Design of Partial Population Experiments with an Application to Spillovers in Tax Compliance
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Cruces, Guillermo & Tortarolo, Dario & Vazquez-Bare, Gonzalo, 2024. "Design of Partial Population Experiments with an Application to Spillovers in Tax Compliance," IZA Discussion Papers 17256, Institute of Labor Economics (IZA).
- Dario Tortarolo & Guillermo Cruces & Gonzalo Vazquez-Bare, 2023. "Design of partial population experiments with an application to spillovers in tax compliance," IFS Working Papers W23/17, Institute for Fiscal Studies.
References listed on IDEAS
- repec:hal:pseose:halshs-00840901 is not listed on IDEAS
- Bruno Crépon & Esther Duflo & Marc Gurgand & Roland Rathelot & Philippe Zamora, 2013.
"Do Labor Market Policies have Displacement Effects? Evidence from a Clustered Randomized Experiment,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(2), pages 531-580.
- Crépon, Bruno & Duflo, Esther & Gurgand, Marc & Zamora, Philippe & Rathelot, Roland, 2012. "Do Labor Market Policies Have Displacement Effects? Evidence from a Clustered Randomized Experiment," CEPR Discussion Papers 9251, C.E.P.R. Discussion Papers.
- Bruno Crépon & Esther Duflo & Marc Gurgand & Roland Rathelot & Philippe Zamora, 2013. "Do Labor Market Policies have Displacement Effects? Evidence from a Clustered Randomized Experiment," Post-Print halshs-00840901, HAL.
- Bruno Crépon & Esther Duflo & Marc Gurgand & Roland Rathelot & Philippe Zamora, 2012. "Do Labor Market Policies Have Displacement Effects? Evidence from a Clustered Randomized Experiment," NBER Working Papers 18597, National Bureau of Economic Research, Inc.
- Bruno Crépon & Esther Duflo & Marc Gurgand & Roland Rathelot & Philippe Zamora, 2012. "Do Labor Market Policies have Displacement Effects? Evidence from a Clustered Randomized Experiment," Working Papers 2012-28, Center for Research in Economics and Statistics.
- Bruno Crépon & Esther Duflo & Marc Gurgand & Roland Rathelot & Philippe Zamora, 2013. "Do Labor Market Policies have Displacement Effects? Evidence from a Clustered Randomized Experiment," PSE-Ecole d'économie de Paris (Postprint) halshs-00840901, HAL.
- Djogbenou, Antoine A. & MacKinnon, James G. & Nielsen, Morten Ørregaard, 2019.
"Asymptotic theory and wild bootstrap inference with clustered errors,"
Journal of Econometrics, Elsevier, vol. 212(2), pages 393-412.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ø. Nielsen, 2018. "Asymptotic Theory And Wild Bootstrap Inference With Clustered Errors," Working Paper 1399, Economics Department, Queen's University.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2019. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," CREATES Research Papers 2019-05, Department of Economics and Business Economics, Aarhus University.
- Boning, William C. & Guyton, John & Hodge, Ronald & Slemrod, Joel, 2020. "Heard it through the grapevine: The direct and network effects of a tax enforcement field experiment on firms," Journal of Public Economics, Elsevier, vol. 190(C).
- Andrew V. Carter & Kevin T. Schnepel & Douglas G. Steigerwald, 2017. "Asymptotic Behavior of a t -Test Robust to Cluster Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 99(4), pages 698-709, July.
- Esther Duflo & Emmanuel Saez, 2003.
"The Role of Information and Social Interactions in Retirement Plan Decisions: Evidence from a Randomized Experiment,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 815-842.
- Esther Duflo & Emmanuel Saez, 2002. "The Role of Information and Social Interactions in Retirement Plan Decisions: Evidence from a Randomized Experiment," NBER Working Papers 8885, National Bureau of Economic Research, Inc.
- Esther Duflo & Emmanuel Saez, 2003. "The role of information and social interactions in retirement plan decisions: Evidence from a randomized experiment," Framed Field Experiments 00141, The Field Experiments Website.
- Manuela Angelucci & Giacomo De Giorgi, 2009. "Indirect Effects of an Aid Program: How Do Cash Transfers Affect Ineligibles' Consumption?," American Economic Review, American Economic Association, vol. 99(1), pages 486-508, March.
- G W Basse & A Feller & P Toulis, 2019. "Randomization tests of causal effects under interference," Biometrika, Biometrika Trust, vol. 106(2), pages 487-494.
