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Marcelo J. Moreira

Not to be confused with: Marcelo Jose Moreira

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Marcelo J. Moreira & Geert Ridder, 2020. "Efficiency Loss of Asymptotically Efficient Tests in an Instrumental Variables Regression," Papers 2008.13042, arXiv.org, revised Sep 2021.

    Cited by:

    1. Humberto Moreira & Marcelo Moreira, 2016. "Optimal two-sided tests for instrumental variables regression with heteroskedastic and autocorrelated errors," CeMMAP working papers CWP25/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  2. David S. Lee & Justin McCrary & Marcelo J. Moreira & Jack Porter, 2020. "Valid t-ratio Inference for IV," Papers 2010.05058, arXiv.org.

    Cited by:

    1. Hollingsworth, Alex & Thomasson, Melissa A. & Karbownik, Krzysztof & Wray, Anthony, 2022. "The Gift of a Lifetime: The Hospital, Modern Medicine, and Mortality," IZA Discussion Papers 15719, Institute of Labor Economics (IZA).
    2. Cai, Shu & Zimmermann, Klaus F., 2024. "Social identity and labor market outcomes of internal migrant workers," European Economic Review, Elsevier, vol. 163(C).
    3. Burlinson, Andrew & Davillas, Apostolos & Law, Cherry, 2022. "Pay (for it) as you go: Prepaid energy meters and the heat-or-eat dilemma," Social Science & Medicine, Elsevier, vol. 315(C).
    4. Elisabeth Beckmann & Christa Hainz & Sarah Reiter, 2022. "Third-Party Loan Guarantees: Measuring Literacy and its Effect on Financial Decisions (Elisabeth Beckmann, Christa Hainz, Sarah Reiter)," Working Papers 237, Oesterreichische Nationalbank (Austrian Central Bank).
    5. Valentina DI IASIO & Ernest MIGUELEZ, 2021. "The ties that bind and transform: knowledge remittances, relatedness and the direction of technical change," Bordeaux Economics Working Papers 2021-13, Bordeaux School of Economics (BSE).
    6. Jumrani, Jaya, 2023. "How responsive are nutrients in India? Some recent evidence," Food Policy, Elsevier, vol. 114(C).
    7. Suss, Joel & Bholat, David & Gillespie, Alex & Reader, Tom, 2021. "Organisational culture and bank risk," Bank of England working papers 912, Bank of England.
    8. Robert A. Moffitt & Matthew V. Zahn, 2019. "The Marginal Labor Supply Disincentives of Welfare: Evidence from Administrative Barriers to Participation," NBER Working Papers 26028, National Bureau of Economic Research, Inc.
    9. Lai, Weizheng, 2024. "The effect of education on voter turnout in China's rural elections," Journal of Economic Behavior & Organization, Elsevier, vol. 221(C), pages 230-247.
    10. Fraser Summerfield & Livio Di Matteo, 2021. "Influenza Pandemics and Macroeconomic Fluctuations in Recent Economic History," Working Papers 210002, Canadian Centre for Health Economics.
    11. Cave, Joshua & Lancheros, Sandra, 2024. "Local peer influence on dividend payout decisions," Journal of Banking & Finance, Elsevier, vol. 164(C).
    12. Seetha Menon, 2023. "The effect of domestic violence on cardiovascular risk," Review of Economics of the Household, Springer, vol. 21(2), pages 371-395, June.
    13. Black, Bernard & French, Eric & McCauley, Jeremy & Song, Jae, 2024. "The effect of disability insurance receipt on mortality," Journal of Public Economics, Elsevier, vol. 229(C).
    14. Wang, Wenjie & Zhang, Yichong, 2024. "Wild bootstrap inference for instrumental variables regressions with weak and few clusters," Journal of Econometrics, Elsevier, vol. 241(1).
    15. Fremerey, Melinda & Hörnig, Lukas & Schaffner, Sandra, 2024. "Becoming neighbors with refugees and voting for the far-right? The impact of refugee inflows at the small-scale level," Labour Economics, Elsevier, vol. 86(C).
    16. Lukas Delgado-Prieto, 2024. "Immigration, wages, and employment under informal labor markets," Journal of Population Economics, Springer;European Society for Population Economics, vol. 37(2), pages 1-34, June.
    17. Burlinson, Andrew & Giulietti, Monica & Law, Cherry & Liu, Hui-Hsuan, 2021. "Fuel poverty and financial distress," Energy Economics, Elsevier, vol. 102(C).
    18. Gandhi, Sahil & Green, Richard K. & Patranabis, Shaonlee, 2022. "Insecure property rights and the housing market: Explaining India’s housing vacancy paradox," Journal of Urban Economics, Elsevier, vol. 131(C).
    19. Simeth, Markus & Wehrheim, David, 2024. "On “Innovation and institutional ownership”," Journal of Corporate Finance, Elsevier, vol. 86(C).
    20. Avdic, Daniel & von Hinke, Stephanie, 2021. "Extending alcohol retailers’ opening hours: Evidence from Sweden," European Economic Review, Elsevier, vol. 138(C).
    21. Meierrieks, Daniel & Renner, Laura, 2021. "Islamist terrorism and the role of women," Discussion Paper Series 2021-02, University of Freiburg, Wilfried Guth Endowed Chair for Constitutional Political Economy and Competition Policy.
    22. Mathijs de Vaan & Saqib Mumtaz & Abhishek Nagaraj & Sameer B. Srivastava, 2021. "Social Learning in the COVID-19 Pandemic: Community Establishments’ Closure Decisions Follow Those of Nearby Chain Establishments," Management Science, INFORMS, vol. 67(7), pages 4446-4454, July.
    23. Juliane Hennecke & Clemens Hetschko, 2021. "Do You Really Want to Share Everything? The Wellbeing of Work-Linked Couples," Working Papers 2021-03, Auckland University of Technology, Department of Economics.
    24. Jetter, Michael & Walker, Jay K., 2022. "News coverage and mass shootings in the US," European Economic Review, Elsevier, vol. 148(C).
    25. Sébastien Grobon & François-Charles Wolff, 2022. "Do public scholarships crowd out parental transfers? Evidence at the intensive margin from France," Documents de travail du Centre d'Economie de la Sorbonne 22009rr, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Jan 2024.
    26. Daniel Borbely & Markus Gehrsitz & Stuart McIntyre & Gennaro Rossi & Graeme Roy, 2023. "Early Years Multi‐grade Classes and Pupil Attainment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(6), pages 1295-1319, December.
    27. Joshua Angrist & Michal Kolesár, 2022. "One Instrument to Rule Them All: The Bias and Coverage of Just-ID IV," Working Papers 2022-17, Princeton University. Economics Department..
    28. Celidoni, Martina & Costa-Font, Joan & Salmasi, Luca, 2022. "Too healthy to fall sick? Longevity expectations and protective health behaviours during the first wave of COVID-19," LSE Research Online Documents on Economics 115979, London School of Economics and Political Science, LSE Library.
    29. Albanese, Giuseppe & de Blasio, Guido, 2021. "Industrialization, turnout, and left-wing vote," Economics Letters, Elsevier, vol. 206(C).
    30. Awaworyi Churchill, Sefa & Smyth, Russell, 2022. "Protestantism and energy poverty," Energy Economics, Elsevier, vol. 111(C).
    31. Sefa Awaworyi Churchill & Simon Chang & Russell Smyth & Trong-Anh Trinh, 2024. "The Long Run Gender Origins of Entrepreneurship: Evidence from Australia's Convict History," Monash Economics Working Papers 2024-11, Monash University, Department of Economics.
    32. Silvia H. Barcellos & Leandro Carvalho & Patrick Turley, 2021. "The Effect of Education on the Relationship between Genetics, Early-Life Disadvantages, and Later-Life SES," NBER Working Papers 28750, National Bureau of Economic Research, Inc.
    33. Mirjam Bächli & Teodora Tsankova, 2021. "Does Labor Protection Increase Support for Immigration? Evidence from Switzerland," CESifo Working Paper Series 9373, CESifo.
    34. Mertens, Matthias & Müller, Steffen & Neuschäffer, Georg, 2022. "Identifying rent-sharing using firms' energy input mix," IWH Discussion Papers 19/2022, Halle Institute for Economic Research (IWH).
    35. Kolodziej, Ingo & Coe, Norma B. & Van Houtven, Courtney Harold, 2023. "Intensive informal care and impairments in work productivity and activity," Ruhr Economic Papers 1010, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    36. Meierrieks, Daniel & Krieger, Tim & Klotzbücher, Valentin, 2021. "Class Warfare: Political Exclusion of the Poor and the Roots of Social-Revolutionary Terrorism, 1860-1950," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 32(6), pages 681-697.
    37. Clark, Andrew E. & Zhu, Rong, 2023. "Taking Back Control? Quasi-Experimental Evidence on the Impact of Retirement on Locus of Control," IZA Discussion Papers 16704, Institute of Labor Economics (IZA).
    38. Michael Keane & Timothy Neal, 2021. "A Practical Guide to Weak Instruments," Discussion Papers 2021-05b, School of Economics, The University of New South Wales.
    39. Hirsch, Patrick & Köhler, Ekkehard A. & Feld, Lars P. & Thomas, Tobias, 2020. ""Whatever it takes!": How tonality of TV-news affects government bond yield spreads during crises," Freiburg Discussion Papers on Constitutional Economics 20/9, Walter Eucken Institut e.V..
    40. Camelia Minoiu & Andrés Schneider & Min Wei, 2023. "Why Does the Yield Curve Predict GDP Growth? The Role of Banks," FRB Atlanta Working Paper 2023-14, Federal Reserve Bank of Atlanta.
    41. Bedaso, Fenet Jima, 2024. "Her Job, her Safety? Domestic Violence and Women's Economic Empowerment: Evidence from Ethiopia," GLO Discussion Paper Series 1436, Global Labor Organization (GLO).
    42. Keane, Michael & Neal, Timothy, 2023. "Instrument strength in IV estimation and inference: A guide to theory and practice," Journal of Econometrics, Elsevier, vol. 235(2), pages 1625-1653.
    43. Auer, Daniel & Meierrieks, Daniel, 2021. "Merchants of death: Arms imports and terrorism," European Economic Review, Elsevier, vol. 137(C).
    44. Sarah Schneider-Strawczynski, 2020. "Hosting Refugees and Voting for the Far-Right: Evidence from France," PSE Working Papers halshs-02982827, HAL.
    45. Michele Cantarella & Nicolò Fraccaroli & Roberto Volpe, 2020. "Does Fake News Affect Voting Behaviour?," CEIS Research Paper 493, Tor Vergata University, CEIS, revised 17 Jun 2020.
    46. Guo, Liwen & Cheng, Zhiming & Tani, Massimiliano & Cook, Sarah & Zhao, Jiaqi & Chen, Xi, 2022. "Air Pollution and Entrepreneurship," GLO Discussion Paper Series 1208, Global Labor Organization (GLO).
    47. Di Iasio, Valentina & Wahba, Jackline, 2023. "Natives' Attitudes and Immigration Flows to Europe," IZA Discussion Papers 15942, Institute of Labor Economics (IZA).
    48. Singh, Tejendra Pratap, 2022. "Beyond The Haze: Air Pollution and Student Absenteeism - Evidence from India," OSF Preprints pcva2, Center for Open Science.
    49. Eugen Dimant & Tim Krieger & Daniel Meierrieks, 2024. "Paying Them to Hate US: The Effect of US Military Aid on Anti-American Terrorism, 1968–2018," The Economic Journal, Royal Economic Society, vol. 134(663), pages 2772-2802.
    50. Böheim, René & Hackl, Franz & Hölzl-Leitner, Michael, 2021. "The impact of price adjustment costs on price dispersion in e-commerce," International Journal of Industrial Organization, Elsevier, vol. 77(C).
    51. Davillas, Apostolos & Burlinson, Andrew & Liu, Hui-Hsuan, 2022. "Getting warmer: Fuel poverty, objective and subjective health and well-being," Energy Economics, Elsevier, vol. 106(C).
    52. Hill, Darryl V. & Hughes, Rodney P. & Lenard, Matthew A. & Liebowitz, David D. & Page, Lindsay C., 2023. "New schools and new classmates: The disruption and peer group effects of school reassignment," Economics of Education Review, Elsevier, vol. 92(C).
    53. Eibich, Peter, 2023. "Instrumental variable estimates of the burden of parental caregiving," The Journal of the Economics of Ageing, Elsevier, vol. 26(C).
    54. Ivan Faiella & Luciano Lavecchia, 2021. "Households' energy demand and the effects of carbon pricing in Italy," Questioni di Economia e Finanza (Occasional Papers) 614, Bank of Italy, Economic Research and International Relations Area.
    55. Knutsson, Daniel & Tyrefors, Björn, 2024. "Labor market effects of a youth summer employment program in Sweden," Working Paper Series 2024:5, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    56. Callais, Justin & Harris, Colin & Borchard, Ben, 2022. "The moral costs of markets: Testing the deterioration hypothesis," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 200-220.
    57. Klauber, Hannah & Holub, Felix & Koch, Nicolas & Pestel, Nico & Ritter, Nolan & Rohlf, Alexander, 2021. "Killing Prescriptions Softly: Low Emission Zones and Child Health from Birth to School," IZA Discussion Papers 14376, Institute of Labor Economics (IZA).
    58. Arendt, Jacob Nielsen & Bolvig, Iben, 2023. "Trade-offs between work-first and language-first strategies for refugees," Economics of Education Review, Elsevier, vol. 92(C).
    59. Karacharovskiy, Vladimir & Vakulenko, Elena, 2021. "Approaches to measuring the shadow price of individual wage mobility channels," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 61, pages 62-88.
    60. Tumen, Semih & Turan, Belgi, 2020. "The Effect of Fertility on Female Labor Supply in a Labor Market with Extensive Informality," IZA Discussion Papers 13986, Institute of Labor Economics (IZA).
    61. Jim Been & Anne C. Gielen & Marike Knoef & Gloria Moroni, 2022. "Prolonged worklife among grandfathers: Spillover effects on grandchildren's educational outcomes," Tinbergen Institute Discussion Papers 22-033/V, Tinbergen Institute.
    62. Sarah Schneider-Strawczynski, 2020. "Hosting Refugees and Voting for the Far-Right: Evidence from France," Working Papers halshs-02982827, HAL.
    63. Ackermann, Klaus & Awaworyi Churchill, Sefa & Smyth, Russell, 2024. "Estimating the relationship between ethnic inequality, conflict and voter turnout in Africa using geocoded data," World Development, Elsevier, vol. 180(C).
    64. Stephanie von Hinke, 2021. "Education, dietary intakes and exercise," Bristol Economics Discussion Papers 21/748, School of Economics, University of Bristol, UK.
    65. Arendt, Jacob Nielsen & Christensen, Mads Lybech & Hjorth-Trolle, Anders, 2021. "Maternal education and child health: Causal evidence from Denmark," Journal of Health Economics, Elsevier, vol. 80(C).
    66. Bassier, Ihsaan & Manning, Alan & Petrongolo, Barbara, 2023. "Vacancy Duration and Wages," IZA Discussion Papers 16371, Institute of Labor Economics (IZA).
    67. Smart, Rosanna & Doremus, Jacqueline, 2023. "The kids aren’t alright: The effects of medical marijuana market size on adolescents," Journal of Health Economics, Elsevier, vol. 87(C).
    68. Zhu, Rong & Onur, Ilke, 2023. "Does retirement (really) increase informal caregiving? Quasi-experimental evidence from Australia," Journal of Health Economics, Elsevier, vol. 87(C).
    69. Voth, Hans-Joachim & Caprettini, Bruno & Trew, Alex, 2023. "Fighting for Growth: Labor Scarcity and Technological Progress During the British Industrial Revolution," CEPR Discussion Papers 17881, C.E.P.R. Discussion Papers.
    70. Ihsaan Bassier & Alan Manning & Barbara Petrongolo, 2023. "Vacancy duration and wages," CEP Discussion Papers dp1943, Centre for Economic Performance, LSE.
    71. Alda, Erik, 2020. "The effects of body-worn cameras on police efficiency: A study of local police agencies in the US," MPRA Paper 103994, University Library of Munich, Germany.
    72. Sávio L. C. Oliveira & Wallace Patrick S. F. Souza, 2022. "Political competition and candidate selection in Brazilian municipalities," Economics Bulletin, AccessEcon, vol. 42(2), pages 1171-1179.
    73. Javier Alejo & Antonio F. Galvao & Gabriel Montes-Rojas, 2021. "A first-stage representation for instrumental variables quantile regression," Papers 2102.01212, arXiv.org, revised Feb 2022.
    74. Alan Manning & Sandra McNally & Guglielmo Ventura, 2024. "Immigration and vocational training: Evidence from England," CVER Research Papers 040, Centre for Vocational Education Research.
    75. Danny Cohen-Zada & Itay Attar & Todd Elder, 2024. "Measuring and Correcting Monotonicity Bias:The Case of School Entrance Age Effects," Working Papers 2406, Ben-Gurion University of the Negev, Department of Economics.
    76. Shenoy, Ajay & Sharma, Bhavyaa & Xu, Guanghong & Kapoor, Rolly & Rho, Haedong Aiden & Sangha, Kinpritma, 2022. "God is in the rain: The impact of rainfall-induced early social distancing on COVID-19 outbreaks," Santa Cruz Department of Economics, Working Paper Series qt3jr4k0cm, Department of Economics, UC Santa Cruz.
    77. Picard, Julien & Banerjee, Sanchayan, 2023. "Behavioural spillovers unpacked: estimating the side effects of social norm nudges," LSE Research Online Documents on Economics 120566, London School of Economics and Political Science, LSE Library.
    78. Roach, Travis & Nath, Saheli, 2023. "Counties with More Vietnam Veterans Have Higher Suicide Rates," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 53(1), April.
    79. Takahashi, Ryo & Otsuka, Keijiro & Tilahun, Mesfin & Birhane, Emiru & Holden, Stein, 2024. "Beyond Ostrom: Randomized experiment of the impact of individualized tree rights on forest management in Ethiopia," World Development, Elsevier, vol. 178(C).
    80. Manu Navjeevan, 2023. "An Identification and Dimensionality Robust Test for Instrumental Variables Models," Papers 2311.14892, arXiv.org.
    81. Araki, Michael E. & Bennett, Daniel L. & Wagner, Gary A., 2024. "Regional innovation networks & high-growth entrepreneurship," Research Policy, Elsevier, vol. 53(1).
    82. Meierrieks, Daniel & Renner, Laura, 2023. "Islamist terrorism and the status of women," European Journal of Political Economy, Elsevier, vol. 78(C).
    83. Betts,Alexander Milton Stedman & Stierna,Maria Flinder & Omata,Naohiko & Sterck,Olivier Christian Brigitte, 2022. "Social Cohesion and Refugee-Host Interactions : Evidence from East Africa," Policy Research Working Paper Series 9917, The World Bank.
    84. Eiji Yamamura, 2021. "Do You Want Sustainable Olympics? Environment, Disaster, Gender, and the 2020 Tokyo Olympics," Sustainability, MDPI, vol. 13(22), pages 1-14, November.
    85. Korn, Tobias, 2023. "The Persistent Consequences of Civil Conflict: Evidence from a New Measure for Subnational Conflict Exposure," Hannover Economic Papers (HEP) dp-711, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    86. Castañeda Dower, Paul & Gerber, Theodore P. & Weber, Shlomo, 2022. "Firms, kinship networks, and economic growth in the Kyrgyz Republic," Journal of Comparative Economics, Elsevier, vol. 50(4), pages 997-1018.
    87. Chen, Shuangye & Liu, Yanlin & Yang, Jin & Yang, Yuchen & Ye, Xiaoyang, 2023. "Impacts of village preschools on student enrollment and longer-term outcomes: New evidence from the poorest regions in China," International Journal of Educational Development, Elsevier, vol. 102(C).
    88. Capuno, Joseph & Corpuz, Jose & Samuel Lordemus, 2022. "Natural disasters and local government finance: Evidence from typhoon Haiyan," CAGE Online Working Paper Series 620, Competitive Advantage in the Global Economy (CAGE).
    89. Posso, Alberto & Zhang, Quanda, 2023. "Social R&D: Does academic freedom contribute to improved societal outcomes?," Information Economics and Policy, Elsevier, vol. 63(C).
    90. Chuan, Amanda & Zhang, Weilong, 2023. "Non-college Occupations, Workplace Routinization, and the Gender Gap in College Enrollment," IZA Discussion Papers 16089, Institute of Labor Economics (IZA).
    91. de Soysa, Indra & Krieger, Tim & Meierrieks, Daniel, 2022. "Oil and property rights," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 79, pages 1-13.
    92. Monserrat Serio & Pablo Mahnic, 2022. "Exploring the U-shaped relationship between education and entrepreneurial choice: a theoretical model and empirical findings for Latin America," SN Business & Economics, Springer, vol. 2(6), pages 1-22, June.
    93. Lim, Dennis & Wang, Wenjie & Zhang, Yichong, 2024. "A conditional linear combination test with many weak instruments," Journal of Econometrics, Elsevier, vol. 238(2).
    94. Drake, Coleman & Anderson, David & Cai, Sih-Ting & Sacks, Daniel W., 2023. "Financial transaction costs reduce benefit take-up evidence from zero-premium health insurance plans in Colorado," Journal of Health Economics, Elsevier, vol. 89(C).
    95. Natee Amornsiripanitch, 2022. "Bond Insurance and Public Sector Employment," Working Papers 22-03, Federal Reserve Bank of Philadelphia.
    96. Berger, Allen N. & Karakaplan, Mustafa U. & Roman, Raluca A., 2023. "Whose bailout is it anyway? The roles of politics in PPP bailouts of small businesses vs. banks," Journal of Financial Intermediation, Elsevier, vol. 56(C).
    97. Hervé, Justine, 2023. "Specialists or generalists? Cross-industry mobility and wages," Labour Economics, Elsevier, vol. 84(C).
    98. Bassier, Ihsaan & Manning, Alan & Petrongolo, Barbara, 2023. "Vacancy duration and wages," LSE Research Online Documents on Economics 121287, London School of Economics and Political Science, LSE Library.
    99. Ankel-Peters, Jörg & Bensch, Gunther & Vance, Colin, 2023. "Spotlight on researcher decisions: Infrastructure evaluation, instrumental variables, and specification screening," Ruhr Economic Papers 991, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    100. Datta Gupta, Nabanita & Jessen, Jonas & Spieß, C. Katharina, 2023. "Maternal Life Satisfaction and Child Development from Toddlerhood to Adolescence," IZA Discussion Papers 16155, Institute of Labor Economics (IZA).
    101. Guglielmo Briscese & Maddalena Grignani & Stephen Stapleton, 2022. "Crises and Political Polarization: Towards a Better Understanding of the Timing and Impact of Shocks and Media," Papers 2202.12339, arXiv.org, revised Feb 2023.
    102. Henri Keränen & Sakari Lähdemäki, 2020. "Identification of fiscal SVARs in small open economies using trading partner forecast errors as instruments," Working Papers 330, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    103. Nicola Francescutto, 2024. "Retirement decision and household's gasoline consumption: Evidence from a Regression Discontinuity Design," IRENE Working Papers 24-01, IRENE Institute of Economic Research.
    104. Burra, Lavan T. & Sommer, Stephan & Vance, Colin, 2023. "Policy Complementarities in the Promotion of Electric Vehicles," Ruhr Economic Papers 1014, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    105. Rashmi Barua & Prarthna Agarwal Goel & Renuka Sane, 2023. "Son preference and crime in India," Review of Economics of the Household, Springer, vol. 21(3), pages 1127-1151, September.
    106. Sommer, Stephan & Vance, Colin, 2021. "Do more chargers mean more electric cars?," Ruhr Economic Papers 893, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    107. Coe, Norma B. & Goda, Gopi Shah & Van Houtven, Courtney Harold, 2023. "Family spillovers and long-term care insurance," Journal of Health Economics, Elsevier, vol. 90(C).
    108. Bunkanwanicha, Pramuan & Di Giuli, Alberta & Salvade, Federica, 2022. "Bank CEO careers after bailouts: The effects of management turnover on bank risk," Journal of Financial Intermediation, Elsevier, vol. 52(C).
    109. Alda, Erik, 2020. "The effects of body-worn cameras on police efficiency: A study of local police agencies in the US," MPRA Paper 103887, University Library of Munich, Germany.
    110. Daniel J. Smith, 2023. "Austrian economics as a relevant research program," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 36(4), pages 501-514, December.
    111. Michael Keane & Timothy Neal, 2021. "A New Perspective on Weak Instruments," Discussion Papers 2021-05a, School of Economics, The University of New South Wales.
    112. Ankel-Peters, Jörg & Vance, Colin & Bensch, Gunther, 2022. "Spotlight on researcher decisions – Infrastructure evaluation, instrumental variables, and first-stage specification screening," OSF Preprints sw6kd, Center for Open Science.
    113. González-Pampillón, Nicolás, 2022. "Spillover effects from new housing supply," Regional Science and Urban Economics, Elsevier, vol. 92(C).
    114. Gagnon, Joseph E. & Kamin, Steven B. & Kearns, John, 2023. "The impact of the COVID-19 pandemic on global GDP growth," Journal of the Japanese and International Economies, Elsevier, vol. 68(C).
    115. Sefa Awaworyi Churchill & Russell Smyth & Trong-Anh Trinh, 2024. "The Long-Run Effects of Male-Biased Sex Ratios on Mateship and Social Capital," Monash Economics Working Papers 2024-02, Monash University, Department of Economics.
    116. Dong, Hao & Millimet, Daniel L., 2023. "Embrace the Noise: It Is OK to Ignore Measurement Error in a Covariate, Sometimes," IZA Discussion Papers 16508, Institute of Labor Economics (IZA).
    117. Chuang, Shih-Hsien, 2024. "Behavioral optimization of US air travel taxes," Research in Transportation Economics, Elsevier, vol. 105(C).

