IDEAS home Printed from https://ideas.repec.org/f/pca473.html
   My authors  Follow this author

Matias D. Cattaneo

Personal Details

First Name:Matias
Middle Name:D.
Last Name:Cattaneo
Suffix:
RePEc Short-ID:pca473
[This author has chosen not to make the email address public]
https://cattaneo.princeton.edu
Terminal Degree:2008 Department of Economics; University of California-Berkeley (from RePEc Genealogy)

Affiliation

Department of Operations Research and Financial Engineering (ORFE)
Princeton University

Princeton, New Jersey (United States)
http://orfe.princeton.edu/
RePEc:edi:doprius (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software Chapters Books

Working papers

  1. Matias D. Cattaneo & Ruiqi Rae Yu, 2024. "Strong Approximations for Empirical Processes Indexed by Lipschitz Functions," Papers 2406.04191, arXiv.org, revised Nov 2024.
  2. Matias Cattaneo & Richard K. Crump & Weining Wang, 2024. "Beta-sorted portfolios," CeMMAP working papers 20/24, Institute for Fiscal Studies.
  3. Matias D. Cattaneo & Yingjie Feng & Boris Shigida, 2024. "Uniform Estimation and Inference for Nonparametric Partitioning-Based M-Estimators," Papers 2409.05715, arXiv.org.
  4. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2024. "Nonlinear Binscatter Methods," Papers 2407.15276, arXiv.org.
  5. Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu, 2023. "Context-Dependent Heterogeneous Preferences: A Comment on Barseghyan and Molinari (2023)," Papers 2305.10934, arXiv.org.
  6. Matias D. Cattaneo & Michael Jansson & Kenichi Nagasawa, 2023. "Bootstrap-Assisted Inference for Generalized Grenander-type Estimators," Papers 2303.13598, arXiv.org, revised Jul 2024.
  7. Matias D. Cattaneo & Nicolas Idrobo & Rocio Titiunik, 2023. "A Practical Introduction to Regression Discontinuity Designs: Extensions," Papers 2301.08958, arXiv.org, revised Mar 2024.
  8. Matias D. Cattaneo & Fang Han & Zhexiao Lin, 2023. "On Rosenbaum's Rank-based Matching Estimator," Papers 2312.07683, arXiv.org, revised Jan 2024.
  9. Matias D. Cattaneo & Luke Keele & Rocio Titiunik, 2023. "A Guide to Regression Discontinuity Designs in Medical Applications," Papers 2302.07413, arXiv.org, revised May 2023.
  10. 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.
  11. 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.
  12. Matias D. Cattaneo & Yingjie Feng & Filippo Palomba & Rocio Titiunik, 2022. "Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption," Papers 2210.05026, arXiv.org, revised Oct 2024.
  13. Matias D. Cattaneo & Ricardo P. Masini & William G. Underwood, 2022. "Yurinskii's Coupling for Martingales," Papers 2210.00362, arXiv.org, revised Sep 2024.
  14. Matias D. Cattaneo & Yingjie Feng & Filippo Palomba & Rocio Titiunik, 2022. "scpi: Uncertainty Quantification for Synthetic Control Methods," Papers 2202.05984, arXiv.org, revised Oct 2022.
  15. Matias D. Cattaneo & Richard K. Crump & Weining Wang, 2022. "Beta-Sorted Portfolios," Papers 2208.10974, arXiv.org, revised Nov 2024.
  16. Matias D. Cattaneo, 2022. "On binscatter: binscatter plots," Economics Virtual Symposium 2022 06, Stata Users Group.
  17. Matias D. Cattaneo & Luke Keele & Rocio Titiunik, 2021. "Covariate Adjustment in Regression Discontinuity Designs," Papers 2110.08410, arXiv.org, revised Aug 2022.
  18. Matias D. Cattaneo & Paul Cheung & Xinwei Ma & Yusufcan Masatlioglu, 2021. "Attention Overload," Papers 2110.10650, arXiv.org, revised Sep 2024.
  19. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2020. "Local Regression Distribution Estimators," Papers 2009.14367, arXiv.org, revised Jan 2021.
  20. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "On Binscatter," Papers 1902.09608, arXiv.org, revised Apr 2024.
    • Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2024. "On Binscatter," American Economic Review, American Economic Association, vol. 114(5), pages 1488-1514, May.
  21. Matias D. Cattaneo & Rocio Titiunik & Gonzalo Vazquez-Bare, 2019. "The Regression Discontinuity Design," Papers 1906.04242, arXiv.org, revised Jun 2020.
  22. Matias D. Cattaneo & Max H. Farrell & Yingjie Feng, 2019. "lspartition: Partitioning-Based Least Squares Regression," Papers 1906.00202, arXiv.org, revised Aug 2019.
