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Matthew D Webb

Personal Details

First Name:Matthew
Middle Name:D
Last Name:Webb
Suffix:
RePEc Short-ID:pwe297
[This author has chosen not to make the email address public]
https://sites.google.com/site/matthewdwebb/
Twitter: @mattdwebb
Terminal Degree:2013 Economics Department; Queen's University (from RePEc Genealogy)

Affiliation

Department of Economics
Carleton University

Ottawa, Canada
http://www.carleton.ca/economics/

: (613) 520-3744
(613) 520-3906
1125 Colonel By Drive, Ottawa, Ontario, K1S 5B6
RePEc:edi:decarca (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. James G. MacKinnon & Matthew D. Webb, 2018. "Randomization Inference for Difference-in-Differences with Few Treated Clusters," Working Papers 1355, Queen's University, Department of Economics.
  2. James G. MacKinnon & Matthew D. Webb, 2018. "Wild Bootstrap Randomization Inference for Few Treated Clusters," Working Papers 1404, Queen's University, Department of Economics.
  3. Warman, Casey & Webb, Matthew D. & Worswick, Christopher, 2018. "Immigrant Category of Admission and the Earnings of Adults and Children: How far does the Apple Fall?," GLO Discussion Paper Series 196, Global Labor Organization (GLO).
  4. David Roodman & James G. MacKinnon & Morten Orregard Nielsen & Matthew D. Webb, 2018. "Fast and Wild: Bootstrap Inference in Stata Using boottest," Working Papers 1406, Queen's University, Department of Economics.
  5. James G. MacKinnon & Matthew D. Webb, 2017. "The Wild Bootstrap for Few (Treated) Clusters," Working Papers 1364, Queen's University, Department of Economics.
  6. James G. MacKinnon & Matthew D. Webb, 2017. "Pitfalls when Estimating Treatment Effects Using Clustered Data," Working Papers 1387, Queen's University, Department of Economics.
  7. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2017. "Bootstrap and Asymptotic Inference with Multiway Clustering," Working Papers 1386, Queen's University, Department of Economics.
  8. James G. MacKinnon & Matthew D. Webb, 2017. "The multiway cluster wild bootstrap," Canadian Stata Users' Group Meetings 2017 06, Stata Users Group.
  9. David B. Johnson & Matthew D. Webb, 2017. "An Experimental Test of the No Safety Schools Theorem," Carleton Economic Papers 17-10, Carleton University, Department of Economics.
  10. Webb, Matthew D. & Warman, Casey & Sweetman, Arthur, 2016. "Targeting Tax Relief at Youth Employment," IZA Discussion Papers 10182, Institute for the Study of Labor (IZA).
  11. Casey Warman & Christopher Worswick & Matthew Webb, 2016. "Immigrant Category of Admission of the Parents and Outcomes of the Children: How far does the Apple Fall?," CReAM Discussion Paper Series 1618, Centre for Research and Analysis of Migration (CReAM), Department of Economics, University College London.
  12. James G. MacKinnon & Matthew D. Webb, 2016. "The Subcluster Wild Bootstrap for Few (Treated) Clusters," Carleton Economic Papers 16-13, Carleton University, Department of Economics.
  13. David B. Johnson & Matthew D. Webb, 2016. "Decision Making with Risky, Rival Outcomes: Theory and Evidence," Carleton Economic Papers 16-12, Carleton University, Department of Economics.
  14. Brennan S. Thompson & Matthew D. Webb, 2015. "A Simple, Graphical Approach to Comparing Multiple Treatments," Working Papers 063, Ryerson University, Department of Economics, revised Mar 2017.
  15. James G. MacKinnon & Matthew D. Webb, 2015. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Working Papers 1314, Queen's University, Department of Economics.
  16. Matthew D. Webb, 2014. "Reworking Wild Bootstrap Based Inference for Clustered Errors," Working Papers 1315, Queen's University, Department of Economics.
  17. Matthew Webb & Arthur Sweetman & Casey Warman, 2014. "How Targeted is Targeted Tax Relief? Evidence from the Unemployment Insurance Youth Hires Program," Working Papers 1298, Queen's University, Department of Economics.
  18. Matthew Webb, "undated". "One Sided Matching: Choice Selection With Rival Uncertain Outcomes," Working Papers 2015-11, Department of Economics, University of Calgary, revised 08 Jul 2015.