  3. Moreira, Marcelo J. & Mourão, Rafael & Moreira, Humberto Ataíde, 2016. "A critical value function approach, with an application to persistent time-series," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 778, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).

    Cited by:

    1. Werker, Bas J.M. & Zhou, B., 2022. "Semiparametric testing with highly persistent predictors," Other publications TiSEM 2974ce9c-97c1-44cd-9331-0, Tilburg University, School of Economics and Management.
    2. Kees Jan van Garderen & Noud van Giersbergen, 2020. "A Nearly Similar Powerful Test for Mediation," Papers 2012.11342, arXiv.org, revised Jan 2022.
    3. Werker, Bas J.M. & Zhou, Bo, 2022. "Semiparametric testing with highly persistent predictors," Journal of Econometrics, Elsevier, vol. 227(2), pages 347-370.
    4. Bas Werker & Bo Zhou, 2020. "Semiparametric Testing with Highly Persistent Predictors," Papers 2009.08291, arXiv.org.

  4. Marinho Bertanha & Marcelo J. Moreira, 2016. "Impossible Inference in Econometrics: Theory and Applications," Papers 1612.02024, arXiv.org, revised Feb 2020.

    Cited by:

    1. Kojevnikov, Denis & Song, Kyungchul, 2023. "Some impossibility results for inference with cluster dependence with large clusters," Other publications TiSEM 80b8e4ed-54bc-4a34-883f-f, Tilburg University, School of Economics and Management.
    2. Marinho Bertanha & Andrew H. McCallum & Nathan Seegert, 2021. "Better Bunching, Nicer Notching," Finance and Economics Discussion Series 2021-002, Board of Governors of the Federal Reserve System (U.S.).
    3. Yu-Chin Hsu & Ji-Liang Shiu & Yuanyuan Wan, 2023. "Testing Identification Conditions of LATE in Fuzzy Regression Discontinuity Designs," Working Papers tecipa-761, University of Toronto, Department of Economics.
    4. Marinho Bertanha & EunYi Chung, 2021. "Permutation Tests at Nonparametric Rates," Papers 2102.13638, arXiv.org, revised Apr 2022.
    5. Marcelo J. Moreira & Geert Ridder, 2020. "Efficiency Loss of Asymptotically Efficient Tests in an Instrumental Variables Regression," Papers 2008.13042, arXiv.org, revised Sep 2021.
    6. Oliver R. Cutbill & Rami V. Tabri, 2022. "The Impossibility of Testing for Dependence Using Kendall’s Ƭ Under Missing Data of Unknown Form," Working Papers 2022-03, University of Sydney, School of Economics.
    7. Jean-Marie Dufour & Emmanuel Flachaire & Lynda Khalaf & Abdallah Zalghout, 2020. "Identification-robust Inequality Analysis," CIRANO Working Papers 2020s-23, CIRANO.
    8. Bugni, Federico A. & Canay, Ivan A., 2021. "Testing continuity of a density via g-order statistics in the regression discontinuity design," Journal of Econometrics, Elsevier, vol. 221(1), pages 138-159.
    9. BERTANHA, Marinho, 2016. "Regression Discontinuity Design with Many Thresholds," LIDAM Discussion Papers CORE 2016026, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    10. Kojevnikov, Denis & Song, Kyungchul, 2023. "Some impossibility results for inference with cluster dependence with large clusters," Journal of Econometrics, Elsevier, vol. 237(2).
    11. Guido Imbens & Stefan Wager, 2019. "Optimized Regression Discontinuity Designs," The Review of Economics and Statistics, MIT Press, vol. 101(2), pages 264-278, May.
    12. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.

  5. Moreira, Humberto Ataíde & Moreira, Marcelo J., 2015. "Optimal two-sided tests for instrumental variables regression with heteroskedastic and autocorrelated errors," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 764, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).

    Cited by:

    1. David S. Lee & Justin McCrary & Marcelo J. Moreira & Jack R. Porter, 2021. "Valid t-ratio Inference for IV," NBER Working Papers 29124, National Bureau of Economic Research, Inc.
    2. Antoine, Bertille & Lavergne, Pascal, 2023. "Identification-robust nonparametric inference in a linear IV model," Journal of Econometrics, Elsevier, vol. 235(1), pages 1-24.
    3. Wang, Wenjie & Zhang, Yichong, 2024. "Wild bootstrap inference for instrumental variables regressions with weak and few clusters," Journal of Econometrics, Elsevier, vol. 241(1).
    4. Yukun Ma, 2023. "Identification-robust inference for the LATE with high-dimensional covariates," Papers 2302.09756, arXiv.org, revised Nov 2023.
    5. Gregory S. Crawford & Lachlan Deer & Jeremy Smith & Paul Sturgeon, 2017. "The regulation of public service broadcasters: should there be more advertising on television?," ECON - Working Papers 268, Department of Economics - University of Zurich.
    6. Matsushita, Yukitoshi & Otsu, Taisuke, 2024. "A jackknife Lagrange multiplier test with many weak instruments," LSE Research Online Documents on Economics 116392, London School of Economics and Political Science, LSE Library.
    7. Wenjie Wang & Yichong Zhang, 2021. "Wild Bootstrap for Instrumental Variables Regressions with Weak and Few Clusters," Papers 2108.13707, arXiv.org, revised Jan 2024.
    8. Clark, Andrew E. & Zhu, Rong, 2023. "Taking Back Control? Quasi-Experimental Evidence on the Impact of Retirement on Locus of Control," IZA Discussion Papers 16704, Institute of Labor Economics (IZA).
    9. Keane, Michael & Neal, Timothy, 2023. "Instrument strength in IV estimation and inference: A guide to theory and practice," Journal of Econometrics, Elsevier, vol. 235(2), pages 1625-1653.
    10. Michael Keane & Timothy Neal, 2022. "Robust Inference for the Frisch Labor Supply Elasticity," Discussion Papers 2021-07d, School of Economics, The University of New South Wales.
    11. Marcelo J. Moreira & Geert Ridder, 2020. "Efficiency Loss of Asymptotically Efficient Tests in an Instrumental Variables Regression," Papers 2008.13042, arXiv.org, revised Sep 2021.
    12. Bertille Antoine & Pascal Lavergne, 2020. "Identification-Robust Nonparametric Interference in a Linear IV Model," Discussion Papers dp20-03, Department of Economics, Simon Fraser University.
    13. Purevdorj Tuvaandorj, 2021. "Robust Permutation Tests in Linear Instrumental Variables Regression," Papers 2111.13774, arXiv.org, revised Jul 2024.
    14. Wang, Wenjie, 2021. "Wild Bootstrap for Instrumental Variables Regression with Weak Instruments and Few Clusters," MPRA Paper 106227, University Library of Munich, Germany.
    15. Silva, Felipe Bastos Gurgel, 2021. "Fiscal Deficits, Bank Credit Risk, and Loan-Loss Provisions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 56(5), pages 1537-1589, August.
    16. Sreevidya Ayyar & Yukitoshi Matsushita & Taisuke Otsu, 2022. "Conditional likelihood ratio test with many weak instruments," STICERD - Econometrics Paper Series 624, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    17. Dennis Lim & Wenjie Wang & Yichong Zhang, 2022. "A Conditional Linear Combination Test with Many Weak Instruments," Papers 2207.11137, arXiv.org, revised Apr 2023.
    18. Lim, Dennis & Wang, Wenjie & Zhang, Yichong, 2024. "A conditional linear combination test with many weak instruments," Journal of Econometrics, Elsevier, vol. 238(2).
    19. Nicolas Van de Sijpe & Frank Windmeijer, 2021. "On the Power of the Conditional Likelihood Ratio and Related Tests for Weak-Instrument Robust Inference," Economics Papers 2020-W09, Economics Group, Nuffield College, University of Oxford.
    20. Sheng Wang & Hyunseung Kang, 2022. "Weak‐instrument robust tests in two‐sample summary‐data Mendelian randomization," Biometrics, The International Biometric Society, vol. 78(4), pages 1699-1713, December.
    21. Sreevidya Ayyar & Yukitoshi Matsushita & Taisuke Otsu, 2022. "Conditional Likelihood Ratio Test with Many Weak Instruments," Papers 2210.07680, arXiv.org.
    22. Isaiah Andrews & Anna Mikusheva, 2022. "Optimal Decision Rules for Weak GMM," Econometrica, Econometric Society, vol. 90(2), pages 715-748, March.

