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Michael Jansson

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. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2020. "Local Regression Distribution Estimators," Papers 2009.14367, arXiv.org, revised Jan 2021.

    Cited by:

    1. Nakamura, Ryota & Albanese, Andrea & Coombes, Emma & Suhrcke, Marc, 2021. "Do Economic Incentives Promote Physical Activity? Evidence from the London Congestion Charge," GLO Discussion Paper Series 1006, Global Labor Organization (GLO).
    2. Masaki Takahashi, 2023. "Insurance coverage, long-term care utilization, and health outcomes," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(8), pages 1383-1397, November.
    3. John M. Barrios & Thomas G. Wollmann, 2024. "A New Era of Midnight Mergers: Antitrust Risk and Investor Disclosures," American Economic Journal: Microeconomics, American Economic Association, vol. 16(4), pages 77-111, November.
    4. Filmer,Deon P., 2023. "Long-Lived Consequences of Rapid Scale-Up ? The Case of Free Primary Education in SixSub-Saharan African Countries," Policy Research Working Paper Series 10310, The World Bank.
    5. Albanese, Andrea & Fallucchi, Francesco & Verheyden, Bertrand, 2021. "Can a supranational medicines agency restore trust after vaccine suspensions? The case of Vaxzevria," GLO Discussion Paper Series 878, Global Labor Organization (GLO).
    6. Jorge Alé-Chilet & Sarah Moshary, 2022. "Beyond Consumer Switching: Supply Responses to Food Packaging and Advertising Regulations," Marketing Science, INFORMS, vol. 41(2), pages 243-270, March.
    7. Collin, Matthew & Talbot, Theodore, 2023. "Are age-of-marriage laws enforced? Evidence from developing countries," Journal of Development Economics, Elsevier, vol. 160(C).
    8. Günther, Jutta (Ed.) & Wedemeier, Jan (Ed.), 2020. "Struktureller Umbruch durch COVID-19: Implikationen für die Innovationspolitik im Land Bremen," HWWI Policy Papers 128, Hamburg Institute of International Economics (HWWI).

  2. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2019. "lpdensity: Local Polynomial Density Estimation and Inference," Papers 1906.06529, arXiv.org, revised Feb 2021.

    Cited by:

    1. Matteo Picchio & Mattia Filomena, 2021. "Retirement And Health Outcomes In A Metaanalytical Framework," Working Papers 458, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    2. Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2021. "Local regression distribution estimators," Department of Economics, Working Paper Series qt7416d3x8, Department of Economics, Institute for Business and Economic Research, UC Berkeley.

  3. Matias D. Cattaneo & Michael Jansson, 2019. "Average Density Estimators: Efficiency and Bootstrap Consistency," Papers 1904.09372, arXiv.org, revised Dec 2020.

    Cited by:

    1. Kyle Colangelo & Ying-Ying Lee, 2020. "Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments," Papers 2004.03036, arXiv.org, revised Sep 2023.
    2. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP54/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  4. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Two-Step Estimation and Inference with Possibly Many Included Covariates," Papers 1807.10100, arXiv.org.

    Cited by:

    1. Matias D. Cattaneo & Max H. Farrell & Michael Jansson & Ricardo Masini, 2022. "Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators," Papers 2301.00277, arXiv.org, revised Feb 2024.
    2. Steven Lehrer & Tian Xie, 2020. "The Bigger Picture: Combining Econometrics with Analytics Improve Forecasts of Movie Success," Working Paper 1449, Economics Department, Queen's University.
    3. Kyle Colangelo & Ying-Ying Lee, 2020. "Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments," Papers 2004.03036, arXiv.org, revised Sep 2023.
    4. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP72/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Anatolyev, Stanislav, 2021. "Mallows criterion for heteroskedastic linear regressions with many regressors," Economics Letters, Elsevier, vol. 203(C).
    6. Aristide Houndetoungan & Abdoul Haki Maoude, 2024. "Inference for Two-Stage Extremum Estimators," Papers 2402.05030, arXiv.org, revised Nov 2024.
    7. Kris James Mitchener & Gary Richardson, 2020. "Contagion of Fear," CESifo Working Paper Series 8172, CESifo.
    8. Guo, Xu & Li, Runze & Liu, Jingyuan & Zeng, Mudong, 2024. "Reprint: Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic," Journal of Econometrics, Elsevier, vol. 239(2).
    9. Kuanhao Jiang & Rajarshi Mukherjee & Subhabrata Sen & Pragya Sur, 2022. "A New Central Limit Theorem for the Augmented IPW Estimator: Variance Inflation, Cross-Fit Covariance and Beyond," Papers 2205.10198, arXiv.org, revised Oct 2022.
    10. Jinyong Hahn & Jerry Hausman, 2021. "Problems with the Control Variable Approach in Achieving Unbiased Estimates in Nonlinear Models in the Presence of Many Instruments," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 39-58, December.
    11. 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.
    12. Liang Jiang & Liyao Li & Ke Miao & Yichong Zhang, 2023. "Adjustment with Many Regressors Under Covariate-Adaptive Randomizations," Papers 2304.08184, arXiv.org, revised Nov 2024.
    13. Guo, Xu & Li, Runze & Liu, Jingyuan & Zeng, Mudong, 2023. "Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic," Journal of Econometrics, Elsevier, vol. 235(1), pages 166-179.
    14. Jinyong Hahn & David W. Hughes & Guido Kuersteiner & Whitney K. Newey, 2022. "Efficient Bias Correction for Cross-section and Panel Data," Papers 2207.09943, arXiv.org, revised Jan 2024.
    15. Koen Jochmans, 2023. "Bootstrap inference for fixed-effect models," French Stata Users' Group Meetings 2023 21, Stata Users Group.
    16. Cattaneo, Matias D. & Jansson, Michael, 2022. "Average Density Estimators: Efficiency And Bootstrap Consistency," Econometric Theory, Cambridge University Press, vol. 38(6), pages 1140-1174, December.
    17. Su, Liangjun & Ura, Takuya & Zhang, Yichong, 2017. "Non-separable Models with High-dimensional Data," Economics and Statistics Working Papers 15-2017, Singapore Management University, School of Economics.
    18. Annalivia Polselli, 2023. "Robust Inference in Panel Data Models: Some Effects of Heteroskedasticity and Leveraged Data in Small Samples," Papers 2312.17676, arXiv.org.
    19. Yang Ning & Sida Peng & Jing Tao, 2020. "Doubly Robust Semiparametric Difference-in-Differences Estimators with High-Dimensional Data," Papers 2009.03151, arXiv.org.
    20. Aristide Houndetoungan & Abdoul Haki Maoude, 2024. "Inference for Two-Stage Extremum Estimators," THEMA Working Papers 2024-01, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    21. Naguib, Costanza, 2022. "Analytical bias correction for two-step fixed effects models with copula-distributed errors," Economics Letters, Elsevier, vol. 215(C).
    22. Gourieroux, Christian & Tiomo, Andre, 2019. "The Evaluation of Model Risk for Probability of Default and Expected Loss," MPRA Paper 95795, University Library of Munich, Germany.
    23. Liu, Lin & Mukherjee, Rajarshi & Robins, James M., 2024. "Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators," Journal of Econometrics, Elsevier, vol. 240(2).
    24. Yumou Qiu & Jing Tao & Xiao‐Hua Zhou, 2021. "Inference of heterogeneous treatment effects using observational data with high‐dimensional covariates," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(5), pages 1016-1043, November.
    25. Zhao, Puying & Haziza, David & Wu, Changbao, 2020. "Survey weighted estimating equation inference with nuisance functionals," Journal of Econometrics, Elsevier, vol. 216(2), pages 516-536.
    26. Harold D Chiang & Yukitoshi Matsushita & Taisuke Otsu, 2023. "Regression adjustment in randomized controlled trials with many covariates," Papers 2302.00469, arXiv.org, revised Nov 2023.
    27. Wei, Waverly & Zhou, Yuqing & Zheng, Zeyu & Wang, Jingshen, 2024. "Inference on the best policies with many covariates," Journal of Econometrics, Elsevier, vol. 239(2).
    28. Harold D Chiang & Yukitoshi Matsushita & Taisuke Otsu, 2023. "Regression adjustment in randomized controlled trials with many covariates," STICERD - Econometrics Paper Series 627, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    29. Xinwei Ma & Jingshen Wang, 2018. "Robust Inference Using Inverse Probability Weighting," Papers 1810.11397, arXiv.org, revised May 2019.

  5. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Simple Local Polynomial Density Estimators," Papers 1811.11512, arXiv.org, revised Jun 2019.

    Cited by:

    1. Francesco Decarolis & Raymond Fisman & Paolo Pinotti & Silvia Vannutelli, 2019. "Rules, Discretion, and Corruption in Procurement: Evidence from Italian Government Contracting," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-344, Boston University - Department of Economics.
    2. Bellodi, Luca & Docquier, Frédéric & Iandolo, Stefano & Morelli, Massimo & Turati, Riccardo, 2024. "Digging up Trenches: Populism, Selective Mobility, and the Political Polarization of Italian Municipalities," IZA Discussion Papers 16732, Institute of Labor Economics (IZA).
    3. Takuya Ishihara & Masayuki Sawada, 2020. "Manipulation-Robust Regression Discontinuity Designs," Papers 2009.07551, arXiv.org, revised Sep 2024.
    4. Santiago Pérez-Cardona, 2022. "Let the rebels rule? Evidence on the economic effects of rebel governance in Colombia," Documentos CEDE 19941, Universidad de los Andes, Facultad de Economía, CEDE.
    5. Peter Eibich & Thomas Siedler, 2020. "Retirement, Intergenerational Time Transfers, and Fertility," SOEPpapers on Multidisciplinary Panel Data Research 1073, DIW Berlin, The German Socio-Economic Panel (SOEP).
    6. Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2021. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP16/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Luca Bellodi & Massimo Morelli & Matia Vannoni, 2021. "A Costly Commitment: Populism, Government Performance, and the Quality of Bureaucracy," CESifo Working Paper Series 9470, CESifo.
    8. Luis R. Martinez & Jonas Jessen & Guo Xu, 2022. "A Glimpse of Freedom: Allied Occupation and Political Resistance in East Germany," SOEPpapers on Multidisciplinary Panel Data Research 1176, DIW Berlin, The German Socio-Economic Panel (SOEP).
    9. Britto, Diogo & Melo, Caique & Sampaio, Breno, 2022. "The Kids Aren't Alright: Parental Job Loss and Children's Outcomes Within and Beyond Schools," CEPR Discussion Papers 17562, C.E.P.R. Discussion Papers.
    10. Matteo Bobba & Tim Ederer & Gianmarco Leon-Ciliotta & Christopher Neilson & Marco G. Nieddu, 2021. "Teacher Compensation and Structural Inequality: Evidence from Centralized Teacher School Choice in Perú," NBER Working Papers 29068, National Bureau of Economic Research, Inc.
    11. Zhuang Hao & Huihui Cheng & Till Bärnighausen & Simiao Chen, 2024. "The effects of parental retirement on adult children's health: Evidence from China," Health Economics, John Wiley & Sons, Ltd., vol. 33(1), pages 12-20, January.
    12. Bagues, Manuel & Dimitrova, Velichka, 2021. "The Psychological Gains from COVID-19 Vaccination : Who Benefits the Most?," The Warwick Economics Research Paper Series (TWERPS) 1384, University of Warwick, Department of Economics.
    13. Mario Carillo & Gemma Dipoppa & Shanker Satyanath, 2023. "Fascist ideology and migrant labor exploitation," Economics Working Papers 1865, Department of Economics and Business, Universitat Pompeu Fabra.
    14. Boffa, Federico & Mollisi, Vincenzo & Ponzetto, Giacomo, 2023. "Do Incompetent Politicians Breed Populist Voters? Evidence from Italian Municipalities," CEPR Discussion Papers 17997, C.E.P.R. Discussion Papers.
    15. Miguel Fajardo-Steinhauser, 2023. "Peace Dividends: The Economic Effects of Colombia's Peace Agreement," Papers 2301.01843, arXiv.org, revised Dec 2024.
    16. Christoph Koenig & Letizia Borgomeo & Martina Miotto, 2024. "The Long-Run Effects of R&D Subsidies on High-Tech Start-Ups: Insights From Italy," CEIS Research Paper 585, Tor Vergata University, CEIS, revised 12 Nov 2024.
    17. Bonilla, Sade, 2020. "The dropout effects of career pathways: Evidence from California," Economics of Education Review, Elsevier, vol. 75(C).
    18. Nathan Kettlewell & Peter Siminski, 2022. "Optimal Model Selection in RDD and Related Settings Using Placebo Zones," Papers 2212.04043, arXiv.org.
    19. Suchita Srinivasan, 2023. "Social Policies and Adaptation to Extreme Weather: Evidence from South Africa," CER-ETH Economics working paper series 23/381, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    20. Kikuta,Kyosuke, 2023. "More Equality for Women Does Mean Less War: Descriptive Representation, Legislative Votes, and International Conflict," IDE Discussion Papers 904, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    21. Nakamura, Ryota & Albanese, Andrea & Coombes, Emma & Suhrcke, Marc, 2021. "Do Economic Incentives Promote Physical Activity? Evidence from the London Congestion Charge," GLO Discussion Paper Series 1006, Global Labor Organization (GLO).
    22. Brodeur, Abel & Cook, Nikolai & Heyes, Anthony, 2022. "We Need to Talk about Mechanical Turk: What 22,989 Hypothesis Tests Tell us about p-Hacking and Publication Bias in Online Experiments," I4R Discussion Paper Series 8, The Institute for Replication (I4R).
    23. Isabelle Chort, 2018. "Managing the impact of climate on migration: Evidence from Mexico," Post-Print hal-02403061, HAL.
    24. García-Ramos, Aixa, 2022. "The Mexican drug war: Elections and homicides," Passauer Diskussionspapiere, Volkswirtschaftliche Reihe V-92-22, University of Passau, Faculty of Business and Economics.
    25. Bagues, Manuel & Campa, Pamela, 2017. "Can Gender Quotas in Candidate Lists Empower Women? Evidence from a Regression Discontinuity Design," CEPR Discussion Papers 12149, C.E.P.R. Discussion Papers.
    26. Brodeur, Abel & Cook, Nikolai & Hartley, Jonathan & Heyes, Anthony, 2022. "Do Pre-Registration and Pre-analysis Plans Reduce p-Hacking and Publication Bias?," MetaArXiv uxf39, Center for Open Science.
    27. Schönenberger, Felix, 2023. "Strategic Policy Responsiveness to Opponent Platforms: Evidence From U.S. House Incumbents Running Against Moderate or Extremist Challengers," MPRA Paper 120160, University Library of Munich, Germany.
    28. Yining Wang & Yi Wu & Simon S. Du, 2021. "Near-Linear Time Local Polynomial Nonparametric Estimation with Box Kernels," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1339-1353, October.
    29. Andra Hiriscau, 2024. "The Effect of Paid Maternity Leave on Fertility and Mothers’ Labor Force Participation," Journal of Labor Research, Springer, vol. 45(3), pages 350-384, September.
    30. Koki Fusejima & Takuya Ishihara & Masayuki Sawada, 2022. "A unified diagnostic test for regression discontinuity designs," Papers 2205.04345, arXiv.org, revised Jul 2024.
    31. Julieta Peveri & Marc Sangnier, 2021. "Gender differences in re-contesting decisions: New evidence from French municipal elections," Working Papers halshs-03349740, HAL.
    32. Aaron Albert & Nathan Wozny, 2024. "The Impact of Academic Probation: Do Intensive Interventions Help?," Journal of Human Resources, University of Wisconsin Press, vol. 59(3), pages 852-878.
    33. Guillaume Blanc & Masahiro Kubo, 2024. "French," Working Papers hal-04292485, HAL.
    34. Augusto Cerqua & Guido Pellegrini & Ornella Tarola, 2022. "Can regional policies shape migration flows?," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 515-536, June.
    35. Augusto Cerqua & Guido Pellegrini, 2020. "Labor mobility effects of a firm-level shock," Working Papers 1/20, Sapienza University of Rome, DISS.
    36. Claire MacPherson & Olivier Sterck, 2019. "Humanitarian vs. Development Aid for Refugees: Evidence from a Regression Discontinuity Design," CSAE Working Paper Series 2019-15, Centre for the Study of African Economies, University of Oxford.
    37. Matias D. Cattaneo & Rocio Titiunik, 2021. "Regression Discontinuity Designs," Papers 2108.09400, arXiv.org, revised Feb 2022.
    38. Ulrich Glogowsky, 2020. "Behavioral Responses to Inheritance and Gift Taxation: Evidence from Germany," Economics working papers 2020-22, Department of Economics, Johannes Kepler University Linz, Austria.
    39. Cingano, Federico & Palomba, Filippo & Pinotti, Paolo & Rettore, Enrico, 2022. "Making Subsidies Work: Rules vs. Discretion," CEPR Discussion Papers 17004, C.E.P.R. Discussion Papers.
    40. Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2019. "Detecting p-hacking," Papers 1906.06711, arXiv.org, revised May 2021.
    41. Meltem Dayioglu Tayfur & Muserref Kucukbayrak & Semih Tumen, 2020. "The Impact of Age-Specific Minimum Wages on Youth Employment and Education: A Regression Discontinuity Analysis," Working Papers 1431, Economic Research Forum, revised 20 Dec 2020.
    42. Hortala-Vallve, Rafael & Meriläinen, Jaakko & Tukiainen, Janne, 2024. "Pre-electoral coalitions and the distribution of political power," LSE Research Online Documents on Economics 121600, London School of Economics and Political Science, LSE Library.
    43. Federico A. Bugni & Ivan A. Canay, 2018. "Testing continuity of a density via g -order statistics in the regression discontinuity design," CeMMAP working papers CWP20/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    44. Abel Brodeur & Nikolai Cook & Carina Neisser, 2024. "p-Hacking, Data type and Data-Sharing Policy," The Economic Journal, Royal Economic Society, vol. 134(659), pages 985-1018.
    45. HARA Hiromi & Núria RODRà GUEZ-PLANAS, 2021. "Long-Term Consequences of Teaching Gender Roles: Evidence from Desegregating Industrial Arts and Home Economics in Japan," Discussion papers 21072, Research Institute of Economy, Trade and Industry (RIETI).
    46. Bottan, Nicolas & Hoffmann, Bridget & Vera-Cossio, Diego A., 2021. "Stepping up during a crisis: The unintended effects of a noncontributory pension program during the Covid-19 pandemic," Journal of Development Economics, Elsevier, vol. 150(C).
    47. Albanese, Andrea & Ghirelli, Corinna & Picchio, Matteo, 2019. "Timed to Say Goodbye: Does Unemployment Benefit Eligibility Affect Worker Layoffs?," GLO Discussion Paper Series 323, Global Labor Organization (GLO).
    48. 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.).
    49. Abel Brodeur & Scott E. Carrell & David N. Figlio & Lester R. Lusher, 2023. "Unpacking P-Hacking and Publication Bias," NBER Working Papers 31548, National Bureau of Economic Research, Inc.
    50. Britto, Diogo & Rocha, Roberto Hsu & Pinotti, Paolo & Sampaio, Breno, 2024. "Small Children, Big Problems: Childbirth and Crime," IZA Discussion Papers 16910, Institute of Labor Economics (IZA).
    51. Esteban Garcia-Miralles & Jonathan M. Leganza, 2021. "Public Pensions and Private Savings," CEBI working paper series 21-06, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    52. Felder, Rahel & Frings, Hanna & Mittag, Nikolas, 2024. "How does potential unemployment insurance benefit duration affect reemployment timing and wages?," Ruhr Economic Papers 1111, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    53. Annika Lindskog & Dick Durevall, 2021. "To educate a woman and to educate a man: Gender‐specific sexual behavior and human immunodeficiency virus responses to an education reform in Botswana," Health Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 642-658, March.
    54. Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2021. "Local regression distribution estimators," Department of Economics, Working Paper Series qt7416d3x8, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    55. Benjamin Collier & Daniel Hartley & Benjamin J. Keys & Jing Xian Ng, 2024. "Credit When You Need It," Working Paper Series WP 2024-16, Federal Reserve Bank of Chicago.
    56. Frio, Gustavo Saraiva & França, Marco Tulio Aniceto, 2021. "Human papillomavirus vaccine and risky sexual behavior: Regression discontinuity design evidence from Brazil," Economics & Human Biology, Elsevier, vol. 40(C).
    57. Machado, Anaely & Terra, Rafael & Tannuri-Pianto, Maria, 2024. "Higher education responses to accountability," Economics of Education Review, Elsevier, vol. 98(C).
    58. De Benedetto, Marco Alberto & De Paola, Maria & Scoppa, Vincenzo & Smirnova, Janna, 2022. "The Long-Run Effects of College Remedial Education," IZA Discussion Papers 15082, Institute of Labor Economics (IZA).
    59. Gonzalez, Robert & Maffioli, Elisa M., 2024. "Is the phone mightier than the virus? Cellphone access and epidemic containment efforts," Journal of Development Economics, Elsevier, vol. 167(C).
    60. Bhalotra, Sonia R. & Britto, Diogo & Pinotti, Paolo & Sampaio, Breno, 2021. "Job Displacement, Unemployment Benefits and Domestic Violence," IZA Discussion Papers 14543, Institute of Labor Economics (IZA).
    61. Kansikas, Carolina & Bagues, Manuel, 2024. "Can Term Limits Accelerate Women's Access to Top Political Positions? Quasi-Experimental Evidence from Italy," IZA Discussion Papers 17175, Institute of Labor Economics (IZA).
    62. Gago Andrés & Carozzi Felipe & Bermejo Vicente J. & Abad Jose M., 2023. "Government Turnover and External Financial Assistance," Asociación Argentina de Economía Política: Working Papers 4655, Asociación Argentina de Economía Política.
    63. Canaan, Serena & Mouganie, Pierre & Zhang, Peng, 2022. "The Long-Run Educational Benefits of High-Achieving Classrooms," IZA Discussion Papers 15039, Institute of Labor Economics (IZA).
    64. Köppl-Turyna, Monika & Kantorowicz, Jarosław, 2022. "Electoral systems and female representation in politics: Evidence from a regression discontinuity," Research Papers 18, EcoAustria – Institute for Economic Research.
    65. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2019. "lpdensity: Local Polynomial Density Estimation and Inference," Papers 1906.06529, arXiv.org, revised Feb 2021.
    66. Kim Nguyen, 2022. "The Real Effects of Debt Covenants: Evidence from Australia," RBA Research Discussion Papers rdp2022-05, Reserve Bank of Australia.
    67. Moussa, Wael & Salti, Nisreen & Irani, Alexandra & Mokdad, Rima Al & Jamaluddine, Zeina & Chaaban, Jad & Ghattas, Hala, 2022. "The impact of cash transfers on Syrian refugee children in Lebanon," World Development, Elsevier, vol. 150(C).
    68. Babii, Andrii & Kumar, Rohit, 2023. "Isotonic regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 234(2), pages 371-393.
    69. Stefano Colonnello & Michael Koetter & Moritz Stieglitz, 2021. "Benign Neglect Of Covenant Violations: Blissful Banking Or Ignorant Monitoring?," Economic Inquiry, Western Economic Association International, vol. 59(1), pages 459-477, January.
    70. Johnsen, Julian Vedeler & Willén, Alexander, 2021. "The effect of negative income shocks on pensioners," Working Paper Series 2021:7, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    71. Ribas, Rafael P. & Sampaio, Breno & Trevisan, Giuseppe, 2020. "Short- and long-term effects of class assignment: Evidence from a flagship university in Brazil," Labour Economics, Elsevier, vol. 64(C).
    72. Brodeur, Abel & Cook, Nikolai & Heyes, Anthony, 2022. "We Need to Talk about Mechanical Turk: What 22,989 Hypothesis Tests Tell Us about Publication Bias and p-Hacking in Online Experiments," MetaArXiv a9vhr, Center for Open Science.
    73. Claire MacPherson & Olivier Sterck, 2020. "Empowering Refugees through Cash and Agriculture: A Regression Discontinuity Design," HiCN Working Papers 320, Households in Conflict Network.
    74. d’Astous, Philippe & Shore, Stephen H., 2024. "Programs of study and earnings dynamics," Labour Economics, Elsevier, vol. 88(C).
    75. Patricia H. Born & E. Tice Sirmans & Petra Steinorth, 2023. "Health insurers' use of quality improvement expenses to achieve a minimum medical loss ratio requirement," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 90(1), pages 123-154, March.
    76. Badunenko, Oleg & D’Inverno, Giovanna & De Witte, Kristof, 2023. "On distinguishing the direct causal effect of an intervention from its efficiency-enhancing effects," European Journal of Operational Research, Elsevier, vol. 310(1), pages 432-447.
    77. Matteo Picchio & Michele Ubaldi, 2022. "Unemployment And Health: A Meta-Analysis," Working Papers 467, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    78. Rodríguez Torres, Omar, 2022. "The productive role of social policy," MERIT Working Papers 2022-010, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    79. Kunz, Johannes S. & Zhu, Anna, 2023. "Welfare Reform and Migrant's Long-Term Labor Market Integration," IZA Discussion Papers 16285, Institute of Labor Economics (IZA).
    80. Jani-Petteri Olllikainen & Tuomas Pekkarinen & Roope Uusitalo & Hanna Virtanen, "undated". "Effect of Secondary Education on Cognitive and Non-cognitive Skills," Working Papers 336, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    81. Perez-Vincent, Santiago M., 2023. "A few signatures matter: Barriers to entry in Italian local politics," European Journal of Political Economy, Elsevier, vol. 78(C).
    82. Kohei Kawaguchi & Naomi Kodama & Hiroshi Kumanomido & Mari Tanaka, 2023. "Using managers' expectations for ex‐ante policy evaluation: Evidence from the COVID‐19 crisis," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 32(4), pages 714-732, October.
    83. Robert M. Gonzalez, 2021. "Cell Phone Access and Election Fraud: Evidence from a Spatial Regression Discontinuity Design in Afghanistan," American Economic Journal: Applied Economics, American Economic Association, vol. 13(2), pages 1-51, April.
    84. Grenet, Julien & He, Yinghua & Kübler, Dorothea, 2019. "Decentralizing Centralized Matching Markets: Implications From Early Offers in University Admissions," Rationality and Competition Discussion Paper Series 158, CRC TRR 190 Rationality and Competition.
    85. Daniel Kuehnle & Michael Oberfichtner & Kerstin Ostermann, 2021. "Revisiting gender identity and relative income within households: A cautionary tale on the potential pitfalls of density estimators," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 1065-1073, November.
    86. Eleonora Brandimarti & Giacomo De Giorgi & Jeremy Laurent-Lucchetti, 2024. "Credit and Voting," Papers 2407.06808, arXiv.org.
    87. 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.
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    219. Aydemir, Abdurrahman B. & Kırdar, Murat Güray & Torun, Huzeyfe, 2022. "The effect of education on internal migration of young men and women: incidence, timing, and type of migration," Labour Economics, Elsevier, vol. 74(C).
    220. Ribas, Rafael Perez & Sampaio, Breno & Trevisan, Giuseppe, 2024. "The Impact of Peer Performance and Relative Rank on Managerial Career Attainment: Evidence from College Students," IZA Discussion Papers 17082, Institute of Labor Economics (IZA).
    221. Collin, Matthew & Talbot, Theodore, 2023. "Are age-of-marriage laws enforced? Evidence from developing countries," Journal of Development Economics, Elsevier, vol. 160(C).
    222. Cingano, Federico & Palomba, Filippo & Pinotti, Paolo & Rettore, Enrico, 2023. "Granting more bang for the buck: The heterogeneous effects of firm subsidies," Labour Economics, Elsevier, vol. 83(C).
    223. Noxolo Kunene & Yessica C.Y. Chung, 2020. "Sustainable Production Policy Impact on Palm Oil Firms’ Performance: Empirical Analysis from Indonesia," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    224. de Bruijn, Ernst-Jan & Vethaak, Heike & Koning, Pierre & Knoef, Marike, 2023. "Debt Relief for the Financially Vulnerable: Impact on Employment, Welfare Receipt, and Mental Health," IZA Discussion Papers 16336, Institute of Labor Economics (IZA).
    225. Rafael Hortala-Vallve & Jaakko Meriläinen & Janne Tukiainen, 2021. "Pre-Electoral Coalitions: Insights into the Creation of Political Parties," Discussion Papers 143, Aboa Centre for Economics.
    226. Oliveira, Rodrigo & Motté, Henrique & Santos, Alei, 2023. "Do disadvantaged students benefit from attending classes with more skilled colleagues? Evidence from a top university in Brazil," Labour Economics, Elsevier, vol. 85(C).
    227. Jun Ma & Zhengfei Yu, 2020. "Empirical Likelihood Covariate Adjustment for Regression Discontinuity Designs," Papers 2008.09263, arXiv.org, revised May 2024.
    228. Nicodemo, Catia & Nicoletti, Cheti & Vidiella-Martin, Joaquim, 2024. "Starting School and ADHD: When Is It Time to Fly the Nest?," IZA Discussion Papers 17091, Institute of Labor Economics (IZA).
    229. Yuta Okamoto & Yuuki Ozaki, 2024. "On Extrapolation of Treatment Effects in Multiple-Cutoff Regression Discontinuity Designs," Papers 2412.04265, arXiv.org.
    230. Thierno Bocar Diop & Lionel Védrine, 2025. "Did crop diversity criterion from CAP green payments affect both economic and environmental farm performances? Quasi-experimental evidence from France," Post-Print hal-04739921, HAL.
    231. Cerqua, Augusto & Pellegrini, Guido, 2022. "Decomposing the employment effects of investment subsidies," Journal of Urban Economics, Elsevier, vol. 128(C).
    232. Michael Greenstone & Guojun He & Ruixue Jia & Tong Liu, 2020. "Can Technology Solve the Principal-Agent Problem? Evidence from China’s War on Air Pollution," Working Papers 2020-87, Becker Friedman Institute for Research In Economics.
    233. Federico Crippa, 2024. "Manipulation Test for Multidimensional RDD," Papers 2402.10836, arXiv.org, revised Jun 2024.
    234. Elena Pokryshevskaya & Evgeny Antipov, 2020. "Robust Regression Discontinuity Estimates Of The Causal Effect Of The Tripadvisor’s Bubble Rating On Hotel Popularity," HSE Working papers WP BRP 63/MAN/2020, National Research University Higher School of Economics.
    235. Günther, Jutta (Ed.) & Wedemeier, Jan (Ed.), 2020. "Struktureller Umbruch durch COVID-19: Implikationen für die Innovationspolitik im Land Bremen," HWWI Policy Papers 128, Hamburg Institute of International Economics (HWWI).
    236. Johannes Kunz & Anna Zhu, 2023. "Welfare Reform and Migrant’s Long-term Labor Market Integration," Papers 2023-05, Centre for Health Economics, Monash University.
    237. Yu, Hongwei & Chen, Wenjin & Wang, Xinyi & Delina, Laurence & Cheng, Zhiming & Zhang, Le, 2023. "The Impact of the Energy Conservation Law on Enterprise Energy Efficiency: Quasi-Experimental Evidence from Chinese Firms," GLO Discussion Paper Series 1339, Global Labor Organization (GLO).
    238. Haitian Xie, 2022. "Nonlinear and Nonseparable Structural Functions in Fuzzy Regression Discontinuity Designs," Papers 2204.08168, arXiv.org, revised Jul 2022.
    239. Simona Helmsmüller & Andreas Landmann, 2022. "Does free hospitalization insurance change health care consumption of the poor? Short-term evidence from Pakistan," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 47(1), pages 238-275, March.

