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Federico Crudu

Personal Details

First Name:Federico
Middle Name:
Last Name:Crudu
Suffix:
RePEc Short-ID:pcr49
https://sites.google.com/site/federicocrudu/
Terminal Degree:2009 Department of Economics and Related Studies; University of York (from RePEc Genealogy)

Affiliation

(80%) Dipartimento di Economia Politica e Statistica
Facoltà di Economia "Richard M. Goodwin"
Università degli Studi di Siena

Siena, Italy
https://www.deps.unisi.it/
RePEc:edi:desieit (more details at EDIRC)

(20%) Centro Ricerche Nord Sud (CRENoS)

Cagliari, Italy
http://www.crenos.unica.it/
RePEc:edi:crenoit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Crudu, Federico & Mellace, Giovanni & Smits, Joeri & Knaus, Michael, 2022. "What does OLS identify under the zero conditional mean assumption?," Discussion Papers on Economics 3/2022, University of Southern Denmark, Department of Economics, revised 15 Nov 2022.
  2. Federico Crudu & Michael C. Knaus & Giovanni Mellace & Joeri Smits, 2022. "On the Role of the Zero Conditional Mean Assumption for Causal Inference in Linear Models," Papers 2211.09502, arXiv.org.
  3. Federico Crudu & Roberta Di Stefano & Giovanni Mellace & Silvia Tiezzi, 2022. "The Gray Zone," Department of Economics University of Siena 874, Department of Economics, University of Siena.
  4. Marcello Basili & Federico Crudu, 2021. "Aggregation of Experts Opinions and the Assessment of Tipping Points. Catastrophic Forecasts for Higher Temperature Changes," Department of Economics University of Siena 868, Department of Economics, University of Siena.
  5. Víctor Morales-Oñate & Federico Crudu & Moreno Bevilacqua, 2020. "Blockwise Euclidean likelihood for spatio-temporal covariance models," Department of Economics University of Siena 822, Department of Economics, University of Siena.
  6. Federico Crudu & Laura Neri & Silvia Tiezzi, 2020. "Family Ties and Child Obesity in Italy," Department of Economics University of Siena 845, Department of Economics, University of Siena.
  7. Federico Crudu & Felipe Osorio, 2019. "Bilinear form test statistics for extremum estimation," Papers 1912.01410, arXiv.org.
  8. Crudu, Federico & Neri, Laura & Tiezzi, Silvia, 2018. "Family Ties and Children Obesity in Italy," MPRA Paper 90360, University Library of Munich, Germany, revised 15 Oct 2018.
  9. Federico Crudu & Giovanni Mellace & Zsolt Sandor, 2017. "Inference in instrumental variables models with heteroskedasticity and many instruments," Department of Economics University of Siena 761, Department of Economics, University of Siena.
  10. Federico Crudu, 2017. "Errors-in-Variables Models with Many Proxies," Department of Economics University of Siena 774, Department of Economics, University of Siena.
  11. G. Ardizzi & F. Crudu & C. Petraglia, 2015. "The Impact of Electronic Payments on Bank Cost Efficiency: Nonparametric Evidence," Working Paper CRENoS 201517, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  12. P.A. Bekker & F. Crudu, 2013. "Jackknife Instrumental Variable Estimation with Heteroskedasticity," Working Paper CRENoS 201313, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  13. Francesco Bravo & Federico Crudu, 2012. "Efficient bootstrap with weakly dependent processes," Discussion Papers 12/08, Department of Economics, University of York.
  14. Bekker, Paul A. & Crudu, Federico, 2012. "Symmetric Jackknife Instrumental Variable Estimation," MPRA Paper 37853, University Library of Munich, Germany.
  15. Crudu, Federico & Sándor, Zsolt, 2011. "On the finite-sample properties of conditional empirical likelihood estimators," MPRA Paper 34116, University Library of Munich, Germany.
  16. F. Crudu, 2010. "Z-Estimators and Auxiliary Information under Weak Dependence," Working Paper CRENoS 201022, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  17. F. Crudu, 2009. "GMM, Generalized Empirical Likelihood, and Time Series," Working Paper CRENoS 200912, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