- Jan-Emmanuel De Neve & Clément Imbert & Johannes Spinnewijn & Teodora Tsankova & Maarten Luts, 2021.
"How to Improve Tax Compliance? Evidence from Population-Wide Experiments in Belgium,"
Journal of Political Economy, University of Chicago Press, vol. 129(5), pages 1425-1463.
- Jan-Emmanuel De Neve & Clement Imbert & Maarten Luts & Johannes Spinnewijn & Teodora Tsankova, 2019. "How to improve tax compliance? Evidence from population-wide experiments in Belgium," CEP Discussion Papers dp1621, Centre for Economic Performance, LSE.
- De Neve, Jan-Emmanuel & Imbert Clement & Spinnewijn, Johannes & Tsankova, Teodora & Luts, Maarten, 2020. "How to Improve Tax Compliance? Evidence from Population-wide Experiments in Belgium," The Warwick Economics Research Paper Series (TWERPS) 1252, University of Warwick, Department of Economics.
- De Neve, Jan-Emmanuel & Imbert, Clement & Spinnewijn, Johannes & Tsankova, Teodora & Luts, Maarten, 2020. "How to Improve Tax Compliance? Evidence from Population-wide Experiments in Belgium," CAGE Online Working Paper Series 458, Competitive Advantage in the Global Economy (CAGE).
- De Neve, Jan-Emmanuel & Imbert, Clement & Spinnewijn, Johannes & Tsankova, Teodora & Luts, Maarten, 2019. "How to improve tax compliance? Evidence from population-wide experiments in Belgium," LSE Research Online Documents on Economics 102725, London School of Economics and Political Science, LSE Library.
- De Neve, Jan-Emmanuel & Imbert, Clement & Spinnewijn , Johannes & Tsankova, Teodora & Luts, Maarten, 2021. "How to improve tax compliance? Evidence from population-wide experiments in Belgium," Other publications TiSEM b20f188f-8142-484a-bb21-f, Tilburg University, School of Economics and Management.
- De Neve, Jan-Emmanuel & Imbert, Clement & Spinnewijn, Johannes & Tsankova, Teodora & Luts, Maarten, 2021. "How to improve tax compliance? Evidence from population-wide experiments in Belgium," LSE Research Online Documents on Economics 106265, London School of Economics and Political Science, LSE Library.
- Spinnewijn, Johannes & De Neve, Jan-Emmanuel & Imbert, Clément & Tsankova, Teodora & Luts, Maarten, 2019. "How to Improve Tax Compliance? Evidence from Population-wide Experiments in Belgium," CEPR Discussion Papers 13733, C.E.P.R. Discussion Papers.
- De Neve, Jan-Emmanuel & Imbert, Clement & Spinnewijn, Johannes & Tsankova, Teodora & Luts, Maarten, 2019. "How to Improve Tax Compliance? Evidence from Population-wide Experiments in Belgium," The Warwick Economics Research Paper Series (TWERPS) 1194, University of Warwick, Department of Economics.
- Susan Athey & Dean Eckles & Guido W. Imbens, 2018.
"Exact p-Values for Network Interference,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(521), pages 230-240, January.
- Athey, Susan & Eckles, Dean & Imbens, Guido W., 2015. "Exact P-Values for Network Interference," Research Papers 3351, Stanford University, Graduate School of Business.
- Susan Athey & Dean Eckles & Guido W. Imbens, 2015. "Exact P-values for Network Interference," NBER Working Papers 21313, National Bureau of Economic Research, Inc.
- Athey, Susan & Eckles, Dean & Imbens, Guido W., 2015. "Exact P-Values for Network Interference," Research Papers 3287, Stanford University, Graduate School of Business.
- Kosuke Imai & Zhichao Jiang & Anup Malani, 2021. "Causal Inference With Interference and Noncompliance in Two-Stage Randomized Experiments," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(534), pages 632-644, April.
- A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
- Miriam Bruhn & David McKenzie, 2009.
"In Pursuit of Balance: Randomization in Practice in Development Field Experiments,"
American Economic Journal: Applied Economics, American Economic Association, vol. 1(4), pages 200-232, October.
- Bruhn, Miriam & McKenzie, David, 2008. "In pursuit of balance : randomization in practice in development field experiments," Policy Research Working Paper Series 4752, The World Bank.
- Weigel, Jonathan, 2020. "The participation dividend of taxation: how citizens in Congo engage more with the state when it tries to tax them," LSE Research Online Documents on Economics 104561, London School of Economics and Political Science, LSE Library.
- Dina Pomeranz & José Vila-Belda, 2019.