Articles

  1. James G. Mackinnon & Matthew D. Webb, 2017. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 233-254, March.
  2. Matthew D. Webb & Arthur Sweetman & Casey Warman, 2016. "Targeting Tax Relief at Youth Employment," Canadian Public Policy, University of Toronto Press, vol. 42(4), pages 415-430, December.

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. James G. MacKinnon & Matthew D. Webb, 2018. "Randomization Inference for Difference-in-Differences with Few Treated Clusters," Working Papers 1355, Queen's University, Department of Economics.

    Cited by:

    1. Ferman, Bruno & Pinto, Cristine Campos de Xavier, 2015. "Inference in differences-in-differences with few treated groups and heteroskedasticity," Textos para discussão 406, FGV/EESP - Escola de Economia de São Paulo, Getulio Vargas Foundation (Brazil).
    2. Heiko T. Burret & Lars P. Feld, 2014. "Vertical Effects of Fiscal Rules - The Swiss Experience," CESifo Working Paper Series 5043, CESifo Group Munich.
    3. James G. MacKinnon & Matthew D. Webb, 2015. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Working Papers 1314, Queen's University, Department of Economics.
    4. Simon Heß, 2017. "Randomization inference with Stata: A guide and software," Stata Journal, StataCorp LP, vol. 17(3), pages 630-651, September.
    5. James G. MacKinnon & Matthew D. Webb, 2017. "Pitfalls when Estimating Treatment Effects Using Clustered Data," Working Papers 1387, Queen's University, Department of Economics.
    6. MacKinnon, James G. & Webb, Matthew D., 2017. "Pitfalls when Estimating Treatment Effects Using Clustered Data," Queen's Economics Department Working Papers 274713, Queen's University - Department of Economics.
    7. MacKinnon, James G. & Webb, Matthew D., 2015. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Queen's Economics Department Working Papers 274639, Queen's University - Department of Economics.
    8. Timothy J. Bartik & Nathan Sotherland, 2015. "Migration and Housing Price Effects of Place-Based College Scholarships," Upjohn Working Papers and Journal Articles 15-245, W.E. Upjohn Institute for Employment Research.
    9. Christopher S. Carpenter & Emily C. Lawler, 2017. "Direct and Spillover Effects of Middle School Vaccination Requirements," NBER Working Papers 23107, National Bureau of Economic Research, Inc.
    10. Masayoshi Hayashi, 2017. "Do Central Grants Affect Welfare Caseloads? Evidence from Public Assistance in Japan," CIRJE F-Series CIRJE-F-1064, CIRJE, Faculty of Economics, University of Tokyo.

  2. James G. MacKinnon & Matthew D. Webb, 2018. "Wild Bootstrap Randomization Inference for Few Treated Clusters," Working Papers 1404, Queen's University, Department of Economics.

    Cited by:

    1. Djogbenou, Antoine A. & MacKinnon, James G. & Orregaard Nielsen, Morten, 2018. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," Queen's Economics Department Working Papers 274725, Queen's University - Department of Economics.
    2. Antoine A. Djogbenou & James G. MacKinnon & Morten Orregard Nielsen, 2018. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," Working Papers 1399, Queen's University, Department of Economics.

  3. James G. MacKinnon & Matthew D. Webb, 2017. "The Wild Bootstrap for Few (Treated) Clusters," Working Papers 1364, Queen's University, Department of Economics.

    Cited by:

    1. Brantly Callaway & Pedro H. C. Sant'Anna, 2018. "Difference-in-Differences with Multiple Time Periods and an Application on the Minimum Wage and Employment," DETU Working Papers 1804, Department of Economics, Temple University.
    2. von Hippel, Paul T. & Bellows, Laura, 2018. "How much does teacher quality vary across teacher preparation programs? Reanalyses from six states," Economics of Education Review, Elsevier, vol. 64(C), pages 298-312.
    3. Djogbenou, Antoine & MacKinnon, James G. & Orregaard Nielsen, Morten, 2017. "Validity of Wild Bootstrap Inference with Clustered Errors," Queen's Economics Department Working Papers 274709, Queen's University - Department of Economics.
    4. Dustan, Andrew & Ngo, Diana K.L., 2018. "Commuting to educational opportunity? School choice effects of mass transit expansion in Mexico City," Economics of Education Review, Elsevier, vol. 63(C), pages 116-133.
    5. Djogbenou, Antoine A. & MacKinnon, James G. & Orregaard Nielsen, Morten, 2018. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," Queen's Economics Department Working Papers 274725, Queen's University - Department of Economics.
    6. James G. MacKinnon & Matthew D. Webb, 2017. "Pitfalls when Estimating Treatment Effects Using Clustered Data," Working Papers 1387, Queen's University, Department of Economics.
    7. MacKinnon, James G. & Webb, Matthew D., 2017. "Pitfalls when Estimating Treatment Effects Using Clustered Data," Queen's Economics Department Working Papers 274713, Queen's University - Department of Economics.
    8. Antoine A. Djogbenou & James G. MacKinnon & Morten Orregard Nielsen, 2018. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," Working Papers 1399, Queen's University, Department of Economics.
    9. Antoine Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2017. "Validity of Wild Bootstrap Inference with Clustered Errors," Working Papers 1383, Queen's University, Department of Economics.