  23. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2019. "lpdensity: Local Polynomial Density Estimation and Inference," Papers 1906.06529, arXiv.org, revised Feb 2021.
  24. Matias D. Cattaneo & Michael Jansson, 2019. "Average Density Estimators: Efficiency and Bootstrap Consistency," Papers 1904.09372, arXiv.org, revised Dec 2020.
  25. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "Binscatter Regressions," Papers 1902.09615, arXiv.org, revised Jul 2024.
  26. Matias D. Cattaneo & Nicolas Idrobo & Rocio Titiunik, 2019. "A Practical Introduction to Regression Discontinuity Designs: Foundations," Papers 1911.09511, arXiv.org.
  27. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2019. "nprobust: Nonparametric Kernel-Based Estimation and Robust Bias-Corrected Inference," Papers 1906.00198, arXiv.org.
  28. Matias D. Cattaneo & Rocio Titiunik & Gonzalo Vazquez-Bare, 2019. "Analysis of Regression Discontinuity Designs with Multiple Cutoffs or Multiple Scores," Papers 1912.07346, arXiv.org, revised Apr 2020.
  29. Matias D. Cattaneo & Yingjie Feng & Rocio Titiunik, 2019. "Prediction Intervals for Synthetic Control Methods," Papers 1912.07120, arXiv.org, revised Sep 2021.
  30. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018. "Optimal Bandwidth Choice for Robust Bias Corrected Inference in Regression Discontinuity Designs," Papers 1809.00236, arXiv.org, revised Jan 2020.
  31. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg, 2018. "Characteristic-Sorted Portfolios: Estimation and Inference," Papers 1809.03584, arXiv.org, revised Oct 2019.
  32. 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.
  33. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Two-Step Estimation and Inference with Possibly Many Included Covariates," Papers 1807.10100, arXiv.org.
  34. Matias D. Cattaneo & Max H. Farrell & Yingjie Feng, 2018. "Large Sample Properties of Partitioning-Based Series Estimators," Papers 1804.04916, arXiv.org, revised Jun 2019.
  35. Matias D. Cattaneo & Luke Keele & Rocio Titiunik & Gonzalo Vazquez-Bare, 2018. "Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs," Papers 1808.04416, arXiv.org, revised Apr 2020.
  36. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocio Titiunik, 2018. "Regression Discontinuity Designs Using Covariates," Papers 1809.03904, arXiv.org.
  37. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Simple Local Polynomial Density Estimators," Papers 1811.11512, arXiv.org, revised Jun 2019.
  38. Matias D. Cattaneo & Michael Jansson & Kenichi Nagasawa, 2017. "Bootstrap-Based Inference for Cube Root Asymptotics," Papers 1704.08066, arXiv.org, revised May 2020.
  39. 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.
  40. Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu & Elchin Suleymanov, 2017. "A Random Attention Model," Papers 1712.03448, arXiv.org, revised Aug 2019.
  41. Gonzalo Vazquez-Bare & Matias Cattaneo & Rocio Titiunik, 2016. "rdlocrand: a Stata Package for Inference in Regression Discontinuity Designs under Local Randomizati," 2016 Stata Conference 25, Stata Users Group.
  42. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2015. "On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference," Papers 1508.02973, arXiv.org, revised Mar 2018.
  43. Matias Cattaneo & Sebastian Calonico & Rocio Titiunik, 2015. "Robust Inference in Regression-Discontinuity Designs," 2015 Stata Conference 16, Stata Users Group.
  44. 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.
  45. 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.
  46. Matias D. Cattaneo & Michael Jansson, 2014. "Bootstrapping Kernel-Based Semiparametric Estimators," CREATES Research Papers 2014-25, Department of Economics and Business Economics, Aarhus University.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. Matias Cattaneo & Sebastian Galiani & Paul Gertler & Sebastian Martinez & Rocio Titiunik, 2008. "Housing, Health and Happiness," CEDLAS, Working Papers 0074, CEDLAS, Universidad Nacional de La Plata.
  52. 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.
  53. 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.