"Taking State-Capacity Research to the Field: Insights from Collaborations with Tax Authorities,"
Annual Review of Economics, Annual Reviews, vol. 11(1), pages 755-781, August.
- Pomeranz, Dina & Vila-Belda, José, 2019. "Taking State-Capacity Research to the Field: Insights from Collaborations with Tax Authorities," CEPR Discussion Papers 13688, C.E.P.R. Discussion Papers.
- Michael P. Leung, 2021.
"Rate-Optimal Cluster-Randomized Designs for Spatial Interference,"
Papers
2111.04219, arXiv.org, revised Sep 2022.
- Leung, Michael P, 2022. "Rate-optimal cluster-randomized designs for spatial interference," Santa Cruz Department of Economics, Working Paper Series qt8t44s021, Department of Economics, UC Santa Cruz.
- Hansen, Bruce E. & Lee, Seojeong, 2019.
"Asymptotic theory for clustered samples,"
Journal of Econometrics, Elsevier, vol. 210(2), pages 268-290.
- Bruce E. Hansen & Seojeong Jay Lee, 2017. "Asymptotic Theory for Clustered Samples," Discussion Papers 2017-18, School of Economics, The University of New South Wales.
- Bruce E. Hansen & Seojeong Lee, 2019. "Asymptotic Theory for Clustered Samples," Papers 1902.01497, arXiv.org.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2019.
"Inference under covariate‐adaptive randomization with multiple treatments,"
Quantitative Economics, Econometric Society, vol. 10(4), pages 1747-1785, November.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2017. "Inference under covariate-adaptive randomization with multiple treatments," CeMMAP working papers CWP34/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2018. "Inference under Covariate-Adaptive Randomization with Multiple Treatments," Papers 1806.04206, arXiv.org, revised Jan 2019.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2017. "Inference under covariate-adaptive randomization with multiple treatments," CeMMAP working papers 34/17, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2019. "Inference under covariate-adaptive randomization with multiple treatments," CeMMAP working papers CWP04/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Edward Miguel & Michael Kremer, 2004. "Worms: Identifying Impacts on Education and Health in the Presence of Treatment Externalities," Econometrica, Econometric Society, vol. 72(1), pages 159-217, January.
- Vazquez-Bare, Gonzalo, 2023. "Identification and estimation of spillover effects in randomized experiments," Journal of Econometrics, Elsevier, vol. 237(1).
- David Puelz & Guillaume Basse & Avi Feller & Panos Toulis, 2022. "A graph‐theoretic approach to randomization tests of causal effects under general interference," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(1), pages 174-204, February.
- Johannes Haushofer & Jeremy Shapiro, 2016. "The Short-term Impact of Unconditional Cash Transfers to the Poor: ExperimentalEvidence from Kenya," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1973-2042.
- Hirano, Keisuke & Hahn, Jinyong, 2010. "Design of randomized experiments to measure social interaction effects," Economics Letters, Elsevier, vol. 106(1), pages 51-53, January.
- Francesco Drago & Friederike Mengel & Christian Traxler, 2020.
"Compliance Behavior in Networks: Evidence from a Field Experiment,"
American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 96-133, April.
- Drago, Francesco & Mengel, Friederike & Traxler, Christian, 2015. "Compliance Behavior in Networks: Evidence from a Field Experiment," IZA Discussion Papers 9443, Institute of Labor Economics (IZA).
- Francesco Drago & Friederike Mengel & Christian Traxler, 2015. "Compliance Behavior in Networks: Evidence from a Field Experiment," CSEF Working Papers 419, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
- Dina Pomeranz, 2015.
"No Taxation without Information: Deterrence and Self-Enforcement in the Value Added Tax,"
American Economic Review, American Economic Association, vol. 105(8), pages 2539-2569, August.
- Dina Pomeranz, 2013. "No Taxation without Information: Deterrence and Self-Enforcement in the Value Added Tax," NBER Working Papers 19199, National Bureau of Economic Research, Inc.
- Carrillo, Paul E. & Castro, Edgar & Scartascini, Carlos, 2021. "Public good provision and property tax compliance: Evidence from a natural experiment," Journal of Public Economics, Elsevier, vol. 198(C).
- Felipe Barrera-Osorio & Marianne Bertrand & Leigh L. Linden & Francisco Perez-Calle, 2011. "Improving the Design of Conditional Transfer Programs: Evidence from a Randomized Education Experiment in Colombia," American Economic Journal: Applied Economics, American Economic Association, vol. 3(2), pages 167-195, April.