  4. James G. MacKinnon & Matthew D. Webb, 2017. "Pitfalls when Estimating Treatment Effects Using Clustered Data," Working Papers 1387, Queen's University, Department of Economics.

    Cited by:

    1. David Roodman & James G. MacKinnon & Morten Orregard Nielsen & Matthew D. Webb, 2018. "Fast and Wild: Bootstrap Inference in Stata Using boottest," Working Papers 1406, Queen's University, Department of Economics.
    2. Djogbenou, Antoine A. & MacKinnon, James G. & Orregaard Nielsen, Morten, 2018. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," Queen's Economics Department Working Papers 274725, Queen's University - Department of Economics.
    3. Antoine A. Djogbenou & James G. MacKinnon & Morten Orregard Nielsen, 2018. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," Working Papers 1399, Queen's University, Department of Economics.

  5. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2017. "Bootstrap and Asymptotic Inference with Multiway Clustering," Working Papers 1386, Queen's University, Department of Economics.

    Cited by:

    1. David Roodman & James G. MacKinnon & Morten Orregard Nielsen & Matthew D. Webb, 2018. "Fast and Wild: Bootstrap Inference in Stata Using boottest," Working Papers 1406, Queen's University, Department of Economics.
    2. Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2018. "The wild bootstrap with a "small" number of "large" clusters," CeMMAP working papers CWP27/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Laurent Davezies & Xavier D'Haultfoeuille & Yannick Guyonvarch, 2018. "Asymptotic results under multiway clustering," Papers 1807.07925, arXiv.org, revised Aug 2018.
    4. James G. MacKinnon & Matthew D. Webb, 2017. "Pitfalls when Estimating Treatment Effects Using Clustered Data," Working Papers 1387, Queen's University, Department of Economics.
    5. MacKinnon, James G. & Webb, Matthew D., 2017. "Pitfalls when Estimating Treatment Effects Using Clustered Data," Queen's Economics Department Working Papers 274713, Queen's University - Department of Economics.

  6. David B. Johnson & Matthew D. Webb, 2016. "Decision Making with Risky, Rival Outcomes: Theory and Evidence," Carleton Economic Papers 16-12, Carleton University, Department of Economics.

    Cited by:

    1. Johnson, David & Ryan, John, 2018. "Amazon Mechanical Turk Workers Can Provide Consistent and Economically Meaningful Data," MPRA Paper 88450, University Library of Munich, Germany.
    2. Gibson, John & Johnson, David, 2018. "The Economic Relevancy of Risk Preferences Elicited Online and With Low Stakes," MPRA Paper 87231, University Library of Munich, Germany.
    3. David B. Johnson & Matthew D. Webb, 2017. "An Experimental Test of the No Safety Schools Theorem," Carleton Economic Papers 17-10, Carleton University, Department of Economics.

  7. James G. MacKinnon & Matthew D. Webb, 2015. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Working Papers 1314, Queen's University, Department of Economics.