  6. Matias D. Cattaneo & Michael Jansson & Kenichi Nagasawa, 2017. "Bootstrap-Based Inference for Cube Root Asymptotics," Papers 1704.08066, arXiv.org, revised May 2020.

    Cited by:

    1. Giuseppe Cavaliere & Iliyan Georgiev, 2019. "Inference under random limit bootstrap measures," Papers 1911.12779, arXiv.org, revised Dec 2019.
    2. Christopher R. Dobronyi & Fu Ouyang & Thomas Tao Yang, 2023. "Revisiting Panel Data Discrete Choice Models with Lagged Dependent Variables," Papers 2301.09379, arXiv.org, revised Aug 2024.
    3. Firpo, Sergio & Galvao, Antonio F. & Parker, Thomas, 2023. "Uniform inference for value functions," Journal of Econometrics, Elsevier, vol. 235(2), pages 1680-1699.
    4. Babii, Andrii & Kumar, Rohit, 2023. "Isotonic regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 234(2), pages 371-393.
    5. Luofeng Liao & Christian Kroer, 2024. "Bootstrapping Fisher Market Equilibrium and First-Price Pacing Equilibrium," Papers 2402.02303, arXiv.org, revised Feb 2024.
    6. Dominic Coey & Bradley J. Larsen & Kane Sweeney & Caio Waisman, 2021. "Scalable Optimal Online Auctions," Marketing Science, INFORMS, vol. 40(4), pages 593-618, July.
    7. Shakeeb Khan & Fu Ouyang & Elie Tamer, 2021. "Inference on semiparametric multinomial response models," Quantitative Economics, Econometric Society, vol. 12(3), pages 743-777, July.
    8. Federico Crippa, 2024. "Regret Analysis in Threshold Policy Design," Papers 2404.11767, arXiv.org.
    9. Fu Ouyang & Thomas Tao Yang, 2022. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," Papers 2202.12062, arXiv.org, revised Feb 2024.

  7. Matias D. Cattaneo & Michael Jansson & Kenichi Nagasawa, 2017. "Bootstrap-Based Inference for Cube Root Consistent Estimators," CREATES Research Papers 2017-18, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Firpo, Sergio & Galvao, Antonio F. & Parker, Thomas, 2023. "Uniform inference for value functions," Journal of Econometrics, Elsevier, vol. 235(2), pages 1680-1699.
    2. Sergio Firpo & Antonio F. Galvao & Martyna Kobus & Thomas Parker & Pedro Rosa-Dias, 2020. "Loss aversion and the welfare ranking of policy interventions," Papers 2004.08468, arXiv.org, revised Sep 2023.
    3. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," ANU Working Papers in Economics and Econometrics 2020-671, Australian National University, College of Business and Economics, School of Economics.
    4. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," Discussion Papers Series 626, School of Economics, University of Queensland, Australia.

  8. Matias D. Cattaneo & Michael Jansson & Whitney K. Newey, 2015. "Inference in Linear Regression Models with Many Covariates and Heteroskedasticity," Papers 1507.02493, arXiv.org, revised Jan 2017.

    Cited by:

    1. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-Dimensional Econometrics and Regularized GMM," Papers 1806.01888, arXiv.org, revised Jun 2018.
    2. Kaspar Wuthrich & Ying Zhu, 2019. "Omitted variable bias of Lasso-based inference methods: A finite sample analysis," Papers 1903.08704, arXiv.org, revised Sep 2021.
    3. Zhuan Pei & Jörn-Steffen Pischke & Hannes Schwandt, 2017. "Poorly Measured Confounders are More Useful on the Left Than on the Right," NBER Working Papers 23232, National Bureau of Economic Research, Inc.
    4. Di Addario, Sabrina & Kline, Patrick & Saggio, Raffaele & Sølvsten, Mikkel, 2023. "It ain’t where you’re from, it’s where you’re at: Hiring origins, firm heterogeneity, and wages," Journal of Econometrics, Elsevier, vol. 233(2), pages 340-374.
    5. Anatolyev, Stanislav, 2021. "Mallows criterion for heteroskedastic linear regressions with many regressors," Economics Letters, Elsevier, vol. 203(C).
    6. Fan, Yanqin & Han, Fang & Li, Wei & Zhou, Xiao-Hua, 2020. "On rank estimators in increasing dimensions," Journal of Econometrics, Elsevier, vol. 214(2), pages 379-412.
    7. Chaohua Dong & Jiti Gao & Oliver Linton, 2018. "High dimensional semiparametric moment restriction models," CeMMAP working papers CWP04/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Christis Katsouris, 2023. "High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods," Papers 2308.16192, arXiv.org.
    9. Guo, Xu & Li, Runze & Liu, Jingyuan & Zeng, Mudong, 2024. "Reprint: Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic," Journal of Econometrics, Elsevier, vol. 239(2).
    10. Anatolyev, Stanislav & Sølvsten, Mikkel, 2023. "Testing many restrictions under heteroskedasticity," Journal of Econometrics, Elsevier, vol. 236(1).
    11. Kuanhao Jiang & Rajarshi Mukherjee & Subhabrata Sen & Pragya Sur, 2022. "A New Central Limit Theorem for the Augmented IPW Estimator: Variance Inflation, Cross-Fit Covariance and Beyond," Papers 2205.10198, arXiv.org, revised Oct 2022.
    12. Patrick Kline & Raffaele Saggio & Mikkel Sølvsten, 2020. "Leave‐Out Estimation of Variance Components," Econometrica, Econometric Society, vol. 88(5), pages 1859-1898, September.
    13. Prat, Andrea & Montiel Olea , José Luis & Ortoleva, Pietro & Pai, Mallesh, 2019. "Competing Models," CEPR Discussion Papers 14066, C.E.P.R. Discussion Papers.
      • Jose Luis Montiel Olea & Pietro Ortoleva & Mallesh M Pai & Andrea Prat, 2019. "Competing Models," Papers 1907.03809, arXiv.org, revised Nov 2021.
    14. Anatolyev, Stanislav & Smirnov, Maksim, 2024. "Off-diagonal elements of projection matrices and dimension asymptotics," Economics Letters, Elsevier, vol. 239(C).
    15. Riccardo D'Adamo, 2018. "Cluster-Robust Standard Errors for Linear Regression Models with Many Controls," Papers 1806.07314, arXiv.org, revised Apr 2019.
    16. Tom Boot & Didier Nibbering, 2024. "Inference on LATEs with covariates," Papers 2402.12607, arXiv.org, revised Nov 2024.
    17. Liang Jiang & Liyao Li & Ke Miao & Yichong Zhang, 2023. "Adjustment with Many Regressors Under Covariate-Adaptive Randomizations," Papers 2304.08184, arXiv.org, revised Nov 2024.
    18. Benedikt M. Potscher & David Preinerstorfer, 2021. "Valid Heteroskedasticity Robust Testing," Papers 2104.12597, arXiv.org, revised Jul 2023.
    19. Smith, Simon C. & Timmermann, Allan & Zhu, Yinchu, 2019. "Variable selection in panel models with breaks," Journal of Econometrics, Elsevier, vol. 212(1), pages 323-344.
    20. Guo, Xu & Li, Runze & Liu, Jingyuan & Zeng, Mudong, 2023. "Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic," Journal of Econometrics, Elsevier, vol. 235(1), pages 166-179.
    21. Su, Liangjun & Ura, Takuya & Zhang, Yichong, 2017. "Non-separable Models with High-dimensional Data," Economics and Statistics Working Papers 15-2017, Singapore Management University, School of Economics.
    22. Chao, John C. & Swanson, Norman R. & Woutersen, Tiemen, 2023. "Jackknife estimation of a cluster-sample IV regression model with many weak instruments," Journal of Econometrics, Elsevier, vol. 235(2), pages 1747-1769.
    23. Annalivia Polselli, 2023. "Robust Inference in Panel Data Models: Some Effects of Heteroskedasticity and Leveraged Data in Small Samples," Papers 2312.17676, arXiv.org.
    24. Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2019. "Two-Step Estimation and Inference with Possibly Many Included Covariates," University of California at San Diego, Economics Working Paper Series qt86c7x315, Department of Economics, UC San Diego.
    25. Yanqin Fan & Fang Han & Wei Li & Xiao-Hua Zhou, 2019. "On rank estimators in increasing dimensions," Papers 1908.05255, arXiv.org.
    26. Michal Koles'ar & Ulrich K. Muller & Sebastian T. Roelsgaard, 2023. "The Fragility of Sparsity," Papers 2311.02299, arXiv.org, revised Dec 2024.
    27. Braun, Martin & Verdier, Valentin, 2023. "Estimation of spillover effects with matched data or longitudinal network data," Journal of Econometrics, Elsevier, vol. 233(2), pages 689-714.
    28. Mittag, Nikolas, 2019. "A simple method to estimate large fixed effects models applied to wage determinants," Labour Economics, Elsevier, vol. 61(C).
    29. Ng Cheuk Fai, 2022. "Robust Inference in High Dimensional Linear Model with Cluster Dependence," Papers 2212.05554, arXiv.org.
    30. Sabrina Di Addario & Patrick Kline & Raffaele Saggio & Mikkel Soelvsten, 2022. "It ain't where you're from it's where you're at: firm effects, state dependence, and the gender wage gap," Temi di discussione (Economic working papers) 1374, Bank of Italy, Economic Research and International Relations Area.
    31. James G. MacKinnon, 2022. "Using Large Samples in Econometrics," Working Paper 1482, Economics Department, Queen's University.
    32. Kranz, Sebastian, 2024. "From Replications to Revelations: Heteroskedasticity-Robust Inference," MPRA Paper 122724, University Library of Munich, Germany.
    33. Liu, Lin & Mukherjee, Rajarshi & Robins, James M., 2024. "Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators," Journal of Econometrics, Elsevier, vol. 240(2).
    34. Jochmans, K., 2019. "Heteroskedasticity-Robust Inference in Linear Regression Models," Cambridge Working Papers in Economics 1957, Faculty of Economics, University of Cambridge.
    35. He, Yi & Jaidee, Sombut & Gao, Jiti, 2023. "Most powerful test against a sequence of high dimensional local alternatives," Journal of Econometrics, Elsevier, vol. 234(1), pages 151-177.
    36. Wei, Waverly & Zhou, Yuqing & Zheng, Zeyu & Wang, Jingshen, 2024. "Inference on the best policies with many covariates," Journal of Econometrics, Elsevier, vol. 239(2).
    37. Vazquez-Bare, Gonzalo, 2023. "Identification and estimation of spillover effects in randomized experiments," Journal of Econometrics, Elsevier, vol. 237(1).
    38. Valentin Verdier, 2020. "Estimation and Inference for Linear Models with Two-Way Fixed Effects and Sparsely Matched Data," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 1-16, March.
    39. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2020. "Deep Learning for Individual Heterogeneity: An Automatic Inference Framework," Papers 2010.14694, arXiv.org, revised Jul 2021.
    40. Richard, Patrick, 2019. "Residual bootstrap tests in linear models with many regressors," Journal of Econometrics, Elsevier, vol. 208(2), pages 367-394.