- Diether W. Beuermann & Julian Cristia & Santiago Cueto & Ofer Malamud & Yyannu Cruz-Aguayo, 2015. "One Laptop per Child at Home: Short-Term Impacts from a Randomized Experiment in Peru," American Economic Journal: Applied Economics, American Economic Association, vol. 7(2), pages 53-80, April.
- Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
- Xavier Giné & Ghazala Mansuri, 2018.
"Together We Will: Experimental Evidence on Female Voting Behavior in Pakistan,"
American Economic Journal: Applied Economics, American Economic Association, vol. 10(1), pages 207-235, January.
- Gine, Xavier & Mansuri, Ghazala, 2011. "Together we will : experimental evidence on female voting behavior in Pakistan," Policy Research Working Paper Series 5692, The World Bank.
- Jonathan L Weigel, 2020. "The Participation Dividend of Taxation: How Citizens in Congo Engage More with the State When it Tries to Tax Them," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 1849-1903.
- Guillaume Basse & Avi Feller, 2018. "Analyzing Two-Stage Experiments in the Presence of Interference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(521), pages 41-55, January.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Antinyan, Armenak & Asatryan, Zareh, 2019.
"Nudging for tax compliance: A meta-analysis,"
ZEW Discussion Papers
19-055, ZEW - Leibniz Centre for European Economic Research.
- Antinyan, Armenak & Asatryan, Zareh, 2024. "Nudging for tax compliance: A meta-analysis," ZEW Discussion Papers 24-054, ZEW - Leibniz Centre for European Economic Research.
- Armenak Antinyan & Zareh Asatryan, 2020. "Nudging for Tax Compliance: A Meta-Analysis," CESifo Working Paper Series 8500, CESifo.
- Hernández-Agramonte, Juan Manuel & Namen, Olga & Näslund-Hadley, Emma & Biehl, Maria Loreto, 2024. "Supporting early childhood development remotely: Experimental evidence from SMS messages," Journal of Development Economics, Elsevier, vol. 166(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Guillermo Cruces & Dario Tortarolo & Gonzalo Vazquez-Bare, 2022. "Design of two-stage experiments with an application to spillovers in tax compliance," IFS Working Papers W22/32, Institute for Fiscal Studies.
- List, John A. & Momeni, Fatemeh & Zenou, Yves, 2020.
"The Social Side of Early Human Capital Formation: Using a Field Experiment to Estimate the Causal Impact of Neighborhoods,"
IZA Discussion Papers
13966, Institute of Labor Economics (IZA).
- John A. List & Fatemeh Momeni & Yves Zenou, 2020. "The Social Side of Early Human Capital Formation: Using a Field Experiment to Estimate the Causal Impact of Neighborhoods," NBER Working Papers 28283, National Bureau of Economic Research, Inc.
- John A. List & Fatemeh Momeni & Yves Zenou, 2020. "The Social Side of Early Human Capital Formation: Using a Field Experiment to Estimate the Causal Impact of Neighborhoods," Working Papers 2020-187, Becker Friedman Institute for Research In Economics.
- John List & Fatemeh Momeni & Michael Vlassopoulos & Yves Zenou, 2023. "The Social Side of Early Human Capital Formation: Using a Field Experiment to Estimate the Causal Impact of Neighborhoods," Framed Field Experiments 00722, The Field Experiments Website.
- Francis J. DiTraglia & Camilo Garcia-Jimeno & Rossa O'Keeffe-O'Donovan & Alejandro Sanchez-Becerra, 2020. "Identifying Causal Effects in Experiments with Spillovers and Non-compliance," Papers 2011.07051, arXiv.org, revised Jan 2023.
- Sarah Baird & Aislinn Bohren & Craig McIntosh & Berk Ozler, 2014.
"Designing Experiments to Measure Spillover Effects,"
PIER Working Paper Archive
14-032, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Sarah Baird & Aislinn Bohren & Berk Ozler & Craig McIntosh, 2014. "Designing Experiments to Measure Spillover Effects," Working Papers 2014-11, The George Washington University, Institute for International Economic Policy.
- Baird, Sarah & Bohren, Aislinn & McIntosh, Craig & Ozler, Berk, 2014. "Designing experiments to measure spillover effects," Policy Research Working Paper Series 6824, The World Bank.
- Sarah Baird & J. Aislinn Bohren & Craig McIntosh & Berk Ozler, 2014. "Designing Experiments to Measure Spillover Effects," PIER Working Paper Archive 14-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Yuehao Bai & Azeem M. Shaikh & Max Tabord-Meehan, 2024. "A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances," Papers 2405.03910, arXiv.org.