Articles

  1. Crudu, Federico & Di Stefano, Roberta & Mellace, Giovanni & Tiezzi, Silvia, 2024. "The gray zone: How not imposing a strict lockdown at the beginning of a pandemic can cost many lives," Labour Economics, Elsevier, vol. 89(C).
  2. Federico Crudu & Advait Moharir, 2024. "Narrow and wide replication of Chalfin and McCrary (REStat, 2018)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 217-224, January.
  3. Crudu, Federico & Mellace, Giovanni & Sándor, Zsolt, 2021. "Inference In Instrumental Variable Models With Heteroskedasticity And Many Instruments," Econometric Theory, Cambridge University Press, vol. 37(2), pages 281-310, April.
  4. Morales-Oñate, Víctor & Crudu, Federico & Bevilacqua, Moreno, 2021. "Blockwise Euclidean likelihood for spatio-temporal covariance models," Econometrics and Statistics, Elsevier, vol. 20(C), pages 176-201.
  5. Crudu, Federico & Neri, Laura & Tiezzi, Silvia, 2021. "Family ties and child obesity in Italy," Economics & Human Biology, Elsevier, vol. 40(C).
  6. Crudu, Federico & Osorio, Felipe, 2020. "Bilinear form test statistics for extremum estimation," Economics Letters, Elsevier, vol. 187(C).
  7. Guerino Ardizzi & Federico Crudu & Carmelo Petraglia, 2019. "Innovation and Cost Efficiency in the Banking Industry: The Role of Electronic Payments," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 48(1), February.
  8. Bekker, Paul A. & Crudu, Federico, 2015. "Jackknife instrumental variable estimation with heteroskedasticity," Journal of Econometrics, Elsevier, vol. 185(2), pages 332-342.
  9. Bravo, Francesco & Crudu, Federico, 2012. "Efficient bootstrap with weakly dependent processes," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3444-3458.

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. Federico Crudu & Michael C. Knaus & Giovanni Mellace & Joeri Smits, 2022. "On the Role of the Zero Conditional Mean Assumption for Causal Inference in Linear Models," Papers 2211.09502, arXiv.org.

    Cited by:

    1. Bonev, Petyo, 2023. "Behavioral Spillovers," Economics Working Paper Series 2303, University of St. Gallen, School of Economics and Political Science.

  2. Víctor Morales-Oñate & Federico Crudu & Moreno Bevilacqua, 2020. "Blockwise Euclidean likelihood for spatio-temporal covariance models," Department of Economics University of Siena 822, Department of Economics, University of Siena.

    Cited by:

    1. Víctor Morales-Oñate & Federico Crudu & Moreno Bevilacqua, 2020. "Blockwise Euclidean likelihood for spatio-temporal covariance models," Department of Economics University of Siena 822, Department of Economics, University of Siena.

  3. Federico Crudu & Laura Neri & Silvia Tiezzi, 2020. "Family Ties and Child Obesity in Italy," Department of Economics University of Siena 845, Department of Economics, University of Siena.

    Cited by:

    1. Tosi, Francesca & Rettaroli, Rosella, 2022. "Intergenerational transmission of dietary habits among Italian children and adolescents," Economics & Human Biology, Elsevier, vol. 44(C).
    2. Di Cosmo, Valeria & Tiezzi, Silvia, 2023. "Let them Eat Cake? The Net Consumer Welfare Impact of Sin Taxes," MPRA Paper 116214, University Library of Munich, Germany.

  4. Federico Crudu & Giovanni Mellace & Zsolt Sandor, 2017. "Inference in instrumental variables models with heteroskedasticity and many instruments," Department of Economics University of Siena 761, Department of Economics, University of Siena.

    Cited by:

    1. Dennis Lim & Wenjie Wang & Yichong Zhang, 2022. "A Conditional Linear Combination Test with Many Weak Instruments," Papers 2207.11137, arXiv.org, revised Apr 2023.
    2. Anatolyev, Stanislav & Sølvsten, Mikkel, 2023. "Testing many restrictions under heteroskedasticity," Journal of Econometrics, Elsevier, vol. 236(1).
    3. Manu Navjeevan, 2023. "An Identification and Dimensionality Robust Test for Instrumental Variables Models," Papers 2311.14892, arXiv.org.
    4. Johannes W. Ligtenberg, 2023. "Inference in IV models with clustered dependence, many instruments and weak identification," Papers 2306.08559, arXiv.org, revised Mar 2024.
    5. Tom Boot & Didier Nibbering, 2024. "Inference on LATEs with covariates," Papers 2402.12607, arXiv.org, revised Nov 2024.
    6. Matsushita, Yukitoshi & Otsu, Taisuke, 2024. "A jackknife Lagrange multiplier test with many weak instruments," LSE Research Online Documents on Economics 116392, London School of Economics and Political Science, LSE Library.
    7. Max-Sebastian Dov`i, 2021. "Inference on the New Keynesian Phillips Curve with Very Many Instrumental Variables," Papers 2101.09543, arXiv.org, revised Mar 2021.
    8. Max-Sebastian Dov`i & Anders Bredahl Kock & Sophocles Mavroeidis, 2022. "A Ridge-Regularised Jackknifed Anderson-Rubin Test," Papers 2209.03259, arXiv.org, revised Nov 2023.
    9. Chao, John C. & Swanson, Norman R. & Woutersen, Tiemen, 2023. "Jackknife estimation of a cluster-sample IV regression model with many weak instruments," Journal of Econometrics, Elsevier, vol. 235(2), pages 1747-1769.
    10. Anna Mikusheva & Liyang Sun, 2024. "Weak identification with many instruments," The Econometrics Journal, Royal Economic Society, vol. 27(2), pages -28.
    11. Lim, Dennis & Wang, Wenjie & Zhang, Yichong, 2024. "A conditional linear combination test with many weak instruments," Journal of Econometrics, Elsevier, vol. 238(2).
    12. Luther Yap, 2024. "Inference with Many Weak Instruments and Heterogeneity," Papers 2408.11193, arXiv.org, revised Sep 2024.
    13. Johannes W. Ligtenberg & Tiemen Woutersen, 2024. "Multidimensional clustering in judge designs," Papers 2406.09473, arXiv.org.
    14. Tom Boot & Johannes W. Ligtenberg, 2023. "Identification- and many instrument-robust inference via invariant moment conditions," Papers 2303.07822, arXiv.org, revised Sep 2023.
    15. Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.

  5. G. Ardizzi & F. Crudu & C. Petraglia, 2015. "The Impact of Electronic Payments on Bank Cost Efficiency: Nonparametric Evidence," Working Paper CRENoS 201517, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

    Cited by:

    1. Farkhanda Shamim & Nobuyoshi Yamori & Shahid Anjum, 2017. "Clicks business of deposit-taking institutions: an efficiency analysis," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 44(6), pages 911-930, November.

  6. P.A. Bekker & F. Crudu, 2013. "Jackknife Instrumental Variable Estimation with Heteroskedasticity," Working Paper CRENoS 201313, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

    Cited by:

    1. Mohammed S. Y. Omran & Mohammad A. A. Zaid & Aladdin Dwekat, 2021. "The relationship between integrated reporting and corporate environmental performance: A green trial," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(1), pages 427-445, January.
    2. Crudu, Federico & Mellace, Giovanni & Sándor, Zsolt, 2021. "Inference In Instrumental Variable Models With Heteroskedasticity And Many Instruments," Econometric Theory, Cambridge University Press, vol. 37(2), pages 281-310, April.
    3. Zhenhong Huang & Chen Wang & Jianfeng Yao, 2023. "A specification test for the strength of instrumental variables," Papers 2302.14396, arXiv.org.
    4. Bekker, Paul & Wansbeek, Tom, 2016. "Simple many-instruments robust standard errors through concentrated instrumental variables," Economics Letters, Elsevier, vol. 149(C), pages 52-55.
    5. Meijer, Erik & Spierdijk, Laura & Wansbeek, Tom, 2017. "Consistent estimation of linear panel data models with measurement error," Journal of Econometrics, Elsevier, vol. 200(2), pages 169-180.
    6. Johannes W. Ligtenberg, 2023. "Inference in IV models with clustered dependence, many instruments and weak identification," Papers 2306.08559, arXiv.org, revised Mar 2024.
    7. Víctor Morales-Oñate & Federico Crudu & Moreno Bevilacqua, 2020. "Blockwise Euclidean likelihood for spatio-temporal covariance models," Department of Economics University of Siena 822, Department of Economics, University of Siena.
    8. Kolesár, Michal, 2018. "Minimum distance approach to inference with many instruments," Journal of Econometrics, Elsevier, vol. 204(1), pages 86-100.
    9. Tom Boot & Didier Nibbering, 2024. "Inference on LATEs with covariates," Papers 2402.12607, arXiv.org, revised Nov 2024.
    10. Murray Michael P., 2017. "Linear Model IV Estimation When Instruments Are Many or Weak," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-22, January.
    11. Chao, John C. & Swanson, Norman R. & Woutersen, Tiemen, 2023. "Jackknife estimation of a cluster-sample IV regression model with many weak instruments," Journal of Econometrics, Elsevier, vol. 235(2), pages 1747-1769.
    12. Qingliang Fan & Zijian Guo & Ziwei Mei, 2022. "A Heteroskedasticity-Robust Overidentifying Restriction Test with High-Dimensional Covariates," Papers 2205.00171, arXiv.org, revised May 2024.
    13. Wang, Wenjie & Kaffo, Maximilien, 2016. "Bootstrap inference for instrumental variable models with many weak instruments," Journal of Econometrics, Elsevier, vol. 192(1), pages 231-268.
    14. Crudu, Federico & Neri, Laura & Tiezzi, Silvia, 2018. "Family Ties and Children Obesity in Italy," MPRA Paper 90360, University Library of Munich, Germany, revised 15 Oct 2018.
    15. Tom Boot & Johannes W. Ligtenberg, 2023. "Identification- and many instrument-robust inference via invariant moment conditions," Papers 2303.07822, arXiv.org, revised Sep 2023.

