference papers ersa99pa183, European Regional Science Association.

  26. Donald, Stephen G. & Maddala, G. S., 1992. "A note on the estimation of limited dependent variable models under rational expectations," Economics Letters, Elsevier, vol. 38(1), pages 17-23, January.

    Cited by:

    1. Francisco J. Ruge-Murcia, 2000. "Uncovering financial markets' beliefs about inflation targets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 483-512.
    2. Pesaran, M.H. & Murcia, F.J., 1993. "Limited-Dependent Rational Expectations Models with Stochastic Thresholds," Cambridge Working Papers in Economics 9318, Faculty of Economics, University of Cambridge.
    3. Lee, Myoung-jae, 1997. "A limited dependent variable model under median rationality," Economics Letters, Elsevier, vol. 54(3), pages 221-225, July.
    4. Pesaran, M.H. & Samiei, H., 1993. "Limited-Dependaent Rational Expectations Models with Future Expectations," Cambridge Working Papers in Economics 9321, Faculty of Economics, University of Cambridge.
    5. M. Isabel Campos & Zenón Jiménez-Ridruejo, 2000. "Were The Peseta Exchange Rate Crises Forecastable During Target Zone Period?," Working Papers 00-07, Asociación Española de Economía y Finanzas Internacionales.
    6. M. Isabel Campos & Zenon Jimenez-Ridruejo, 2003. "Were the peseta exchange rate crises forecastable during target zone period?," Applied Economics, Taylor & Francis Journals, vol. 35(9), pages 1087-1099.
    7. Campos, M. Isabel & Herrera, Julio & Jimenez-Ridruejo, Zenon, 1999. "Censured Exchange Rates in a Discrete Time Target Zones Model: The Spanish Peseta/Deutsche Mark Case," ERSA conference papers ersa99pa183, European Regional Science Association.
    8. M. Hashem Pesaran & Francisco J. Ruge-Murcia, 1996. "Limited-dependent rational expectations models with jumps," Discussion Paper / Institute for Empirical Macroeconomics 111, Federal Reserve Bank of Minneapolis.

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