    Cited by:

    1. MacKinnon, James G. & Orregaard Nielsen, Morten & Webb, Matthew D., 2017. "Bootstrap and Asymptotic Inference with Multiway Clustering," Queen's Economics Department Working Papers 274712, Queen's University - Department of Economics.
    2. James G. MacKinnon, 2014. "Wild cluster bootstrap confidence intervals," Working Papers 1329, Queen's University, Department of Economics.
    3. Hollingsworth, Bruce & Ohinata, Asako & Picchio, Matteo & Walker, Ian, 2017. "Labour Supply and Informal Care Supply: The Impacts of Financial Support for Long-Term Elderly Care," IZA Discussion Papers 10988, Institute for the Study of Labor (IZA).
    4. Ferman, Bruno & Pinto, Cristine Campos de Xavier, 2015. "Inference in differences-in-differences with few treated groups and heteroskedasticity," Textos para discussão 406, FGV/EESP - Escola de Economia de São Paulo, Getulio Vargas Foundation (Brazil).
    5. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2017. "Bootstrap and Asymptotic Inference with Multiway Clustering," Working Papers 1386, Queen's University, Department of Economics.
    6. Asako Ohinata & Matteo Picchio, 2015. "The financial support for long-term elderly care and household savings behaviour," Discussion Papers in Economics 15/17, Department of Economics, University of Leicester.
    7. Webb, Matthew D. & Warman, Casey & Sweetman, Arthur, 2016. "Targeting Tax Relief at Youth Employment," IZA Discussion Papers 10182, Institute for the Study of Labor (IZA).
    8. Corinna Ghirelli, 2015. "Scars of early non-employment for low educated youth: evidence and policy lessons from Belgium," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-34, December.
    9. Heiko T. Burret & Lars P. Feld, 2014. "Vertical Effects of Fiscal Rules - The Swiss Experience," CESifo Working Paper Series 5043, CESifo Group Munich.
    10. Djogbenou, Antoine & MacKinnon, James G. & Orregaard Nielsen, Morten, 2017. "Validity of Wild Bootstrap Inference with Clustered Errors," Queen's Economics Department Working Papers 274709, Queen's University - Department of Economics.
    11. Gallet, Craig A. & Doucouliagos, Hristos, 2014. "The income elasticity of air travel: a meta-analysis," Working Papers eco_2014_6, Deakin University, Department of Economics.
    12. 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.
    13. Joan Monras, 2015. "Immigration and Wage Dynamics: Evidence from the Mexican Peso Crisis," Working Papers hal-01127022, HAL.
    14. Marco Gonzalez-Navarro & Climent Quintana-Domeque, 2016. "Paving Streets for the Poor: Experimental Analysis of Infrastructure Effects," The Review of Economics and Statistics, MIT Press, vol. 98(2), pages 254-267, May.
    15. David Powell, 2017. "Inference with Correlated Clusters," Working Papers WR-1137-1, RAND Corporation.
    16. Drange, Nina & Telle, Kjetil, 2015. "Promoting integration of immigrants: Effects of free child care on child enrollment and parental employment," Labour Economics, Elsevier, vol. 34(C), pages 26-38.
    17. Jungbin Hwang, 2017. "Simple and Trustworthy Cluster-Robust GMM Inference," Working papers 2017-19, University of Connecticut, Department of Economics.
    18. Simon Heß, 2017. "Randomization inference with Stata: A guide and software," Stata Journal, StataCorp LP, vol. 17(3), pages 630-651, September.
    19. Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2018. "The wild bootstrap with a "small" number of "large" clusters," CeMMAP working papers CWP27/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    20. Brewer, Mike & Crossley, Thomas F. & Joyce, Robert, 2013. "Inference with Difference-in-Differences Revisited," IZA Discussion Papers 7742, Institute for the Study of Labor (IZA).
    21. Kai Gehring & T. Florian Kauffeldt & Krishna Chaitanya Vadlamannati, 2015. "Crime, Incentives and Political Effort: A Model and Empirical Application for India," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 170, Courant Research Centre PEG.
    22. Philip Oreopoulos & Robert S. Brown & Adam M. Lavecchia, 2014. "Pathways to Education: An Integrated Approach to Helping At-Risk High School Students," NBER Working Papers 20430, National Bureau of Economic Research, Inc.
    23. Djogbenou, Antoine A. & MacKinnon, James G. & Orregaard Nielsen, Morten, 2018. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," Queen's Economics Department Working Papers 274725, Queen's University - Department of Economics.