- Gonzalo Vazquez-Bare, 2017. "Identification and Estimation of Spillover Effects in Randomized Experiments," Papers 1711.02745, arXiv.org, revised Jan 2022.
- DiTraglia, Francis J. & García-Jimeno, Camilo & O’Keeffe-O’Donovan, Rossa & Sánchez-Becerra, Alejandro, 2023. "Identifying causal effects in experiments with spillovers and non-compliance," Journal of Econometrics, Elsevier, vol. 235(2), pages 1589-1624.
- Vazquez-Bare, Gonzalo, 2023. "Identification and estimation of spillover effects in randomized experiments," Journal of Econometrics, Elsevier, vol. 237(1).
- Jizhou Liu, 2023. "Inference for Two-stage Experiments under Covariate-Adaptive Randomization," Papers 2301.09016, arXiv.org, revised Oct 2024.
- Sarah Baird & Aislinn Bohren & Craig McIntosh & Berk Ozler, 2015. "Designing Experiments to Measure Spillover Effects, Second Version," PIER Working Paper Archive 15-021, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Jun 2015.
- James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
- Baylis, Kathy & Ham, Andres, 2015. "How important is spatial correlation in randomized controlled trials?," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205586, Agricultural and Applied Economics Association.
- List, John A. & Momeni, Fatemeh & Zenou, Yves, 2019. "Are Estimates of Early Education Programs Too Pessimistic? Evidence from a Large-Scale Field Experiment that Causally Measures Neighbor Effects," Working Paper Series 1293, Research Institute of Industrial Economics.
- MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023.
"Cluster-robust inference: A guide to empirical practice,"
Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
- Matthew D. Webb & James MacKinnon & Morten Nielsen, 2021. "Cluster–robust inference: A guide to empirical practice," Economics Virtual Symposium 2021 6, Stata Users Group.
- James MacKinnon & Morten Ørregaard Nielsen, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," CREATES Research Papers 2022-08, Department of Economics and Business Economics, Aarhus University.
- James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Papers 2205.03285, arXiv.org.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Working Paper 1456, Economics Department, Queen's University.
- Zenou, Yves & List, John & Momeni, Fatemeh, 2019. "Are Estimates of Early Education Programs Too Pessimistic? Evidence from a Large-Scale Field Experiment that Causally Measures," CEPR Discussion Papers 13725, C.E.P.R. Discussion Papers.
- MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023.
"Testing for the appropriate level of clustering in linear regression models,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 2027-2056.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Testing for the appropriate level of clustering in linear regression models," Working Paper 1428, Economics Department, Queen's University.
- James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2023. "Testing for the appropriate level of clustering in linear regression models," Papers 2301.04522, arXiv.org, revised Mar 2023.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2021.
"Wild Bootstrap and Asymptotic Inference With Multiway Clustering,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 505-519, March.
- James G. MacKinnon & Morten Ø. Nielsen & Matthew D. Webb, 2019. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," Working Paper 1415, Economics Department, Queen's University.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2020. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," CREATES Research Papers 2020-06, Department of Economics and Business Economics, Aarhus University.
- Heitzig, Chris & O’Keeffe-O’Donovan, Rossa, 2024. "Spillover Effects and Diffusion of Savings Groups," World Development, Elsevier, vol. 173(C).
- Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
- Djogbenou, Antoine A. & MacKinnon, James G. & Nielsen, Morten Ørregaard, 2019.
"Asymptotic theory and wild bootstrap inference with clustered errors,"
Journal of Econometrics, Elsevier, vol. 212(2), pages 393-412.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ø. Nielsen, 2018. "Asymptotic Theory And Wild Bootstrap Inference With Clustered Errors," Working Paper 1399, Economics Department, Queen's University.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2019. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," CREATES Research Papers 2019-05, Department of Economics and Business Economics, Aarhus University.
More about this item
JEL classification:
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
- H71 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Taxation, Subsidies, and Revenue
- H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance
- H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
- O23 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Fiscal and Monetary Policy in Development
NEP fields
This paper has been announced in the following NEP Reports:- NEP-EXP-2024-10-21 (Experimental Economics)
- NEP-IUE-2024-10-21 (Informal and Underground Economics)
- NEP-PBE-2024-10-21 (Public Economics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dls:wpaper:0337. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ana Pacheco (email available below). General contact details of provider: https://edirc.repec.org/data/funlpar.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.