IDEAS home Printed from https://ideas.repec.org/f/pbo594.html
   My authors  Follow this author

Irene Botosaru

Personal Details

First Name:Irene
Middle Name:
Last Name:Botosaru
Suffix:
RePEc Short-ID:pbo594
[This author has chosen not to make the email address public]
https://botosi.github.io/botosi/home.html
Terminal Degree: Economics Department; Yale University (from RePEc Genealogy)

Affiliation

Department of Economics
McMaster University

Hamilton, Canada
http://www.mcmaster.ca/economics/
RePEc:edi:demcmca (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Senay Sokullu & Irene Botosaru & Chris Muris, 2022. "Time-Varying Linear Transformation Models with Fixed Effects and Endogeneity for Short Panels," Bristol Economics Discussion Papers 22/756, School of Economics, University of Bristol, UK.
  2. Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.
  3. Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," CeMMAP working papers CWP26/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  4. Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Identification of Time-Varying Transformation Models with Fixed Effects, with an Application to Unobserved Heterogeneity in Resource Shares," Papers 2008.05507, arXiv.org, revised Apr 2021.
  5. Botosaru, Irene & Ferman, Bruno, 2017. "On the Role of Covariates in the Synthetic Control Method," MPRA Paper 80796, University Library of Munich, Germany.
  6. Irene Botosaru & Chris Muris, 2017. "Binarization for panel models with fixed effects," CeMMAP working papers 31/17, Institute for Fiscal Studies.
  7. Irene Botosaru, 2017. "Identifying Distributions in a Panel Model with Heteroskedasticity: An Application to Earnings Volatility," Discussion Papers dp17-11, Department of Economics, Simon Fraser University.
  8. Botosaru, Irene, 2011. "A Duration Model with Dynamic Unobserved Heterogeneity," TSE Working Papers 11-262, Toulouse School of Economics (TSE), revised Nov 2013.

Articles

  1. Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023. "Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares," Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.
  2. Botosaru, Irene, 2020. "Nonparametric analysis of a duration model with stochastic unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 217(1), pages 112-139.
  3. Irene Botosaru & Bruno Ferman, 2019. "On the role of covariates in the synthetic control method," The Econometrics Journal, Royal Economic Society, vol. 22(2), pages 117-130.
  4. Irene Botosaru & Federico H. Gutierrez, 2018. "Difference‐in‐differences when the treatment status is observed in only one period," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(1), pages 73-90, January.
  5. Botosaru, Irene & Sasaki, Yuya, 2018. "Nonparametric heteroskedasticity in persistent panel processes: An application to earnings dynamics," Journal of Econometrics, Elsevier, vol. 203(2), pages 283-296.

Software components

  1. Irene Botosaru & Yuya Sasaki, 2020. "NPSS: Stata module to estimate nonparametric heteroskedastic state space models," Statistical Software Components S458772, Boston College Department of Economics, revised 18 Mar 2022.

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. Senay Sokullu & Irene Botosaru & Chris Muris, 2022. "Time-Varying Linear Transformation Models with Fixed Effects and Endogeneity for Short Panels," Bristol Economics Discussion Papers 22/756, School of Economics, University of Bristol, UK.

    Cited by:

    1. Cavit Pakel & Martin Weidner, 2023. "Bounds on Average Effects in Discrete Choice Panel Data Models," Papers 2309.09299, arXiv.org, revised Dec 2023.

  2. Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.

    Cited by:

    1. Cavit Pakel & Martin Weidner, 2023. "Bounds on Average Effects in Discrete Choice Panel Data Models," Papers 2309.09299, arXiv.org, revised Dec 2023.

  3. Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," CeMMAP working papers CWP26/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Calvi, Rossella & Penglase, Jacob & Tommasi, Denni & Wolf, Alexander, 2020. "The More the Poorer? Resource Sharing and Scale Economies in Large Families," IZA Discussion Papers 13948, Institute of Labor Economics (IZA).
    2. Calvi, Rossella & Keskar, Ajinkya, 2021. "Dowries, resource allocation, and poverty," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 268-303.
    3. Olivier Bargain & Guy Lacroix & Luca Tiberti, 2021. "Intrahousehold Resource Allocation and Individual Poverty: Assessing Collective Model Predictions against Direct Evidence on Sharing," Working Papers hal-03432676, HAL.
    4. Olivier Bargain, 2022. "Income Sources, Intra-Household Allocation And Individual Poverty," Commitment to Equity (CEQ) Working Paper Series 121, Tulane University, Department of Economics.

  4. Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Identification of Time-Varying Transformation Models with Fixed Effects, with an Application to Unobserved Heterogeneity in Resource Shares," Papers 2008.05507, arXiv.org, revised Apr 2021.