    24. Tatyana Deryugina & David Molitor, 2018. "Does When You Die Depend on Where You Live? Evidence from Hurricane Katrina," NBER Working Papers 24822, National Bureau of Economic Research, Inc.
    25. Corinna.Ghirelli, 2014. "The scarring effect of early non-employment," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 14/895, Ghent University, Faculty of Economics and Business Administration.
    26. Peter Egger & Michael Pfaffermayr, 2016. "A generalized spatial error components model for gravity equations," Empirical Economics, Springer, vol. 50(1), pages 177-195, February.
    27. Dario Fauceglia & Andrea Lassmann & Anirudh Shingal & Martin Wermelinger, 2018. "Backward participation in global value chains and exchange rate driven adjustments of Swiss exports," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 154(3), pages 537-584, August.
    28. Burret, Heiko T. & Feld, Lars P., 2018. "(Un-)intended effects of fiscal rules," European Journal of Political Economy, Elsevier, vol. 52(C), pages 166-191.
    29. Luca Aguzzoni & Benno Buehler & Luca Martile & Ron Kemp & Anton Schwarz, 2018. "Ex-post Analysis of Mobile Telecom Mergers: The Case of Austria and The Netherlands," De Economist, Springer, vol. 166(1), pages 63-87, March.
    30. Amodio, Francesco & De Giorgi, Giacomo & Rahman, Aminur, 2018. "Bribes vs. Taxes: Market Structure and Incentives," CEPR Discussion Papers 13055, C.E.P.R. Discussion Papers.
    31. Abdurrahman Aydemir & Murat G. Kirdar, 2017. "Low Wage Returns to Schooling in a Developing Country: Evidence from a Major Policy Reform in Turkey," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(6), pages 1046-1086, December.
    32. MacKinnon, James G., 2014. "Wild cluster bootstrap confidence intervals," Queen's Economics Department Working Papers 274655, Queen's University - Department of Economics.
    33. Rachael Meager, 2015. "Understanding the Impact of Microcredit Expansions: A Bayesian Hierarchical Analysis of 7 Randomised Experiments," Papers 1506.06669, arXiv.org, revised Jul 2016.
    34. Eli Berman & Mitch Downey & Joseph Felter, 2016. "Expanding Governance as Development: Evidence on Child Nutrition in the Philippines," NBER Working Papers 21849, National Bureau of Economic Research, Inc.
    35. Matthew D. Webb, 2014. "Reworking Wild Bootstrap Based Inference for Clustered Errors," Working Papers 1315, Queen's University, Department of Economics.
    36. James G. MacKinnon & Matthew D. Webb, 2017. "Pitfalls when Estimating Treatment Effects Using Clustered Data," Working Papers 1387, Queen's University, Department of Economics.
    37. MacKinnon, James G. & Webb, Matthew D., 2017. "Pitfalls when Estimating Treatment Effects Using Clustered Data," Queen's Economics Department Working Papers 274713, Queen's University - Department of Economics.
    38. Gupta, Dhruv & Sriram, Karthik, 2018. "Impact of security expenditures in military alliances on violence from non-state actors: Evidence from India," World Development, Elsevier, vol. 107(C), pages 338-357.
    39. Antoine A. Djogbenou & James G. MacKinnon & Morten Orregard Nielsen, 2018. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," Working Papers 1399, Queen's University, Department of Economics.
    40. Christian Dippel & Avner Greif & Daniel Trefler, 2015. "Outside Options, Coercion, and Wages: Removing the Sugar Coating," NBER Working Papers 20958, National Bureau of Economic Research, Inc.
    41. Davidson, Kelly A. & Kropp, Jaclyn D. & Mullally, Conner C. & Rahman, M. Wakilur, 2018. "Behavioral Nudges and Nutrition Education in Bangladesh: Experimental Evidence Comparing Food Choices in a Lab Setting to Decisions at Home," 2018 Annual Meeting, August 5-7, Washington, D.C. 274134, Agricultural and Applied Economics Association.
    42. Cagdas Agirdas, 2016. "How did medicaid expansions affect labor supply and welfare enrollment? Evidence from the early 2000s," Health Economics Review, Springer, vol. 6(1), pages 1-16, December.
    43. Moscone, F. & Tosetti, Elisa, 2015. "Robust estimation under error cross section dependence," Economics Letters, Elsevier, vol. 133(C), pages 100-104.
    44. Antoine Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2017. "Validity of Wild Bootstrap Inference with Clustered Errors," Working Papers 1383, Queen's University, Department of Economics.