  6. Moreira, Humberto Ataíde & Moreira, Marcelo J., 2013. "Contributions to the Theory of Optimal Tests," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 747, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).

    Cited by:

    1. 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.
    2. David M. Kaplan & Longhao Zhuo, 2018. "Frequentist size of Bayesian inequality tests," Working Papers 1802, Department of Economics, University of Missouri, revised 14 Jul 2019.
    3. Donald W. K. Andrews & Patrik Guggenberger, 2015. "Identification- and Singularity-Robust Inference for Moment Condition," Cowles Foundation Discussion Papers 1978, Cowles Foundation for Research in Economics, Yale University.
    4. Philipp Ketz & Adam Mccloskey, 2024. "Short and Simple Confidence Intervals When the Directions of Some Effects Are Known," Post-Print halshs-04630222, HAL.
    5. Donald W.K. Andrews, 2011. "Similar-on-the-Boundary Tests for Moment Inequalities Exist, But Have Poor Power," Cowles Foundation Discussion Papers 1815R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2012.
    6. Humberto Moreira & Marcelo Moreira, 2016. "Optimal two-sided tests for instrumental variables regression with heteroskedastic and autocorrelated errors," CeMMAP working papers CWP25/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Philipp Ketz, 2018. "Subvector inference when the true parameter vector may be near or at the boundary," Post-Print halshs-01884381, HAL.
    8. Moreira, Marcelo J. & Mourão, Rafael & Moreira, Humberto Ataíde, 2016. "A critical value function approach, with an application to persistent time-series," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 778, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    9. 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.

  7. Alexei Onatski & Marcelo Moreira J. & Marc Hallin, 2012. "Signal Detection in High Dmension: The Multispiked Case," Working Papers ECARES ECARES 2012-036, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Matteo Barigozzi & Lorenzo Trapani, 2017. "Sequential testing for structural stability in approximate factor models," Papers 1708.02786, arXiv.org, revised Mar 2020.
    2. Badi H. Baltagi & Chihwa Kao & Fa Wang, 2017. "Asymptotic power of the sphericity test under weak and strong factors in a fixed effects panel data model," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 853-882, October.
    3. Anders Bredahl Kock & David Preinerstorfer, 2017. "Power in High-dimensional testing Problems," Working Papers ECARES ECARES 2017-42, ULB -- Universite Libre de Bruxelles.
    4. Christine Cutting & Davy Paindaveine & Thomas Verdebout, 2015. "Testing Uniformity on High-Dimensional Spheres against Contiguous Rotationally Symmetric Alternatives," Working Papers ECARES ECARES 2015-04, ULB -- Universite Libre de Bruxelles.

  8. Alexei Onatski & Marcelo Moreira J. & Marc Hallin, 2011. "Asymptotic Power of Sphericity Tests for High-Dimensional Data," Working Papers ECARES ECARES 2011-018, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Gobillon, Laurent & Magnac, Thierry, 2013. "Regional Policy Evaluation:Interactive Fixed Effects and Synthetic Controls," TSE Working Papers 13-419, Toulouse School of Economics (TSE).
    2. Laurent Gobillon & François-Charles Wolff, 2017. "The local effects of an innovation: Evidence from the French fish market," Working Papers halshs-01431160, HAL.
    3. Wang, Cheng, 2014. "Asymptotic power of likelihood ratio tests for high dimensional data," Statistics & Probability Letters, Elsevier, vol. 88(C), pages 184-189.
    4. Badi H. Baltagi & Chihwa Kao & Fa Wang, 2017. "Asymptotic power of the sphericity test under weak and strong factors in a fixed effects panel data model," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 853-882, October.
    5. Anders Bredahl Kock & David Preinerstorfer, 2017. "Power in High-dimensional testing Problems," Working Papers ECARES ECARES 2017-42, ULB -- Universite Libre de Bruxelles.
    6. Muni S. Srivastava & Hirokazu Yanagihara & Tatsuya Kubokawa, 2014. "Tests for Covariance Matrices in High Dimension with Less Sample Size," CIRJE F-Series CIRJE-F-933, CIRJE, Faculty of Economics, University of Tokyo.
    7. Marc Hallin & Marcelo Moreira J. & Alexei Onatski, 2013. "Group Invariance, Likelihood Ratio Tests, and the Incidental Parameter Problem in a High-Dimensional Linear Model," Working Papers ECARES ECARES 2013-04, ULB -- Universite Libre de Bruxelles.
    8. Christine Cutting & Davy Paindaveine & Thomas Verdebout, 2015. "Testing Uniformity on High-Dimensional Spheres against Contiguous Rotationally Symmetric Alternatives," Working Papers ECARES ECARES 2015-04, ULB -- Universite Libre de Bruxelles.
    9. Humberto Moreira & Marcelo Moreira, 2016. "Optimal two-sided tests for instrumental variables regression with heteroskedastic and autocorrelated errors," CeMMAP working papers CWP25/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Laurent Gobillon & François-Charles Wolff, 2015. "Évaluer l’effet des politiques publiques locales avec les contrôles synthétiques et les modèles à facteurs : Une application au marché du poisson français," PSE Working Papers halshs-01183455, HAL.
    11. Alexei Onatski & Marcelo Moreira J. & Marc Hallin, 2012. "Signal Detection in High Dmension: The Multispiked Case," Working Papers ECARES ECARES 2012-036, ULB -- Universite Libre de Bruxelles.
    12. Guo, Wenwen & Cui, Hengjian, 2019. "Projection tests for high-dimensional spiked covariance matrices," Journal of Multivariate Analysis, Elsevier, vol. 169(C), pages 21-32.
    13. Peng, Bin & Shen, Xinyuan & Ye, Jinqi, 2019. "Testing for sphericity in a fixed effects panel data model with time-varying variances," Economics Letters, Elsevier, vol. 181(C), pages 85-89.
    14. Onatski, Alexei, 2012. "Asymptotics of the principal components estimator of large factor models with weakly influential factors," Journal of Econometrics, Elsevier, vol. 168(2), pages 244-258.
    15. Jianqing Fan & Ricardo Masini & Marcelo C. Medeiros, 2021. "Bridging factor and sparse models," Papers 2102.11341, arXiv.org, revised Sep 2022.
    16. Jamshid Namdari & Debashis Paul & Lili Wang, 2021. "High-Dimensional Linear Models: A Random Matrix Perspective," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 645-695, August.
    17. Davy Paindaveine & Thomas Verdebout, 2013. "Universal Asymptotics for High-Dimensional Sign Tests," Working Papers ECARES ECARES 2013-40, ULB -- Universite Libre de Bruxelles.
    18. Wei Lan & Ronghua Luo & Chih-Ling Tsai & Hansheng Wang & Yunhong Yang, 2015. "Testing the Diagonality of a Large Covariance Matrix in a Regression Setting," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 76-86, January.
    19. Li, Weiming & Qin, Yingli, 2014. "Hypothesis testing for high-dimensional covariance matrices," Journal of Multivariate Analysis, Elsevier, vol. 128(C), pages 108-119.

  9. Marcelo Moreira, 2008. "A Maximum Likelihood Method for the Incidental Parameter Problem," NBER Working Papers 13787, National Bureau of Economic Research, Inc.

    Cited by:

    1. Khalaf, Lynda & Saunders, Charles J., 2020. "Monte Carlo two-stage indirect inference (2SIF) for autoregressive panels," Journal of Econometrics, Elsevier, vol. 218(2), pages 419-434.

  10. Michael Jansson & Marcelo J. Moreira, 2004. "Optimal Inference in Regression Models with Nearly Integrated Regressors," Harvard Institute of Economic Research Working Papers 2047, Harvard - Institute of Economic Research.

    Cited by:

    1. Amihud, Yakov & Hurvich, Clifford M. & Wang, Yi, 2010. "Predictive regression with order-p autoregressive predictors," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 513-525, June.
    2. Yang, Bingduo & Long, Wei & Yang, Zihui, 2022. "Testing predictability of stock returns under possible bubbles," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 246-260.
    3. Zongwu Cai & Haiqiang Chen & Xiaosai Liao, 2020. "A New Robust Inference for Predictive Quantile Regression," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202002, University of Kansas, Department of Economics, revised Feb 2020.
    4. Avdis, Efstathios & Wachter, Jessica A., 2017. "Maximum likelihood estimation of the equity premium," Journal of Financial Economics, Elsevier, vol. 125(3), pages 589-609.
    5. Ren, Yu & Tu, Yundong & Yi, Yanping, 2019. "Balanced predictive regressions," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 118-142.
    6. Ke-Li Xu & Junjie Guo, 2021. "A New Test for Multiple Predictive Regression," CAEPR Working Papers 2022-001 Classification-C, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    7. Michael Jansson, 2008. "Semiparametric Power Envelopes for Tests of the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 76(5), pages 1103-1142, September.
    8. Kostakis, Alexandros & Magdalinos, Tassos & Stamatogiannis, Michalis P., 2023. "Taking stock of long-horizon predictability tests: Are factor returns predictable?," Journal of Econometrics, Elsevier, vol. 237(2).
    9. Xiaoquan Jiang & Bong-Soo Lee, 2013. "Equity issues and aggregate market returns under information asymmetry," Quantitative Finance, Taylor & Francis Journals, vol. 13(2), pages 281-300, January.
    10. Ferson, Wayne E. & Sarkissian, Sergei & Simin, Timothy, 2008. "Asset Pricing Models with Conditional Betas and Alphas: The Effects of Data Snooping and Spurious Regression," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(2), pages 331-353, June.
    11. Werker, Bas J.M. & Zhou, B., 2022. "Semiparametric testing with highly persistent predictors," Other publications TiSEM 2974ce9c-97c1-44cd-9331-0, Tilburg University, School of Economics and Management.
    12. Alex Maynard, 2006. "The forward premium anomaly: statistical artefact or economic puzzle? New evidence from robust tests," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 39(4), pages 1244-1281, November.
    13. Elena Pesavento, 2006. "Near-Optimal Unit Root Tests with Stationary Covariates with Better Finite Sample Size," Economics Working Papers ECO2006/18, European University Institute.
    14. John Y. Campbell, 2008. "Viewpoint: Estimating the equity premium," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 41(1), pages 1-21, February.
    15. Michael Jansson & Marcelo J. Moreira, 2006. "Optimal Inference in Regression Models with Nearly Integrated Regressors," Econometrica, Econometric Society, vol. 74(3), pages 681-714, May.
    16. Jean-Yves Pitarakis, 2017. "A Simple Approach for Diagnosing Instabilities in Predictive Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(5), pages 851-874, October.
    17. Erik Hjalmarsson, 2008. "Predicting global stock returns," International Finance Discussion Papers 933, Board of Governors of the Federal Reserve System (U.S.).
    18. Pavlidis, Efthymios G. & Vasilopoulos, Kostas, 2020. "Speculative bubbles in segmented markets: Evidence from Chinese cross-listed stocks," Journal of International Money and Finance, Elsevier, vol. 109(C).
    19. Gonzalo, Jesus & Pitarakis, Jean-Yves, 2010. "Regime Specific Predictability in Predictive Regressions," MPRA Paper 29190, University Library of Munich, Germany.
    20. Lorenzo Camponovo & Olivier Scaillet & Fabio Trojani, 2016. "Predictability Hidden by Anomalous Observations," Papers 1612.05072, arXiv.org.
    21. Erik Hillebrand & Tae-Hwy Lee & Marcelo Cunha Medeiros, 2012. "Let´s do it again: bagging equity premium predictors," Textos para discussão 604, Department of Economics PUC-Rio (Brazil).
    22. Davide Pettenuzzo & Allan G. Timmermann & Rossen I. Valkanov, 2008. "Return Predictability under Equilibrium Constraints on the Equity Premium," Working Papers 37, Brandeis University, Department of Economics and International Business School.
    23. Christophe Boucher & Bertrand Maillet, 2012. "Prévoir sans persistance," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00662771, HAL.
    24. Demetrescu, Matei & Georgiev, Iliyan & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2023. "Extensions to IVX methods of inference for return predictability," Journal of Econometrics, Elsevier, vol. 237(2).
    25. Torben G. Andersen & Rasmus T. Varneskov, 2021. "Consistent Inference for Predictive Regressions in Persistent Economic Systems," NBER Working Papers 28568, National Bureau of Economic Research, Inc.
    26. Jiang, Xiaoquan & Lee, Bong-Soo, 2007. "Stock returns, dividend yield, and book-to-market ratio," Journal of Banking & Finance, Elsevier, vol. 31(2), pages 455-475, February.
    27. Paulo M.M. Rodrigues & Antonio Rubia, 2011. "A Class of Robust Tests in Augmented Predictive Regressions," Working Papers w201126, Banco de Portugal, Economics and Research Department.
    28. Harvey, David I & Leybourne, Stephen J & Taylor, AM Robert, 2021. "Simple Tests for Stock Return Predictability with Good Size and Power Properties," Essex Finance Centre Working Papers 29814, University of Essex, Essex Business School.
    29. Lee, JiHyung, 2015. "Predictive quantile regression with persistent covariates: IVX-QR approach," MPRA Paper 65150, University Library of Munich, Germany.
    30. Phillips, Peter C.B. & Lee, Ji Hyung, 2016. "Robust econometric inference with mixed integrated and mildly explosive regressors," Journal of Econometrics, Elsevier, vol. 192(2), pages 433-450.
    31. Campbell, John Y. & Yogo, Motohiro, 2006. "Efficient tests of stock return predictability," Journal of Financial Economics, Elsevier, vol. 81(1), pages 27-60, July.
    32. Christis Katsouris, 2022. "Asymptotic Theory for Unit Root Moderate Deviations in Quantile Autoregressions and Predictive Regressions," Papers 2204.02073, arXiv.org, revised Aug 2023.
    33. Stanislav Anatolyev & Nikolay Gospodinov, 2007. "Modeling Financial Return Dynamics by Decomposition," Working Papers w0095, Center for Economic and Financial Research (CEFIR).
    34. Zhang, Rongmao & Chan, Ngai Hang, 2018. "Portmanteau-type tests for unit-root and cointegration," Journal of Econometrics, Elsevier, vol. 207(2), pages 307-324.
    35. Efstathios Avdis & Jessica A. Wachter, 2013. "Maximum likelihood estimation of the equity premium," NBER Working Papers 19684, National Bureau of Economic Research, Inc.
    36. Alex Maynard & Katsumi Shimotsu & Nina Kuriyama, 2023. "Inference in Predictive Quantile Regressions," Papers 2306.00296, arXiv.org, revised May 2024.
    37. Narayan, Seema & Smyth, Russell, 2015. "The financial econometrics of price discovery and predictability," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 380-393.
    38. Nonejad, Nima, 2021. "Predicting the return on the spot price of crude oil out-of-sample by conditioning on news-based uncertainty measures: Some new empirical results," Energy Economics, Elsevier, vol. 104(C).
    39. Christis Katsouris, 2023. "Structural Break Detection in Quantile Predictive Regression Models with Persistent Covariates," Papers 2302.05193, arXiv.org.
    40. Torben G. Andersen & Rasmus T. Varneskov, 2021. "Testing for Parameter Instability and Structural Change in Persistent Predictive Regressions," NBER Working Papers 28570, National Bureau of Economic Research, Inc.
    41. Erik Hjalmarsson, 2006. "Predictive regressions with panel data," International Finance Discussion Papers 869, Board of Governors of the Federal Reserve System (U.S.).
    42. Park, Dojoon & Hahn, Jaehoon & Eom, Young Ho, 2024. "Predicting the equity premium with financial ratios: A comprehensive look over a long period in Korea," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
    43. Liyu Dou & Ulrich K. Müller, 2021. "Generalized Local‐to‐Unity Models," Econometrica, Econometric Society, vol. 89(4), pages 1825-1854, July.
    44. Georgiev, I & Harvey, DI & Leybourne, SJ & Taylor, AM, 2018. "Testing for Parameter Instability in Predictive Regression Models," Essex Finance Centre Working Papers 21162, University of Essex, Essex Business School.
    45. Paulo M.M. Rodrigues & Matei Demetrescu, 2019. "Testing for Episodic Predictability in Stock Returns," Working Papers w201906, Banco de Portugal, Economics and Research Department.
    46. Ulrich K. Müller & Mark W. Watson, 2018. "Long†Run Covariability," Econometrica, Econometric Society, vol. 86(3), pages 775-804, May.
    47. Elliott, Graham, 2011. "A control function approach for testing the usefulness of trending variables in forecast models and linear regression," Journal of Econometrics, Elsevier, vol. 164(1), pages 79-91, September.
    48. Fukang Zhu & Mengya Liu & Shiqing Ling & Zongwu Cai, 2020. "Testing for Structural Change of Predictive Regression Model to Threshold Predictive Regression Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202021, University of Kansas, Department of Economics, revised Dec 2020.
    49. Christophe Boucher & Bertrand Maillet, 2011. "Detrending Persistent Predictors," Post-Print halshs-00587775, HAL.
    50. Müller, Ulrich K. & Watson, Mark W., 2013. "Low-frequency robust cointegration testing," Journal of Econometrics, Elsevier, vol. 174(2), pages 66-81.
    51. Anibal Emiliano Da Silva Neto & Jesús Gonzalo & Jean‐Yves Pitarakis, 2021. "Uncovering Regimes in Out of Sample Forecast Errors from Predictive Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 713-741, June.
    52. Erik Hjalmarsson, 2006. "Inference in Long-Horizon Regressions," International Finance Discussion Papers 853, Board of Governors of the Federal Reserve System (U.S.).
    53. Nonejad, Nima, 2023. "Conditional out-of-sample predictability of aggregate equity returns and aggregate equity return volatility using economic variables," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 91-122.
    54. Ioannis Kasparis & Elena Andreou & Peter C.B. Phillips, 2012. "Nonparametric Predictive Regression," Cowles Foundation Discussion Papers 1878, Cowles Foundation for Research in Economics, Yale University.
    55. Benjamin Chiquoine & Erik Hjalmarsson, 2008. "Jackknifing stock return predictions," International Finance Discussion Papers 932, Board of Governors of the Federal Reserve System (U.S.).
    56. Christis Katsouris, 2024. "Robust Estimation in Network Vector Autoregression with Nonstationary Regressors," Papers 2401.04050, arXiv.org.
    57. Marc Hallin & Ramon van den Akker & Bas J.M. Werker, 2011. "A class of simple distribution-free rank-based unit root tests," Post-Print hal-00834424, HAL.
    58. Efthymios Pavlidis & Ivan Paya & David Peel, 2012. "A New Test for Rational Speculative Bubbles using Forward Exchange Rates: The Case of the Interwar German Hyperinflation," Working Papers 18599597, Lancaster University Management School, Economics Department.
    59. Seongman Moon & Carlos Velasco, 2011. "The Forward Discount Puzzle: Identi cation of Economic Assumptions," Working Papers 1112, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    60. Nima Nonejad, 2020. "Does the price of crude oil help predict the conditional distribution of aggregate equity return?," Empirical Economics, Springer, vol. 58(1), pages 313-349, January.
    61. Jacob Boudoukh & Matthew Richardson & Robert F. Whitelaw, 2008. "The Myth of Long-Horizon Predictability," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1577-1605, July.
    62. Paulo M.M. Rodrigues & Matei Demetrescu, 2016. "Residual-augmented IVX predictive regression," Working Papers w201605, Banco de Portugal, Economics and Research Department.
    63. Moreira, Humberto Ataíde & Moreira, Marcelo J., 2013. "Contributions to the Theory of Optimal Tests," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 747, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    64. Zhan Gao & Ji Hyung Lee & Ziwei Mei & Zhentao Shi, 2024. "Econometric Inference for High Dimensional Predictive Regressions," Papers 2409.10030, arXiv.org, revised Nov 2024.
    65. Nima Nonejad, 2021. "Bayesian model averaging and the conditional volatility process: an application to predicting aggregate equity returns by conditioning on economic variables," Quantitative Finance, Taylor & Francis Journals, vol. 21(8), pages 1387-1411, August.
    66. Christis Katsouris, 2023. "Bootstrapping Nonstationary Autoregressive Processes with Predictive Regression Models," Papers 2307.14463, arXiv.org.
    67. Nonejad, Nima, 2020. "A comprehensive empirical analysis of the predictive impact of the price of crude oil on aggregate equity return volatility," Journal of Commodity Markets, Elsevier, vol. 20(C).
    68. Jose Olmo, 2023. "A nonparametric predictive regression model using partitioning estimators based on Taylor expansions," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(3), pages 294-318, May.
    69. Cai, Zongwu & Chen, Haiqiang & Liao, Xiaosai, 2023. "A new robust inference for predictive quantile regression," Journal of Econometrics, Elsevier, vol. 234(1), pages 227-250.
    70. Christis Katsouris, 2022. "Partial Sum Processes of Residual-Based and Wald-type Break-Point Statistics in Time Series Regression Models," Papers 2202.00141, arXiv.org, revised Feb 2022.
    71. Werker, Bas J.M. & Zhou, Bo, 2022. "Semiparametric testing with highly persistent predictors," Journal of Econometrics, Elsevier, vol. 227(2), pages 347-370.
    72. Bo Zhou, 2023. "Semiparametrically Optimal Cointegration Test," Papers 2305.08880, arXiv.org.
    73. Fukang Zhu & Zongwu Cai & Liang Peng, 2014. "Predictive regressions for macroeconomic data," Papers 1404.7642, arXiv.org.
    74. Christis Katsouris, 2023. "Unified Inference for Dynamic Quantile Predictive Regression," Papers 2309.14160, arXiv.org, revised Nov 2023.
    75. Yuriy Gorodnichenko & Anna Mikusheva & Serena Ng, 2011. "Estimators for Persistent and Possibly Non-Stationary Data with Classical Properties," NBER Working Papers 17424, National Bureau of Economic Research, Inc.
    76. Xiaosai Liao & Xinjue Li & Qingliang Fan, 2024. "Robust Inference for Multiple Predictive Regressions with an Application on Bond Risk Premia," Papers 2401.01064, arXiv.org.
    77. Bas Werker & Bo Zhou, 2020. "Semiparametric Testing with Highly Persistent Predictors," Papers 2009.08291, arXiv.org.
    78. Christis Katsouris, 2023. "Limit Theory under Network Dependence and Nonstationarity," Papers 2308.01418, arXiv.org, revised Aug 2023.
    79. Donald W.K. Andrews & Patrik Guggenberger, 2007. "Hybrid and Size-Corrected Subsample Methods," Cowles Foundation Discussion Papers 1606, Cowles Foundation for Research in Economics, Yale University.
    80. Tu, Yundong & Xie, Xinling, 2023. "Penetrating sporadic return predictability," Journal of Econometrics, Elsevier, vol. 237(1).
    81. Daniela Osterrieder & Daniel Ventosa-Santaulària & J. Eduardo Vera-Valdés, 2015. "Unbalanced Regressions and the Predictive Equation," CREATES Research Papers 2015-09, Department of Economics and Business Economics, Aarhus University.
    82. Campbell, John & Thompson, Samuel P., 2008. "Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?," Scholarly Articles 2622619, Harvard University Department of Economics.
    83. Eiji Kurozumi & Kohei Aono, 2011. "Estimation and Inference in Predictive Regressions," Global COE Hi-Stat Discussion Paper Series gd11-192, Institute of Economic Research, Hitotsubashi University.
    84. Christis Katsouris, 2023. "Predictability Tests Robust against Parameter Instability," Papers 2307.15151, arXiv.org.
    85. Marc Hallin & Ramon van den Akker & Bas Werker, 2009. "A class of Simple Semiparametrically Efficient Rank-Based Unit Root Tests," Working Papers ECARES 2009_001, ULB -- Universite Libre de Bruxelles.
    86. Nikitas Pittis & Christina Christou & Sarantis Kalyvitis & Christis Hassapis, 2009. "Long‐Run PPP under the Presence of Near‐to‐Unit Roots: The Case of the British Pound–US Dollar Rate," Review of International Economics, Wiley Blackwell, vol. 17(1), pages 144-155, February.
    87. Chen, Yong & Eaton, Gregory W. & Paye, Bradley S., 2018. "Micro(structure) before macro? The predictive power of aggregate illiquidity for stock returns and economic activity," Journal of Financial Economics, Elsevier, vol. 130(1), pages 48-73.
    88. Bingduo Yang & Xiaohui Liu & Liang Peng & Zongwu Cai, 2018. "Unified Tests for a Dynamic Predictive Regression," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201808, University of Kansas, Department of Economics, revised Sep 2018.
    89. Paye, Bradley S., 2012. "‘Déjà vol’: Predictive regressions for aggregate stock market volatility using macroeconomic variables," Journal of Financial Economics, Elsevier, vol. 106(3), pages 527-546.
    90. Christophe Boucher & Bertrand Maillet, 2012. "Prévoir sans persistance," Documents de travail du Centre d'Economie de la Sorbonne 12001, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    91. Christis Katsouris, 2023. "Estimating Conditional Value-at-Risk with Nonstationary Quantile Predictive Regression Models," Papers 2311.08218, arXiv.org, revised Apr 2024.
    92. Moon, Seongman & Velasco, Carlos, 2013. "Tests for m-dependence based on sample splitting methods," Journal of Econometrics, Elsevier, vol. 173(2), pages 143-159.
    93. Moreira, Marcelo J. & Mourão, Rafael & Moreira, Humberto Ataíde, 2016. "A critical value function approach, with an application to persistent time-series," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 778, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    94. Tuvaandorj, Purevdorj, 2020. "Regression discontinuity designs, white noise models, and minimax," Journal of Econometrics, Elsevier, vol. 218(2), pages 587-608.
    95. Katsumi Shimotsu & Alex Maynard, 2004. "Covariance-based orthogonality tests for regressors with unknown persistence," Econometric Society 2004 North American Summer Meetings 536, Econometric Society.
    96. Chengwang Liao & Ziwei Mei & Zhentao Shi, 2024. "Nickell Meets Stambaugh: A Tale of Two Biases in Panel Predictive Regressions," Papers 2410.09825, arXiv.org.
    97. Torben G. Andersen & Rasmus T. Varneskov, 2018. "Consistent Inference for Predictive Regressions in Persistent VAR Economies," CREATES Research Papers 2018-09, Department of Economics and Business Economics, Aarhus University.
    98. Breitung, Jörg & Demetrescu, Matei, 2015. "Instrumental variable and variable addition based inference in predictive regressions," Journal of Econometrics, Elsevier, vol. 187(1), pages 358-375.
    99. Tae-Hwy Lee & Eric Hillebrand & Marcelo Medeiros, 2014. "Bagging Constrained Equity Premium Predictors," Working Papers 201421, University of California at Riverside, Department of Economics, revised Feb 2013.
    100. Yijie Fei, 2024. "A joint test of predictability and structural break in predictive regressions," Empirical Economics, Springer, vol. 67(3), pages 985-1013, September.
    101. Zongwu Cai & Seong Yeon Chang, 2018. "A New Test In A Predictive Regression with Structural Breaks," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201811, University of Kansas, Department of Economics, revised Dec 2018.
    102. Stambaugh, Robert F. & Pástor, Luboš, 2007. "Predictive Systems: Living with Imperfect Predictors," CEPR Discussion Papers 6076, C.E.P.R. Discussion Papers.
    103. Pitarakis, Jean-Yves, 2019. "Predictive Regressions," UC3M Working papers. Economics 28554, Universidad Carlos III de Madrid. Departamento de Economía.
    104. Yu-chin Chen & Kenneth Rogoff, 2006. "Are the Commodity Currencies an Exception to the Rule?," Working Papers UWEC-2006-28, University of Washington, Department of Economics, revised Mar 2012.
    105. Chevillon, Guillaume, 2017. "Robustness of Multistep Forecasts and Predictive Regressions at Intermediate and Long Horizons," ESSEC Working Papers WP1710, ESSEC Research Center, ESSEC Business School.
    106. Peter C.B. Phillips & Ye Chen, "undated". "Restricted Likelihood Ratio Tests in Predictive Regression," Cowles Foundation Discussion Papers 1968, Cowles Foundation for Research in Economics, Yale University.
    107. Hjalmarsson, Erik, 2005. "On the Predictability of Global Stock Returns," Working Papers in Economics 161, University of Gothenburg, Department of Economics.
    108. Efthymios G. Pavlidis & Ivan Paya & David A. Peel, 2018. "Using Market Expectations to Test for Speculative Bubbles in the Crude Oil Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(5), pages 833-856, August.
    109. Nonejad, Nima, 2020. "Crude oil price volatility and equity return predictability: A comparative out-of-sample study," International Review of Financial Analysis, Elsevier, vol. 71(C).
    110. Yoon, Sun-Joong, 2017. "Time-varying risk aversion and return predictability," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 327-339.
    111. Erik Hjalmarsson & Pär Österholm, 2007. "A residual-based cointegration test for near unit root variables," International Finance Discussion Papers 907, Board of Governors of the Federal Reserve System (U.S.).
    112. Phillips, Peter C.B. & Lee, Ji Hyung, 2013. "Predictive regression under various degrees of persistence and robust long-horizon regression," Journal of Econometrics, Elsevier, vol. 177(2), pages 250-264.
    113. Nima Nonejad, 2020. "A detailed look at crude oil price volatility prediction using macroeconomic variables," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(7), pages 1119-1141, November.
    114. Demetrescu, Matei, 2014. "Enhancing the local power of IVX-based tests in predictive regressions," Economics Letters, Elsevier, vol. 124(2), pages 269-273.
    115. Christophe Boucher & Bertrand Maillet, 2012. "Prévoir sans persistance," Post-Print halshs-00662771, HAL.

  11. Marcelo J. Moreira & Jack R. Porter & Gustavo A. Suarez, 2004. "Bootstrap and Higher-Order Expansion Validity When Instruments May Be Weak," Harvard Institute of Economic Research Working Papers 2048, Harvard - Institute of Economic Research.