  9. Matias D. Cattaneo & Michael Jansson & Whitney K. Newey, 2015. "Treatment Effects with Many Covariates and Heteroskedasticity," CREATES Research Papers 2015-31, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Holland, Ashley D., 2017. "Penalized spline estimation in the partially linear model," Journal of Multivariate Analysis, Elsevier, vol. 153(C), pages 211-235.
    2. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Ivan Fernandez-Val, 2016. "Conditional quantile processes based on series or many regressors," CeMMAP working papers 46/16, Institute for Fiscal Studies.

  10. Matias D. Cattaneo & Michael Jansson, 2014. "Bootstrapping Kernel-Based Semiparametric Estimators," CREATES Research Papers 2014-25, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2022. "Locally Robust Semiparametric Estimation," Econometrica, Econometric Society, vol. 90(4), pages 1501-1535, July.
    2. Dante Amengual & Enrique Sentana, 2016. "Comments on: Reflections on the Probability Space Induced by Moment Conditions with Implications for Bayesian Inference," Journal of Financial Econometrics, Oxford University Press, vol. 14(2), pages 248-252.

  11. Matias D. Cattaneo & Michael Jansson & Whitney K. Newey, 2012. "Alternative Asymptotics and the Partially Linear Model with Many Regressors," CREATES Research Papers 2012-02, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Matias D. Cattaneo & Max H. Farrell & Michael Jansson & Ricardo Masini, 2022. "Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators," Papers 2301.00277, arXiv.org, revised Feb 2024.
    2. Galbraith, John W. & Zinde-Walsh, Victoria, 2020. "Simple and reliable estimators of coefficients of interest in a model with high-dimensional confounding effects," Journal of Econometrics, Elsevier, vol. 218(2), pages 609-632.
    3. Anatolyev, Stanislav, 2021. "Mallows criterion for heteroskedastic linear regressions with many regressors," Economics Letters, Elsevier, vol. 203(C).
    4. Fan, Yanqin & Han, Fang & Li, Wei & Zhou, Xiao-Hua, 2020. "On rank estimators in increasing dimensions," Journal of Econometrics, Elsevier, vol. 214(2), pages 379-412.
    5. Anatolyev, Stanislav & Sølvsten, Mikkel, 2023. "Testing many restrictions under heteroskedasticity," Journal of Econometrics, Elsevier, vol. 236(1).
    6. Kuanhao Jiang & Rajarshi Mukherjee & Subhabrata Sen & Pragya Sur, 2022. "A New Central Limit Theorem for the Augmented IPW Estimator: Variance Inflation, Cross-Fit Covariance and Beyond," Papers 2205.10198, arXiv.org, revised Oct 2022.
    7. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "On Binscatter," Papers 1902.09608, arXiv.org, revised Apr 2024.
    8. Riccardo D'Adamo, 2018. "Cluster-Robust Standard Errors for Linear Regression Models with Many Controls," Papers 1806.07314, arXiv.org, revised Apr 2019.
    9. Holland, Ashley D., 2017. "Penalized spline estimation in the partially linear model," Journal of Multivariate Analysis, Elsevier, vol. 153(C), pages 211-235.
    10. Smith, Simon C. & Timmermann, Allan & Zhu, Yinchu, 2019. "Variable selection in panel models with breaks," Journal of Econometrics, Elsevier, vol. 212(1), pages 323-344.
    11. Wang, Wenjie, 2021. "Bootstrap Inference for Partially Linear Model with Many Regressors," MPRA Paper 106391, University Library of Munich, Germany.
    12. Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2019. "Two-Step Estimation and Inference with Possibly Many Included Covariates," University of California at San Diego, Economics Working Paper Series qt86c7x315, Department of Economics, UC San Diego.
    13. Yanqin Fan & Fang Han & Wei Li & Xiao-Hua Zhou, 2019. "On rank estimators in increasing dimensions," Papers 1908.05255, arXiv.org.
    14. Bruce E. Hansen, 2016. "The Risk of James--Stein and Lasso Shrinkage," Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1456-1470, December.
    15. Duncan Sheppard Gilchrist & Emily Glassberg Sands, 2016. "Something to Talk About: Social Spillovers in Movie Consumption," Journal of Political Economy, University of Chicago Press, vol. 124(5), pages 1339-1382.
    16. Mittag, Nikolas, 2019. "A simple method to estimate large fixed effects models applied to wage determinants," Labour Economics, Elsevier, vol. 61(C).
    17. Harold D Chiang & Yuya Sasaki, 2023. "On Using The Two-Way Cluster-Robust Standard Errors," Papers 2301.13775, arXiv.org.
    18. Wei, Waverly & Zhou, Yuqing & Zheng, Zeyu & Wang, Jingshen, 2024. "Inference on the best policies with many covariates," Journal of Econometrics, Elsevier, vol. 239(2).
    19. Richard, Patrick, 2019. "Residual bootstrap tests in linear models with many regressors," Journal of Econometrics, Elsevier, vol. 208(2), pages 367-394.

  12. H. Peter Boswijk & Michael Jansson & Morten Ørregaard Nielsen, 2012. "Improved Likelihood Ratio Tests for Cointegration Rank in the VAR Model," CREATES Research Papers 2012-39, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Liang, Chong & Schienle, Melanie, 2019. "Determination of vector error correction models in high dimensions," Working Paper Series in Economics 124, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    2. Marc Hallin & Ramon van den Akker & Bas Werker, 2012. "Rank-Based Tests of the Cointegrating Rank in Semiparametric Error Correction Models," Working Papers ECARES ECARES 2012-042, ULB -- Universite Libre de Bruxelles.
    3. Skrobotov Anton, 2018. "On Bootstrap Implementation of Likelihood Ratio Test for a Unit Root," Working Papers wpaper-2018-302, Gaidar Institute for Economic Policy, revised 2018.
    4. Matteo Barigozzi & Giuseppe Cavaliere & Lorenzo Trapani, 2021. "Inference in heavy-tailed non-stationary multivariate time series," Papers 2107.13894, arXiv.org.
    5. Samuel Brien & Michael Jansson & Morten Ørregaard Nielsen, 2022. "Nearly Efficient Likelihood Ratio Tests of a Unit Root in an Autoregressive Model of Arbitrary Order," Working Paper 1429, Economics Department, Queen's University.
    6. Pierre Perron & Gabriel Rodríguez, "undated". "Residuals-based Tests for Cointegration with GLS Detrended Data," Boston University - Department of Economics - Working Papers Series wp2015-017, Boston University - Department of Economics, revised 19 Oct 2015.
    7. Hallin, M. & Werker, B.J.M. & van den Akker, R., 2015. "Optimal Pseudo-Gaussian and Rank-based Tests of the Cointegration Rank in Semiparametric Error-correction Models," Discussion Paper 2015-001, Tilburg University, Center for Economic Research.
    8. Al-Sadoon, Majid M., 2017. "A unifying theory of tests of rank," Journal of Econometrics, Elsevier, vol. 199(1), pages 49-62.
    9. Zhou, Bo, 2024. "Semiparametrically optimal cointegration test," Journal of Econometrics, Elsevier, vol. 242(2).
    10. Hallin, Marc & van den Akker, Ramon & Werker, Bas J.M., 2016. "Semiparametric error-correction models for cointegration with trends: Pseudo-Gaussian and optimal rank-based tests of the cointegration rank," Journal of Econometrics, Elsevier, vol. 190(1), pages 46-61.

  13. Matias D. Cattaneo & Richard K. Crump & Michael Jansson, 2011. "Generalized Jackknife Estimators of Weighted Average Derivatives," CREATES Research Papers 2011-12, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Matias D. Cattaneo & Max H. Farrell & Michael Jansson & Ricardo Masini, 2022. "Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators," Papers 2301.00277, arXiv.org, revised Feb 2024.
    2. Mammen, Enno & Rothe, Christoph & Schienle, Melanie, 2014. "Semiparametric Estimation with Generated Covariates," SFB 649 Discussion Papers 2014-043, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    3. Andrew Ang & Dennis Kristensen, 2011. "Testing Conditional Factor Models," NBER Working Papers 17561, National Bureau of Economic Research, Inc.
    4. Kotlyarova, Yulia & Schafgans, Marcia M.A. & Zinde-Walsh, Victoria, 2021. "Rates of expansions for functional estimators," LSE Research Online Documents on Economics 113436, London School of Economics and Political Science, LSE Library.
    5. Rothe, Christoph & Firpo, Sergio, 2013. "Semiparametric Estimation and Inference Using Doubly Robust Moment Conditions," IZA Discussion Papers 7564, Institute of Labor Economics (IZA).
    6. Matias D. Cattaneo & Michael Jansson, 2014. "Bootstrapping Kernel-Based Semiparametric Estimators," CREATES Research Papers 2014-25, Department of Economics and Business Economics, Aarhus University.
    7. Sadikoglu, Serhan, 2019. "Essays in econometric theory," Other publications TiSEM 99d83644-f9dc-49e3-a4e1-5, Tilburg University, School of Economics and Management.
    8. Cattaneo, Matias D. & Jansson, Michael, 2022. "Average Density Estimators: Efficiency And Bootstrap Consistency," Econometric Theory, Cambridge University Press, vol. 38(6), pages 1140-1174, December.
    9. Matsushita, Yukitoshi & Otsu, Taisuke, 2018. "Likelihood inference on semiparametric models: average derivative and treatment effect," LSE Research Online Documents on Economics 85870, London School of Economics and Political Science, LSE Library.
    10. Cizek, Pavel & Sadikoglu, Serhan, 2022. "Nonseparable Panel Models with Index Structure and Correlated Random Effects," Discussion Paper 2022-009, Tilburg University, Center for Economic Research.
    11. Max H. Farrell, 2013. "Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations," Papers 1309.4686, arXiv.org, revised Feb 2018.
    12. Matias D. Cattaneo & Michael Jansson, 2018. "Kernel†Based Semiparametric Estimators: Small Bandwidth Asymptotics and Bootstrap Consistency," Econometrica, Econometric Society, vol. 86(3), pages 955-995, May.
    13. Harold D. Chiang & Bing Yang Tan, 2020. "Empirical likelihood and uniform convergence rates for dyadic kernel density estimation," Papers 2010.08838, arXiv.org, revised May 2022.
    14. Cizek, P. & Lei, J., 2013. "Identification and Estimation of Nonseparable Single-Index Models in Panel Data with Correlated Random Effects," Other publications TiSEM 73e394eb-6799-4c79-af23-8, Tilburg University, School of Economics and Management.
    15. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018. "On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 767-779, April.
    16. Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2019. "Two-Step Estimation and Inference with Possibly Many Included Covariates," University of California at San Diego, Economics Working Paper Series qt86c7x315, Department of Economics, UC San Diego.
    17. Jia Li & Dacheng Xiu, 2016. "Generalized Method of Integrated Moments for High‐Frequency Data," Econometrica, Econometric Society, vol. 84, pages 1613-1633, July.
    18. Nagasawa, Kenichi, 2020. "Identification and Estimation of Group-Level Partial Effects," The Warwick Economics Research Paper Series (TWERPS) 1243, University of Warwick, Department of Economics.
    19. Ruijun Bu & Jihyun Kim & Bin Wang, 2020. "Uniform and Lp Convergences of Nonparametric Estimation for Diffusion Models," Working Papers 202021, University of Liverpool, Department of Economics.
    20. Yukitoshi Matsushita & Taisuke Otsu, 2019. "Jackknife, small bandwidth and high-dimensional asymptotics," STICERD - Econometrics Paper Series 605, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    21. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2020. "Deep Learning for Individual Heterogeneity: An Automatic Inference Framework," Papers 2010.14694, arXiv.org, revised Jul 2021.

  14. Matias D. Cattaneo & Richard K. Crump & Michael Jansson, 2010. "Bootstrapping Density-Weighted Average Derivatives," CREATES Research Papers 2010-23, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Paulo Parente & Richard J. Smith, 2019. "Quasi-maximum likelihood and the kernel block bootstrap for nonlinear dynamic models," CeMMAP working papers CWP60/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Kotlyarova, Yulia & Schafgans, Marcia M.A. & Zinde-Walsh, Victoria, 2021. "Rates of expansions for functional estimators," LSE Research Online Documents on Economics 113436, London School of Economics and Political Science, LSE Library.
    3. Yulia Kotlyarova & Marcia M Schafgans & Victoria Zinde-Walsh, 2011. "Adapting Kernel Estimation to Uncertain Smoothness," STICERD - Econometrics Paper Series 557, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    4. Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2019. "Two-Step Estimation and Inference with Possibly Many Included Covariates," University of California at San Diego, Economics Working Paper Series qt86c7x315, Department of Economics, UC San Diego.
    5. Clara Lía Machado & Carlos León & Miguel Sarmiento & Freddy Cepeda & Orlando Chipatecua & Jorge cely, 2010. "Riesgo Sistémico y Estabilidad del Sistema de Pagos de Alto Valor en Colombia: Análisis bajo Topología de Redes y Simulación de Pagos," Borradores de Economia 627, Banco de la Republica de Colombia.
    6. Konrad Menzel, 2021. "Bootstrap With Cluster‐Dependence in Two or More Dimensions," Econometrica, Econometric Society, vol. 89(5), pages 2143-2188, September.
    7. Clara Machado & Carlos León & Miguel Sarmiento & Freddy Cepeda & Orlando Chipatecua & Jorge Cely, 2011. "Riesgo Sistémico Y Estabilidad Del Sistema De Pagos De Alto Valor En Colombia: Análisis Bajo," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 29(65), pages 106-175, June.
    8. Paulo M.D.C. Parente & Richard J. Smith, 2018. "Generalised Empirical Likelihood Kernel Block Bootstrapping," Working Papers REM 2018/55, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    9. Robert Griffiths & Richard Barron & Michelle Gleeson & Mark Danese & Anthony O’Hagan & Victoria Chia & Jason Legg & Gary Lyman, 2012. "Granulocyte-Colony Stimulating Factor Use and Medical Costs after Initial Adjuvant Chemotherapy in Older Patients with Early-Stage Breast Cancer," PharmacoEconomics, Springer, vol. 30(2), pages 103-118, February.

  15. Michael Jansson & Morten Ørregaard Nielsen, 2009. "Nearly Efficient Likelihood Ratio Tests of the Unit Root Hypothesis," CREATES Research Papers 2009-37, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Maggie E. C. Jones & Morten Ørregaard Nielsen & Michael Ksawery Popiel, 2014. "A fractionally cointegrated VAR analysis of economic voting and political support," CREATES Research Papers 2014-23, Department of Economics and Business Economics, Aarhus University.
    2. Bo Zhou, 2023. "Semiparametrically Optimal Cointegration Test," Papers 2305.08880, arXiv.org.
    3. Michael Jansson & Morten Ørregaard Nielsen, 2009. "Nearly Efficient Likelihood Ratio Tests for Seasonal Unit Roots," CREATES Research Papers 2009-55, Department of Economics and Business Economics, Aarhus University.
    4. Skrobotov Anton, 2018. "On Bootstrap Implementation of Likelihood Ratio Test for a Unit Root," Working Papers wpaper-2018-302, Gaidar Institute for Economic Policy, revised 2018.
    5. Gaowen Wang, 2017. "Modified Unit Root Tests with Nuisance Parameter Free Asymptotic Distributions," Methodology and Computing in Applied Probability, Springer, vol. 19(2), pages 519-538, June.
    6. Samuel Brien & Michael Jansson & Morten Ørregaard Nielsen, 2022. "Nearly Efficient Likelihood Ratio Tests of a Unit Root in an Autoregressive Model of Arbitrary Order," Working Paper 1429, Economics Department, Queen's University.
    7. H. Peter Boswijk & Michael Jansson & Morten Ørregaard Nielsen, 2012. "Improved Likelihood Ratio Tests for Cointegration Rank in the VAR Model," CREATES Research Papers 2012-39, Department of Economics and Business Economics, Aarhus University.
    8. Christensen, Bent Jesper & Kruse, Robinson & Sibbertsen, Philipp, 2013. "A unified framework for testing in the linear regression model under unknown order of fractional integration," Hannover Economic Papers (HEP) dp-519, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    9. Popiel Michal Ksawery, 2017. "Interest rate pass-through: a nonlinear vector error-correction approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(5), pages 1-20, December.
    10. Hernández, Juan R., 2016. "Unit Root Testing in ARMA Models: A Likelihood Ratio Approach," MPRA Paper 100857, University Library of Munich, Germany.
    11. James Morley & Irina B. Panovska & Tara M. Sinclair, 2014. "Testing Stationarity for Unobserved Components Models," Discussion Papers 2012-41B, School of Economics, The University of New South Wales.
    12. Petrenko, Victoria (Петренко, ВИктория) & Skrobotov, Anton (Скроботов, Антон) & Turuntseva, Maria (Турунцева, Мария), 2016. "Testing of Changes in Persistence and Their Effect on the Forecasting Quality [Тестирование Изменения Инерционности И Влияние На Качество Прогнозов]," Working Papers 542, Russian Presidential Academy of National Economy and Public Administration.
    13. Skrobotov, Anton, 2015. "Likelihood Ratio Test for Change in Persistence," Published Papers skr001, Russian Presidential Academy of National Economy and Public Administration.
    14. Walter Distaso & Rustam Ibragimov & Alexander Semenov & Anton Skrobotov, 2020. "COVID-19: Tail Risk and Predictive Regressions," Papers 2009.02486, arXiv.org, revised Oct 2021.
    15. Zhou, Bo, 2024. "Semiparametrically optimal cointegration test," Journal of Econometrics, Elsevier, vol. 242(2).
    16. Hernández Juan R., 2016. "Unit Root Testing in ARMA Models: A Likelihood Ratio Approach," Working Papers 2016-03, Banco de México.
    17. Mehdi Hosseinkouchack & Uwe Hassler, 2016. "Powerful Unit Root Tests Free of Nuisance Parameters," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(4), pages 533-554, July.

  16. Michael Jansson & Morten Ørregaard Nielsen, 2009. "Nearly Efficient Likelihood Ratio Tests for Seasonal Unit Roots," CREATES Research Papers 2009-55, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Michael Jansson & Morten Ørregaard Nielsen, 2009. "Nearly Efficient Likelihood Ratio Tests for Seasonal Unit Roots," CREATES Research Papers 2009-55, Department of Economics and Business Economics, Aarhus University.
    2. Skrobotov Anton, 2018. "On Bootstrap Implementation of Likelihood Ratio Test for a Unit Root," Working Papers wpaper-2018-302, Gaidar Institute for Economic Policy, revised 2018.
    3. Samuel Brien & Michael Jansson & Morten Ørregaard Nielsen, 2022. "Nearly Efficient Likelihood Ratio Tests of a Unit Root in an Autoregressive Model of Arbitrary Order," Working Paper 1429, Economics Department, Queen's University.
    4. Eroğlu, Burak Alparslan & Göğebakan, Kemal Çağlar & Trokić, Mirza, 2018. "Powerful nonparametric seasonal unit root tests," Economics Letters, Elsevier, vol. 167(C), pages 75-80.