  8. Matthew D. Webb, 2014. "Reworking Wild Bootstrap Based Inference for Clustered Errors," Working Papers 1315, Queen's University, Department of Economics.

    Cited by:

    1. Makram El-Shagi & Claus Michelsen & Sebastian Rosenschon, 2014. "Regulation, Innovation and Technology Diffusion: Evidence from Building Energy Efficiency Standards in Germany," Discussion Papers of DIW Berlin 1371, DIW Berlin, German Institute for Economic Research.
    2. Nicolas Moreau, 2018. "A SAS macro for estimation and inference in differences-in-differences applications with within cluster correlation and cluster-corrections for a few clusters," Working Papers hal-01691476, HAL.
    3. Tegawa, Mihoko & Uchida, Hirotsugu, 2015. "Do Management Systems Foster Social Capital? Empirical Evidence from Japanese Surf Clam Fisheries," MPRA Paper 64996, University Library of Munich, Germany.
    4. MacKinnon, James G. & Orregaard Nielsen, Morten & Webb, Matthew D., 2017. "Bootstrap and Asymptotic Inference with Multiway Clustering," Queen's Economics Department Working Papers 274712, Queen's University - Department of Economics.
    5. Hollingsworth, Bruce & Ohinata, Asako & Picchio, Matteo & Walker, Ian, 2017. "Labour Supply and Informal Care Supply: The Impacts of Financial Support for Long-Term Elderly Care," IZA Discussion Papers 10988, Institute for the Study of Labor (IZA).
    6. Paul, Annemarie, 2015. "After work shopping? Employment effects of a deregulation of shop opening hours in the German retail sector," European Economic Review, Elsevier, vol. 80(C), pages 329-353.
    7. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2017. "Bootstrap and Asymptotic Inference with Multiway Clustering," Working Papers 1386, Queen's University, Department of Economics.
    8. Asako Ohinata & Matteo Picchio, 2015. "The financial support for long-term elderly care and household savings behaviour," Discussion Papers in Economics 15/17, Department of Economics, University of Leicester.
    9. Webb, Matthew D. & Warman, Casey & Sweetman, Arthur, 2016. "Targeting Tax Relief at Youth Employment," IZA Discussion Papers 10182, Institute for the Study of Labor (IZA).
    10. Ernesto Dal Bó & Pedro Dal Bó & Erik Eyster, 2016. "The Demand for Bad Policy when Voters Underappreciate Equilibrium Effects," NBER Working Papers 22916, National Bureau of Economic Research, Inc.
    11. David Roodman & James G. MacKinnon & Morten Orregard Nielsen & Matthew D. Webb, 2018. "Fast and Wild: Bootstrap Inference in Stata Using boottest," Working Papers 1406, Queen's University, Department of Economics.
    12. 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.
    13. James G. MacKinnon & Matthew D. Webb, 2015. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Working Papers 1314, Queen's University, Department of Economics.
    14. Michelsen, Claus & El-Shagi, Makram & Rosenschon, Sebastian, 2016. "The diffusion of "green'' buildings in the housing market: empirics on the long run effects of energy efficiency regulation," Annual Conference 2016 (Augsburg): Demographic Change 145534, Verein für Socialpolitik / German Economic Association.
    15. Stefan Bauernschuster & Timo Hener & Helmut Rainer, 2017. "When Labor Disputes Bring Cities to a Standstill: The Impact of Public Transit Strikes on Traffic, Accidents, Air Pollution, and Health," American Economic Journal: Economic Policy, American Economic Association, vol. 9(1), pages 1-37, February.
    16. David Powell, 2017. "Inference with Correlated Clusters," Working Papers WR-1137-1, RAND Corporation.
    17. Hill, Andrew J., 2017. "The positive influence of female college students on their male peers," Labour Economics, Elsevier, vol. 44(C), pages 151-160.
    18. Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2018. "The wild bootstrap with a "small" number of "large" clusters," CeMMAP working papers CWP27/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Brewer, Mike & Crossley, Thomas F. & Joyce, Robert, 2013. "Inference with Difference-in-Differences Revisited," IZA Discussion Papers 7742, Institute for the Study of Labor (IZA).
    20. Hardardottir, Hjördis, 2016. "Long Term Stability of Time Preferences and the Role of the Macroeconomic Situation," Working Papers 2016:5, Lund University, Department of Economics, revised 29 Aug 2016.
    21. Åslund, Olof & Engdahl, Mattias, 2013. "The value of earning for learning: Performance bonuses in immigrant language training," Working Paper Series, Center for Labor Studies 2013:1, Uppsala University, Department of Economics.
    22. BenYishay, Ariel & Grosjean, Pauline & Vecci, Joe, 2017. "The fish is the friend of matriliny: Reef density and matrilineal inheritance," Journal of Development Economics, Elsevier, vol. 127(C), pages 234-249.
    23. El-Shagi, Makram & von Schweinitz, Gregor, 2016. "The joint dynamics of sovereign ratings and government bond yields," Discussion Papers 13/2016, Deutsche Bundesbank.
    24. Jeremy Edwards & Sheilagh Ogilvie, 2018. "Did the Black Death Cause Economic Development by "Inventing" Fertility Restriction?," CESifo Working Paper Series 7016, CESifo Group Munich.
    25. David Powell, 2016. "Synthetic Control Estimation Beyond Case Studies Does the Minimum Wage Reduce Employment?," Working Papers WR-1142, RAND Corporation.
    26. BHARADWAJ, Prachant & LAKDAWALA, Leah K. & LI, Nicholas, 2016. "Perverse Consequences Of Well-Intentioned Regulation: Evidence From India’S Child Labor Ban," Discussion paper series HIAS-E-25, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    27. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Two-Step Estimation and Inference with Possibly Many Included Covariates," Papers 1807.10100, arXiv.org.
    28. James G. MacKinnon & Matthew D. Webb, 2017. "Pitfalls when Estimating Treatment Effects Using Clustered Data," Working Papers 1387, Queen's University, Department of Economics.
    29. MacKinnon, James G. & Webb, Matthew D., 2017. "Pitfalls when Estimating Treatment Effects Using Clustered Data," Queen's Economics Department Working Papers 274713, Queen's University - Department of Economics.
    30. Kai Gehring & Stephan A. Schneider, 2018. "Towards the Greater Good? EU Commissioners' Nationality and Budget Allocation in the European Union," American Economic Journal: Economic Policy, American Economic Association, vol. 10(1), pages 214-239, February.
    31. MacKinnon, James G. & Webb, Matthew D., 2015. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Queen's Economics Department Working Papers 274639, Queen's University - Department of Economics.
    32. Ariel BenYishay & Pauline Grosjean & Joseph Vecci, 2015. "The Fish is the Friend of Matriliny: Reef Density Predicts Matrilineal Inheritance," Discussion Papers 2015-21, School of Economics, The University of New South Wales.
    33. Samantha B. Rawlings, 2016. "Gender, Race, and Heterogeneous Effects of Epidemic Malaria on Human Capital and Income," Economic Development and Cultural Change, University of Chicago Press, vol. 64(3), pages 509-543.