    Cited by:

    1. Bo E. Honoré & Chris Muris & Martin Weidner, 2021. "Dynamic Ordered Panel Logit Models," Working Papers 2021-14, Princeton University. Economics Department..
    2. Senay Sokullu & Irene Botosaru & Chris Muris, 2022. "Time-Varying Linear Transformation Models with Fixed Effects and Endogeneity for Short Panels," Bristol Economics Discussion Papers 22/756, School of Economics, University of Bristol, UK.
    3. Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.

  5. Botosaru, Irene & Ferman, Bruno, 2017. "On the Role of Covariates in the Synthetic Control Method," MPRA Paper 80796, University Library of Munich, Germany.

    Cited by:

    1. Sampson, Thomas & Breinlich, Holger & Leromain, Elsa & Novy, Dennis, 2019. "Voting with their money: Brexit and outward investment by UK firms," LSE Research Online Documents on Economics 103396, London School of Economics and Political Science, LSE Library.
    2. Safoura Moeeni, 2022. "The Intergenerational Effects of Economic Sanctions," The World Bank Economic Review, World Bank, vol. 36(2), pages 269-304.
    3. Niklas Potrafke & Kaspar Wüthrich, 2020. "Green Governments," CESifo Working Paper Series 8726, CESifo.
    4. Thomas Barnebeck Andersen, 2023. "The Cost of a Currency Peg during the Great Recession," Open Economies Review, Springer, vol. 34(2), pages 255-279, April.
    5. Heger, Martin Philipp & Neumayer, Eric, 2019. "The impact of the Indian Ocean tsunami on Aceh’s long-term economic growth," LSE Research Online Documents on Economics 101115, London School of Economics and Political Science, LSE Library.
    6. Brett Parker, 2021. "Death Penalty Statutes and Murder Rates: Evidence From Synthetic Controls," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 18(3), pages 488-533, September.
    7. Roy Cerqueti & Raffaella Coppier & Alessandro Girardi & Marco Ventura, 2022. "The sooner the better: lives saved by the lockdown during the COVID-19 outbreak. The case of Italy [Using synthetic controls: Feasibility, data requirements, and methodological aspects]," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 46-70.
    8. Marco Francesconi & Jonathan James, 2022. "Alcohol Price Floors and Externalities: The Case of Fatal Road Crashes," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(4), pages 1118-1156, September.
    9. Benjamin Krebs & Simon Luechinger, 2020. "The effect of an electricity tax on aggregate electricity consumption: evidence from Basel," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-20, December.
    10. Daniel Avdic & Stephanie von Hinke, 2021. "Extending alcohol retailers' opening hours: Evidence from Sweden," Bristol Economics Discussion Papers 21/749, School of Economics, University of Bristol, UK.
    11. Castillo, Emilio, 2021. "The impacts of profit-based royalties on early-stage mineral exploration," Resources Policy, Elsevier, vol. 73(C).
    12. Dhaval Dave & Joseph J. Sabia & Samuel Safford, 2022. "The limits of reopening policy to alter economic behavior: New evidence from Texas," Journal of Risk and Uncertainty, Springer, vol. 64(2), pages 109-145, April.
    13. Andrew I. Friedson & Drew McNichols & Joseph J. Sabia & Dhaval Dave, 2021. "Shelter‐In‐Place Orders And Public Health: Evidence From California During The Covid‐19 Pandemic," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(1), pages 258-283, January.
    14. Erick Lahura & Rosario Sabrera, 2023. "The effect of infrastructure investment on tourism demand: a synthetic control approach for the case of Kuelap, Peru," Empirical Economics, Springer, vol. 65(1), pages 443-478, July.
    15. Ferman, Bruno, 2017. "Matching Estimators with Few Treated and Many Control Observations," MPRA Paper 78940, University Library of Munich, Germany.
    16. Ersoy, Fulya Y., 2020. "The effects of the great recession on college majors," Economics of Education Review, Elsevier, vol. 77(C).
    17. Emery, Thomas & Mélon, Lela & Spruk, Rok, 2023. "Does e-procurement matter for economic growth? Subnational evidence from Australia," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 318-334.
    18. Joseph Fry, 2023. "A Method of Moments Approach to Asymptotically Unbiased Synthetic Controls," Papers 2312.01209, arXiv.org, revised Mar 2024.
    19. Kraft, Kornelius & Lammers, Alexander, 2021. "Bargaining Power and the Labor Share - a Structural Break Approach," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242342, Verein für Socialpolitik / German Economic Association.