    Cited by:

    1. Donald W.K. Andrews & James H. Stock, 2005. "Inference with Weak Instruments," NBER Technical Working Papers 0313, National Bureau of Economic Research, Inc.
    2. Iglesias Emma M., 2011. "Constrained k-class Estimators in the Presence of Weak Instruments," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(4), pages 1-13, September.
    3. Davidson, Russell & MacKinnon, James G., 2010. "Wild Bootstrap Tests for IV Regression," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(1), pages 128-144.
    4. Russell Davidson & James MacKinnon, 2006. "Bootstrap Inference In A Linear Equation Estimated By Instrumental Variables," Departmental Working Papers 2006-21, McGill University, Department of Economics.
    5. Russell Davidson & James G. MacKinnon, 2014. "Bootstrap Confidence Sets with Weak Instruments," Econometric Reviews, Taylor & Francis Journals, vol. 33(5-6), pages 651-675, August.
    6. Andrews, Donald W.K. & Guggenberger, Patrik, 2010. "Applications of subsampling, hybrid, and size-correction methods," Journal of Econometrics, Elsevier, vol. 158(2), pages 285-305, October.
    7. Guggenberger, Patrik & Smith, Richard J., 2008. "Generalized empirical likelihood tests in time series models with potential identification failure," Journal of Econometrics, Elsevier, vol. 142(1), pages 134-161, January.
    8. Angelica Gonzalez, 2007. "Angelica Gonzalez," Edinburgh School of Economics Discussion Paper Series 168, Edinburgh School of Economics, University of Edinburgh.
    9. Moreira, Marcelo J. & Porter, Jack R. & Suarez, Gustavo A., 2009. "Bootstrap validity for the score test when instruments may be weak," Journal of Econometrics, Elsevier, vol. 149(1), pages 52-64, April.
    10. Giovanni Angelini & Giuseppe Cavaliere & Luca Fanelli, 2022. "Bootstrap inference and diagnostics in state space models: With applications to dynamic macro models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 3-22, January.
    11. Phillips, Garry D.A. & Liu-Evans, Gareth, 2016. "Approximating and reducing bias in 2SLS estimation of dynamic simultaneous equation models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 734-762.
    12. Morris, Stephen D., 2017. "DSGE pileups," Journal of Economic Dynamics and Control, Elsevier, vol. 74(C), pages 56-86.

  12. Donald W.K. Andrews & Marcelo J. Moreira & James H. Stock, 2004. "Optimal Invariant Similar Tests for Instrumental Variables Regression," Cowles Foundation Discussion Papers 1476, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Marcelo J. Moreira & Jack R. Porter & Gustavo A. Suarez, 2004. "Bootstrap and Higher-Order Expansion Validity When Instruments May Be Weak," Harvard Institute of Economic Research Working Papers 2048, Harvard - Institute of Economic Research.
    2. Andrews, Donald W.K. & Marmer, Vadim, 2008. "Exactly distribution-free inference in instrumental variables regression with possibly weak instruments," Journal of Econometrics, Elsevier, vol. 142(1), pages 183-200, January.
    3. Albouy, David, 2006. "The Colonial Origins of Comparative Development: An Investigation of the Settler Mortality Data," Center for International and Development Economics Research, Working Paper Series qt8kt576x8, Center for International and Development Economics Research, Institute for Business and Economic Research, UC Berkeley.
    4. Donald W.K. Andrews & James H. Stock, 2005. "Inference with Weak Instruments," NBER Technical Working Papers 0313, National Bureau of Economic Research, Inc.
    5. Donald W.K. Andrews & Xu Cheng & Patrik Guggenberger, 2011. "Generic Results for Establishing the Asymptotic Size of Confidence Sets and Tests," Cowles Foundation Discussion Papers 1813, Cowles Foundation for Research in Economics, Yale University.
    6. Russell Davidson & James G. Mackinnon, 2015. "Bootstrap Tests for Overidentification in Linear Regression Models," Post-Print hal-01456100, HAL.
    7. Badinger, Harald, 2008. "Trade policy and productivity," European Economic Review, Elsevier, vol. 52(5), pages 867-891, July.
    8. Michael P. Murray, 2006. "Avoiding Invalid Instruments and Coping with Weak Instruments," Journal of Economic Perspectives, American Economic Association, vol. 20(4), pages 111-132, Fall.
    9. Murray Michael P., 2017. "Linear Model IV Estimation When Instruments Are Many or Weak," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-22, January.
    10. Anna Mikusheva & Brian P. Poi, 2006. "Tests and confidence sets with correct size when instruments are potentially weak," Stata Journal, StataCorp LP, vol. 6(3), pages 335-347, September.
    11. Marmer, Vadim & Yu, Zhengfei, 2015. "Efficient Inference in the Classical IV Regression Model with Weak Identification: Asymptotic Power Against Arbitrarily Large Deviations from the Null Hypothesis," Microeconomics.ca working papers vadim_marmer-2015-17, Vancouver School of Economics, revised 02 Sep 2015.
    12. Marcelo J. Moreira & Geert Ridder, 2020. "Efficiency Loss of Asymptotically Efficient Tests in an Instrumental Variables Regression," Papers 2008.13042, arXiv.org, revised Sep 2021.
    13. Humberto Moreira & Marcelo Moreira, 2016. "Optimal two-sided tests for instrumental variables regression with heteroskedastic and autocorrelated errors," CeMMAP working papers 25/16, Institute for Fiscal Studies.
    14. 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.
    15. Russell Davidson & James MacKinnon, 2006. "Bootstrap Inference In A Linear Equation Estimated By Instrumental Variables," Departmental Working Papers 2006-21, McGill University, Department of Economics.
    16. Justin McCrary & Heather Royer, 2011. "The Effect of Female Education on Fertility and Infant Health: Evidence from School Entry Policies Using Exact Date of Birth," American Economic Review, American Economic Association, vol. 101(1), pages 158-195, February.
    17. Humberto Moreira & Marcelo Moreira, 2016. "Optimal two-sided tests for instrumental variables regression with heteroskedastic and autocorrelated errors," CeMMAP working papers CWP25/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Claudio Loderer & Lukas Roth & Urs Waelchli & Petra Joerg, 2010. "Shareholder Value: Principles, Declarations, and Actions," Financial Management, Financial Management Association International, vol. 39(1), pages 5-32, March.
    19. Andreea Balan-Cohen, 2008. "Healthy, Wealthy, and Wise? The Impact of the Old Age Assistance Program on Elderly Mortality in the United States," Discussion Papers Series, Department of Economics, Tufts University 0719, Department of Economics, Tufts University.
    20. Adrian Pagan, 2007. "Weak Instruments: A Guide to the Literature," NCER Working Paper Series 13, National Centre for Econometric Research.
    21. Manu Navjeevan, 2023. "An Identification and Dimensionality Robust Test for Instrumental Variables Models," Papers 2311.14892, arXiv.org.
    22. Marmer, Vadim & Sakata, Shinichi, 2011. "Instrumental Variables Estimation and Weak-Identification-Robust Inference Based on a Conditional Quantile Restriction," Microeconomics.ca working papers vadim_marmer-2011-26, Vancouver School of Economics, revised 28 Sep 2011.
    23. Elise Coudin & Jean-Marie Dufour, 2010. "Finite and Large Sample Distribution-Free Inference in Median Regressions with Instrumental Variables," Working Papers 2010-56, Center for Research in Economics and Statistics.
    24. James G. MacKinnon, 2006. "Applications Of The Fast Double Bootstrap," Working Paper 1023, Economics Department, Queen's University.
    25. Harald Badinger, 2007. "Market size, trade, competition and productivity: evidence from OECD manufacturing industries," Applied Economics, Taylor & Francis Journals, vol. 39(17), pages 2143-2157.
    26. Richard Smith, 2005. "Weak instruments and empirical likelihood: a discussion of the papers by DWK Andrews and JH Stock and Y Kitamura," CeMMAP working papers CWP13/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    27. 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.
    28. Ying Fang, 2013. "GMM with Weak Identification and Near Exogenneity," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

  13. Marcelo J. Moreira & Brian P. Poi, 2003. "Implementing Tests with Correct Size in the Simultaneous Equation Model," Harvard Institute of Economic Research Working Papers 1993, Harvard - Institute of Economic Research.

    Cited by:

    1. Burger, Ronelle & Dasgupta, Indraneel & Owens, Trudy, 2014. "Why Pay NGOs to Involve the Community?," IZA Discussion Papers 8051, Institute of Labor Economics (IZA).
    2. Albert Park & Dean Yang & Xinzheng Shi & Yuan Jiang, 2009. "Exporting and Firm Performance: Chinese Exporters and the Asian Financial Crisis," NBER Working Papers 14632, National Bureau of Economic Research, Inc.
    3. Rui Pedro Esteves, 2007. "Quis custodiet quem? Sovereign Debt and Bondholders` Protection Before 1914," Economics Series Working Papers 323, University of Oxford, Department of Economics.
    4. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/generalized method of moments estimation and testing," Stata Journal, StataCorp LP, vol. 7(4), pages 465-506, December.
    5. Anna Mikusheva & Brian P. Poi, 2006. "Tests and confidence sets with correct size when instruments are potentially weak," Stata Journal, StataCorp LP, vol. 6(3), pages 335-347, September.
    6. Gloria ESTAPE-DUBREUIL & Consol TORREGUITART-MIRADA, 2015. "Governance Mechanisms, Social Performance Disclosure and Performance in Microfinance: Does Legal Status Matter?," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 86(1), pages 137-155, March.
    7. Temple, Jonathan & Wößmann, Ludger, 2006. "Dualism and cross-country growth regressions," Munich Reprints in Economics 19619, University of Munich, Department of Economics.
    8. Kate Rybczynski & Anindya Sen, 2018. "Employment Effects Of The Minimum Wage: Panel Data Evidence From Canadian Provinces," Contemporary Economic Policy, Western Economic Association International, vol. 36(1), pages 116-135, January.
    9. Katherine Baicker & Amitabh Chandra, 2006. "The Labor Market Effects of Rising Health Insurance Premiums," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 609-634, July.
    10. Yuki Higuchi & Miyuki Sasaki & Makiko Nakamuro, 2020. "Impacts of an Information and Communication Technology-Assisted Program on Attitudes and English Communication Abilities: An Experiment in a Japanese High School," Asian Development Review, MIT Press, vol. 37(2), pages 100-133, September.
    11. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/GMM estimation and testing," CERT Discussion Papers 0706, Centre for Economic Reform and Transformation, Heriot Watt University.
    12. Asmaa Elbadawy, 2013. "The Effect of Tutoring on Secondary Streaming in Egypt," Working Papers 769, Economic Research Forum, revised Sep 2013.
    13. Brian P. Poi, 2006. "Jackknife instrumental variables estimation in Stata," Stata Journal, StataCorp LP, vol. 6(3), pages 364-376, September.
    14. Sebastian Kripfganz & Jan F. Kiviet, 2021. "kinkyreg: Instrument-free inference for linear regression models with endogenous regressors," Stata Journal, StataCorp LP, vol. 21(3), pages 772-813, September.
    15. Chun, Hyunbae & Kim, Jung-Wook & Morck, Randall & Yeung, Bernard, 2008. "Creative destruction and firm-specific performance heterogeneity," Journal of Financial Economics, Elsevier, vol. 89(1), pages 109-135, July.
    16. Seo, Hojun, 2021. "Peer effects in corporate disclosure decisions," Journal of Accounting and Economics, Elsevier, vol. 71(1).
    17. Urbain Thierry Yogo, 2015. "Terrorism and Fiscal Policy Volatility in Developing Countries: Evidence from cross-country and Panel Data," CERDI Working papers halshs-01161601, HAL.
    18. Elise Coudin & Jean-Marie Dufour, 2010. "Finite and Large Sample Distribution-Free Inference in Median Regressions with Instrumental Variables," Working Papers 2010-56, Center for Research in Economics and Statistics.
    19. Sen, Anindya & Rybczynski, Kathleen & Van De Waal, Corey, 2011. "Teen employment, poverty, and the minimum wage: Evidence from Canada," Labour Economics, Elsevier, vol. 18(1), pages 36-47, January.
    20. Urbain Thierry Yogo, 2015. "Terrorism and Fiscal Policy Volatility in Developing Countries: Evidence from cross-country and Panel Data," Working Papers halshs-01161601, HAL.
    21. Mentzakis, Emmanouil & Suhrcke, Marc & Roberts, Bayard & Murphy, Adrianna & McKee, Martin, 2013. "Estimating the causal effect of alcohol consumption on well-being for a cross-section of 9 former Soviet Union countries," Social Science & Medicine, Elsevier, vol. 89(C), pages 1-7.
    22. Awaworyi Churchill, Sefa & Inekwe, John & Ivanovski, Kris & Smyth, Russell, 2023. "Human capital and energy consumption: Six centuries of evidence from the United Kingdom," Energy Economics, Elsevier, vol. 117(C).

  14. Marcelo J. Moreira, 2003. "A General Theory of Hypothesis Testing in the Simultaneous Equations Model," Harvard Institute of Economic Research Working Papers 1992, Harvard - Institute of Economic Research.

    Cited by:

    1. Albouy, David, 2006. "The Colonial Origins of Comparative Development: An Investigation of the Settler Mortality Data," Center for International and Development Economics Research, Working Paper Series qt8kt576x8, Center for International and Development Economics Research, Institute for Business and Economic Research, UC Berkeley.
    2. Jean-Marie Dufour & Lynda Khalaf & Maral Kichian, 2005. "Inflation Dynamics and the New Keynesian Phillips Curve: an Identification Robust Econometric Analysis," CIRANO Working Papers 2005s-30, CIRANO.
    3. Maral Kichian & Jean-Marie Dufour & Lynda Khalaf, 2004. "Are New Keynesian Phillips Curves Identified ?," Computing in Economics and Finance 2004 56, Society for Computational Economics.
    4. 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.
    5. 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.
    6. Lynda Khalaf & Maral Kichian, 2004. "Estimating New Keynesian Phillips Curves Using Exact Methods," Staff Working Papers 04-11, Bank of Canada.

Articles

  1. David S. Lee & Justin McCrary & Marcelo J. Moreira & Jack Porter, 2022. "Valid t-Ratio Inference for IV," American Economic Review, American Economic Association, vol. 112(10), pages 3260-3290, October.
    See citations under working paper version above.
  2. Bertanha, Marinho & Moreira, Marcelo J., 2020. "Impossible inference in econometrics: Theory and applications," Journal of Econometrics, Elsevier, vol. 218(2), pages 247-270.
    See citations under working paper version above.
  3. Moreira, Humberto & Moreira, Marcelo J., 2019. "Optimal two-sided tests for instrumental variables regression with heteroskedastic and autocorrelated errors," Journal of Econometrics, Elsevier, vol. 213(2), pages 398-433.
    See citations under working paper version above.
  4. 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.

    Cited by:

    1. 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.
    2. Michael Keane & Timothy Neal, 2021. "A Practical Guide to Weak Instruments," Discussion Papers 2021-05b, School of Economics, The University of New South Wales.
    3. Keane, Michael & Neal, Timothy, 2023. "Instrument strength in IV estimation and inference: A guide to theory and practice," Journal of Econometrics, Elsevier, vol. 235(2), pages 1625-1653.
    4. Marmer, Vadim & Yu, Zhengfei, 2015. "Efficient Inference in the Classical IV Regression Model with Weak Identification: Asymptotic Power Against Arbitrarily Large Deviations from the Null Hypothesis," Microeconomics.ca working papers vadim_marmer-2015-17, Vancouver School of Economics, revised 02 Sep 2015.
    5. Humberto Moreira & Marcelo Moreira, 2016. "Optimal two-sided tests for instrumental variables regression with heteroskedastic and autocorrelated errors," CeMMAP working papers CWP25/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Donna Feir & Thomas Lemieux & Vadim Marmer, 2016. "Weak Identification in Fuzzy Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 185-196, April.
    7. Nicolas Van de Sijpe & Frank Windmeijer, 2021. "On the Power of the Conditional Likelihood Ratio and Related Tests for Weak-Instrument Robust Inference," Economics Papers 2020-W09, Economics Group, Nuffield College, University of Oxford.
    8. Michael Keane & Timothy Neal, 2021. "A New Perspective on Weak Instruments," Discussion Papers 2021-05a, School of Economics, The University of New South Wales.