  17. Matias D. Cattaneo & Richard K. Crump & Michael Jansson, 2009. "Robust Data-Driven Inference for Density-Weighted Average Derivatives," CREATES Research Papers 2009-46, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Hiroaki Kaido, 2014. "Asymptotically efficient estimation of weighted average derivatives with an interval censored variable," CeMMAP working papers 03/14, Institute for Fiscal Studies.
    2. Matias D. Cattaneo & Max H. Farrell & Michael Jansson & Ricardo Masini, 2022. "Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators," Papers 2301.00277, arXiv.org, revised Feb 2024.
    3. Cattaneo, Matias D & Crump, Richard K & Jansson, Michael, 2014. "Small Bandwidth Asymptotics For Density-Weighted Average Derivatives," Department of Economics, Working Paper Series qt3jd237cg, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    4. Dennis Kristensen, 2009. "Semiparametric modelling and estimation (in Russian)," Quantile, Quantile, issue 7, pages 53-83, September.
    5. Hao Dong & Taisuke Otsu & Luke Taylor, 2019. "Average Derivative Estimation Under Measurement Error," Departmental Working Papers 1901, Southern Methodist University, Department of Economics.
    6. Matias D. Cattaneo & Richard K. Crump & Michael Jansson, 2013. "Rejoinder," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(504), pages 1265-1268, December.
    7. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Ivan Fernandez-Val, 2016. "Conditional quantile processes based on series or many regressors," CeMMAP working papers 46/16, Institute for Fiscal Studies.
    8. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg, 2020. "Characteristic-Sorted Portfolios: Estimation and Inference," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 531-551, July.
    9. Matsushita, Yukitoshi & Otsu, Taisuke, 2018. "Likelihood inference on semiparametric models: average derivative and treatment effect," LSE Research Online Documents on Economics 85870, London School of Economics and Political Science, LSE Library.
    10. Matias Cattaneo & Michael Jansson & Whitney K. Newey, 2015. "Alternative asymptotics and the partially linear model with many regressors," CeMMAP working papers 36/15, Institute for Fiscal Studies.
    11. Donald W.K. Andrews & Xiaoxia Shi, 2011. "Nonparametric Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1840, Cowles Foundation for Research in Economics, Yale University.
    12. Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2019. "Two-Step Estimation and Inference with Possibly Many Included Covariates," University of California at San Diego, Economics Working Paper Series qt86c7x315, Department of Economics, UC San Diego.
    13. Atchadé, Yves F. & Cattaneo, Matias D., 2014. "A martingale decomposition for quadratic forms of Markov chains (with applications)," Stochastic Processes and their Applications, Elsevier, vol. 124(1), pages 646-677.
    14. Yukitoshi Matsushita & Taisuke Otsu, 2018. "Likelihood Inference on Semiparametric Models: Average Derivative and Treatment Effect," The Japanese Economic Review, Springer, vol. 69(2), pages 133-155, June.
    15. Yukitoshi Matsushita & Taisuke Otsu, 2019. "Jackknife, small bandwidth and high-dimensional asymptotics," STICERD - Econometrics Paper Series 605, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    16. Valeri Voev, 2009. "On the Economic Evaluation of Volatility Forecasts," CREATES Research Papers 2009-56, Department of Economics and Business Economics, Aarhus University.
    17. Ulrich K. Müller & Yulong Wang, 2017. "Fixed- Asymptotic Inference About Tail Properties," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1334-1343, July.

  18. Matias D. Cattaneo & Richard K. Crump & Michael Jansson, 2008. "Small Bandwidth Asymptotics for Density-Weighted Average Derivatives," CREATES Research Papers 2008-24, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Hiroaki Kaido, 2014. "Asymptotically efficient estimation of weighted average derivatives with an interval censored variable," CeMMAP working papers 03/14, Institute for Fiscal Studies.
    2. Matsushita, Yukitoshi & Otsu, Taisuke, 2020. "Jackknife empirical likelihood: small bandwidth, sparse network and high-dimension asymptotic," LSE Research Online Documents on Economics 106488, London School of Economics and Political Science, LSE Library.
    3. Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael, 2010. "Robust Data-Driven Inference for Density-Weighted Average Derivatives," Journal of the American Statistical Association, American Statistical Association, vol. 105(491), pages 1070-1083.
    4. Kotlyarova, Yulia & Schafgans, Marcia M.A. & Zinde-Walsh, Victoria, 2021. "Rates of expansions for functional estimators," LSE Research Online Documents on Economics 113436, London School of Economics and Political Science, LSE Library.
    5. Wang, Yulong & Xiao, Zhijie, 2022. "Estimation and inference about tail features with tail censored data," Journal of Econometrics, Elsevier, vol. 230(2), pages 363-387.
    6. Bryan S. Graham, 2024. "Sparse Network Asymptotics for Logistic Regression Under Possible Misspecification," Econometrica, Econometric Society, vol. 92(6), pages 1837-1868, November.
    7. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    8. Hao Dong & Taisuke Otsu & Luke Taylor, 2019. "Average Derivative Estimation Under Measurement Error," Departmental Working Papers 1901, Southern Methodist University, Department of Economics.
    9. Stéphane Bonhomme & Martin Weidner, 2020. "Minimizing Sensitivity to Model Misspecification," CeMMAP working papers CWP37/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Bryan S. Graham, 2019. "Dyadic Regression," Papers 1908.09029, arXiv.org.
    11. Graham, Bryan S. & Niu, Fengshi & Powell, James L., 2024. "Kernel density estimation for undirected dyadic data," Journal of Econometrics, Elsevier, vol. 240(2).
    12. Max H. Farrell, 2013. "Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations," Papers 1309.4686, arXiv.org, revised Feb 2018.
    13. Stéphane Bonhomme & Martin Weidner, 2022. "Minimizing sensitivity to model misspecification," Quantitative Economics, Econometric Society, vol. 13(3), pages 907-954, July.
    14. Jun, Sung Jae & Pinkse, Joris & Wan, Yuanyuan, 2015. "Classical Laplace estimation for n3-consistent estimators: Improved convergence rates and rate-adaptive inference," Journal of Econometrics, Elsevier, vol. 187(1), pages 201-216.
    15. Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2019. "Two-Step Estimation and Inference with Possibly Many Included Covariates," University of California at San Diego, Economics Working Paper Series qt86c7x315, Department of Economics, UC San Diego.
    16. Yukitoshi Matsushita & Taisuke Otsu, 2019. "Jackknife, small bandwidth and high-dimensional asymptotics," STICERD - Econometrics Paper Series 605, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    17. Bryan S. Graham, 2020. "Sparse network asymptotics for logistic regression," Papers 2010.04703, arXiv.org.
    18. Dennis Kristensen, 2009. "Semiparametric Modelling and Estimation: A Selective Overview," CREATES Research Papers 2009-44, Department of Economics and Business Economics, Aarhus University.
    19. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  19. Michael Jansson, 2007. "Semiparametric Power Envelopes for Tests of the Unit Root Hypothesis," CREATES Research Papers 2007-12, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Werker, Bas J.M. & Zhou, Bo, 2022. "Semiparametric testing with highly persistent predictors," Journal of Econometrics, Elsevier, vol. 227(2), pages 347-370.
    2. Bo Zhou, 2023. "Semiparametrically Optimal Cointegration Test," Papers 2305.08880, arXiv.org.
    3. Becheri, I.G. & Drost, Feike C. & van den Akker, R., 2013. "Asymptotically UMP Panel Unit Root Tests," Discussion Paper 2013-017, Tilburg University, Center for Economic Research.
    4. Michael Jansson & Morten Ørregaard Nielsen, 2009. "Nearly Efficient Likelihood Ratio Tests for Seasonal Unit Roots," CREATES Research Papers 2009-55, Department of Economics and Business Economics, Aarhus University.
    5. Marc Hallin & Ramon van den Akker & Bas Werker, 2012. "Rank-Based Tests of the Cointegrating Rank in Semiparametric Error Correction Models," Working Papers ECARES ECARES 2012-042, ULB -- Universite Libre de Bruxelles.
    6. Bas Werker & Bo Zhou, 2020. "Semiparametric Testing with Highly Persistent Predictors," Papers 2009.08291, arXiv.org.
    7. David I. Harvey & Stephen J. Leybourne & A. M. Robert Taylor, 2007. "Unit root testing in practice: dealing with uncertainty over the trend and initial condition," Discussion Papers 07/03, University of Nottingham, Granger Centre for Time Series Econometrics.
    8. Christis Katsouris, 2023. "Break-Point Date Estimation for Nonstationary Autoregressive and Predictive Regression Models," Papers 2308.13915, arXiv.org.
    9. 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.
    10. Hallin, M. & Werker, B.J.M. & van den Akker, R., 2015. "Optimal Pseudo-Gaussian and Rank-based Tests of the Cointegration Rank in Semiparametric Error-correction Models," Discussion Paper 2015-001, Tilburg University, Center for Economic Research.
    11. 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.
    12. Becheri, I.G. & Drost, Feike C. & van den Akker, R., 2013. "Asymptotically UMP Panel Unit Root Tests," Other publications TiSEM e34b7d23-8e53-4cea-ba69-5, Tilburg University, School of Economics and Management.
    13. Georgiev, I & Rodrigues, PMM & Taylor, AMR, 2017. "Unit Root Tests and Heavy-Tailed Innovations," Essex Finance Centre Working Papers 18832, University of Essex, Essex Business School.
    14. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2009. "Hypothesis testing in econometrics," IEW - Working Papers 444, Institute for Empirical Research in Economics - University of Zurich.
    15. 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.
    16. José Luis Montiel Olea & Mikkel Plagborg‐Møller, 2021. "Local Projection Inference Is Simpler and More Robust Than You Think," Econometrica, Econometric Society, vol. 89(4), pages 1789-1823, July.
    17. Wichert, Oliver & Becheri, I. Gaia & Drost, Feike C. & van den Akker, Ramon, 2019. "Local Asymptotic Equivalence of the Bai and Ng (2004) and Moon and Perron (2004) Frameworks for Panel Unit Root Testing," Other publications TiSEM 9644bd02-6df0-463d-b041-9, Tilburg University, School of Economics and Management.
    18. Zhang, Rongmao & Chan, Ngai Hang, 2018. "Portmanteau-type tests for unit-root and cointegration," Journal of Econometrics, Elsevier, vol. 207(2), pages 307-324.
    19. Dong Jin Lee, 2016. "Parametric and Semi-Parametric Efficient Tests for Parameter Instability," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(4), pages 451-475, July.
    20. Michael Jansson & Morten Ø. Nielsen, 2009. "Nearly Efficient Likelihood Ratio Tests Of The Unit Root Hypothesis," Working Paper 1213, Economics Department, Queen's University.
    21. Hallin, Marc & van den Akker, Ramon & Werker, Bas J.M., 2011. "A class of simple distribution-free rank-based unit root tests," Journal of Econometrics, Elsevier, vol. 163(2), pages 200-214, August.
    22. Hallin, M. & van den Akker, R. & Werker, B.J.M., 2011. "A Class of Simple Distribution-free Rank-based Unit Root Tests (Revision of DP 2010-72)," Discussion Paper 2011-002, Tilburg University, Center for Economic Research.
    23. Zhou, Bo, 2024. "Semiparametrically optimal cointegration test," Journal of Econometrics, Elsevier, vol. 242(2).
    24. Adam Lee, 2024. "Locally Regular and Efficient Tests in Non-Regular Semiparametric Models," Papers 2403.05999, arXiv.org, revised Dec 2024.
    25. David I. Harvey, & Stephen J. Leybourne, & A. M. Robert Taylor, 2007. "Testing for a unit root when uncertain about the trend [Revised to become 07/03 above]," Discussion Papers 06/03, University of Nottingham, Granger Centre for Time Series Econometrics.

  20. Mathias D. Cattaneo & Richard K. Crump & Michael Jansson, 2007. "Optimal Inference for Instrumental Variables Regression with non-Gaussian Errors," CREATES Research Papers 2007-11, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Donald W.K. Andrews & Patrik Guggenberger, 2007. "Applications of Subsampling, Hybrid, and Size-Correction Methods," Cowles Foundation Discussion Papers 1608, Cowles Foundation for Research in Economics, Yale University.
    2. Kaplan, David M. & Sun, Yixiao, 2012. "Smoothed Estimating Equations For Instrumental Variables Quantile Regression," University of California at San Diego, Economics Working Paper Series qt888657tp, Department of Economics, UC San Diego.
    3. Tetsuya Kaji, 2019. "Theory of Weak Identification in Semiparametric Models," Papers 1908.10478, arXiv.org, revised Aug 2020.
    4. Aviv Nevo & Adam Rosen, 2008. "Identification with imperfect instruments," CeMMAP working papers CWP16/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Adam Lee & Geert Mesters, 2021. "Locally Robust Inference for Non-Gaussian Linear Simultaneous Equations Models," Working Papers 1278, Barcelona School of Economics.
    6. Keisuke Hirano & Jack R. Porter, 2023. "Asymptotic Representations for Sequential Decisions, Adaptive Experiments, and Batched Bandits," Papers 2302.03117, arXiv.org.
    7. Kolesár, Michal, 2018. "Minimum distance approach to inference with many instruments," Journal of Econometrics, Elsevier, vol. 204(1), pages 86-100.
    8. Keisuke Hirano & Jack R. Porter, 2015. "Location Properties of Point Estimators in Linear Instrumental Variables and Related Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 720-733, December.
    9. Sølvsten, Mikkel, 2020. "Robust estimation with many instruments," Journal of Econometrics, Elsevier, vol. 214(2), pages 495-512.
    10. 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.
    11. 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.

  21. Niels Haldrup & Michael Jansson, 2005. "Improving Size and Power in Unit Root Testing," Economics Working Papers 2005-02, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. 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.
    2. Ivan D. Trofimov, 2024. "A Time Series Analysis of Corporate Profit Rates in Selected Developed Economies: Asymmetries, Non-linearity and Mean Reversion," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 22(2), pages 303-338, June.
    3. Swasti R. Khuntia & Jose L. Rueda & Mart A.M.M. Van der Meijden, 2018. "Long-Term Electricity Load Forecasting Considering Volatility Using Multiplicative Error Model," Energies, MDPI, vol. 11(12), pages 1-19, November.
    4. Pierre Perron & Zhongjun Qu, 2006. "A Simple Modification to Improve the Finite Sample Properties of Ng and Perron’s Unit Root Tests," Boston University - Department of Economics - Working Papers Series WP2006-010, Boston University - Department of Economics.
    5. M. R. Anantha Ramu & K. Gayithri, 2017. "Fiscal deficit and inflation linkages in India: tracking the transmission channels," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 19(1), pages 1-24, April.

  22. 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. Werker, Bas J.M. & Zhou, Bo, 2022. "Semiparametric testing with highly persistent predictors," Journal of Econometrics, Elsevier, vol. 227(2), pages 347-370.
    2. Bo Zhou, 2023. "Semiparametrically Optimal Cointegration Test," Papers 2305.08880, arXiv.org.
    3. Fukang Zhu & Zongwu Cai & Liang Peng, 2014. "Predictive regressions for macroeconomic data," Papers 1404.7642, arXiv.org.
    4. Christis Katsouris, 2023. "Unified Inference for Dynamic Quantile Predictive Regression," Papers 2309.14160, arXiv.org, revised Nov 2023.
    5. 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.
    6. 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.
    7. Lee, Ji Hyung, 2016. "Predictive quantile regression with persistent covariates: IVX-QR approach," Journal of Econometrics, Elsevier, vol. 192(1), pages 105-118.
    8. 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.
    9. Andersen, Torben G. & Varneskov, Rasmus T., 2022. "Testing for parameter instability and structural change in persistent predictive regressions," Journal of Econometrics, Elsevier, vol. 231(2), pages 361-386.
    10. 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.
    11. Avdis, Efstathios & Wachter, Jessica A., 2017. "Maximum likelihood estimation of the equity premium," Journal of Financial Economics, Elsevier, vol. 125(3), pages 589-609.
    12. Ren, Yu & Tu, Yundong & Yi, Yanping, 2019. "Balanced predictive regressions," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 118-142.
    13. 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.
    14. Michael Jansson, 2008. "Semiparametric Power Envelopes for Tests of the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 76(5), pages 1103-1142, September.
    15. Chiquoine, Benjamin & Hjalmarsson, Erik, 2009. "Jackknifing stock return predictions," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 793-803, December.
    16. 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).
    17. 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.
    18. 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.
    19. Bas Werker & Bo Zhou, 2020. "Semiparametric Testing with Highly Persistent Predictors," Papers 2009.08291, arXiv.org.
    20. 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.
    21. Christis Katsouris, 2023. "Limit Theory under Network Dependence and Nonstationarity," Papers 2308.01418, arXiv.org, revised Aug 2023.
    22. 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.
    23. 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.
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    82. Müller, Ulrich K. & Watson, Mark W., 2013. "Low-frequency robust cointegration testing," Journal of Econometrics, Elsevier, vol. 174(2), pages 66-81.
    83. 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.
    84. Yijie Fei, 2024. "A joint test of predictability and structural break in predictive regressions," Empirical Economics, Springer, vol. 67(3), pages 985-1013, September.
    85. 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.
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    87. 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.
    88. 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.
    89. Stambaugh, Robert F. & Pástor, Luboš, 2007. "Predictive Systems: Living with Imperfect Predictors," CEPR Discussion Papers 6076, C.E.P.R. Discussion Papers.
    90. Pitarakis, Jean-Yves, 2019. "Predictive Regressions," UC3M Working papers. Economics 28554, Universidad Carlos III de Madrid. Departamento de Economía.
    91. Christis Katsouris, 2024. "Robust Estimation in Network Vector Autoregression with Nonstationary Regressors," Papers 2401.04050, arXiv.org.
    92. 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.
    93. 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.
    94. 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.
    95. 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.
    96. Hjalmarsson, Erik, 2005. "On the Predictability of Global Stock Returns," Working Papers in Economics 161, University of Gothenburg, Department of Economics.
    97. 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.
    98. 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).
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  23. Elliott, Graham & Jansson, Michael & Pesavento, Elena, 2004. "Optimal Power for Testing Potential Cointegrating Vectors with Known," University of California at San Diego, Economics Working Paper Series qt2bv7n071, Department of Economics, UC San Diego.

    Cited by:

    1. Elliott, Graham & Jansson, Michael, 2000. "Testing for Unit Roots with Stationary Covariances," Department of Economics, Working Paper Series qt47k7z69n, Department of Economics, Institute for Business and Economic Research, UC Berkeley.

  24. Jansson, Michael & Haldrup, Niels Prof., 2000. "Spurious Regression, Cointegration, and Near Cointegration: A Unifying Approach," Department of Economics, Working Paper Series qt5b13w0rp, Department of Economics, Institute for Business and Economic Research, UC Berkeley.

    Cited by:

    1. Angela Huang, 2004. "Examining finite-sample problems in the application of cointegration tests for long-run bilateral exchange rates," Reserve Bank of New Zealand Discussion Paper Series DP 2004/08, Reserve Bank of New Zealand.

