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Michael Jansson

Personal Details

First Name:Michael
Middle Name:
Last Name:Jansson
Suffix:
RePEc Short-ID:pja19
[This author has chosen not to make the email address public]
http://www.econ.berkeley.edu/~mjansson
Terminal Degree:2000 Institut for Økonomi; Aarhus Universitet (from RePEc Genealogy)

Affiliation

(75%) Department of Economics
University of California-Berkeley

Berkeley, California (United States)
http://emlab.berkeley.edu/econ/
RePEc:edi:debrkus (more details at EDIRC)

(25%) Center for Research in Econometric Analysis of Time Series (CREATES)
Institut for Økonomi
Aarhus Universitet

Aarhus, Denmark
http://www.creates.au.dk/
RePEc:edi:creaudk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software Editorship

Working papers

  1. Matias D. Cattaneo & Michael Jansson & Kenichi Nagasawa, 2023. "Bootstrap-Assisted Inference for Generalized Grenander-type Estimators," Papers 2303.13598, arXiv.org, revised Jan 2024.
  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. Matias D. Cattaneo & Rajita Chandak & Michael Jansson & Xinwei Ma, 2022. "Boundary Adaptive Local Polynomial Conditional Density Estimators," Papers 2204.10359, arXiv.org, revised Dec 2023.
  4. 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.
  5. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2020. "Local Regression Distribution Estimators," Papers 2009.14367, arXiv.org, revised Jan 2021.
  6. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2019. "lpdensity: Local Polynomial Density Estimation and Inference," Papers 1906.06529, arXiv.org, revised Feb 2021.
  7. Matias D. Cattaneo & Michael Jansson, 2019. "Average Density Estimators: Efficiency and Bootstrap Consistency," Papers 1904.09372, arXiv.org, revised Dec 2020.
  8. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Two-Step Estimation and Inference with Possibly Many Included Covariates," Papers 1807.10100, arXiv.org.
  9. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Simple Local Polynomial Density Estimators," Papers 1811.11512, arXiv.org, revised Jun 2019.
  10. Matias D. Cattaneo & Michael Jansson & Kenichi Nagasawa, 2017. "Bootstrap-Based Inference for Cube Root Asymptotics," Papers 1704.08066, arXiv.org, revised May 2020.
  11. Michael Jansson & Demian Pouzo, 2017. "Towards a General Large Sample Theory for Regularized Estimators," Papers 1712.07248, arXiv.org, revised Jul 2020.
  12. 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.
  13. 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.
  14. 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.
  15. Matias D. Cattaneo & Michael Jansson, 2014. "Bootstrapping Kernel-Based Semiparametric Estimators," CREATES Research Papers 2014-25, Department of Economics and Business Economics, Aarhus University.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.

    repec:ags:quedwp:274617 is not listed on IDEAS
    repec:ags:quedwp:273699 is not listed on IDEAS
    repec:ags:quedwp:273720 is not listed on IDEAS
  30. 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.

Articles

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. Jansson, Michael & Taylor, Robert, 2018. "Special Issue Of Econometric Theory In Honor Of Professor Richard J. Smith: Guest Editors’ Introduction," Econometric Theory, Cambridge University Press, vol. 34(2), pages 247-252, April.
  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.
  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.
  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.
  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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. Michael Jansson, 2008. "Semiparametric Power Envelopes for Tests of the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 76(5), pages 1103-1142, September.
  23. Chernozhukov, Victor & Hansen, Christian & Jansson, Michael, 2007. "Inference approaches for instrumental variable quantile regression," Economics Letters, Elsevier, vol. 95(2), pages 272-277, May.
  24. 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.
  25. 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.
  26. Jansson, Michael, 2005. "Point optimal tests of the null hypothesis of cointegration," Journal of Econometrics, Elsevier, vol. 124(1), pages 187-201, January.
  27. Jansson, Michael, 2004. "03.6.2. Unbiasedness of the OLS Estimator with Random Regressors—Solution," Econometric Theory, Cambridge University Press, vol. 20(6), pages 1263-1264, December.
  28. Jansson, Michael, 2004. "Stationarity Testing With Covariates," Econometric Theory, Cambridge University Press, vol. 20(1), pages 56-94, February.
  29. Michael Jansson, 2004. "The Error in Rejection Probability of Simple Autocorrelation Robust Tests," Econometrica, Econometric Society, vol. 72(3), pages 937-946, May.
  30. Jansson, Michael, 2003. "03.6.2. Unbiasedness of the OLS Estimator with Random Regressors," Econometric Theory, Cambridge University Press, vol. 19(6), pages 1195-1195, December.
  31. Elliott, Graham & Jansson, Michael, 2003. "Testing for unit roots with stationary covariates," Journal of Econometrics, Elsevier, vol. 115(1), pages 75-89, July.
  32. Jansson, Michael, 2002. "Consistent Covariance Matrix Estimation For Linear Processes," Econometric Theory, Cambridge University Press, vol. 18(6), pages 1449-1459, December.
  33. Jansson, Michael & Haldrup, Niels, 2002. "Regression Theory For Nearly Cointegrated Time Series," Econometric Theory, Cambridge University Press, vol. 18(6), pages 1309-1335, December.
  34. L. J. Tranvik & M. Jansson, 2002. "Terrestrial export of organic carbon," Nature, Nature, vol. 415(6874), pages 861-862, February.