Articles

  1. Cattaneo, Matias D. & Jansson, Michael & Ma, Xinwei, 2024. "Local regression distribution estimators," Journal of Econometrics, Elsevier, vol. 240(2).
  2. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2024. "On Binscatter," American Economic Review, American Economic Association, vol. 114(5), pages 1488-1514, May.
  3. Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu, 2023. "Context-Dependent Heterogeneous Preferences: A Comment on Barseghyan and Molinari (2023)," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1030-1034, October.
  4. 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.
  5. Matias D. Cattaneo & Rocío Titiunik, 2022. "Regression Discontinuity Designs," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 821-851, August.
  6. Alberto Abadie & Matias D. Cattaneo, 2021. "Introduction to the Special Section on Synthetic Control Methods," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1713-1715, October.
  7. Matias D. Cattaneo & Luke Keele & Rocío Titiunik & Gonzalo Vazquez-Bare, 2021. "Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1941-1952, October.
  8. Matias D. Cattaneo & Yingjie Feng & Rocio Titiunik, 2021. "Prediction Intervals for Synthetic Control Methods," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1865-1880, October.
  9. 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.
  10. 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.
  11. Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu & Elchin Suleymanov, 2020. "A Random Attention Model," Journal of Political Economy, University of Chicago Press, vol. 128(7), pages 2796-2836.
  12. 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.
  13. Sebastian Calonico & Matias D Cattaneo & Max H Farrell, 2020. "Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 192-210.
  14. 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.
  15. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocío Titiunik, 2019. "Regression Discontinuity Designs Using Covariates," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 442-451, July.
  16. Matias Cattaneo & Rocio Titiunik & Gonzalo Vazquez-Bare, 2019. "Power calculations for regression-discontinuity designs," Stata Journal, StataCorp LP, vol. 19(1), pages 210-245, March.
  17. 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.
  18. 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.
  19. 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.
  20. Alberto Abadie & Matias D. Cattaneo, 2018. "Econometric Methods for Program Evaluation," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 465-503, August.
  21. 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.
  22. 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.
  23. 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.
  24. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Roc ́ıo Titiunik, 2017. "rdrobust: Software for regression-discontinuity designs," Stata Journal, StataCorp LP, vol. 17(2), pages 372-404, June.
  25. Burt S. Barnow & Matias D. Cattaneo & Rocío Titiunik & Gonzalo Vazquez‐Bare, 2017. "Comparing Inference Approaches for RD Designs: A Reexamination of the Effect of Head Start on Child Mortality," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 36(3), pages 643-681, June.
  26. Matias D. Cattaneo & Roc ́ıo Titiunik & Gonzalo Vazquez-Bare, 2016. "Inference in regression discontinuity designs under local randomization," Stata Journal, StataCorp LP, vol. 16(2), pages 331-367, June.
  27. Sebastian Calonico & Matias D. Cattaneo & Rocío Titiunik, 2015. "Optimal Data-Driven Regression Discontinuity Plots," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1753-1769, December.
  28. Cattaneo Matias D. & Frandsen Brigham R. & Titiunik Rocío, 2015. "Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate," Journal of Causal Inference, De Gruyter, vol. 3(1), pages 1-24.
  29. 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.
  30. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
  31. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust data-driven inference in the regression-discontinuity design," Stata Journal, StataCorp LP, vol. 14(4), pages 909-946, December.
  32. 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.
  33. Matias D. Cattaneo & Richard K. Crump, 2014. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(3), pages 324-329, July.
  34. 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.
  35. Matias D. Cattaneo & David M. Drukker & Ashley D. Holland, 2013. "Estimation of multivalued treatment effects under conditional independence," Stata Journal, StataCorp LP, vol. 13(3), pages 407-450, September.
  36. 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.
  37. 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.
  38. Cattaneo, Matias D. & Farrell, Max H., 2013. "Optimal convergence rates, Bahadur representation, and asymptotic normality of partitioning estimators," Journal of Econometrics, Elsevier, vol. 174(2), pages 127-143.
  39. 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.
  40. 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.
  41. Cattaneo, Matias D., 2010. "Efficient semiparametric estimation of multi-valued treatment effects under ignorability," Journal of Econometrics, Elsevier, vol. 155(2), pages 138-154, April.
  42. Matias D. Cattaneo & Sebastian Galiani & Paul J. Gertler & Sebastian Martinez & Rocio Titiunik, 2009. "Housing, Health, and Happiness," American Economic Journal: Economic Policy, American Economic Association, vol. 1(1), pages 75-105, 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.
  3. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocio Titiunik, 2018. "RDROBUST: Stata module to provide robust data-driven inference in the regression-discontinuity design," Statistical Software Components S458483, Boston College Department of Economics, revised 30 Sep 2022.
  4. Matias D. Cattaneo & David M. Drukker & Ashley Holland, 2012. "POPARMS: Stata module for potential outcome parameter estimation," Statistical Software Components S457511, Boston College Department of Economics, revised 27 Nov 2012.

Chapters

  1. Matias D. Cattaneo & Max H. Farrell, 2011. "Efficient Estimation of the Dose–Response Function Under Ignorability Using Subclassification on the Covariates," Advances in Econometrics, in: Missing Data Methods: Cross-sectional Methods and Applications, pages 93-127, Emerald Group Publishing Limited.
  2. Matias D. Cattaneo, 2010. "multi-valued treatment effects," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.