  25. Graham Elliott & Michael Jansson, "undated". "Testing for Unit Roots with Stationary Covariates," Economics Working Papers 2000-6, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Galvao Jr., Antonio F., 2009. "Unit root quantile autoregression testing using covariates," Journal of Econometrics, Elsevier, vol. 152(2), pages 165-178, October.
    2. Jomana Amara, 2011. "Testing for stationarity using covariates: an application to purchasing power parity," Applied Economics Letters, Taylor & Francis Journals, vol. 18(13), pages 1295-1301.
    3. Cláudia Duarte, 2015. "Covariate-augmented unit root tests with mixed-frequency data," Working Papers w201507, Banco de Portugal, Economics and Research Department.
    4. Rossi, Barbara & Pesavento, Elena, 2003. "Small Sample Confidence Intervals for Multivariate Impulse Response Functions at Long Horizons," Working Papers 03-19, Duke University, Department of Economics.
    5. M. Hashem Pesaran & L. Vanessa Smith & Takashi Yamagata, 2008. "Panel Unit Root Tests in the Presence of a Multifactor Error Structure," CESifo Working Paper Series 2193, CESifo.
    6. Effrosyni Diamantoudi, 2003. "Equilibrium binding agreements under diverse behavioral assumptions," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 22(2), pages 431-446, September.
    7. Lawrence J. Christiano & Martin S. Eichenbaum & Robert J. Vigfusson, 2003. "What happens after a technology shock?," International Finance Discussion Papers 768, Board of Governors of the Federal Reserve System (U.S.).
    8. Brissimis, Sophocles & Migiakis, Petros, 2010. "Inflation persistence and the rationality of inflation expectations," MPRA Paper 29052, University Library of Munich, Germany.
    9. Maican, Florin G. & Sweeney, Richard J., 2013. "Real exchange rate adjustment in European transition countries," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 907-926.
    10. Astill, Sam & Taylor, A.M. Robert & Kellard, Neil & Korkos, Ioannis, 2023. "Using covariates to improve the efficacy of univariate bubble detection methods," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 342-366.
    11. Elena Pesavento, 2006. "Near-Optimal Unit Root Tests with Stationary Covariates with Better Finite Sample Size," Economics Working Papers ECO2006/18, European University Institute.
    12. Tsong, Ching-Chuan & Wu, Chien-Wei & Chiu, Hsien-Hung & Lee, Cheng-Feng, 2013. "Covariate unit root tests under structural change and asymmetric STAR dynamics," Economic Modelling, Elsevier, vol. 33(C), pages 101-112.
    13. Emilian DOBRESCU, 2016. "Controversies over the Size of the Public Budget," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 5-34, December.
    14. Ayşegül Çorakcı & Furkan Emirmahmutoglu & Tolga Omay, 2017. "Re-examining the real interest rate parity hypothesis (RIPH) using panel unit root tests with asymmetry and cross-section dependence," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(1), pages 91-120, February.
    15. Yang, Yang & Zhao, Zhao, 2020. "Quantile nonlinear unit root test with covariates and an application to the PPP hypothesis," Economic Modelling, Elsevier, vol. 93(C), pages 728-736.
    16. Bo Sandemann Rasmussen, "undated". "Government Debt and Capital Accumulation in the Blanchard-Cass-Yaari OLG Model," Economics Working Papers 2000-14, Department of Economics and Business Economics, Aarhus University.
    17. Sebastian Fossati, 2013. "Unit root testing with stationary covariates and a structural break in the trend function," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(3), pages 368-384, May.
    18. Ching-Chuan Tsong, 2010. "Are Real Exchange Rates Mean Reverting in Developing Economies in Asia? A Covariate Stationarity Approach," International Economic Journal, Taylor & Francis Journals, vol. 24(3), pages 397-412.
    19. Lee, Cheng-Feng & Tsong, Ching-Chuan, 2009. "Bootstrapping covariate stationarity tests for inflation rates," Economic Modelling, Elsevier, vol. 26(6), pages 1443-1448, November.
    20. Jansson, Michael, 2004. "Stationarity Testing With Covariates," Econometric Theory, Cambridge University Press, vol. 20(1), pages 56-94, February.
    21. Elliott, Graham & Pesavento, Elena, 2006. "On the Failure of Purchasing Power Parity for Bilateral Exchange Rates after 1973," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(6), pages 1405-1430, September.
    22. Ilir Miteza, 2012. "The Law of One Price in Six Central and Eastern European Economies," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 54(3), pages 581-596, September.
    23. Rossi, Barbara & Pesavento, Elena, 2003. "Do Technology Shocks Drive Hours Up or Down? A Little Evidence from an Agnostic Procedure," Working Papers 03-23, Duke University, Department of Economics.
    24. Costantini, Mauro & Lupi, Claudio, 2011. "A Simple Panel-CADF Test for Unit Roots," Economics & Statistics Discussion Papers esdp11062, University of Molise, Department of Economics.
    25. Tsong, Ching-Chuan & Lee, Cheng-Feng, 2011. "Asymmetric inflation dynamics: Evidence from quantile regression analysis," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 668-680.
    26. Tsong Ching-Chuan, 2012. "Unit Root Testing with Stationary Covariates in the Framework of Asymmetric STAR Nonlinearity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(5), pages 1-27, December.
    27. Lance J. Bachmeier & Norman R. Swanson, 2003. "Predicting Inflation: Does The Quantity Theory Help?," Departmental Working Papers 200317, Rutgers University, Department of Economics.
    28. Tsong, Ching-Chuan, 2011. "Testing for a unit root with covariates against nonlinear alternatives," Economic Modelling, Elsevier, vol. 28(3), pages 1226-1234, May.
    29. Stauskas, Ovidijus, 2019. "On the Limit Theory of Mixed to Unity VARs: Panel Setting With Weakly Dependent Errors," Working Papers 2019:2, Lund University, Department of Economics.
    30. Boriss Siliverstovs, "undated". "The Bi-parameter Smooth Transition AutoRegressive model," Economics Working Papers 2000-16, Department of Economics and Business Economics, Aarhus University.
    31. Cheng-Feng Lee & Ching-Chuan Tsong, 2013. "Bootstrapping Covariate Unit Root Tests: An Application To Inflation Rates," Bulletin of Economic Research, Wiley Blackwell, vol. 65, pages 165-174, May.
    32. Hallin, Marc & van den Akker, Ramon & Werker, Bas J.M., 2011. "A class of simple distribution-free rank-based unit root tests," Journal of Econometrics, Elsevier, vol. 163(2), pages 200-214, August.
    33. Lupi, Claudio, 2009. "Covariate Augmented Dickey-Fuller Tests with R," Economics & Statistics Discussion Papers esdp09051, University of Molise, Department of Economics.
    34. Fossati, Sebastian, 2011. "Covariate Unit Root Tests with Good Size and Power," Working Papers 2011-4, University of Alberta, Department of Economics.
    35. Lyócsa, Štefan & Výrost, Tomáš & Baumöhl, Eduard, 2011. "Unit-root and stationarity testing with empirical application on industrial production of CEE-4 countries," MPRA Paper 29648, University Library of Munich, Germany.
    36. Barbara Rossi & Elena Pesavento, 2004. "Do Technology Shocks Drive Hours Up or Down?," Econometric Society 2004 North American Summer Meetings 96, Econometric Society.
    37. Maurizio Bovi, 2004. "The Dark, And Independent, Side Of Italy," ISAE Working Papers 46, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    38. Joakim Westerlund, 2013. "A computationally convenient unit root test with covariates, conditional heteroskedasticity and efficient detrending," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(4), pages 477-495, July.
    39. Lee, Cheng-Feng & Hu, Te-Chung & Li, Ping-Cheng & Tsong, Ching-Chuan, 2013. "Asymmetric behavior of unemployment rates: Evidence from the quantile covariate unit root test," Japan and the World Economy, Elsevier, vol. 28(C), pages 72-84.
    40. Matsuki, Takashi, 2019. "Per capita output convergence across Asian countries: Evidence from covariate unit root test with an endogenous structural break," Economic Modelling, Elsevier, vol. 82(C), pages 99-118.
    41. Chukiat Chaiboonsri & Prasert Chaitip & N. Rangaswamy, 2009. "Modelling International Tourism Demand in Thailand," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 9(3), pages 125-146.
    42. Kaddour Hadri & Eiji Kurozumi & Daisuke Yamazaki, 2015. "Synergy between an Improved Covariate Unit Root Test and Cross-sectionally Dependent Panel Data Unit Root Tests," Manchester School, University of Manchester, vol. 83(6), pages 676-700, December.
    43. Elliott, Graham & Jansson, Michael & Pesavento, Elena, 2004. "Optimal Power for Testing Potential Cointegrating Vectors with Known," University of California at San Diego, Economics Working Paper Series qt2bv7n071, Department of Economics, UC San Diego.
    44. Kazuki Hiraga, 2011. "New Methods for Testing the Sustainability of Government Debt," Keio/Kyoto Joint Global COE Discussion Paper Series 2011-020, Keio/Kyoto Joint Global COE Program.
    45. Rehim Kılıç, 2009. "Nonlinearity and Persistence in PPP: Does Controlling for Nonlinearity Solve the PPP Puzzle?," Review of International Economics, Wiley Blackwell, vol. 17(3), pages 570-587, August.
    46. Tsong Ching-Chuan, 2012. "Unit Root Testing with Stationary Covariates in the Framework of Asymmetric STAR Nonlinearity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(5), pages 1-27, December.
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    48. Nikolaj Malchow-Moeller & Bo Jellesmark Thorsen, "undated". "A Dynamic Agricultural Household Model with Uncertain Income and Irreversible and Indivisible Investments under Credit Constraints," Economics Working Papers 2000-7, Department of Economics and Business Economics, Aarhus University.
    49. Tsong Ching-Chuan & Lee Cheng-Feng & Tsai Li Ju, 2019. "A parametric stationarity test with smooth breaks," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 23(2), pages 1-14, April.
    50. Philip Kostov & John Lingard, 2004. "Regime-switching Vector Error Correction Model (VECM) analysis of UK meat consumption," Econometrics 0409007, University Library of Munich, Germany.
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Articles

  1. Cattaneo, Matias D. & Jansson, Michael & Ma, Xinwei, 2024. "Local regression distribution estimators," Journal of Econometrics, Elsevier, vol. 240(2).
    See citations under working paper version above.
  2. Cattaneo, Matias D. & Jansson, Michael, 2022. "Average Density Estimators: Efficiency And Bootstrap Consistency," Econometric Theory, Cambridge University Press, vol. 38(6), pages 1140-1174, December.
    See citations under working paper version above.
  3. Matias D. Cattaneo & Michael Jansson & Kenichi Nagasawa, 2020. "Bootstrap‐Based Inference for Cube Root Asymptotics," Econometrica, Econometric Society, vol. 88(5), pages 2203-2219, September.
    See citations under working paper version above.
  4. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2020. "Simple Local Polynomial Density Estimators," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1449-1455, July.
    See citations under working paper version above.
  5. Matias D Cattaneo & Michael Jansson & Xinwei Ma, 2019. "Two-Step Estimation and Inference with Possibly Many Included Covariates," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(3), pages 1095-1122.
    See citations under working paper version above.
  6. Cattaneo, Matias D. & Jansson, Michael & Newey, Whitney K., 2018. "Alternative Asymptotics And The Partially Linear Model With Many Regressors," Econometric Theory, Cambridge University Press, vol. 34(2), pages 277-301, April.
    See citations under working paper version above.
  7. Matias D. Cattaneo & Michael Jansson & Whitney K. Newey, 2018. "Inference in Linear Regression Models with Many Covariates and Heteroscedasticity," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1350-1361, July.
    See citations under working paper version above.
  8. Matias D. Cattaneo & Michael Jansson, 2018. "Kernel†Based Semiparametric Estimators: Small Bandwidth Asymptotics and Bootstrap Consistency," Econometrica, Econometric Society, vol. 86(3), pages 955-995, May.

    Cited by:

    1. Giuseppe Cavaliere & S'ilvia Gonc{c}alves & Morten {O}rregaard Nielsen & Edoardo Zanelli, 2022. "Bootstrap inference in the presence of bias," Papers 2208.02028, arXiv.org, revised Nov 2023.
    2. Kotlyarova, Yulia & Schafgans, Marcia M.A. & Zinde-Walsh, Victoria, 2021. "Rates of expansions for functional estimators," LSE Research Online Documents on Economics 113436, London School of Economics and Political Science, LSE Library.
    3. Wang, Yulong & Xiao, Zhijie, 2022. "Estimation and inference about tail features with tail censored data," Journal of Econometrics, Elsevier, vol. 230(2), pages 363-387.
    4. Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2019. "Two-Step Estimation and Inference with Possibly Many Included Covariates," University of California at San Diego, Economics Working Paper Series qt86c7x315, Department of Economics, UC San Diego.
    5. Yukitoshi Matsushita & Taisuke Otsu, 2019. "Jackknife, small bandwidth and high-dimensional asymptotics," STICERD - Econometrics Paper Series 605, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    6. Liu, Lin & Mukherjee, Rajarshi & Robins, James M., 2024. "Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators," Journal of Econometrics, Elsevier, vol. 240(2).
    7. Fernando Rios-Avila, 2019. "A Semi-Parametric Approach to the Oaxaca-Blinder Decomposition with Continuous Group Variable and Self-Selection," Economics Working Paper Archive wp_930, Levy Economics Institute.
    8. Amilcar Velez, 2024. "On the Asymptotic Properties of Debiased Machine Learning Estimators," Papers 2411.01864, arXiv.org.
    9. Aurélien Baillon & Owen O'Donnell & Stella Quimbo & Kim van Wilgenburg, 2022. "Do time preferences explain low health insurance take‐up?," Post-Print halshs-03908423, HAL.

  9. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Manipulation testing based on density discontinuity," Stata Journal, StataCorp LP, vol. 18(1), pages 234-261, March.

    Cited by:

    1. Brachert, Matthias & Dettmann, Eva & Titze, Mirko, 2019. "The regional effects of a place-based policy – Causal evidence from Germany," Regional Science and Urban Economics, Elsevier, vol. 79(C).
    2. Quentin Lippmann, 2023. "Persistence of incumbents and female access to political positions," Post-Print hal-04103626, HAL.
    3. Persson, Petra & Qiu, Xinyao & Rossin-Slater, Maya, 2021. "Family Spillover Effects of Marginal Diagnoses: The Case of ADHD," IZA Discussion Papers 14020, Institute of Labor Economics (IZA).
    4. Laurent Bach & Arthur Guillouzouic & Clément Malgouyres, 2021. "Does Holding Elections during a Covid-19 Pandemic Put the Lives of Politicians at Risk?," PSE Working Papers halshs-02895359, HAL.
    5. Peter Eibich & Thomas Siedler, 2020. "Retirement, Intergenerational Time Transfers, and Fertility," SOEPpapers on Multidisciplinary Panel Data Research 1073, DIW Berlin, The German Socio-Economic Panel (SOEP).
    6. , Jafar & Singh, Tejendra Pratap, 2023. "Peace of Mind: Examining Election-Induced Anxiety among Minorities in India," OSF Preprints hpu5y, Center for Open Science.
    7. Luca Villamaina & Paolo Acciari, 2023. "Taxation and labour supply decisions: an evaluation of the earned income tax credit in Italy," Working Papers wp2023-20, Ministry of Economy and Finance, Department of Finance.
    8. Camarero Garcia, Sebastian & Hansch, Michelle, 2020. "The effect of unemployment insurance benefits on (self-)employment: Two sides of the same coin?," ZEW Discussion Papers 20-062, ZEW - Leibniz Centre for European Economic Research.
    9. Luis R. Martinez & Jonas Jessen & Guo Xu, 2022. "A Glimpse of Freedom: Allied Occupation and Political Resistance in East Germany," SOEPpapers on Multidisciplinary Panel Data Research 1176, DIW Berlin, The German Socio-Economic Panel (SOEP).
    10. Britto, Diogo & Melo, Caique & Sampaio, Breno, 2022. "The Kids Aren't Alright: Parental Job Loss and Children's Outcomes Within and Beyond Schools," CEPR Discussion Papers 17562, C.E.P.R. Discussion Papers.
    11. Cantoni, Enrico & Gazzè, Ludovica & Schafer, Jerome, 2021. "Turnout in concurrent elections: Evidence from two quasi-experiments in Italy," European Journal of Political Economy, Elsevier, vol. 70(C).
    12. Brüll, Eduard & Rostam-Afschar, Davud & Schlenker, Oliver, 2024. "Cut Off from New Competition: Threat of Entry and Quality of Primary Care," IZA Discussion Papers 17504, Institute of Labor Economics (IZA).
    13. Burlando, Alfredo & Kuhn, Michael A. & Prina, Silvia, 2023. "Too Fast, Too Furious? Digital Credit Delivery Speed and Repayment Rates," IZA Discussion Papers 16451, Institute of Labor Economics (IZA).
    14. Christopher Neilson & Dejan Kovac, 2020. "O Brother, Where Start Thou? Sibling Spillovers on College and Major Choice in Four Countries," Working Papers 641, Princeton University, Department of Economics, Industrial Relations Section..
    15. Zhuang Hao & Huihui Cheng & Till Bärnighausen & Simiao Chen, 2024. "The effects of parental retirement on adult children's health: Evidence from China," Health Economics, John Wiley & Sons, Ltd., vol. 33(1), pages 12-20, January.
    16. David M. Brasington, 2024. "Population growth in growing and declining cities: the role of balanced-budget increases in local government spending," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 73(3), pages 873-895, October.
    17. El-Enbaby, Hoda & Hollingsworth, Bruce & Maystadt, Jean-François & Singhal, Saurabh, 2024. "Cash transfers and mental health in Egypt," Economics & Human Biology, Elsevier, vol. 54(C).
    18. Leopoldo Fergusson & Arturo Harker & Carlos Molina & Juan Camilo Yamín, 2023. "Political incentives and corruption evidence from ghost students," Documentos CEDE 20732, Universidad de los Andes, Facultad de Economía, CEDE.
    19. Toledo, Katia & Alvarado, Alfredo, 2023. "Tackling BEPS in the Global South: Evidence from Peru’s tax reform," Economic Systems, Elsevier, vol. 47(3).
    20. Bonilla, Sade, 2020. "The dropout effects of career pathways: Evidence from California," Economics of Education Review, Elsevier, vol. 75(C).
    21. Vanessa Cirulli & Giuliano Resce & Marco Ventura, 2024. "Co-payment exemption and healthcare consumption: quasi-experimental evidence from Italy," Empirical Economics, Springer, vol. 67(1), pages 355-380, July.
    22. Hector Galindo Silva, 2018. "Political Openness and Armed Conflict: Evidence from Local Councils in Colombia," Documentos de Economía 16720, Universidad Javeriana - Bogotá.
    23. Rooth, Dan-Olof & Stenberg, Anders, 2023. "Intergenerational and Sibling Spillovers in High School Majors," Working Paper Series 1/2023, Stockholm University, Swedish Institute for Social Research.
    24. Quinckhardt, Matthias, 2023. "The value of a party: Local politics and the allocation of intergovernmental transfers," European Journal of Political Economy, Elsevier, vol. 80(C).
    25. Rosa Sanchis-Guarner & José Montalbán & Felix Weinhardt, 2021. "Home Broadband and Human Capital Formation," CESifo Working Paper Series 8846, CESifo.
    26. Matteo Picchio & Raffaella Santolini, 2019. "Fiscal rules and budget forecast errors of Italian Municipalities," Working Papers 438, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    27. Suziedelyte, Agne & Zhu, Anna, 2021. "The intergenerational impact of reduced generosity in the social safety net," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 1-24.
    28. Barbara Broadway & Anna Zhu, 2023. "Spatial heterogeneity in welfare reform success," Melbourne Institute Working Paper Series wp2023n13, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    29. Huebener, Mathias & Kuehnle, Daniel & Spiess, C. Katharina, 2019. "Parental leave policies and socio-economic gaps in child development: Evidence from a substantial benefit reform using administrative data," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 61.
    30. Bovay, John, 2021. "Moral hazard under discrete information disclosure: Evidence from food-safety inspections," 2021 Allied Social Sciences Association (ASSA) Annual Meeting (Virtual), January 3-5, 2021, San Diego, California 307948, Agricultural and Applied Economics Association.
    31. Chauvin, Juan Pablo & Tricaud, Clemence, 2023. "Gender and Electoral Incentives: Evidence from Crisis Response," CEPR Discussion Papers 17904, C.E.P.R. Discussion Papers.
    32. Matteo Picchio & Mattia Filomena, 2021. "Retirement And Health Outcomes In A Metaanalytical Framework," Working Papers 458, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    33. Aaron Albert & Nathan Wozny, 2024. "The Impact of Academic Probation: Do Intensive Interventions Help?," Journal of Human Resources, University of Wisconsin Press, vol. 59(3), pages 852-878.
    34. Bonnet, Paolo & Olper, Alessandro, 2024. "Party affiliation, economic interests and U.S. governors’ renewable energy policies," Energy Economics, Elsevier, vol. 130(C).
    35. van Ours, Jan C. & Picchio, Matteo, 2019. "The Mental Health Effects of Retirement," CEPR Discussion Papers 14135, C.E.P.R. Discussion Papers.
    36. Degrave, Anne & Lopez-Peceno, Alejandro & Rozenas, Arturas, 2024. "Peasants into Citizens: Suffrage Expansion and Mass Politics in France," TSE Working Papers 24-1529, Toulouse School of Economics (TSE).
    37. Hansoo Ko & Renata E. Howland & Sherry A. Glied, 2020. "The Effects of Income on Children’s Health: Evidence from Supplemental Security Income Eligibility under New York State Medicaid," NBER Working Papers 26639, National Bureau of Economic Research, Inc.
    38. Le, Trinh Hue & Oliver, Barry & Tan, Kelvin Jui Keng, 2022. "Nowhere to hide: Response of corporate restructuring activities to mandatory segment disclosure," Journal of Corporate Finance, Elsevier, vol. 76(C).
    39. Kabir Dasgupta & Christopher Erwin & Alexander Plum, 2020. "The Devil is in the Details: Identifying the Unbiased Link between Access to Alcohol and Criminal Behavior," Working Papers 2020-12, Auckland University of Technology, Department of Economics.
    40. Gurmu, Shiferaw & Sjoquist, David L. & Wheeler, Laura, 2021. "The effectiveness of job creation tax credits," Regional Science and Urban Economics, Elsevier, vol. 90(C).
    41. Giesecke, Matthias & Jaeger, Philipp, 2021. "Pension Incentives and Labor Supply: Evidence from the Introduction of Universal Old-Age Assistance in the UK," IZA Discussion Papers 14469, Institute of Labor Economics (IZA).
    42. Hortala-Vallve, Rafael & Meriläinen, Jaakko & Tukiainen, Janne, 2024. "Pre-electoral coalitions and the distribution of political power," LSE Research Online Documents on Economics 121600, London School of Economics and Political Science, LSE Library.
    43. Spaziani, Sara, 2022. "Can gender quotas break the glass ceiling? Evidence from Italian municipal elections," European Journal of Political Economy, Elsevier, vol. 75(C).
    44. Chen, Yu & Shi, Shaobin & Tang, Yugang, 2019. "Valuing the urban hukou in China: Evidence from a regression discontinuity design for housing prices," Journal of Development Economics, Elsevier, vol. 141(C).
    45. Di Giacomo, M. & Piacenza, M. & Siciliani, L. & Turati, G., 2020. "The Effect of Co-Payments on the Take-Up of Prenatal Tests," Health, Econometrics and Data Group (HEDG) Working Papers 20/19, HEDG, c/o Department of Economics, University of York.
    46. Jose Valderrama & Javier Olivera, 2023. "The effects of social pensions on mortality among the extreme poor elderly," LISER Working Paper Series 2023-05, Luxembourg Institute of Socio-Economic Research (LISER).
    47. Niklas Potrafke & Felix Rösel, 2019. "The Urban-Rural Gap in Health Care Infrastructure – Does Government Ideology Matter?," ifo Working Paper Series 300, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    48. Aysun Hiziroglu Aygun & Murat Guray Kirdar & Murat Koyuncu & Quentin Stoeffler, 2021. "Keeping refugee children in school and out of work: Evidence from the world’s largest humanitarian cash transfer program," Koç University-TUSIAD Economic Research Forum Working Papers 2106, Koc University-TUSIAD Economic Research Forum.
    49. Britto, Diogo & Rocha, Roberto Hsu & Pinotti, Paolo & Sampaio, Breno, 2024. "Small Children, Big Problems: Childbirth and Crime," IZA Discussion Papers 16910, Institute of Labor Economics (IZA).
    50. Pengju Zhang & Phuong Nguyen‐Hoang & Na Chen, 2022. "The impact of home rule on municipal boundary and fiscal expansion: Evidence from Texas," Journal of Regional Science, Wiley Blackwell, vol. 62(5), pages 1442-1466, November.
    51. Andrés Barrios Fernández, 2019. "Should I stay or should I go? Neighbors' effects on university enrollment," CEP Discussion Papers dp1653, Centre for Economic Performance, LSE.
    52. Akgündüz, Yusuf Emre & Akyol, Pelin & Aydemir, Abdurrahman B. & Demirci, Murat & Kirdar, Murat Güray, 2023. "Maternal Education and Early Child Development: The Roles of Parental Support for Learning, Learning Materials, and Father Characteristics," IZA Discussion Papers 16328, Institute of Labor Economics (IZA).
    53. Leung, Pauline, 2022. "State responses to federal matching grants: The case of medicaid," Journal of Public Economics, Elsevier, vol. 216(C).
    54. Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2021. "Local regression distribution estimators," Department of Economics, Working Paper Series qt7416d3x8, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    55. Frio, Gustavo Saraiva & França, Marco Tulio Aniceto, 2021. "Human papillomavirus vaccine and risky sexual behavior: Regression discontinuity design evidence from Brazil," Economics & Human Biology, Elsevier, vol. 40(C).
    56. Hermle, Johannes & Herold, Elena & Hildebrand, Nikolaus, 2024. "Preferences over Relative Income within the Household," IZA Discussion Papers 16803, Institute of Labor Economics (IZA).
    57. Benoît SCHMUTZ & Grégory VERDUGO, 2020. "Do Politicians Shape the Electorate ? Evidence from French Municipalities," Working Papers 2020-18, Center for Research in Economics and Statistics, revised 01 Apr 2021.
    58. Mellace, Giovanni & Ventura, Marco, 2019. "Intended and unintended effects of public incentives for innovation. Quasi-experimental evidence from Italy," Discussion Papers on Economics 9/2019, University of Southern Denmark, Department of Economics.
    59. David M. Brasington & Marios Zachariadis, 2021. "Government spending and economic activity: Regression discontinuity evidence from voting on renewals of tax levies," University of Cyprus Working Papers in Economics 06-2021, University of Cyprus Department of Economics, revised 06 Dec 2020.
    60. Ghirelli, Corinna & Havari, Enkelejda & Meroni, Elena Claudia & Verzillo, Stefano, 2023. "The Long-Term Causal Effects of Winning an ERC Grant," IZA Discussion Papers 16108, Institute of Labor Economics (IZA).
    61. Gonzalez, Robert & Maffioli, Elisa M., 2024. "Is the phone mightier than the virus? Cellphone access and epidemic containment efforts," Journal of Development Economics, Elsevier, vol. 167(C).
    62. Bhalotra, Sonia R. & Britto, Diogo & Pinotti, Paolo & Sampaio, Breno, 2021. "Job Displacement, Unemployment Benefits and Domestic Violence," IZA Discussion Papers 14543, Institute of Labor Economics (IZA).
    63. Victor Hernandez Martinez & Kaixin Liu, 2022. "The Value of Unemployment Insurance: Liquidity vs. Insurance Value," Working Papers 22-16, Federal Reserve Bank of Cleveland.
    64. Alessio Gaggero & Joan Gil & Dolores Jiménez-Rubio & Eugenio Zucchelli, 2021. "Health information and lifestyle behaviours: the impact of a diabetes diagnosis," UB School of Economics Working Papers 2021/406, University of Barcelona School of Economics.
    65. Mohamed Ebeid & Umut Oguzoglu, 2023. "Short‐term effect of retirement on health: Evidence from nonparametric fuzzy regression discontinuity design," Health Economics, John Wiley & Sons, Ltd., vol. 32(6), pages 1323-1343, June.
    66. Hai-Anh H. Dang & Trong-Anh Trinh, 2022. "The Beneficial Impacts of COVID-19 Lockdowns on Air Pollution: Evidence from Vietnam," Journal of Development Studies, Taylor & Francis Journals, vol. 58(10), pages 1917-1933, October.
    67. David M. Brasington & Marios Zachariadis, 2022. "Fiscal policy and economic activity: New Causal Evidence," University of Cyprus Working Papers in Economics 09-2022, University of Cyprus Department of Economics.
    68. Gabriele Mari, 2024. "Less for more? Cuts to child benefits, family adjustments, and long-run child outcomes in larger families," Journal of Population Economics, Springer;European Society for Population Economics, vol. 37(2), pages 1-27, June.
    69. Huebener, Mathias & Jessen, Jonas & Kühnle, Daniel & Oberfichtner, Michael, 2021. "A Firm-Side Perspective on Parental Leave," IZA Discussion Papers 14478, Institute of Labor Economics (IZA).
    70. Mahecha Ramírez, Hammer Yesid, 2024. "Los límites de gasto en funcionamiento (ley 617), ¿desincentivan el comportamiento de endeudamiento municipal?," Documentos CEDE 21200, Universidad de los Andes, Facultad de Economía, CEDE.
    71. Polugodina, Maria & Grigoriadis, Theocharis N., 2024. "East Prussia 2.0: Persistent regions, rising nations," European Economic Review, Elsevier, vol. 167(C).
    72. Gaggero, Alessio & Gil, Joan & Jiménez-Rubio, Dolores & Zucchelli, Eugenio, 2022. "Does health information affect lifestyle behaviours? The impact of a diabetes diagnosis," Social Science & Medicine, Elsevier, vol. 314(C).
    73. Diana Bonfim & Cláudia Custódio & Clara Raposo, 2022. "Supporting small firms through recessions and recoveries," GEE Papers 0170, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Sep 2022.
    74. Viladecans-Marsal, Elisabet & Magontier, Pierre & Solé-Ollé, Albert, 2021. "The political economy of coastal development," CEPR Discussion Papers 15780, C.E.P.R. Discussion Papers.
    75. Sunil Mithas & Yanzhen Chen & Yatang Lin & Alysson De Oliveira Silveira, 2022. "On the causality and plausibility of treatment effects in operations management research," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4558-4571, December.
    76. Matias D. Cattaneo & Rocío Titiunik & Gonzalo Vazquez-Bare, 2020. "Analysis of regression-discontinuity designs with multiple cutoffs or multiple scores," Stata Journal, StataCorp LP, vol. 20(4), pages 866-891, December.
    77. Christopher Erwin, 2019. "Low-performing student responses to state merit scholarships," Working Papers 2019-02, Auckland University of Technology, Department of Economics.
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    79. Hongsheng Fang & Yunqing Su & Weijun Lu, 2022. "Tax incentive and firm investment: Evidence from the Income Tax Revenue Sharing Reform in China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(5), pages 4849-4884, December.
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    81. Muñoz, Pablo & Prem, Mounu, 2021. "Managers' Productivity and Recruitment in the Public Sector: The Case of School Principals," SocArXiv 7zn2b, Center for Open Science.
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  10. Boswijk, H. Peter & Jansson, Michael & Nielsen, Morten Ørregaard, 2015. "Improved likelihood ratio tests for cointegration rank in the VAR model," Journal of Econometrics, Elsevier, vol. 184(1), pages 97-110.
    See citations under working paper version above.
  11. Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael, 2014. "Small Bandwidth Asymptotics For Density-Weighted Average Derivatives," Econometric Theory, Cambridge University Press, vol. 30(1), pages 176-200, February.
    See citations under working paper version above.
  12. Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael, 2014. "Bootstrapping Density-Weighted Average Derivatives," Econometric Theory, Cambridge University Press, vol. 30(6), pages 1135-1164, December.
    See citations under working paper version above.
  13. Matias D. Cattaneo & Richard K. Crump & Michael Jansson, 2013. "Generalized Jackknife Estimators of Weighted Average Derivatives," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(504), pages 1243-1256, December.
    See citations under working paper version above.
  14. Michael Jansson & Morten Ørregaard Nielsen, 2012. "Nearly Efficient Likelihood Ratio Tests of the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 80(5), pages 2321-2332, September.
    See citations under working paper version above.
  15. 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.
    See citations under working paper version above.
  16. Jansson Michael & Nielsen Morten Ørregaard, 2011. "Nearly Efficient Likelihood Ratio Tests for Seasonal Unit Roots," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-21, February.
    See citations under working paper version above.
  17. Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael, 2010. "Robust Data-Driven Inference for Density-Weighted Average Derivatives," Journal of the American Statistical Association, American Statistical Association, vol. 105(491), pages 1070-1083.
    See citations under working paper version above.
  18. Chernozhukov, Victor & Hansen, Christian & Jansson, Michael, 2009. "Admissible Invariant Similar Tests For Instrumental Variables Regression," Econometric Theory, Cambridge University Press, vol. 25(3), pages 806-818, June.

    Cited by:

    1. Tetsuya Kaji, 2019. "Theory of Weak Identification in Semiparametric Models," Papers 1908.10478, arXiv.org, revised Aug 2020.
    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. Barnichon, Regis & Mesters, Geert, 2019. "Identifying Modern Macro Equations with Old Shocks," CEPR Discussion Papers 13765, C.E.P.R. Discussion Papers.
    4. Donald W. K. Andrews & Patrik Guggenberger, 2015. "Identification- and Singularity-Robust Inference for Moment Condition," Cowles Foundation Discussion Papers 1978R2, Cowles Foundation for Research in Economics, Yale University, revised Jan 2019.
    5. 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.
    6. Bertille Antoine & Pascal Lavergne, 2020. "Identification-Robust Nonparametric Interference in a Linear IV Model," Discussion Papers dp20-03, Department of Economics, Simon Fraser University.
    7. Kleibergen, Frank, 2021. "Efficient size correct subset inference in homoskedastic linear instrumental variables regression," Journal of Econometrics, Elsevier, vol. 221(1), pages 78-96.
    8. 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.
    9. Dong Jin Lee, 2020. "Optimal tests for parameter breaking process in conditional quantile models," The Japanese Economic Review, Springer, vol. 71(3), pages 479-510, July.
    10. 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).
    11. Giuseppe Cavaliere & Zeng-Hua Lu & Anders Rahbek & Yuhong Yang, 2021. "MinP Score Tests with an Inequality Constrained Parameter Space," Papers 2107.06089, arXiv.org.
    12. Aragón, Edilean Kleber da Silva Bejarano & Galvão, Ana Beatriz, 2023. "Shock-based inference on the Phillips curve with the cost channel," Economic Modelling, Elsevier, vol. 126(C).

  19. Chioda, Laura & Jansson, Michael, 2009. "Optimal Invariant Inference When The Number Of Instruments Is Large," Econometric Theory, Cambridge University Press, vol. 25(3), pages 793-805, June.

    Cited by:

    1. Bekker, Paul A. & Crudu, Federico, 2015. "Jackknife instrumental variable estimation with heteroskedasticity," Journal of Econometrics, Elsevier, vol. 185(2), pages 332-342.
    2. Michal Kolesár, 2013. "Estimation in an Instrumental Variables Model With Treatment Effect Heterogeneity," Working Papers 2013-2, Princeton University. Economics Department..
    3. Kolesár, Michal, 2018. "Minimum distance approach to inference with many instruments," Journal of Econometrics, Elsevier, vol. 204(1), pages 86-100.
    4. Matsushita, Yukitoshi & Otsu, Taisuke, 2023. "Second-order refinements for t-ratios with many instruments," Journal of Econometrics, Elsevier, vol. 232(2), pages 346-366.
    5. Michal Kolesár & Raj Chetty & John N. Friedman & Edward L. Glaeser & Guido W. Imbens, 2011. "Identification and Inference with Many Invalid Instruments," NBER Working Papers 17519, National Bureau of Economic Research, Inc.
    6. 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.
    7. Sølvsten, Mikkel, 2020. "Robust estimation with many instruments," Journal of Econometrics, Elsevier, vol. 214(2), pages 495-512.
    8. Yukitoshi Matsushita & Taisuke Otsu, 2020. "Second-order refinements for t-ratios with many instruments," STICERD - Econometrics Paper Series 612, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    9. 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.
    10. Marcelo Moreira, 2008. "A Maximum Likelihood Method for the Incidental Parameter Problem," NBER Working Papers 13787, National Bureau of Economic Research, Inc.
    11. Matsushita, Yukitoshi & Otsu, Taisuke, 2023. "Second-order refinements for t-ratios with many instruments," LSE Research Online Documents on Economics 111065, London School of Economics and Political Science, LSE Library.

  20. Chernozhukov, Victor & Hansen, Christian & Jansson, Michael, 2009. "Finite sample inference for quantile regression models," Journal of Econometrics, Elsevier, vol. 152(2), pages 93-103, October.

    Cited by:

    1. Javier Alejo & Antonio F Galvao & Gabriel Montes-Rojas, 2023. "A first-stage representation for instrumental variables quantile regression," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 350-377.
    2. Kaplan, David M. & Sun, Yixiao, 2012. "Smoothed Estimating Equations For Instrumental Variables Quantile Regression," University of California at San Diego, Economics Working Paper Series qt888657tp, Department of Economics, UC San Diego.
    3. Laffers, Lukas, 2013. "Identification in Models with Discrete Variables," Discussion Paper Series in Economics 1/2013, Norwegian School of Economics, Department of Economics.
    4. Fan, Yanqin & Liu, Ruixuan, 2016. "A direct approach to inference in nonparametric and semiparametric quantile models," Journal of Econometrics, Elsevier, vol. 191(1), pages 196-216.
    5. David M. Kaplan, 2013. "IDEAL Inference on Conditional Quantiles via Interpolated Duals of Exact Analytic L-statistics," Working Papers 1316, Department of Economics, University of Missouri.
    6. Chung, Ray S.W. & So, Mike K.P. & Chu, Amanda M.Y. & Chan, Thomas W.C., 2020. "Regularization of Bayesian quasi-likelihoods constructed from complex estimating functions," Computational Statistics & Data Analysis, Elsevier, vol. 150(C).
    7. Christis Katsouris, 2023. "Quantile Time Series Regression Models Revisited," Papers 2308.06617, arXiv.org, revised Aug 2023.
    8. Jun, Sung Jae, 2008. "Weak identification robust tests in an instrumental quantile model," Journal of Econometrics, Elsevier, vol. 144(1), pages 118-138, May.
    9. Luger, Richard, 2012. "Finite-sample bootstrap inference in GARCH models with heavy-tailed innovations," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3198-3211.
    10. David M. Kaplan & Matt Goldman, 2013. "IDEAL Quantile Inference via Interpolated Duals of Exact Analytic L-statistics," Working Papers 1315, Department of Economics, University of Missouri.
    11. David M. Kaplan & Matt Goldman, 2015. "Nonparametric inference on conditional quantile differences and linear combinations, using L-statistics," Working Papers 1503, Department of Economics, University of Missouri.
    12. 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.
    13. Victor Chernozhukov & Christian Hansen, 2013. "Quantile models with endogeneity," CeMMAP working papers CWP25/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Biying Yu & Junyi Zhang & Akimasa Fujiwara, 2016. "Who rebounds in the private transport sector? A comparative analysis between Beijing and Tokyo," Environment and Planning B, , vol. 43(3), pages 561-579, May.
    15. Olivier Gossner & Karl H. Schlag, 2013. "Finite-sample exact tests for linear regressions with bounded dependent variables," Post-Print halshs-00879792, HAL.
    16. Victor Chernozhukov & Christian Hansen & Kaspar Wuthrich, 2020. "Instrumental Variable Quantile Regression," Papers 2009.00436, arXiv.org.
    17. Zhongjun Qu & Jungmo Yoon, 2011. "Nonparametric Estimation and Inference on Conditional Quantile Processes," Boston University - Department of Economics - Working Papers Series WP2011-059, Boston University - Department of Economics.
    18. Adam Rosen & Takuya Ura, 2020. "Finite Sample Inference for the Maximum Score Estimand," CeMMAP working papers CWP22/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. 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.
    20. de Castro, Luciano & Galvao, Antonio F. & Kaplan, David M. & Liu, Xin, 2019. "Smoothed GMM for quantile models," Journal of Econometrics, Elsevier, vol. 213(1), pages 121-144.
    21. Su Liangjun & Tadao Hoshino, 2015. "Sieve Instrumental Variable Quantile Regression Estimation of Functional Coefficient Models," Working Papers 01-2015, Singapore Management University, School of Economics.
    22. David M. Kaplan, 2020. "sivqr: Smoothed IV quantile regression," Working Papers 2009, Department of Economics, University of Missouri.
    23. David M. Kaplan, 2023. "Smoothed instrumental variables quantile regression," Papers 2310.09013, arXiv.org.
    24. Wüthrich, Kaspar, 2019. "A closed-form estimator for quantile treatment effects with endogeneity," Journal of Econometrics, Elsevier, vol. 210(2), pages 219-235.
    25. Kaspar W thrich, 2014. "A Comparison of two Quantile Models with Endogeneity," Diskussionsschriften dp1408, Universitaet Bern, Departement Volkswirtschaft.
    26. Otsu, Taisuke, 2008. "Conditional empirical likelihood estimation and inference for quantile regression models," Journal of Econometrics, Elsevier, vol. 142(1), pages 508-538, January.
    27. Hiroaki Kaido & Kaspar Wüthrich, 2018. "Decentralization estimators for instrumental variable quantile regression models," CeMMAP working papers CWP72/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    28. Zhongjun Qu & Jungmo Yoon, 2015. "Uniform Inference on Quantile Effects under Sharp Regression Discontinuity Designs," Boston University - Department of Economics - Working Papers Series wp2015-009, Boston University - Department of Economics.
    29. Purevdorj Tuvaandorj, 2021. "Robust Permutation Tests in Linear Instrumental Variables Regression," Papers 2111.13774, arXiv.org, revised Jul 2024.
    30. Joel L. Horowitz, 2017. "Non-asymptotic inference in instrumental variables estimation," CeMMAP working papers 46/17, Institute for Fiscal Studies.
    31. Joel L. Horowitz, 2018. "Non-Asymptotic Inference in Instrumental Variables Estimation," Papers 1809.03600, arXiv.org.
    32. 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.
    33. Kaspar W thrich, 2015. "Semiparametric estimation of quantile treatment effects with endogeneity," Diskussionsschriften dp1509, Universitaet Bern, Departement Volkswirtschaft.
    34. Marina Dias & Demian Pouzo, 2021. "Inference for multi-valued heterogeneous treatment effects when the number of treated units is small," Papers 2105.10965, arXiv.org.
    35. 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.
    36. Isaiah Andrews & Anna Mikusheva, 2022. "Optimal Decision Rules for Weak GMM," Econometrica, Econometric Society, vol. 90(2), pages 715-748, March.

  21. Michael Jansson, 2008. "Semiparametric Power Envelopes for Tests of the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 76(5), pages 1103-1142, September.
    See citations under working paper version above.
  22. Chernozhukov, Victor & Hansen, Christian & Jansson, Michael, 2007. "Inference approaches for instrumental variable quantile regression," Economics Letters, Elsevier, vol. 95(2), pages 272-277, May.