Software components

  1. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2022. "LPDENSITY: Stata module to perform Local Polynomial Density Estimation and Inference," Statistical Software Components S459095, Boston College Department of Economics.
  2. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2022. "RDDENSITY: Stata module to perform Manipulation Testing Using Local Polynomial Density Estimation," Statistical Software Components S459094, Boston College Department of Economics.

Editorship

  1. The Econometrics Journal, Royal Economic Society.
  2. Econometrics Journal, Royal Economic Society.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Rankings

This author is among the top 5% authors according to these criteria:
  1. Average Rank Score
  2. Number of Distinct Works, Weighted by Simple Impact Factor
  3. Number of Distinct Works, Weighted by Recursive Impact Factor
  4. Number of Distinct Works, Weighted by Number of Authors and Simple Impact Factors
  5. Number of Distinct Works, Weighted by Number of Authors and Recursive Impact Factors
  6. Number of Citations, Discounted by Citation Age
  7. Number of Citations, Weighted by Simple Impact Factor
  8. Number of Citations, Weighted by Simple Impact Factor, Discounted by Citation Age
  9. Number of Citations, Weighted by Recursive Impact Factor
  10. Number of Citations, Weighted by Recursive Impact Factor, Discounted by Citation Age
  11. Number of Citations, Weighted by Number of Authors, Discounted by Citation Age
  12. Number of Citations, Weighted by Number of Authors and Simple Impact Factors
  13. Number of Citations, Weighted by Number of Authors and Simple Impact Factors, Discounted by Citation Age
  14. Number of Citations, Weighted by Number of Authors and Recursive Impact Factors
  15. Number of Citations, Weighted by Number of Authors and Recursive Impact Factors, Discounted by Citation Age
  16. Number of Journal Pages, Weighted by Simple Impact Factor
  17. Number of Journal Pages, Weighted by Recursive Impact Factor
  18. Number of Journal Pages, Weighted by Number of Authors and Simple Impact Factors
  19. Number of Journal Pages, Weighted by Number of Authors and Recursive Impact Factors
  20. Breadth of citations across fields
  21. Wu-Index
  22. Record of graduates

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 29 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 (27) 2000-10-05 2004-04-11 2004-11-22 2008-06-27 2008-06-27 2008-06-27 2009-09-19 2009-10-10 2009-12-05 2010-05-29 2010-06-11 2011-05-07 2012-02-08 2012-09-30 2014-09-05 2015-08-13 2017-12-18 2018-01-22 2018-08-27 2018-12-17 2019-04-29 2019-06-24 2020-05-18 2020-10-19 2022-05-23 2023-02-06 2023-04-24. Author is listed
  2. NEP-ETS: Econometric Time Series (11) 1999-05-03 2000-10-05 2004-04-11 2004-11-22 2008-06-27 2008-06-27 2009-09-19 2009-10-10 2009-12-05 2012-09-30 2020-05-18. Author is listed
  3. NEP-ORE: Operations Research (4) 2010-05-29 2014-09-05 2015-08-13 2020-05-18
  4. NEP-BIG: Big Data (2) 2018-01-22 2020-01-06
  5. NEP-EFF: Efficiency and Productivity (1) 2019-04-29

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