  7. Francesco Bravo & Federico Crudu, 2012. "Efficient bootstrap with weakly dependent processes," Discussion Papers 12/08, Department of Economics, University of York.

    Cited by:

    1. Paulo M.D.C. Parente & Richard J. Smith, 2018. "Generalised Empirical Likelihood Kernel Block Bootstrapping," Working Papers REM 2018/55, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.

Articles

  1. Crudu, Federico & Mellace, Giovanni & Sándor, Zsolt, 2021. "Inference In Instrumental Variable Models With Heteroskedasticity And Many Instruments," Econometric Theory, Cambridge University Press, vol. 37(2), pages 281-310, April.
    See citations under working paper version above.
  2. Morales-Oñate, Víctor & Crudu, Federico & Bevilacqua, Moreno, 2021. "Blockwise Euclidean likelihood for spatio-temporal covariance models," Econometrics and Statistics, Elsevier, vol. 20(C), pages 176-201.
    See citations under working paper version above.
  3. Crudu, Federico & Neri, Laura & Tiezzi, Silvia, 2021. "Family ties and child obesity in Italy," Economics & Human Biology, Elsevier, vol. 40(C).
    See citations under working paper version above.
  4. Guerino Ardizzi & Federico Crudu & Carmelo Petraglia, 2019. "Innovation and Cost Efficiency in the Banking Industry: The Role of Electronic Payments," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 48(1), February.

    Cited by:

    1. Guerino Ardizzi & Elisa Bonifacio & Cristina Demma & Laura Painelli, 2020. "Regional Differences in Retail Payment Habits in Italy," Questioni di Economia e Finanza (Occasional Papers) 576, Bank of Italy, Economic Research and International Relations Area.

  5. Bekker, Paul A. & Crudu, Federico, 2015. "Jackknife instrumental variable estimation with heteroskedasticity," Journal of Econometrics, Elsevier, vol. 185(2), pages 332-342.
    See citations under working paper version above.
  6. Bravo, Francesco & Crudu, Federico, 2012. "Efficient bootstrap with weakly dependent processes," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3444-3458.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 18 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 (11) 2010-01-23 2010-11-27 2011-10-22 2012-03-28 2012-04-17 2018-01-15 2018-02-12 2019-09-02 2020-04-06 2022-03-14 2022-12-12. Author is listed
  2. NEP-ORE: Operations Research (7) 2011-10-22 2016-01-03 2018-01-15 2018-02-12 2020-04-06 2020-04-06 2022-03-14. Author is listed
  3. NEP-EUR: Microeconomic European Issues (3) 2018-05-14 2018-12-17 2020-11-16
  4. NEP-HEA: Health Economics (3) 2018-05-14 2020-11-16 2022-08-29
  5. NEP-SOC: Social Norms and Social Capital (3) 2018-05-14 2018-12-17 2020-11-16
  6. NEP-URE: Urban and Real Estate Economics (3) 2018-05-14 2018-12-17 2020-11-16
  7. NEP-BAN: Banking (1) 2016-01-03
  8. NEP-CIS: Confederation of Independent States (1) 2011-10-22
  9. NEP-CMP: Computational Economics (1) 2020-04-06
  10. NEP-EFF: Efficiency and Productivity (1) 2016-01-03
  11. NEP-ENV: Environmental Economics (1) 2022-01-10
  12. NEP-ETS: Econometric Time Series (1) 2010-01-23
  13. NEP-INO: Innovation (1) 2016-01-03
  14. NEP-NET: Network Economics (1) 2020-11-16

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