Articles

  1. James G. Mackinnon & Matthew D. Webb, 2017. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 233-254, March.
    See citations under working paper version above.Sorry, no citations of articles recorded.

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This author is among the top 5% authors according to these criteria:
  1. Number of Abstract Views in RePEc Services over the past 12 months
  2. Number of Downloads through RePEc Services over the past 12 months
  3. Number of Abstract Views in RePEc Services over the past 12 months, Weighted by Number of Authors
  4. Number of Downloads through RePEc Services over the past 12 months, Weighted by Number of Authors

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 20 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (8) 2013-08-23 2013-08-31 2016-02-23 2016-07-16 2016-09-11 2017-08-27 2017-10-08 2018-04-02. Author is listed
  2. NEP-EXP: Experimental Economics (3) 2015-07-18 2016-09-18 2017-09-17
  3. NEP-SOG: Sociology of Economics (3) 2016-09-18 2016-09-18 2016-09-18
  4. NEP-UPT: Utility Models & Prospect Theory (3) 2015-07-18 2016-09-18 2017-09-17
  5. NEP-CBE: Cognitive & Behavioural Economics (2) 2015-07-18 2016-09-18
  6. NEP-LAB: Labour Economics (2) 2016-09-04 2016-10-30
  7. NEP-MIG: Economics of Human Migration (2) 2016-10-30 2018-05-07
  8. NEP-ORE: Operations Research (2) 2017-08-27 2017-09-24
  9. NEP-DEM: Demographic Economics (1) 2016-10-30
  10. NEP-EDU: Education (1) 2018-05-07
  11. NEP-GER: German Papers (1) 2016-07-16
  12. NEP-GTH: Game Theory (1) 2015-07-18
  13. NEP-IAS: Insurance Economics (1) 2012-10-27
  14. NEP-PBE: Public Economics (1) 2016-09-04

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