Books


    RePEc:eme:aecopp:aeco.2017.38 is not listed on IDEAS

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Rankings

This author is among the top 5% authors according to these criteria:
  1. Average Rank Score
  2. Number of Works
  3. Number of Distinct Works, Weighted by Simple Impact Factor
  4. Number of Distinct Works, Weighted by Recursive Impact Factor
  5. Number of Distinct Works, Weighted by Number of Authors and Simple Impact Factors
  6. Number of Distinct Works, Weighted by Number of Authors and Recursive Impact Factors
  7. Number of Citations
  8. Number of Citations, Discounted by Citation Age
  9. Number of Citations, Weighted by Simple Impact Factor
  10. Number of Citations, Weighted by Simple Impact Factor, Discounted by Citation Age
  11. Number of Citations, Weighted by Recursive Impact Factor
  12. Number of Citations, Weighted by Recursive Impact Factor, Discounted by Citation Age
  13. Number of Citations, Weighted by Number of Authors
  14. Number of Citations, Weighted by Number of Authors, Discounted by Citation Age
  15. Number of Citations, Weighted by Number of Authors and Simple Impact Factors
  16. Number of Citations, Weighted by Number of Authors and Simple Impact Factors, Discounted by Citation Age
  17. Number of Citations, Weighted by Number of Authors and Recursive Impact Factors
  18. Number of Citations, Weighted by Number of Authors and Recursive Impact Factors, Discounted by Citation Age
  19. h-index
  20. Number of Registered Citing Authors
  21. Number of Registered Citing Authors, Weighted by Rank (Max. 1 per Author)
  22. Number of Journal Pages
  23. Number of Journal Pages, Weighted by Simple Impact Factor
  24. Number of Journal Pages, Weighted by Recursive Impact Factor
  25. Number of Journal Pages, Weighted by Number of Authors and Simple Impact Factors
  26. Number of Journal Pages, Weighted by Number of Authors and Recursive Impact Factors
  27. Number of Abstract Views in RePEc Services over the past 12 months
  28. Number of Downloads through RePEc Services over the past 12 months
  29. Number of Abstract Views in RePEc Services over the past 12 months, Weighted by Number of Authors
  30. Number of Downloads through RePEc Services over the past 12 months, Weighted by Number of Authors
  31. Euclidian citation score
  32. Breadth of citations across fields
  33. Wu-Index
  34. 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 45 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 (39) 2004-04-11 2008-06-27 2008-06-27 2009-10-10 2010-05-29 2010-06-11 2011-05-07 2012-02-08 2014-09-05 2015-08-13 2016-08-21 2017-12-18 2017-12-18 2018-04-23 2018-08-20 2018-08-27 2018-09-10 2018-09-24 2018-10-01 2018-12-17 2019-03-04 2019-04-29 2019-06-24 2019-07-22 2020-10-19 2021-08-30 2021-10-25 2021-11-01 2022-05-23 2022-09-19 2022-10-31 2022-11-14 2023-02-06 2023-02-20 2023-03-27 2023-04-24 2024-01-22 2024-08-26 2024-10-07. Author is listed
  2. NEP-ETS: Econometric Time Series (3) 2004-04-11 2008-06-27 2009-10-10
  3. NEP-HEA: Health Economics (3) 2007-04-28 2008-09-13 2023-03-27
  4. NEP-ORE: Operations Research (3) 2010-05-29 2014-09-05 2015-08-13
  5. NEP-DEV: Development (2) 2007-04-28 2008-09-13
  6. NEP-HAP: Economics of Happiness (2) 2007-04-28 2008-09-13
  7. NEP-RMG: Risk Management (2) 2022-09-19 2023-08-28
  8. NEP-UPT: Utility Models and Prospect Theory (2) 2017-12-18 2023-07-10
  9. NEP-URE: Urban and Real Estate Economics (2) 2007-04-28 2008-09-13
  10. NEP-BAN: Banking (1) 2022-04-11
  11. NEP-BIG: Big Data (1) 2019-03-11
  12. NEP-DCM: Discrete Choice Models (1) 2021-10-25
  13. NEP-EFF: Efficiency and Productivity (1) 2019-04-29
  14. NEP-FMK: Financial Markets (1) 2022-09-19
  15. NEP-IFN: International Finance (1) 2023-08-28
  16. NEP-ISF: Islamic Finance (1) 2021-08-30
  17. NEP-MFD: Microfinance (1) 2023-07-10
  18. NEP-MIC: Microeconomics (1) 2017-12-18
  19. NEP-NEU: Neuroeconomics (1) 2021-10-25
  20. NEP-PPM: Project, Program and Portfolio Management (1) 2007-04-28

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Matias D. Cattaneo should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.