  5. Moreira, Marcelo J. & Porter, Jack R. & Suarez, Gustavo A., 2009. "Bootstrap validity for the score test when instruments may be weak," Journal of Econometrics, Elsevier, vol. 149(1), pages 52-64, April.

    Cited by:

    1. Wang, Wenjie & Zhang, Yichong, 2024. "Wild bootstrap inference for instrumental variables regressions with weak and few clusters," Journal of Econometrics, Elsevier, vol. 241(1).
    2. Wang, Wenjie, 2022. "Wild bootstrap test of overidentification with many instruments and heteroskedasticity," MPRA Paper 115168, University Library of Munich, Germany.
    3. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018. "Coverage Error Optimal Confidence Intervals for Local Polynomial Regression," Papers 1808.01398, arXiv.org, revised Jul 2021.
    4. Manuel Denzer & Constantin Weiser, 2021. "Beyond F-statistic - A General Approach for Assessing Weak Identification," Working Papers 2107, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    5. Wenjie Wang & Yichong Zhang, 2021. "Wild Bootstrap for Instrumental Variables Regressions with Weak and Few Clusters," Papers 2108.13707, arXiv.org, revised Jan 2024.
    6. 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.
    7. Noud P.A. van Giersbergen, 2011. "Bootstrapping Subset Test Statistics in IV Regression," UvA-Econometrics Working Papers 11-08, Universiteit van Amsterdam, Dept. of Econometrics.
    8. Wenjie Wang, 2012. "Bootstrapping Anderson-Rubin Statistic and J Statistic in Linear IV Models with Many Instruments," KIER Working Papers 810, Kyoto University, Institute of Economic Research.
    9. Wang, Wenjie, 2020. "On the Inconsistency of Nonparametric Bootstraps for the Subvector Anderson-Rubin Test," MPRA Paper 99109, University Library of Munich, Germany.
    10. Purevdorj Tuvaandorj, 2021. "Robust Permutation Tests in Linear Instrumental Variables Regression," Papers 2111.13774, arXiv.org, revised Jul 2024.
    11. Wang, Wenjie, 2021. "Wild Bootstrap for Instrumental Variables Regression with Weak Instruments and Few Clusters," MPRA Paper 106227, University Library of Munich, Germany.
    12. Russell Davidson & James G. MacKinnon, 2014. "Bootstrap Confidence Sets with Weak Instruments," Econometric Reviews, Taylor & Francis Journals, vol. 33(5-6), pages 651-675, August.
    13. Doko Tchatoka, Firmin, 2013. "On bootstrap validity for specification tests with weak instruments," Working Papers 16875, University of Tasmania, Tasmanian School of Business and Economics, revised 05 Aug 2013.
    14. Rachida Ouysse, 2014. "On the performance of block-bootstrap continuously updated GMM for a class of non-linear conditional moment models," Computational Statistics, Springer, vol. 29(1), pages 233-261, February.
    15. Doko Tchatoka, Firmin & Wang, Wenjie, 2020. "Uniform Inference after Pretesting for Exogeneity," MPRA Paper 99243, University Library of Munich, Germany.
    16. Wang, Wenjie, 2020. "On Bootstrap Validity for the Test of Overidentifying Restrictions with Many Instruments and Heteroskedasticity," MPRA Paper 104858, University Library of Munich, Germany.
    17. Andrews, Donald W.K. & Guggenberger, Patrik, 2010. "Applications of subsampling, hybrid, and size-correction methods," Journal of Econometrics, Elsevier, vol. 158(2), pages 285-305, October.
    18. Guggenberger, Patrik & Smith, Richard J., 2008. "Generalized empirical likelihood tests in time series models with potential identification failure," Journal of Econometrics, Elsevier, vol. 142(1), pages 134-161, January.
    19. Guggenberger, Patrik & Ramalho, Joaquim J.S. & Smith, Richard J., 2012. "GEL statistics under weak identification," Journal of Econometrics, Elsevier, vol. 170(2), pages 331-349.
    20. 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.
    21. Keith Finlay & Leandro M. Magnusson, 2019. "Two applications of wild bootstrap methods to improve inference in cluster‐IV models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 911-933, September.
    22. Firmin Doko Tchatoka & Wenjie Wang, 2015. "On Bootstrap Validity for Subset Anderson-Rubin Test in IV Regressions," School of Economics and Public Policy Working Papers 2015-01, University of Adelaide, School of Economics and Public Policy.
    23. Lucio Palazzo & Riccardo Ievoli, 2022. "A Semiparametric Approach to Test for the Presence of INAR: Simulations and Empirical Applications," Mathematics, MDPI, vol. 10(14), pages 1-18, July.
    24. Keith Finlay & Leandro M. Magnusson, 2014. "Bootstrap Methods for Inference with Cluster-Sample IV Models," Economics Discussion / Working Papers 14-12, The University of Western Australia, Department of Economics.

  6. Moreira, Marcelo J., 2009. "Tests with correct size when instruments can be arbitrarily weak," Journal of Econometrics, Elsevier, vol. 152(2), pages 131-140, October.

    Cited by:

    1. Dionissi Aliprantis, 2012. "Assessing the evidence on neighborhood effects from Moving to Opportunity," Working Papers (Old Series) 1122R, Federal Reserve Bank of Cleveland.
    2. 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.
    3. David S. Lee & Justin McCrary & Marcelo J. Moreira & Jack R. Porter, 2021. "Valid t-ratio Inference for IV," NBER Working Papers 29124, National Bureau of Economic Research, Inc.
    4. Marcelo J. Moreira & Jack R. Porter & Gustavo A. Suarez, 2004. "Bootstrap and Higher-Order Expansion Validity When Instruments May Be Weak," Harvard Institute of Economic Research Working Papers 2048, Harvard - Institute of Economic Research.
    5. Böhme, Marcus H. & Persian, Ruth & Stöhr, Tobias, 2015. "Alone but better off? Adult child migration and health of elderly parents in Moldova," Journal of Health Economics, Elsevier, vol. 39(C), pages 211-227.
    6. Andrews, Donald W.K. & Marmer, Vadim, 2008. "Exactly distribution-free inference in instrumental variables regression with possibly weak instruments," Journal of Econometrics, Elsevier, vol. 142(1), pages 183-200, January.
    7. Crudu, Federico & Mellace, Giovanni & Sándor, Zsolt, 2021. "Inference In Instrumental Variable Models With Heteroskedasticity And Many Instruments," Econometric Theory, Cambridge University Press, vol. 37(2), pages 281-310, April.
    8. Donald W.K. Andrews & James H. Stock, 2005. "Inference with Weak Instruments," NBER Technical Working Papers 0313, National Bureau of Economic Research, Inc.
    9. Donald W.K. Andrews & Xu Cheng & Patrik Guggenberger, 2011. "Generic Results for Establishing the Asymptotic Size of Confidence Sets and Tests," Cowles Foundation Discussion Papers 1813, Cowles Foundation for Research in Economics, Yale University.
    10. Cipollone, Piero & Rosolia, Alfonso, 2011. "Schooling and youth mortality : learning from a mass military exemption," Policy Research Working Paper Series 5680, The World Bank.
    11. Russell Davidson & James G. Mackinnon, 2015. "Bootstrap Tests for Overidentification in Linear Regression Models," Post-Print hal-01456100, HAL.
    12. Michelle Yin & Garima Siwach & Dajun Lin, 2023. "Vocational Rehabilitation Services and Labor Market Outcomes for Transition‐Age Youth with Disabilities in Maine," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(1), pages 166-197, January.
    13. Antoine, Bertille & Renault, Eric, 2020. "Testing identification strength," Journal of Econometrics, Elsevier, vol. 218(2), pages 271-293.
    14. Joshua Angrist & Michal Kolesár, 2022. "One Instrument to Rule Them All: The Bias and Coverage of Just-ID IV," Working Papers 2022-17, Princeton University. Economics Department..
    15. Atif Mian & Amir Sufi & Francesco Trebbi, 2011. "Foreclosures, House Prices, and the Real Economy," IMES Discussion Paper Series 11-E-27, Institute for Monetary and Economic Studies, Bank of Japan.
    16. Carlos Medel, 2015. "Inflation Dynamics and the Hybrid Neo Keynesian Phillips Curve: The Case of Chile," Working Papers Central Bank of Chile 769, Central Bank of Chile.
    17. Liu, Gordon G. & Xue, Xindong & Yu, Chenxi & Wang, Yafeng, 2016. "How does social capital matter to the health status of older adults? Evidence from the China Health and Retirement Longitudinal Survey," Economics & Human Biology, Elsevier, vol. 22(C), pages 177-189.
    18. Michael P. Murray, 2006. "Avoiding Invalid Instruments and Coping with Weak Instruments," Journal of Economic Perspectives, American Economic Association, vol. 20(4), pages 111-132, Fall.
    19. Anna Mikusheva & Brian P. Poi, 2006. "Tests and confidence sets with correct size when instruments are potentially weak," Stata Journal, StataCorp LP, vol. 6(3), pages 335-347, September.
    20. Freedman, Matthew, 2012. "Teaching new markets old tricks: The effects of subsidized investment on low-income neighborhoods," Journal of Public Economics, Elsevier, vol. 96(11), pages 1000-1014.
    21. Michael Keane & Timothy Neal, 2021. "A Practical Guide to Weak Instruments," Discussion Papers 2021-05b, School of Economics, The University of New South Wales.
    22. Ribeiro, André L.P. & Hotta, Luiz K., 2013. "An analysis of contagion among Asian countries using the canonical model of contagion," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 62-69.
    23. Joe Hirschberg & Jenny Lye, 2017. "Alternative Graphical Representations of the Confidence Intervals for the Structural Coefficient from Exactly Identified Two-Stage Least Squares," Department of Economics - Working Papers Series 2026, The University of Melbourne.
    24. Sriananthakumar, Sivagowry, 2015. "Approximate Non-Similar critical values based tests vs Maximized Monte Carlo tests," Economic Modelling, Elsevier, vol. 49(C), pages 387-394.
    25. John C. Chao & Norman Rasmus Swanson, 2004. "Alternative Approximations of the Bias and MSE of the IV Estimator Under Weak Identification with an Application to Bias Correction," Yale School of Management Working Papers ysm375, Yale School of Management.
    26. Donald W. K. Andrews & Xu Cheng, 2012. "Estimation and Inference With Weak, Semi‐Strong, and Strong Identification," Econometrica, Econometric Society, vol. 80(5), pages 2153-2211, September.
    27. Keane, Michael & Neal, Timothy, 2023. "Instrument strength in IV estimation and inference: A guide to theory and practice," Journal of Econometrics, Elsevier, vol. 235(2), pages 1625-1653.
    28. Michael Keane & Timothy Neal, 2022. "Robust Inference for the Frisch Labor Supply Elasticity," Discussion Papers 2021-07d, School of Economics, The University of New South Wales.
    29. Régis Barnichon & Geert Mesters, 2019. "Identifying Modern Macro Equations with Old Shocks," Working Papers 1097, Barcelona School of Economics.
    30. 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.
    31. Marcelo J. Moreira & Geert Ridder, 2020. "Efficiency Loss of Asymptotically Efficient Tests in an Instrumental Variables Regression," Papers 2008.13042, arXiv.org, revised Sep 2021.
    32. Höckel, Lisa Sofie & Santos Silva, Manuel & Stöhr, Tobias, 2015. "Can parental migration reduce petty corruption in education?," Kiel Working Papers 2018, Kiel Institute for the World Economy (IfW Kiel).
    33. Di Liberto, Adriana & Sideri, Marco, 2015. "Past dominations, current institutions and the Italian regional economic performance," European Journal of Political Economy, Elsevier, vol. 38(C), pages 12-41.
    34. Andrews, Donald W.K. & Moreira, Marcelo J. & Stock, James H., 2008. "Efficient two-sided nonsimilar invariant tests in IV regression with weak instruments," Journal of Econometrics, Elsevier, vol. 146(2), pages 241-254, October.
    35. Donald W.K. Andrews, 2011. "Similar-on-the-Boundary Tests for Moment Inequalities Exist, But Have Poor Power," Cowles Foundation Discussion Papers 1815R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2012.
    36. Humberto Moreira & Marcelo Moreira, 2016. "Optimal two-sided tests for instrumental variables regression with heteroskedastic and autocorrelated errors," CeMMAP working papers CWP25/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    37. Claudio Loderer & Lukas Roth & Urs Waelchli & Petra Joerg, 2010. "Shareholder Value: Principles, Declarations, and Actions," Financial Management, Financial Management Association International, vol. 39(1), pages 5-32, March.
    38. Han Zhang & Jing Qin & Sonja I. Berndt & Demetrius Albanes & Lu Deng & Mitchell H. Gail & Kai Yu, 2020. "On Mendelian randomization analysis of case‐control study," Biometrics, The International Biometric Society, vol. 76(2), pages 380-391, June.
    39. Russell Davidson & James G. MacKinnon, 2014. "Bootstrap Confidence Sets with Weak Instruments," Econometric Reviews, Taylor & Francis Journals, vol. 33(5-6), pages 651-675, August.
    40. Joel L. Horowitz, 2018. "Non-Asymptotic Inference in Instrumental Variables Estimation," Papers 1809.03600, arXiv.org.
    41. Horowitz, Joel L., 2021. "Bounding the difference between true and nominal rejection probabilities in tests of hypotheses about instrumental variables models," Journal of Econometrics, Elsevier, vol. 222(2), pages 1057-1082.
    42. Doko Tchatoka, Firmin, 2013. "On bootstrap validity for specification tests with weak instruments," Working Papers 16875, University of Tasmania, Tasmanian School of Business and Economics, revised 05 Aug 2013.
    43. Hyunseung Kang, 2023. "Discussion on “Instrumented difference‐in‐differences” by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy & Dylan S. Small," Biometrics, The International Biometric Society, vol. 79(2), pages 592-596, June.
    44. Pötscher, Benedikt M. & Preinerstorfer, David, 2018. "Controlling the size of autocorrelation robust tests," Journal of Econometrics, Elsevier, vol. 207(2), pages 406-431.
    45. Chen, Li-Ju, 2009. "Women in Politics: A New Instrument for Studying the Impact of Education on Growth," Research Papers in Economics 2009:2, Stockholm University, Department of Economics.
    46. Silva, Felipe Bastos Gurgel, 2021. "Fiscal Deficits, Bank Credit Risk, and Loan-Loss Provisions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 56(5), pages 1537-1589, August.
    47. Kleiner, Kristoph & Stoffman, Noah & Yonker, Scott E., 2021. "Friends with bankruptcy protection benefits," Journal of Financial Economics, Elsevier, vol. 139(2), pages 578-605.
    48. Diana Gabrielyan & Lenno Uusküla, 2022. "Inflation Expectations And Consumption With Machine Learning," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 142, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    49. Donald W.K. Andrews & Patrik Guggenberger, 2007. "Hybrid and Size-Corrected Subsample Methods," Cowles Foundation Discussion Papers 1606, Cowles Foundation for Research in Economics, Yale University.
    50. Spiros Bougheas & Alessia Isopi & Trudy Owens, 2022. "NGOs and donors' funding: Evidence from Uganda," Discussion Papers 2022-04, University of Nottingham, CREDIT.
    51. Manu Navjeevan, 2023. "An Identification and Dimensionality Robust Test for Instrumental Variables Models," Papers 2311.14892, arXiv.org.
    52. Joel L. Horowitz, 2017. "Non-asymptotic inference in instrumental variables estimation," CeMMAP working papers CWP46/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    53. Ronelle Burger & Trudy Owens, 2011. "Receive Grants or Perish? The Survival Prospects of African Nongovernmental Organizations," Discussion Papers 11/07, University of Nottingham, CREDIT.
    54. Nicolas Van de Sijpe & Frank Windmeijer, 2021. "On the Power of the Conditional Likelihood Ratio and Related Tests for Weak-Instrument Robust Inference," Economics Papers 2020-W09, Economics Group, Nuffield College, University of Oxford.
    55. Spiros Bougheas & Alessia Isopi & Trudy Owens, 2012. "How do Donors Allocate Funds to NGOs? Evidence from Uganda," Discussion Papers 12/08, University of Nottingham, CREDIT.
    56. Michael Keane & Timothy Neal, 2021. "2SLS Using Weak Instruments: Implications for Estimating the Frisch Labor Supply Elasticity," Discussion Papers 2021-07, School of Economics, The University of New South Wales.
    57. Richard Smith, 2005. "Weak instruments and empirical likelihood: a discussion of the papers by DWK Andrews and JH Stock and Y Kitamura," CeMMAP working papers CWP13/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    58. Justin McCrary, 2002. "Using Electoral Cycles in Police Hiring to Estimate the Effect of Police on Crime: Comment," American Economic Review, American Economic Association, vol. 92(4), pages 1236-1243, September.
    59. Martin Emil Jakobsen & Jonas Peters, 2022. "Distributional robustness of K-class estimators and the PULSE [The colonial origins of comparative development: An empirical investigation]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 404-432.
    60. 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.
    61. Guggenberger, Patrik, 2012. "A note on the relation between local power and robustness to misspecification," Economics Letters, Elsevier, vol. 116(2), pages 133-135.
    62. Badi H. Baltagi & Chihwa Kao & Long Liu, 2012. "On The Estimation and Testing of Fixed Effects Panel Data Models with Weak Instruments," Center for Policy Research Working Papers 143, Center for Policy Research, Maxwell School, Syracuse University.
    63. Hirschberg, Joe & Lye, Jenny, 2017. "Inverting the indirect—The ellipse and the boomerang: Visualizing the confidence intervals of the structural coefficient from two-stage least squares," Journal of Econometrics, Elsevier, vol. 199(2), pages 173-183.
    64. Andrin Pelican & Bryan S. Graham, 2020. "An optimal test for strategic interaction in social and economic network formation between heterogeneous agents," Papers 2009.00212, arXiv.org, revised May 2022.
    65. Marcelo Moreira, 2008. "A Maximum Likelihood Method for the Incidental Parameter Problem," NBER Working Papers 13787, National Bureau of Economic Research, Inc.
    66. Tam, Henry & Lai, Liona, 2009. "Explaining the equity premium in Hong Kong with C-CAPM: The use of emigration growth as an instrument," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(3), pages 520-533, July.
    67. Joel L. Horowitz, 2017. "Non-asymptotic inference in instrumental variables estimation," CeMMAP working papers 46/17, Institute for Fiscal Studies.
    68. Carlos Medel, 2021. "Forecasting Brazilian Inflation with the Hybrid New Keynesian Phillips Curve: Assessing the Predictive Role of Trading Partners," Working Papers Central Bank of Chile 900, Central Bank of Chile.
    69. Taner Osman & Tom Kemeny, 2022. "Local job multipliers revisited," Journal of Regional Science, Wiley Blackwell, vol. 62(1), pages 150-170, January.
    70. Joel L. Horowitz, 2018. "Non-asymptotic inference in instrumental variables estimation," CeMMAP working papers CWP52/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    71. Cunningham, Scott & Kendall, Todd D., 2011. "Prostitution 2.0: The changing face of sex work," Journal of Urban Economics, Elsevier, vol. 69(3), pages 273-287, May.