    Cited by:

    1. Andini, Corrado, 2017. "Tertiary Education for All and Wage Inequality: Policy Insights from Quantile Regression," IZA Policy Papers 132, Institute of Labor Economics (IZA).
    2. Javier Alejo & Antonio F Galvao & Gabriel Montes-Rojas, 2023. "A first-stage representation for instrumental variables quantile regression," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 350-377.
    3. Le-Yu Chen & Sokbae (Simon) Lee, 2017. "Exact computation of GMM estimators for instrumental variable quantile regression models," CeMMAP working papers CWP52/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2016. "A quantile correlated random coefficients panel data model," CeMMAP working papers 34/16, Institute for Fiscal Studies.
    5. WenShwo Fang & Stephen M. Miller & Chih-Chuan Yeh, 2009. "Does a Threshold Inflation Rate Exist? Quantile Inferences for Inflation and Its Variability," Working Papers 0921, University of Nevada, Las Vegas , Department of Economics, revised Dec 2009.
    6. Domenico Depalo & Raffaella Giordano, 2011. "The public-private pay gap: a robust quantile approach," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 70(1), pages 25-64, January.
    7. Jean-Jacques Forneron, 2019. "Detecting Identification Failure in Moment Condition Models," Papers 1907.13093, arXiv.org, revised Oct 2023.
    8. Santiago Budría, 2011. "Are Educational Mismatches Responsible for the ‘Inequality Increasing Effect’ of Education?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 102(3), pages 409-437, July.
    9. Marilena Furno, 2020. "Returns to Education and Gender Wage Gap Across Quantiles in Italy," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 12(2), pages 145-169, June.
    10. Le-Yu Chen & Yu-Min Yen, 2021. "Estimations of the Local Conditional Tail Average Treatment Effect," Papers 2109.08793, arXiv.org, revised May 2024.
    11. Arabsheibani, Reza & Staneva, Anita, 2012. "Returns to Education in Russia: Where There Is Risky Sexual Behaviour There Is Also an Instrument," IZA Discussion Papers 6726, Institute of Labor Economics (IZA).
    12. Wehby George L. & McCarthy Ann Marie & Castilla Eduardo & Murray Jeffrey C., 2011. "The Impact of Household Investments on Early Child Neurodevelopment and on Racial and Socioeconomic Developmental Gaps: Evidence from South America," Forum for Health Economics & Policy, De Gruyter, vol. 14(1), pages 1-60, December.
    13. Wüthrich, Kaspar, 2019. "A closed-form estimator for quantile treatment effects with endogeneity," Journal of Econometrics, Elsevier, vol. 210(2), pages 219-235.
    14. Wehby, George L. & Murray, Jeffrey C. & Wilcox, Allen & Lie, Rolv T., 2012. "Smoking and body weight: Evidence using genetic instruments," Economics & Human Biology, Elsevier, vol. 10(2), pages 113-126.
    15. Kaspar W thrich, 2014. "A Comparison of two Quantile Models with Endogeneity," Diskussionsschriften dp1408, Universitaet Bern, Departement Volkswirtschaft.
    16. Wang, Le, 2011. "How Does Education Affect the Earnings Distribution in Urban China?," IZA Discussion Papers 6173, Institute of Labor Economics (IZA).
    17. George L. Wehby & Jeffrey C. Murray & Eduardo E. Castilla & Jorge S. Lopez‐Camelo & Robert L. Ohsfeldt, 2009. "Quantile effects of prenatal care utilization on birth weight in Argentina," Health Economics, John Wiley & Sons, Ltd., vol. 18(11), pages 1307-1321, November.
    18. Morra, Wayne & Hearn, Gail & Buck, Andrew J., 2009. "The market for bushmeat: Colobus Satanas on Bioko Island," Ecological Economics, Elsevier, vol. 68(10), pages 2619-2626, August.
    19. Andini, Corrado & Andini, Monica, 2015. "A Note on Unemployment Persistence and Quantile Parameter Heterogeneity," IZA Discussion Papers 8819, Institute of Labor Economics (IZA).
    20. Luis Gamboa & Mauricio Rodríguez & Andrés García, 2013. "Differences in motivations and academic achievement," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 78, pages 9-44.
    21. Oliver Himmler, 2009. "The Effects of School Competition on Academic Achievement and Grading Standards," CESifo Working Paper Series 2676, CESifo.
    22. Kaspar W thrich, 2015. "Semiparametric estimation of quantile treatment effects with endogeneity," Diskussionsschriften dp1509, Universitaet Bern, Departement Volkswirtschaft.

  23. 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.
  24. Graham Elliott & Michael Jansson & Elena Pesavento, 2005. "Optimal Power for Testing Potential Cointegrating Vectors With Known Parameters for Nonstationarity," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 34-48, January.

    Cited by:

    1. Elliott, Graham & Jansson, Michael, 2000. "Testing for Unit Roots with Stationary Covariances," Department of Economics, Working Paper Series qt47k7z69n, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    2. Rossi, Barbara & Pesavento, Elena, 2003. "Small Sample Confidence Intervals for Multivariate Impulse Response Functions at Long Horizons," Working Papers 03-19, Duke University, Department of Economics.
    3. Sohail Amjed & Iqtidar Ali Shah & Adnan Riaz, 2022. "Investigating the Interactive Role of Demand Side Factors Potentially Responsible for Energy Crisis in Pakistan," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 236-246, May.
    4. Pierre Perron & Gabriel Rodríguez, "undated". "Residuals-based Tests for Cointegration with GLS Detrended Data," Boston University - Department of Economics - Working Papers Series wp2015-017, Boston University - Department of Economics, revised 19 Oct 2015.
    5. Elena Pesavento, 2006. "Near-Optimal Unit Root Tests with Stationary Covariates with Better Finite Sample Size," Economics Working Papers ECO2006/18, European University Institute.
    6. Adeel Saleem & Ghulam Sarwar & Jahanzaib Sultan & Zulfiqar Ali, 2022. "Determinants of Public Healthcare Investment: Cointegration and Causality Evidence from Pakistan," Journal of Economic Impact, Science Impact Publishers, vol. 4(2), pages 01-13.
    7. Ahmed, Khalid, 2017. "Revisiting the role of financial development for energy-growth-trade nexus in BRICS economies," Energy, Elsevier, vol. 128(C), pages 487-495.
    8. Gabriel Rodriguez & Pierre Perron, 2013. "Single-equation tests for Cointegration with GLS Detrended Data," Boston University - Department of Economics - Working Papers Series 2013-016, Boston University - Department of Economics.
    9. Chandran Govindaraju, V.G.R. & Tang, Chor Foon, 2013. "The dynamic links between CO2 emissions, economic growth and coal consumption in China and India," Applied Energy, Elsevier, vol. 104(C), pages 310-318.
    10. Muhammad Ahad & Zaheer Anwer, 2021. "Asymmetric impact of oil price on trade balance in BRICS countries: Multiplier dynamic analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2177-2197, April.
    11. Elliott, Graham & Pesavento, Elena, 2006. "On the Failure of Purchasing Power Parity for Bilateral Exchange Rates after 1973," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(6), pages 1405-1430, September.
    12. Rossi, Barbara & Pesavento, Elena, 2003. "Do Technology Shocks Drive Hours Up or Down? A Little Evidence from an Agnostic Procedure," Working Papers 03-23, Duke University, Department of Economics.
    13. Bayer, C & Hanck, C.H., 2009. "Combining non-cointegration tests," Research Memorandum 012, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    14. Ladislava Grochova & Ludek Kouba, 2010. "Elite Political Instability and Economic Growth: An Empirical Evidence from the Baltic States," MENDELU Working Papers in Business and Economics 2010-01, Mendel University in Brno, Faculty of Business and Economics.
    15. Fossati, Sebastian, 2011. "Covariate Unit Root Tests with Good Size and Power," Working Papers 2011-4, University of Alberta, Department of Economics.
    16. Chor Foon Tang & Nai-Peng Tey, 2017. "Low fertility in Malaysia: Can it be explained?," Journal of Population Research, Springer, vol. 34(2), pages 101-118, June.
    17. Barbara Rossi & Elena Pesavento, 2004. "Do Technology Shocks Drive Hours Up or Down?," Econometric Society 2004 North American Summer Meetings 96, Econometric Society.
    18. Paolo Paruolo & Riccardo Girardi, 2010. "Wages and prices in Europe before and after the onset of the Monetary Union," Economics and Quantitative Methods qf1009, Department of Economics, University of Insubria.
    19. Ionuț Nica & Irina Georgescu & Jani Kinnunen, 2024. "Evaluating Renewable Energy’s Role in Mitigating CO 2 Emissions: A Case Study of Solar Power in Finland Using the ARDL Approach," Energies, MDPI, vol. 17(16), pages 1-29, August.
    20. Shahbaz, Muhammad & Farhani, Sahbi & Ozturk, Ilhan, 2013. "Coal Consumption, Industrial Production and CO2 Emissions in China and India," MPRA Paper 50618, University Library of Munich, Germany, revised 12 Oct 2013.
    21. Tursoy, Turgut & Faisal, Faisal & Berk, Niyazi & Shahbaz, Muhammad, 2018. "How do Stock Prices and Metal Prices Contribute to Economic Activity in Turkey? The Importance of Linear and Non-linear ARDL," MPRA Paper 88899, University Library of Munich, Germany.
    22. Lynda Atil & Hocine Fellag & Ana E. Sipols & M. T. Santos-Martín & Clara Simón Blas, 2024. "Non-linear Cointegration Test, Based on Record Counting Statistic," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2205-2230, October.
    23. Tang, Chor Foon & Tan, Eu Chye, 2013. "How stable is the tourism-led growth hypothesis in Malaysia? Evidence from disaggregated tourism markets," Tourism Management, Elsevier, vol. 37(C), pages 52-57.
    24. 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.
    25. Farhani, Sahbi & Solarin, Sakiru Adebola, 2017. "Financial development and energy demand in the United States: New evidence from combined cointegration and asymmetric causality tests," Energy, Elsevier, vol. 134(C), pages 1029-1037.

  25. Jansson, Michael, 2005. "Point optimal tests of the null hypothesis of cointegration," Journal of Econometrics, Elsevier, vol. 124(1), pages 187-201, January.

    Cited by:

    1. Kaddour Hadri & Eiji Kurozumi & Yao Rao, 2015. "Novel panel cointegration tests emending for cross‐section dependence with N fixed," Econometrics Journal, Royal Economic Society, vol. 18(3), pages 363-411, October.
    2. Dufour, Jean-Marie, 2008. "Exact optimal and adaptive inference in regression models under heteroskedasticity and non-normality of unknown forms," UC3M Working papers. Economics we086027, Universidad Carlos III de Madrid. Departamento de Economía.
    3. Carrion-i-Silvestre, Josep Lluís & Kim, Dukpa, 2021. "Statistical tests of a simple energy balance equation in a synthetic model of cotrending and cointegration," Journal of Econometrics, Elsevier, vol. 224(1), pages 22-38.
    4. Skrobotov, Anton, 2021. "Structural breaks in cointegration models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 117-141.
    5. Morten Oerregaard Nielsen, "undated". "Optimal Residual Based Tests for Fractional Cointegration and Exchange Rate Dynamics," Economics Working Papers 2002-7, Department of Economics and Business Economics, Aarhus University.
    6. Harvey, David I. & Leybourne, Stephen J. & Taylor, A.M. Robert, 2007. "A simple, robust and powerful test of the trend hypothesis," Journal of Econometrics, Elsevier, vol. 141(2), pages 1302-1330, December.
    7. Dufour, Jean-Marie & Taamouti, Abderrahim, 2010. "Exact optimal inference in regression models under heteroskedasticity and non-normality of unknown form," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2532-2553, November.
    8. Ahmet Faruk Aysan & Ibrahim Guney & Nicoleta Isac & Asad ul Islam Khan, 2022. "The probabilities of type I and II error of null of cointegration tests: A Monte Carlo comparison," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-15, January.
    9. 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.
    10. Nicoleta ISAC & Cosmin DOBRIN & Mehmood HUSSAN & Asad ul Islam KHAN & Alina- Andreea MARIN, 2020. "On The Ranks Of Tests Having Null Of Cointegration: A Monte Carlo Comparison," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 12(2), pages 58-69, June.

  26. Jansson, Michael, 2004. "Stationarity Testing With Covariates," Econometric Theory, Cambridge University Press, vol. 20(1), pages 56-94, February.

    Cited by:

    1. Jomana Amara, 2011. "Testing for stationarity using covariates: an application to purchasing power parity," Applied Economics Letters, Taylor & Francis Journals, vol. 18(13), pages 1295-1301.
    2. Cláudia Duarte, 2015. "Covariate-augmented unit root tests with mixed-frequency data," Working Papers w201507, Banco de Portugal, Economics and Research Department.
    3. Jansson, Michael, 2005. "Point optimal tests of the null hypothesis of cointegration," Journal of Econometrics, Elsevier, vol. 124(1), pages 187-201, January.
    4. Jushan Bai & Serena Ng, 2001. "A New Look at Panel Testing of Stationarity and the PPP Hypothesis," Economics Working Paper Archive 467, The Johns Hopkins University,Department of Economics.
    5. Tsong, Ching-Chuan & Wu, Chien-Wei & Chiu, Hsien-Hung & Lee, Cheng-Feng, 2013. "Covariate unit root tests under structural change and asymmetric STAR dynamics," Economic Modelling, Elsevier, vol. 33(C), pages 101-112.
    6. Harvey, David I. & Leybourne, Stephen J. & Taylor, A.M. Robert, 2007. "A simple, robust and powerful test of the trend hypothesis," Journal of Econometrics, Elsevier, vol. 141(2), pages 1302-1330, December.
    7. Kurozumi, Eiji, 2009. "Construction of Stationarity Tests with Less Size Distortions," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 50(1), pages 87-105, June.
    8. Yang, Yang & Zhao, Zhao, 2020. "Quantile nonlinear unit root test with covariates and an application to the PPP hypothesis," Economic Modelling, Elsevier, vol. 93(C), pages 728-736.
    9. Juhl, Ted, 2004. "A Lagrange multiplier stationarity test using covariates," Economics Letters, Elsevier, vol. 85(3), pages 321-326, December.
    10. Lee, Cheng-Feng & Tsong, Ching-Chuan, 2009. "Bootstrapping covariate stationarity tests for inflation rates," Economic Modelling, Elsevier, vol. 26(6), pages 1443-1448, November.
    11. Tsong, Ching-Chuan & Lee, Cheng-Feng, 2011. "Asymmetric inflation dynamics: Evidence from quantile regression analysis," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 668-680.
    12. Tsong Ching-Chuan, 2012. "Unit Root Testing with Stationary Covariates in the Framework of Asymmetric STAR Nonlinearity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(5), pages 1-27, December.
    13. Tsong, Ching-Chuan, 2011. "Testing for a unit root with covariates against nonlinear alternatives," Economic Modelling, Elsevier, vol. 28(3), pages 1226-1234, May.
    14. Cheng-Feng Lee & Ching-Chuan Tsong, 2013. "Bootstrapping Covariate Unit Root Tests: An Application To Inflation Rates," Bulletin of Economic Research, Wiley Blackwell, vol. 65, pages 165-174, May.
    15. Raihan, Selim & Abdullah, S M & Barkat, Aroni & Siddiqua, Salina, 2017. "Mean Reversion of the Real Exchange Rate and the validity of PPP Hypothesis in the context of Bangladesh: A Holistic Approach," MPRA Paper 77172, University Library of Munich, Germany.
    16. Müller, Ulrich K. & Watson, Mark W., 2013. "Low-frequency robust cointegration testing," Journal of Econometrics, Elsevier, vol. 174(2), pages 66-81.
    17. Lee, Cheng-Feng & Hu, Te-Chung & Li, Ping-Cheng & Tsong, Ching-Chuan, 2013. "Asymmetric behavior of unemployment rates: Evidence from the quantile covariate unit root test," Japan and the World Economy, Elsevier, vol. 28(C), pages 72-84.
    18. Tsong Ching-Chuan, 2012. "Unit Root Testing with Stationary Covariates in the Framework of Asymmetric STAR Nonlinearity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(5), pages 1-27, December.

  27. Michael Jansson, 2004. "The Error in Rejection Probability of Simple Autocorrelation Robust Tests," Econometrica, Econometric Society, vol. 72(3), pages 937-946, May.

    Cited by:

    1. Jen-Je Su, 2004. "Testing for no autocorrelation using a modified Lobato test," Economics Bulletin, AccessEcon, vol. 3(46), pages 1-9.
    2. Kim, Min Seong & Sun, Yixiao, 2013. "Heteroskedasticity and spatiotemporal dependence robust inference for linear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 177(1), pages 85-108.
    3. Kim, Min Seong & Sun, Yixiao & Yang, Jingjing, 2016. "A Fixed-bandwidth View of the Pre-asymptotic Inference for Kernel Smoothing with Time Series Data," University of California at San Diego, Economics Working Paper Series qt2240n3n5, Department of Economics, UC San Diego.
    4. Alessandro Casini & Pierre Perron, 2021. "Prewhitened Long-Run Variance Estimation Robust to Nonstationarity," Papers 2103.02235, arXiv.org, revised Aug 2024.
    5. Surajit Ray & N. E. Savin, 2008. "The performance of heteroskedasticity and autocorrelation robust tests: a Monte Carlo study with an application to the three-factor Fama-French asset-pricing model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 91-109.
    6. Hwang, Jungbin & Sun, Yixiao, 2015. "Asymptotic F and t Tests in an Efficient GMM Setting," University of California at San Diego, Economics Working Paper Series qt1c62d8xf, Department of Economics, UC San Diego.
    7. Ray, Surajit & Savin, N.E. & Tiwari, Ashish, 2009. "Testing the CAPM revisited," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 721-733, December.
    8. Kolokotrones, Thomas & Stock, James H. & Walker, Christopher D., 2024. "Is Newey–West optimal among first-order kernels?," Journal of Econometrics, Elsevier, vol. 240(2).
    9. Ulrich K. Müller & Mark W. Watson, 2020. "Low-Frequency Analysis of Economic Time Series," Working Papers 2020-13, Princeton University. Economics Department..
    10. Yixiao Sun, 2014. "Fixed-smoothing Asymptotics and AsymptoticFandtTests in the Presence of Strong Autocorrelation," Advances in Econometrics, in: Essays in Honor of Peter C. B. Phillips, volume 14, pages 23-63, Emerald Group Publishing Limited.
    11. Sun, Yixiao, 2013. "Fixed-smoothing Asymptotics in a Two-step GMM Framework," University of California at San Diego, Economics Working Paper Series qt64x4z265, Department of Economics, UC San Diego.
    12. Sun, Yixiao, 2014. "Let’s fix it: Fixed-b asymptotics versus small-b asymptotics in heteroskedasticity and autocorrelation robust inference," Journal of Econometrics, Elsevier, vol. 178(P3), pages 659-677.
    13. Hwang, Jungbin & Sun, Yixiao, 2018. "Should we go one step further? An accurate comparison of one-step and two-step procedures in a generalized method of moments framework," Journal of Econometrics, Elsevier, vol. 207(2), pages 381-405.
    14. Timothy Christensen, 2014. "Nonparametric Stochastic Discount Factor Decomposition," Papers 1412.4428, arXiv.org, revised May 2017.
    15. 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.
    16. Hirukawa, Masayuki, 2023. "Robust Covariance Matrix Estimation in Time Series: A Review," Econometrics and Statistics, Elsevier, vol. 27(C), pages 36-61.
    17. Peter C. B. Phillips & Xiaohu Wang & Yonghui Zhang, 2019. "HAR Testing for Spurious Regression in Trend," Econometrics, MDPI, vol. 7(4), pages 1-28, December.
    18. Vogelsang, Timothy & Nawaz, Nasreen, 2015. "Estimation and Inference of Linear Trend Slope Ratios with an Application to Global Temperature Data," MPRA Paper 117435, University Library of Munich, Germany.
    19. Sun, Yixiao X & Phillips, Peter C. B. & Jin, Sainan, 2005. "Optimal Bandwidth Selection in Heteroskedasticity-Autocorrelation Robust Testing∗," University of California at San Diego, Economics Working Paper Series qt16b3j2hd, Department of Economics, UC San Diego.
    20. Xu, Ke-Li, 2012. "Robustifying multivariate trend tests to nonstationary volatility," Journal of Econometrics, Elsevier, vol. 169(2), pages 147-154.
    21. Alessandro Casini, 2021. "Theory of Evolutionary Spectra for Heteroskedasticity and Autocorrelation Robust Inference in Possibly Misspecified and Nonstationary Models," Papers 2103.02981, arXiv.org, revised Aug 2024.
    22. Sun, Yixiao, 2011. "Robust trend inference with series variance estimator and testing-optimal smoothing parameter," Journal of Econometrics, Elsevier, vol. 164(2), pages 345-366, October.
    23. Sainan Jin & Peter C.B. Phillips & Yixiao Sun, 2005. "A New Approach to Robust Inference in Cointegration," Cowles Foundation Discussion Papers 1538, Cowles Foundation for Research in Economics, Yale University.
    24. Julian Martinez-Iriarte & Yixiao Sun & Xuexin Wang, 2019. "Asymptotic F Tests under Possibly Weak Identification," Working Papers 2019-03-12, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    25. Christis Katsouris, 2022. "Asymptotic Theory for Unit Root Moderate Deviations in Quantile Autoregressions and Predictive Regressions," Papers 2204.02073, arXiv.org, revised Aug 2023.
    26. Xiaoqing Ye & Yixiao Sun, 2018. "Heteroskedasticity- and autocorrelation-robust F and t tests in Stata," Stata Journal, StataCorp LP, vol. 18(4), pages 951-980, December.
    27. Xiaohong Chen & Zhipeng Liao & Yixiao Sun, 2012. "Sieve Inference on Semi-nonparametric Time Series Models," Cowles Foundation Discussion Papers 1849, Cowles Foundation for Research in Economics, Yale University.
    28. Yixiao Sun & Xuexin Wang, 2019. "An Asymptotically F-Distributed Chow Test in the Presence of Heteroscedasticity and Autocorrelation," Papers 1911.03771, arXiv.org.
    29. Federico Belotti & Alessandro Casini & Leopoldo Catania & Stefano Grassi & Pierre Perron, 2023. "Simultaneous bandwidths determination for DK-HAC estimators and long-run variance estimation in nonparametric settings," Econometric Reviews, Taylor & Francis Journals, vol. 42(3), pages 281-306, February.
    30. Xuexin Wang & Yixiao Sun, 2020. "An Asymptotic F Test for Uncorrelatedness in the Presence of Time Series Dependence," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(4), pages 536-550, July.
    31. Peter C.B. Phillips & Yixiao Sun & Sainan Jin, 2005. "Improved HAR Inference," Cowles Foundation Discussion Papers 1513, Cowles Foundation for Research in Economics, Yale University.
    32. Xiaofeng Shao, 2010. "A self‐normalized approach to confidence interval construction in time series," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(3), pages 343-366, June.
    33. Bester, C. Alan & Conley, Timothy G. & Hansen, Christian B., 2011. "Inference with dependent data using cluster covariance estimators," Journal of Econometrics, Elsevier, vol. 165(2), pages 137-151.
    34. Casini, Alessandro, 2023. "Theory of evolutionary spectra for heteroskedasticity and autocorrelation robust inference in possibly misspecified and nonstationary models," Journal of Econometrics, Elsevier, vol. 235(2), pages 372-392.
    35. Zhang, Xianyang & Shao, Xiaofeng, 2013. "On a general class of long run variance estimators," Economics Letters, Elsevier, vol. 120(3), pages 437-441.
    36. Ulrich K. Müller & Mark W. Watson, 2015. "Low-Frequency Econometrics," NBER Working Papers 21564, National Bureau of Economic Research, Inc.
    37. Casini, Alessandro, 2024. "The fixed-b limiting distribution and the ERP of HAR tests under nonstationarity," Journal of Econometrics, Elsevier, vol. 238(2).
    38. Eben Lazarus & Daniel J. Lewis & James H. Stock, 2021. "The Size‐Power Tradeoff in HAR Inference," Econometrica, Econometric Society, vol. 89(5), pages 2497-2516, September.
    39. Hansen, Peter R. & Lunde, Asger, 2006. "Realized Variance and Market Microstructure Noise," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 127-161, April.
    40. Ye Cai & Mototsugu Shintani, 2005. "On the Long-Run Variance Ratio Test for a Unit Root," Vanderbilt University Department of Economics Working Papers 0506, Vanderbilt University Department of Economics.
    41. Timothy M. Christensen, 2015. "Nonparametric stochastic discount factor decomposition," CeMMAP working papers 24/15, Institute for Fiscal Studies.
    42. Choi, Hwan-sik & Kiefer, Nicholas M., 2006. "Robust Model Selection in Dynamic Models with an Application to Comparing Predictive Accuracy," Working Papers 06-09, Cornell University, Center for Analytic Economics.
    43. Timothy M. Christensen, 2015. "Nonparametric stochastic discount factor decomposition," CeMMAP working papers CWP24/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    44. Hualde, Javier & Iacone, Fabrizio, 2017. "Fixed bandwidth asymptotics for the studentized mean of fractionally integrated processes," Economics Letters, Elsevier, vol. 150(C), pages 39-43.
    45. Zhang, Xianyang, 2016. "Fixed-smoothing asymptotics in the generalized empirical likelihood estimation framework," Journal of Econometrics, Elsevier, vol. 193(1), pages 123-146.
    46. Javier Hualde & Fabrizio Iacone, 2015. "Autocorrelation robust inference using the Daniell kernel with fixed bandwidth," Discussion Papers 15/14, Department of Economics, University of York.
    47. Preinerstorfer, David & Pötscher, Benedikt M., 2013. "On Size and Power of Heteroscedasticity and Autocorrelation Robust Tests," MPRA Paper 45675, University Library of Munich, Germany.
    48. Alessandro Casini & Taosong Deng & Pierre Perron, 2021. "Theory of Low Frequency Contamination from Nonstationarity and Misspecification: Consequences for HAR Inference," Papers 2103.01604, arXiv.org, revised Sep 2024.
    49. Xiaohong Chen & . . & Yixiao Sun, 2012. "Sieve inference on semi-nonparametric time series models," CeMMAP working papers 06/12, Institute for Fiscal Studies.
    50. Ulrich K. Müller, 2014. "HAC Corrections for Strongly Autocorrelated Time Series," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(3), pages 311-322, July.
    51. Cheol-Keun Cho & Timothy J. Vogelsang, 2016. "Fixed- b Inference for Testing Structural Change in a Time Series Regression," Econometrics, MDPI, vol. 5(1), pages 1-26, December.
    52. Muller, Ulrich K., 2007. "A theory of robust long-run variance estimation," Journal of Econometrics, Elsevier, vol. 141(2), pages 1331-1352, December.
    53. Sun, Yixiao & Kim, Min Seong, 2012. "Simple and powerful GMM over-identification tests with accurate size," Journal of Econometrics, Elsevier, vol. 166(2), pages 267-281.
    54. George Kapetanios & Zacharias Psaradakis, 2016. "Semiparametric Sieve-Type Generalized Least Squares Inference," Econometric Reviews, Taylor & Francis Journals, vol. 35(6), pages 951-985, June.
    55. Christis Katsouris, 2023. "Bootstrapping Nonstationary Autoregressive Processes with Predictive Regression Models," Papers 2307.14463, arXiv.org.
    56. Kin Wai Chan & Chun Yip Yau, 2017. "High-order Corrected Estimator of Asymptotic Variance with Optimal Bandwidth," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 44(4), pages 866-898, December.
    57. Preinerstorfer, David, 2014. "Finite Sample Properties of Tests Based on Prewhitened Nonparametric Covariance Estimators," MPRA Paper 58333, University Library of Munich, Germany.

  28. Elliott, Graham & Jansson, Michael, 2003. "Testing for unit roots with stationary covariates," Journal of Econometrics, Elsevier, vol. 115(1), pages 75-89, July.
    See citations under working paper version above.
  29. Jansson, Michael, 2002. "Consistent Covariance Matrix Estimation For Linear Processes," Econometric Theory, Cambridge University Press, vol. 18(6), pages 1449-1459, December.

    Cited by:

    1. Linton, Oliver & Seo, Myunghwan, 2005. "A smoothed least squares estimator for threshold regression models," LSE Research Online Documents on Economics 4434, London School of Economics and Political Science, LSE Library.
    2. Del Barrio Castro, T & Rodrigues, PMM & Taylor, AMR, 2015. "Semi-Parametric Seasonal Unit Root Tests," Essex Finance Centre Working Papers 16807, University of Essex, Essex Business School.
    3. Wagner, Martin & Wied, Dominik, 2014. "Monitoring Stationarity and Cointegration," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100386, Verein für Socialpolitik / German Economic Association.
    4. Ted Juhl & Zhijie Xiao, 2008. "Tests For Changing Mean With Monotonic Power," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 200809, University of Kansas, Department of Economics, revised Sep 2008.
    5. Cláudia Duarte, 2015. "Covariate-augmented unit root tests with mixed-frequency data," Working Papers w201507, Banco de Portugal, Economics and Research Department.
    6. Firmin Doko Tchatoka & Qazi Haque, 2020. "On bootstrapping tests of equal forecast accuracy for nested models," Economics Discussion / Working Papers 20-06, The University of Western Australia, Department of Economics.
    7. Castro, Tomás del Barrio & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2013. "The Impact Of Persistent Cycles On Zero Frequency Unit Root Tests," Econometric Theory, Cambridge University Press, vol. 29(6), pages 1289-1313, December.
    8. Jansson, Michael, 2005. "Point optimal tests of the null hypothesis of cointegration," Journal of Econometrics, Elsevier, vol. 124(1), pages 187-201, January.
    9. Knorre, Fabian & Wagner, Martin & Grupe, Maximilian, 2020. "Monitoring Cointegrating Polynomial Regressions: Theory and Application to the Environmental Kuznets Curves for Carbon and Sulfur Dioxide Emissions," IHS Working Paper Series 27, Institute for Advanced Studies.
    10. Karsten Reichold, 2022. "A Residuals-Based Nonparametric Variance Ratio Test for Cointegration," Papers 2211.06288, arXiv.org, revised Dec 2022.
    11. Wagner, Martin, 2023. "Fully Modified Least Squares Estimation and Inference for Systems of Cointegrating Polynomial Regressions," IHS Working Paper Series 44, Institute for Advanced Studies.
    12. Youngsoo Bae & Robert M. de Jong, 2007. "Money demand function estimation by nonlinear cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 767-793.
    13. Lu, Ye & Park, Joon Y., 2019. "Estimation of longrun variance of continuous time stochastic process using discrete sample," Journal of Econometrics, Elsevier, vol. 210(2), pages 236-267.
    14. 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.
    15. Daniel Wilhelm, 2014. "Optimal bandwidth selection for robust generalized method of moments estimation," CeMMAP working papers CWP15/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. 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.
    17. Nawaz, Nasreen, 2017. "Robust Inference by Sub-sampling," MPRA Paper 116721, University Library of Munich, Germany, revised 08 Jun 2019.
    18. Amsler Christine & Schmidt Peter, 2012. "A Comparison of the Robustness of Several Tests of Short Memory to Autocorrelated Errors," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 56-66, August.
    19. 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.
    20. Yicong Lin & Hanno Reuvers, 2020. "Cointegrating Polynomial Regressions with Power Law Trends: Environmental Kuznets Curve or Omitted Time Effects?," Papers 2009.02262, arXiv.org, revised Dec 2021.
    21. Abhimanyu Gupta & Myung Hwan Seo, 2023. "Robust Inference on Infinite and Growing Dimensional Time‐Series Regression," Econometrica, Econometric Society, vol. 91(4), pages 1333-1361, July.
    22. Martin Wagner & Dominik Wied, 2017. "Consistent Monitoring of Cointegrating Relationships: The US Housing Market and the Subprime Crisis," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(6), pages 960-980, November.
    23. Hirukawa, Masayuki, 2023. "Robust Covariance Matrix Estimation in Time Series: A Review," Econometrics and Statistics, Elsevier, vol. 27(C), pages 36-61.
    24. 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.
    25. Harvey, David I. & Leybourne, Stephen J. & Taylor, A.M. Robert, 2007. "A simple, robust and powerful test of the trend hypothesis," Journal of Econometrics, Elsevier, vol. 141(2), pages 1302-1330, December.
    26. Amsler Christine & Schmidt Peter & Vogelsang Timothy J, 2009. "The KPSS Test Using Fixed-b Critical Values: Size and Power in Highly Autocorrelated Time Series," Journal of Time Series Econometrics, De Gruyter, vol. 1(1), pages 1-44, December.
    27. Martin Wagner, 2023. "Residual-based cointegration and non-cointegration tests for cointegrating polynomial regressions," Empirical Economics, Springer, vol. 65(1), pages 1-31, July.
    28. Smith, Richard J., 2005. "Automatic Positive Semidefinite Hac Covariance Matrix And Gmm Estimation," Econometric Theory, Cambridge University Press, vol. 21(1), pages 158-170, February.
    29. Sun, Yixiao X & Phillips, Peter C. B. & Jin, Sainan, 2005. "Optimal Bandwidth Selection in Heteroskedasticity-Autocorrelation Robust Testing∗," University of California at San Diego, Economics Working Paper Series qt16b3j2hd, Department of Economics, UC San Diego.
    30. Friedrich, Marina & Smeekes, Stephan & Urbain, Jean-Pierre, 2020. "Autoregressive wild bootstrap inference for nonparametric trends," Journal of Econometrics, Elsevier, vol. 214(1), pages 81-109.
    31. Vogelsang, Timothy J. & Wagner, Martin, 2011. "Integrated Modified OLS Estimation and Fixed-b Inference for Cointegrating Regressions," Economics Series 263, Institute for Advanced Studies.
    32. Georgiev, I & Rodrigues, PMM & Taylor, AMR, 2017. "Unit Root Tests and Heavy-Tailed Innovations," Essex Finance Centre Working Papers 18832, University of Essex, Essex Business School.
    33. Pedroni, Peter & Vogelsang, Timothy J. & Wagner, Martin & Westerlund, Joakim, 2011. "Nonparametric Rank Tests for Non-stationary Panels," Economics Series 270, Institute for Advanced Studies.
    34. Paulo Manuel Marques Rodrigues, 2013. "On the Behaviour of Phillips-Perron Tests in the Presence of Persistent Cycles," CEFAGE-UE Working Papers 2013_11, University of Evora, CEFAGE-UE (Portugal).
    35. Kurozumi, Eiji & Hayakawa, Kazuhiko, 2009. "Asymptotic properties of the efficient estimators for cointegrating regression models with serially dependent errors," Journal of Econometrics, Elsevier, vol. 149(2), pages 118-135, April.
    36. Xu, Ke-Li, 2013. "Powerful tests for structural changes in volatility," Journal of Econometrics, Elsevier, vol. 173(1), pages 126-142.
    37. Jansson, Michael, 2004. "Stationarity Testing With Covariates," Econometric Theory, Cambridge University Press, vol. 20(1), pages 56-94, February.
    38. Kawka, Rafael, 2022. "Convergence of spectral density estimators in the locally stationary framework," Econometrics and Statistics, Elsevier, vol. 24(C), pages 94-115.
    39. Yixiao Sun & Peter C.B. Phillips & Sainan Jin, 2010. "Power Maximization and Size Control in Heteroskedasticity and Autocorrelation Robust Tests with Exponentiated Kernels," Cowles Foundation Discussion Papers 1749, Cowles Foundation for Research in Economics, Yale University.
    40. Oguzhan Akgun & Alain Pirotte & Giovanni Urga & Zhenlin Yang, 2020. "Equal Predictive Ability Tests Based on Panel Data with Applications to OECD and IMF Forecasts," Papers 2003.02803, arXiv.org, revised Feb 2023.
    41. Vogelsang, Timothy J. & Wagner, Martin, 2011. "A Fixed-b Perspective on the Phillips-Perron Unit Root Tests," Economics Series 272, Institute for Advanced Studies.
    42. Zhenxin Wang & Shaoping Wang & Yayi Yan, 2024. "Sieve Bootstrap for Fixed-b Phillips–Perron Unit Root Test," Computational Economics, Springer;Society for Computational Economics, vol. 64(6), pages 3181-3205, December.
    43. Peter C.B. Phillips & Yixiao Sun & Sainan Jin, 2005. "Improved HAR Inference," Cowles Foundation Discussion Papers 1513, Cowles Foundation for Research in Economics, Yale University.
    44. Yasutomo Murasawa, 2009. "Do coincident indicators have one-factor structure?," Empirical Economics, Springer, vol. 36(2), pages 339-365, May.
    45. Yang, Yang & Wang, Shaoping, 2017. "Two simple tests of the trend hypothesis under time-varying variance," Economics Letters, Elsevier, vol. 156(C), pages 123-128.
    46. Katsumi Shimotsu & Alex Maynard, 2004. "Covariance-based orthogonality tests for regressors with unknown persistence," Econometric Society 2004 North American Summer Meetings 536, Econometric Society.
    47. 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.
    48. 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.
    49. Jan Mutl & Leopold Sögner, 2019. "Parameter estimation and inference with spatial lags and cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 38(6), pages 597-635, July.
    50. Masayuki Hirukawa, 2006. "A Two-Stage Plug-In Bandwidth Selection and Its Implementation for Covariance Estimation," CIRJE F-Series CIRJE-F-431, CIRJE, Faculty of Economics, University of Tokyo.
    51. Davidson, James, 2020. "A new consistency proof for HAC variance estimators," Economics Letters, Elsevier, vol. 186(C).
    52. Cho, Cheol-Keun & Amsler, Christine & Schmidt, Peter, 2015. "A test of the null of integer integration against the alternative of fractional integration," Journal of Econometrics, Elsevier, vol. 187(1), pages 217-237.
    53. Daniel Wilhelm, 2014. "Optimal bandwidth selection for robust generalized method of moments estimation," CeMMAP working papers 15/14, Institute for Fiscal Studies.
    54. Xiao, Zhijie & Lima, Luiz Renato Regis de Oliveira, 2006. "Testing covariance stationarity," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 632, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    55. Stypka, Oliver & Wagner, Martin & Grabarczyk, Peter & Kawka, Rafael, 2017. "The Asymptotic Validity of "Standard" Fully Modified OLS Estimation and Inference in Cointegrating Polynomial Regressions," Economics Series 333, Institute for Advanced Studies.
    56. Wagner, Martin & Grabarczyk, Peter & Hong, Seung Hyun, 2020. "Fully modified OLS estimation and inference for seemingly unrelated cointegrating polynomial regressions and the environmental Kuznets curve for carbon dioxide emissions," Journal of Econometrics, Elsevier, vol. 214(1), pages 216-255.
    57. Nikolaj Malchow-Moeller & Bo Jellesmark Thorsen, "undated". "A Dynamic Agricultural Household Model with Uncertain Income and Irreversible and Indivisible Investments under Credit Constraints," Economics Working Papers 2000-7, Department of Economics and Business Economics, Aarhus University.
    58. Preinerstorfer, David & Pötscher, Benedikt M., 2013. "On Size and Power of Heteroscedasticity and Autocorrelation Robust Tests," MPRA Paper 45675, University Library of Munich, Germany.
    59. Luke Hartigan, 2016. "Alternative HAC Covariance Matrix Estimators with Improved Finite Sample Properties," Discussion Papers 2016-06, School of Economics, The University of New South Wales.
    60. Richard Smith, 2004. "Automatic positive semi-definite HAC covariance matrix and GMM estimation," CeMMAP working papers 17/04, Institute for Fiscal Studies.
    61. Cheol-Keun Cho & Timothy J. Vogelsang, 2016. "Fixed- b Inference for Testing Structural Change in a Time Series Regression," Econometrics, MDPI, vol. 5(1), pages 1-26, December.
    62. Francq, Christian & Zakoïan, Jean-Michel, 2007. "HAC estimation and strong linearity testing in weak ARMA models," Journal of Multivariate Analysis, Elsevier, vol. 98(1), pages 114-144, January.
    63. Horváth, Lajos & Reeder, Ron, 2012. "Detecting changes in functional linear models," Journal of Multivariate Analysis, Elsevier, vol. 111(C), pages 310-334.
    64. Preinerstorfer, David, 2014. "Finite Sample Properties of Tests Based on Prewhitened Nonparametric Covariance Estimators," MPRA Paper 58333, University Library of Munich, Germany.

  30. Jansson, Michael & Haldrup, Niels, 2002. "Regression Theory For Nearly Cointegrated Time Series," Econometric Theory, Cambridge University Press, vol. 18(6), pages 1309-1335, December.

    Cited by:

    1. Lin, Yingqian & Tu, Yundong, 2020. "Robust inference for spurious regressions and cointegrations involving processes moderately deviated from a unit root," Journal of Econometrics, Elsevier, vol. 219(1), pages 52-65.
    2. Jansson, Michael, 2005. "Point optimal tests of the null hypothesis of cointegration," Journal of Econometrics, Elsevier, vol. 124(1), pages 187-201, January.
    3. Morten Oerregaard Nielsen, "undated". "Optimal Residual Based Tests for Fractional Cointegration and Exchange Rate Dynamics," Economics Working Papers 2002-7, Department of Economics and Business Economics, Aarhus University.
    4. Jansson, Michael, 2004. "Stationarity Testing With Covariates," Econometric Theory, Cambridge University Press, vol. 20(1), pages 56-94, February.
    5. Pesavento, Elena, 2000. "Analytical Evaluation of the Power of Tests for the Absence of Cointegration," University of California at San Diego, Economics Working Paper Series qt4cq4773c, Department of Economics, UC San Diego.
    6. Chevillon, Guillaume, 2012. "Local-Explosive Approximations to Null Distributions of the Johansen Cointegration Test, with an Application to Cyclical Concordance in the Euro Area," ESSEC Working Papers WP1210, ESSEC Research Center, ESSEC Business School.
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    Cited by:

    1. Sharifi, Amirreza & Kalin, Latif & Hantush, Mohamed M. & Isik, Sabahattin & Jordan, Thomas E., 2013. "Carbon dynamics and export from flooded wetlands: A modeling approach," Ecological Modelling, Elsevier, vol. 263(C), pages 196-210.

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