  7. Gary Chamberlain & Marcelo J. Moreira, 2009. "Decision Theory Applied to a Linear Panel Data Model," Econometrica, Econometric Society, vol. 77(1), pages 107-133, January.

    Cited by:

    1. Jose Diogo Barbosa & Marcelo Moreira, 2017. "Likelihood inference and the role of initial conditions for the dynamic panel data model," CeMMAP working papers CWP04/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Javier Álvarez & Manuel Arellano, 2004. "Robust Likelihood Estimation of Dynamic Panel Data Models," Working Papers wp2004_0421, CEMFI.
    3. Federico Martellosio, 2020. "Non-Identifiability in Network Autoregressions," Papers 2011.11084, arXiv.org, revised Jun 2022.
    4. Gary Chamberlain, 2016. "Fixed Effects, Invariance, and Spatial Variation in Intergenerational Mobility," American Economic Review, American Economic Association, vol. 106(5), pages 400-404, May.
    5. Jose Diogo Barbosa & Marcelo Moreira, 2017. "Likelihood inference and the role of initial conditions for the dynamic panel data model," CeMMAP working papers 04/17, Institute for Fiscal Studies.
    6. Hyungsik Roger Moon & Martin Weidner, 2018. "Nuclear Norm Regularized Estimation of Panel Regression Models," Papers 1810.10987, arXiv.org, revised Jun 2023.
    7. Kociecki, Andrzej, 2012. "Orbital Priors for Time-Series Models," MPRA Paper 42804, University Library of Munich, Germany.
    8. Dhaene, Geert & Sun, Yutao, 2021. "Second-order corrected likelihood for nonlinear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 220(2), pages 227-252.
    9. Bai, Jushan, 2024. "Likelihood approach to dynamic panel models with interactive effects," Journal of Econometrics, Elsevier, vol. 240(1).
    10. Marc Hallin & Marcelo Moreira J. & Alexei Onatski, 2013. "Group Invariance, Likelihood Ratio Tests, and the Incidental Parameter Problem in a High-Dimensional Linear Model," Working Papers ECARES ECARES 2013-04, ULB -- Universite Libre de Bruxelles.
    11. Charles F. Manski, 2019. "Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald," NBER Working Papers 26596, National Bureau of Economic Research, Inc.
    12. Stephane Bonhomme & Angela Denis, 2024. "Estimating Heterogeneous Effects: Applications to Labor Economics," Papers 2404.01495, arXiv.org.
    13. Jann Spiess, 2017. "Unbiased Shrinkage Estimation," Papers 1708.06436, arXiv.org, revised Oct 2017.
    14. Kolesár, Michal, 2018. "Minimum distance approach to inference with many instruments," Journal of Econometrics, Elsevier, vol. 204(1), pages 86-100.
    15. Geert Dhaene & Koen Jochmans, 2011. "An Adjusted profile likelihood for non-stationary panel data models with fixed effects," Working Papers hal-01073732, HAL.
    16. Marcelo Moreira, 2008. "A Maximum Likelihood Method for the Incidental Parameter Problem," NBER Working Papers 13787, National Bureau of Economic Research, Inc.

  8. Andrews, Donald W.K. & Moreira, Marcelo J. & Stock, James H., 2008. "Efficient two-sided nonsimilar invariant tests in IV regression with weak instruments," Journal of Econometrics, Elsevier, vol. 146(2), pages 241-254, October.

    Cited by:

    1. Donald W.K. Andrews & Xu Cheng & Patrik Guggenberger, 2011. "Generic Results for Establishing the Asymptotic Size of Confidence Sets and Tests," Cowles Foundation Discussion Papers 1813, Cowles Foundation for Research in Economics, Yale University.
    2. Sriananthakumar, Sivagowry, 2015. "Approximate Non-Similar critical values based tests vs Maximized Monte Carlo tests," Economic Modelling, Elsevier, vol. 49(C), pages 387-394.
    3. Kleibergen, Frank, 2021. "Efficient size correct subset inference in homoskedastic linear instrumental variables regression," Journal of Econometrics, Elsevier, vol. 221(1), pages 78-96.
    4. Müller, Ulrich K. & Watson, Mark W., 2013. "Low-frequency robust cointegration testing," Journal of Econometrics, Elsevier, vol. 174(2), pages 66-81.
    5. Donald W.K. Andrews, 2011. "Similar-on-the-Boundary Tests for Moment Inequalities Exist, But Have Poor Power," Cowles Foundation Discussion Papers 1815R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2012.
    6. Donald W.K. Andrews & Panle Jia, 2008. "Inference for Parameters Defined by Moment Inequalities: A Recommended Moment Selection Procedure," Cowles Foundation Discussion Papers 1676R, Cowles Foundation for Research in Economics, Yale University, revised Aug 2011.
    7. Isaiah Andrews & Anna Mikusheva, 2016. "Conditional Inference With a Functional Nuisance Parameter," Econometrica, Econometric Society, vol. 84(4), pages 1571-1612, July.
    8. Andrews, Donald W.K. & Guggenberger, Patrik, 2010. "Applications of subsampling, hybrid, and size-correction methods," Journal of Econometrics, Elsevier, vol. 158(2), pages 285-305, October.
    9. Luis Aranda & Martin Daniel Siyaranamual, 2014. "Are Smarter People Better Samaritans? Effect of Cognitive Abilities on Pro-Social Behaviors," Working Papers in Economics and Development Studies (WoPEDS) 201405, Department of Economics, Padjadjaran University, revised May 2014.
    10. Kolesár, Michal, 2018. "Minimum distance approach to inference with many instruments," Journal of Econometrics, Elsevier, vol. 204(1), pages 86-100.
    11. Drakos, A.A. & Bekiris, F.V., 2010. "Corporate performance, managerial ownership and endogeneity: A simultaneous equations analysis for the Athens stock exchange," Research in International Business and Finance, Elsevier, vol. 24(1), pages 24-38, January.
    12. Maxwell L. King & Sivagowry Sriananthakumar, 2015. "Point Optimal Testing: A Survey of the Post 1987 Literature," Monash Econometrics and Business Statistics Working Papers 5/15, Monash University, Department of Econometrics and Business Statistics.

  9. 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.

    Cited by:

    1. Hanushek, Eric A. & Wößmann, Ludger, 2012. "Do better schools lead to more growth? Cognitive skills, economic outcomes, and causation," Munich Reprints in Economics 20400, University of Munich, Department of Economics.
    2. Kilponen Juha, 2012. "Consumption, Leisure and Borrowing Constraints," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-25, May.
    3. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    4. Anna Mikusheva & Brian P. Poi, 2006. "Tests and confidence sets with correct size when instruments are potentially weak," Stata Journal, StataCorp LP, vol. 6(3), pages 335-347, September.
    5. Christa N. Brunnschweiler & Steven Poelhekke, 2021. "Pushing One's Luck: Petroleum Ownership and Discoveries," CESifo Working Paper Series 9169, CESifo.
    6. Michael Keane & Timothy Neal, 2021. "A Practical Guide to Weak Instruments," Discussion Papers 2021-05b, School of Economics, The University of New South Wales.
    7. 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.
    8. Keane, Michael & Neal, Timothy, 2023. "Instrument strength in IV estimation and inference: A guide to theory and practice," Journal of Econometrics, Elsevier, vol. 235(2), pages 1625-1653.
    9. Guo, Zijian & Kang, Hyunseung & Cai, T. Tony & Small, Dylan S., 2018. "Testing endogeneity with high dimensional covariates," Journal of Econometrics, Elsevier, vol. 207(1), pages 175-187.
    10. Kenneth Harttgen & Matthias Opfinger, 2014. "National Identity and Religious Diversity," Kyklos, Wiley Blackwell, vol. 67(3), pages 346-367, August.
    11. Andrews, Donald W.K. & Moreira, Marcelo J. & Stock, James H., 2008. "Efficient two-sided nonsimilar invariant tests in IV regression with weak instruments," Journal of Econometrics, Elsevier, vol. 146(2), pages 241-254, October.
    12. Humberto Moreira & Marcelo Moreira, 2016. "Optimal two-sided tests for instrumental variables regression with heteroskedastic and autocorrelated errors," CeMMAP working papers CWP25/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Mikusheva, Anna, 2013. "Survey on statistical inferences in weakly-identified instrumental variable models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 29(1), pages 117-131.
    14. Andreea Balan-Cohen, 2008. "Healthy, Wealthy, and Wise? The Impact of the Old Age Assistance Program on Elderly Mortality in the United States," Discussion Papers Series, Department of Economics, Tufts University 0719, Department of Economics, Tufts University.
    15. Russell Davidson & James G. MacKinnon, 2014. "Bootstrap Confidence Sets with Weak Instruments," Econometric Reviews, Taylor & Francis Journals, vol. 33(5-6), pages 651-675, August.
    16. James Andreoni & Abigail Payne, 2007. "Crowding out Both Sides of the Philanthropy Market: Evidence from a Panel of Charities," Levine's Bibliography 122247000000001769, UCLA Department of Economics.
    17. Long Qian & Lixian Liu & Hongbo Liu & Xinjie Shi, 2024. "How does Migration Impact Individuals’ Public Safety Perceptions? Evidence from China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 174(2), pages 503-524, September.
    18. Ashish Patel & Dipender Gill & Paul Newcombe & Stephen Burgess, 2023. "Conditional inference in cis‐Mendelian randomization using weak genetic factors," Biometrics, The International Biometric Society, vol. 79(4), pages 3458-3471, December.
    19. Andrews, Donald W.K. & Guggenberger, Patrik, 2010. "Applications of subsampling, hybrid, and size-correction methods," Journal of Econometrics, Elsevier, vol. 158(2), pages 285-305, October.
    20. Hanushek, Eric A. & Wößmann, Ludger, 2012. "Schooling, educational achievement, and the Latin American growth puzzle," Munich Reprints in Economics 20399, University of Munich, Department of Economics.
    21. Keith Finlay & Leandro M. Magnusson, 2009. "Implementing weak-instrument robust tests for a general class of instrumental-variables models," Stata Journal, StataCorp LP, vol. 9(3), pages 398-421, September.
    22. Konstantinos Angelopoulos & George Economides, 2008. "Fiscal policy, rent seeking, and growth under electoral uncertainty: theory and evidence from the OECD," Canadian Journal of Economics, Canadian Economics Association, vol. 41(4), pages 1375-1405, November.
    23. Andreas A. Andrikopoulos & Dimitrios C. Gkountanis, 2011. "Issues and Models in Applied Econometrics: A partial survey," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 9(2), pages 107-165.
    24. Riccardo Ciacci & Jorge García-Hombrados & Ayesha Zainudeen, 2020. "Mobile phone network and migration: evidence from Myanmar," MPIDR Working Papers WP-2020-016, Max Planck Institute for Demographic Research, Rostock, Germany.
    25. Noel Johnson & Courtney LaFountain & Steven Yamarik, 2011. "Corruption is bad for growth (even in the United States)," Public Choice, Springer, vol. 147(3), pages 377-393, June.
    26. Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael, 2012. "Optimal inference for instrumental variables regression with non-Gaussian errors," Journal of Econometrics, Elsevier, vol. 167(1), pages 1-15.
    27. Elise Coudin & Jean-Marie Dufour, 2010. "Finite and Large Sample Distribution-Free Inference in Median Regressions with Instrumental Variables," Working Papers 2010-56, Center for Research in Economics and Statistics.
    28. Nicolas Van de Sijpe & Frank Windmeijer, 2021. "On the Power of the Conditional Likelihood Ratio and Related Tests for Weak-Instrument Robust Inference," Economics Papers 2020-W09, Economics Group, Nuffield College, University of Oxford.
    29. Quinn A. W. Keefer, 2019. "Do sunk costs affect expert decision making? Evidence from the within-game usage of NFL running backs," Empirical Economics, Springer, vol. 56(5), pages 1769-1796, May.
    30. Mikusheva, Anna, 2010. "Robust confidence sets in the presence of weak instruments," Journal of Econometrics, Elsevier, vol. 157(2), pages 236-247, August.
    31. 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.
    32. Michael Keane & Timothy Neal, 2021. "A New Perspective on Weak Instruments," Discussion Papers 2021-05a, School of Economics, The University of New South Wales.
    33. Duo Qin & Yanqun Zhang, 2013. "A History of Polyvalent Structural Parameters: the Case of Instrument Variable Estimators," Working Papers 183, Department of Economics, SOAS University of London, UK.
    34. Faria, Hugo J. & Montesinos-Yufa, Hugo M. & Morales, Daniel R. & Navarro, Carlos E., 2016. "Unbundling the roles of human capital and institutions in economic development," European Journal of Political Economy, Elsevier, vol. 45(S), pages 108-128.
    35. Qin, Duo, 2014. "Resurgence of instrument variable estimation and fallacy of endogeneity," Economics Discussion Papers 2014-42, Kiel Institute for the World Economy (IfW Kiel).

  10. Michael Jansson & Marcelo J. Moreira, 2006. "Optimal Inference in Regression Models with Nearly Integrated Regressors," Econometrica, Econometric Society, vol. 74(3), pages 681-714, May.
    See citations under working paper version above.
  11. Donald W. K. Andrews & Marcelo J. Moreira & James H. Stock, 2006. "Optimal Two-Sided Invariant Similar Tests for Instrumental Variables Regression," Econometrica, Econometric Society, vol. 74(3), pages 715-752, May.

    Cited by:

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    145. Eleonora Matteazzi & Martina Menon & Federico Perali, 2021. "Do Boys and Girls Perform Better at Math Just Studying More ?," CHILD Working Papers Series 96 JEL Classification: I2, Centre for Household, Income, Labour and Demographic Economics (CHILD) - CCA.
    146. Frank Kleibergen & Zhaoguo Zhan, 2021. "Double robust inference for continuous updating GMM," Papers 2105.08345, arXiv.org.
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    152. Luca Nunziata, 2015. "Immigration and crime: evidence from victimization data," Journal of Population Economics, Springer;European Society for Population Economics, vol. 28(3), pages 697-736, July.
    153. Giuseppe Cavaliere & Zeng-Hua Lu & Anders Rahbek & Yuhong Yang, 2021. "MinP Score Tests with an Inequality Constrained Parameter Space," Papers 2107.06089, arXiv.org.
    154. Vipul Bhatt & N. Kishor, 2013. "Bank lending channel in India: evidence from state-level analysis," Empirical Economics, Springer, vol. 45(3), pages 1307-1331, December.
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    157. Isaiah Andrews & Anna Mikusheva, 2022. "Optimal Decision Rules for Weak GMM," Econometrica, Econometric Society, vol. 90(2), pages 715-748, March.

  12. Luiz M. Cruz & Marcelo J. Moreira, 2005. "On the Validity of Econometric Techniques with Weak Instruments: Inference on Returns to Education Using Compulsory School Attendance Laws," Journal of Human Resources, University of Wisconsin Press, vol. 40(2).

    Cited by:

    1. Dionissi Aliprantis, 2012. "Assessing the evidence on neighborhood effects from Moving to Opportunity," Working Papers (Old Series) 1122R, Federal Reserve Bank of Cleveland.
    2. David S. Lee & Justin McCrary & Marcelo J. Moreira & Jack R. Porter, 2021. "Valid t-ratio Inference for IV," NBER Working Papers 29124, National Bureau of Economic Research, Inc.
    3. Ji Liu, 2024. "Education legislations that equalize: a study of compulsory schooling law reforms in post-WWII United States," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    4. Emla Fitzsimons & Marcos Vera-Hernandez, 2013. "Food for Thought? Breastfeeding and Child Development," IFS Working Papers W13/31, Institute for Fiscal Studies.
    5. 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.
    6. Tymon S{l}oczy'nski, 2020. "When Should We (Not) Interpret Linear IV Estimands as LATE?," Papers 2011.06695, arXiv.org, revised Oct 2024.
    7. Erik Alencar de Figueiredo & José Luis da Silva Netto Júnior, 2012. "More Equal But Not So Fair- an Analysis of Brazilian Income Distribution from 1995 to 2009," Série Textos para Discussão (Working Papers) 11, Programa de Pós-Graduação em Economia - PPGE, Universidade Federal da Paraíba.
    8. Arcand, Jean-Louis & d'Hombres, Beatrice, 2006. "Testing for Separation in Agricultural Household Models and Unobservable Household-Specific Effects," MPRA Paper 1863, University Library of Munich, Germany.
    9. Rees, Daniel I. & Sabia, Joseph J., 2010. "Sports participation and academic performance: Evidence from the National Longitudinal Study of Adolescent Health," Economics of Education Review, Elsevier, vol. 29(5), pages 751-759, October.
    10. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    11. Murray Michael P., 2017. "Linear Model IV Estimation When Instruments Are Many or Weak," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-22, January.
    12. Yasser Razak Hussain & Pranab Mukhopadhyay, 2023. "How Much do Education, Experience, and Social Networks Impact Earnings in India? A Panel Data Analysis Disaggregated by Class, Gender, Caste and Religion," SAGE Open, , vol. 13(4), pages 21582440231, December.
    13. Donald W. K. Andrews & Patrik Guggenberger, 2015. "Identification- and Singularity-Robust Inference for Moment Condition," Cowles Foundation Discussion Papers 1978, Cowles Foundation for Research in Economics, Yale University.
    14. Rietveld, Cornelius A. & Webbink, Dinand, 2016. "On the genetic bias of the quarter of birth instrument," Economics & Human Biology, Elsevier, vol. 21(C), pages 137-146.
    15. Joshua D. Angrist & Brigham Frandsen, 2022. "Machine Labor," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 97-140.
    16. Jean-Louis ARCAND & Marcel DAGENAIS, 2005. "Errors in Variables and the Empirics of Economic Growth," Working Papers 200536, CERDI.
    17. Leigh, Andrew & Ryan, Chris, 2008. "Estimating returns to education using different natural experiment techniques," Economics of Education Review, Elsevier, vol. 27(2), pages 149-160, April.
    18. 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.
    19. Dionissi Aliprantis, 2010. "Redshirting, compulsory schooling laws, and educational attainment," Working Papers (Old Series) 1012, Federal Reserve Bank of Cleveland.
    20. Serneels,Pieter Maria & Beegle,Kathleen G. & Dillon,Andrew S., 2016. "Do returns to education depend on how and who you ask ?," Policy Research Working Paper Series 7747, The World Bank.
    21. Chowdhury, Shyamal & Krause, Annabelle & Zimmermann, Klaus F., 2016. "Arsenic contamination of drinking water and mental health," MERIT Working Papers 2016-037, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    22. Dawood Mamoon & S. Mansoob Murshed, 2017. "When Education Explains Strong Institutions: Trade Policy also Matters," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(3), pages 1179-1210, April.
    23. Johnson, William C. & Xie, Wenjuan & Yi, Sangho, 2014. "Corporate fraud and the value of reputations in the product market," Journal of Corporate Finance, Elsevier, vol. 25(C), pages 16-39.
    24. Léandre BASSOLE & Jean-Louis ARCAND, 2006. "Does Community Driven Development Work? Evidence from Senegal," Working Papers 200606, CERDI.
    25. Summerhill, William, 2010. "Colonial Institutions, Slavery, Inequality, and Development: Evidence from São Paulo, Brazil," MPRA Paper 22162, University Library of Munich, Germany.
    26. Liu-Evans, Gareth & Phillips, Garry D.A., 2018. "On the use of higher order bias approximations for 2SLS and k-class estimators with non-normal disturbances and many instruments," Econometrics and Statistics, Elsevier, vol. 6(C), pages 90-105.
    27. Vladimir Atanasov & Bernard Black, 2021. "The Trouble with Instruments: The Need for Pretreatment Balance in Shock-Based Instrumental Variable Designs," Management Science, INFORMS, vol. 67(2), pages 1270-1302, February.
    28. Chuang, Yih-chyi & Lai, Wei-wen, 2010. "Heterogeneity, comparative advantage, and return to education: The case of Taiwan," Economics of Education Review, Elsevier, vol. 29(5), pages 804-812, October.
    29. Namhyun Kim & Winfried Pohlmeier, 2016. "A Note on the Regularized Approach to Biased 2SLS Estimation with Weak Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 915-924, December.
    30. Philip Shaw & Marina-Selini Katsaiti & Marius Jurgilas, 2006. "Corruption and Growth Under Weak Identification," Working papers 2006-17, University of Connecticut, Department of Economics, revised Mar 2007.
    31. Pu, Cheng-yun & Lan, Virginia & Chou, Yiing-Jenq & Lan, Chung-fu, 2008. "The crowding-out effects of tobacco and alcohol where expenditure shares are low: Analyzing expenditure data for Taiwan," Social Science & Medicine, Elsevier, vol. 66(9), pages 1979-1989, May.
    32. Philip Oreopoulos, 2006. "Estimating Average and Local Average Treatment Effects of Education when Compulsory Schooling Laws Really Matter," American Economic Review, American Economic Association, vol. 96(1), pages 152-175, March.
    33. Wen You & George Davis, 2011. "Childhood Overweight: Does Quality of Parental Childcare Time Matter?," Journal of Family and Economic Issues, Springer, vol. 32(2), pages 219-232, June.
    34. Davis, George C. & You, Wen, 2013. "Estimates of returns to scale, elasticity of substitution, and the thrifty food plan meal poverty rate from a direct household meal production function," Food Policy, Elsevier, vol. 43(C), pages 204-212.

  13. Marcelo J. Moreira & Brian P. Poi, 2003. "Implementing tests with correct size in the simultaneous equations model," Stata Journal, StataCorp LP, vol. 3(1), pages 57-70, March.
    See citations under working paper version above.
  14. Marcelo J. Moreira, 2003. "A Conditional Likelihood Ratio Test for Structural Models," Econometrica, Econometric Society, vol. 71(4), pages 1027-1048, July.

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    1. Qazi Haque & Leandro M. Magnusson, 2020. "Identification robust empirical evidence on the Euler equation in open economies," CAMA Working Papers 2020-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Rockey, James, 2012. "Reconsidering the fiscal effects of constitutions," European Journal of Political Economy, Elsevier, vol. 28(3), pages 313-323.
    3. Ken Yamada, 2010. "Intertemporal Substitution in the Time Allocation of Married Women," Working Papers 27-2010, Singapore Management University, School of Economics.
    4. Barone, Guglielmo & Narciso, Gaia, 2015. "Organized crime and business subsidies: Where does the money go?," Journal of Urban Economics, Elsevier, vol. 86(C), pages 98-110.
    5. Xinzheng Shi, 2013. "Impact of household educational expenditures on the test scores of children," Economics Bulletin, AccessEcon, vol. 33(2), pages 1177-1184.
    6. Khalaf, Lynda & Lin, Zhenjiang, 2021. "Projection-based inference with particle swarm optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 128(C).
    7. Isaiah Andrews & Anna Mikusheva, 2016. "Conditional Inference With a Functional Nuisance Parameter," Econometrica, Econometric Society, vol. 84, pages 1571-1612, July.
    8. Donald W. K. Andrews & Xu Cheng, 2011. "Maximum Likelihood Estimation and Uniform Inference with Sporadic Identification Failure," Cowles Foundation Discussion Papers 1824R, Cowles Foundation for Research in Economics, Yale University, revised Oct 2012.
    9. Garth Heutel, 2009. "Crowding Out and Crowding In of Private Donations and Government Grants," NBER Working Papers 15004, National Bureau of Economic Research, Inc.
    10. Gordon Dahl, 2010. "Early teen marriage and future poverty," Demography, Springer;Population Association of America (PAA), vol. 47(3), pages 689-718, August.
    11. Long, Cheryl & Yang, Jin & Zhang, Jing, 2015. "Institutional Impact of Foreign Direct Investment in China," World Development, Elsevier, vol. 66(C), pages 31-48.
    12. Kleibergen, Frank, 2009. "Tests of risk premia in linear factor models," Journal of Econometrics, Elsevier, vol. 149(2), pages 149-173, April.
    13. 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.
    14. Alessandro Gambini & Alberto Zazzaro, 2010. "Long-Lasting Bank Relationships and Growth of Firms," CESifo Working Paper Series 3106, CESifo.
    15. Jean-Marie Dufour, 2003. "Identification, Weak Instruments and Statistical Inference in Econometrics," CIRANO Working Papers 2003s-49, CIRANO.
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    17. David S. Lee & Justin McCrary & Marcelo J. Moreira & Jack R. Porter, 2021. "Valid t-ratio Inference for IV," NBER Working Papers 29124, National Bureau of Economic Research, Inc.
    18. Khan, Adnan Q. & Lehrer, Steven F., 2013. "The Impact of Social Networks on Labour Market Outcomes: New Evidence from Cape Breton," CLSSRN working papers clsrn_admin-2013-7, Vancouver School of Economics, revised 25 Feb 2013.
    19. Alesina, Alberto & Zhuravskaya, Ekaterina, 2008. "Segregation and the Quality of Government in a Cross-Section of Countries," CEPR Discussion Papers 6943, C.E.P.R. Discussion Papers.
    20. Yasser Abdih & Jihad Dagher & Peter Montiel, 2010. "Remittances and Institutions: Are Remittances a Curse?," Department of Economics Working Papers 2010-13, Department of Economics, Williams College.
    21. Firmin Doko Tchatoka, 2014. "Specification Tests with Weak and Invalid Instruments," School of Economics and Public Policy Working Papers 2014-05, University of Adelaide, School of Economics and Public Policy.
    22. Hanushek, Eric A. & Wößmann, Ludger, 2012. "Do better schools lead to more growth? Cognitive skills, economic outcomes, and causation," Munich Reprints in Economics 20400, University of Munich, Department of Economics.
    23. Giuntella, Osea & Han, Wei & Mazzonna, Fabrizio, 2016. "Circadian Rhythms, Sleep and Cognitive Skills: Evidence from an Unsleeping Giant," IZA Discussion Papers 9774, Institute of Labor Economics (IZA).
    24. Philipp Harms & Pierre-Guillaume Méon, 2013. "The Growth Effects of Greenfield Investment and Mergers and Acquisitions: Econometric Investigation and Implication for MENA Countries," Working Papers 794, Economic Research Forum, revised Nov 2013.
    25. Burhan Can Karahasan & Firat Bilgel, 2018. "Economic Geography, Growth Dynamics and Human Capital Accumulation in Turkey: Evidence from Regional and Micro Data," Working Papers 1233, Economic Research Forum, revised 10 Oct 2018.
    26. Suss, Joel & Bholat, David & Gillespie, Alex & Reader, Tom, 2021. "Organisational culture and bank risk," Bank of England working papers 912, Bank of England.
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    37. Steven F. Lehrer & Nuno Sousa Pereira, 2007. "Worker Sorting, Compensating Differentials and Health Insurance: Evidence from Displaced Workers," NBER Working Papers 12951, National Bureau of Economic Research, Inc.
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    40. Kilian, Lutz & Davis, Lucas W, 2009. "Estimating the Effect of a Gasoline Tax on Carbon Emissions," CEPR Discussion Papers 7161, C.E.P.R. Discussion Papers.
    41. Jun, Sung Jae, 2008. "Weak identification robust tests in an instrumental quantile model," Journal of Econometrics, Elsevier, vol. 144(1), pages 118-138, May.
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    43. Maurice J.G. Bun & Frank Windmeijer, 2009. "The Weak Instrument Problem of the System GMM Estimator in Dynamic Panel Data Models," Tinbergen Institute Discussion Papers 09-086/4, Tinbergen Institute.
    44. Penney, Jeffrey & Lehrer, Steven F. & Bernal, Gloria L. & Reyes, Luis Carlos, 2023. "Do opportunities for low-income students at top colleges promote academic success? Evidence from Colombia's Ser Pilo Paga program," CLEF Working Paper Series 64, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    45. Dennis P. Quinn & Hans-Joachim Voth, 2008. "A Century of Global Equity Market Correlations," American Economic Review, American Economic Association, vol. 98(2), pages 535-540, May.
    46. Diego Lubian & Luca Zarri, 2011. "Happiness and Tax Morale: an Empirical Analysis," Working Papers 04/2011, University of Verona, Department of Economics.
    47. Francisco Alcalá & Antonio Ciccone, 2004. "Trade and Productivity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(2), pages 613-646.
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    53. Jia Li & Peter C. B. Phillips & Shuping Shi & Jun Yu, 2022. "Weak Identification of Long Memory with Implications for Inference," Cowles Foundation Discussion Papers 2334, Cowles Foundation for Research in Economics, Yale University.
    54. Kilponen Juha, 2012. "Consumption, Leisure and Borrowing Constraints," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-25, May.
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