    20. Denti, Daria & Iammarino, Simona, 2022. "Coming Out of the Woods. Do local support services influence the propensity to report sexual violence?," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 334-352.
    21. Mayank Aggarwal & Anindya S. Chakrabarti & Chirantan Chatterjee, 2023. "Movies, stigma and choice: Evidence from the pharmaceutical industry," Health Economics, John Wiley & Sons, Ltd., vol. 32(5), pages 1019-1039, May.
    22. Mohammad Reza Farzanegan & Mohammad Ali Kadivar, 2021. "The Effect of Islamic Revolution and War on Income Inequality in Iran," CESifo Working Paper Series 9428, CESifo.
    23. Avdic, Daniel & Ivets, Maryna & Lagerqvist, Bo & Sriubaite, Ieva, 2021. "Providers, Peers and Patients: How do Physicians’ Practice Environments Affect Patient Outcomes?," CINCH Working Paper Series (since 2020) 74000, Duisburg-Essen University Library, DuEPublico.
    24. Yuan Li & Martin Kleimann & Hans-Jörg Schmerer, 2021. "Estimating causal effects of BRI infrastructure projects based on the synthetic control method," Asia Europe Journal, Springer, vol. 19(1), pages 103-129, December.
    25. Kim, Hyejin & Lee, Jungmin, 2019. "Can employment subsidies save jobs? Evidence from a shipbuilding city in South Korea," Labour Economics, Elsevier, vol. 61(C).
    26. Idriss Fontaine & Justinien Razafindravaosolonirina, 2023. "The income loss of a political crisis: Evidence from Madagascar," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(3), pages 657-681, July.
    27. Campos Vázquez, Raymundo Miguel & Rodas Milián, James Alexis, 2020. "El efecto faro del salario mínimo en la estructura salarial: evidencias para México," El Trimestre Económico, Fondo de Cultura Económica, vol. 87(345), pages 51-97, enero-mar.
    28. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2018. "The Augmented Synthetic Control Method," Papers 1811.04170, arXiv.org, revised Jul 2020.
    29. Bruno Ferman, 2021. "On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1764-1772, October.
    30. Roberta Di Stefano & Giovanni Mellace, 2020. "The inclusive synthetic control method," Working Papers 21/20, Sapienza University of Rome, DISS.
    31. Wei Tian & Seojeong Lee & Valentyn Panchenko, 2023. "Synthetic Controls with Multiple Outcomes: Estimating the Effects of Non-Pharmaceutical Interventions in the COVID-19 Pandemic," Papers 2304.02272, arXiv.org.
    32. Klößner, Stefan & Pfeifer, Gregor, 2018. "Synthesizing Cash for Clunkers: Stabilizing the Car Market, Hurting the Environment?," MPRA Paper 88175, University Library of Munich, Germany.
    33. Xiaomeng Zhang & Wendun Wang & Xinyu Zhang, 2022. "Asymptotic Properties of the Synthetic Control Method," Papers 2211.12095, arXiv.org.
    34. Dhaval M. Dave & Andrew I. Friedson & Kyutaro Matsuzawa & Drew McNichols & Joseph J. Sabia, 2020. "Are the Effects of Adoption and Termination of Shelter-in-Place Orders Symmetric? Evidence from a Natural Experiment," NBER Working Papers 27322, National Bureau of Economic Research, Inc.
    35. Dave, Dhaval M. & Friedson, Andrew I. & Matsuzawa, Kyutaro & McNichols, Drew & Sabia, Joseph J., 2020. "Did the Wisconsin Supreme Court Restart a COVID-19 Epidemic? Evidence from a Natural Experiment," IZA Discussion Papers 13314, Institute of Labor Economics (IZA).
    36. Fiammetta Menchetti & Fabrizio Cipollini & Fabrizia Mealli, 2023. "Combining counterfactual outcomes and ARIMA models for policy evaluation," The Econometrics Journal, Royal Economic Society, vol. 26(1), pages 1-24.
    37. Michael Funke & Kadri Männasoo & Helery Tasane, 2023. "Regional Economic Impacts of the Øresund Cross-Border Fixed Link: Cui Bono?," CESifo Working Paper Series 10557, CESifo.
    38. Wang, Rui & Chen, Xi & Li, Xun, 2021. "Something in the Pipe: Flint Water Crisis and Health at Birth," GLO Discussion Paper Series 887, Global Labor Organization (GLO).
    39. Bruno Ferman & Gaute Torsvik & Kjell Vaage, 2023. "Skipping the doctor: evidence from a case with extended self-certification of paid sick leave," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 935-971, April.
    40. David Gilchrist & Thomas Emery & Nuno Garoupa & Rok Spruk, 2023. "Synthetic Control Method: A tool for comparative case studies in economic history," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 409-445, April.
    41. Peter Backus & Thien Nguyen, 2021. "The Effect of the Sex Buyer Law on the Market for Sex, Sexual Health and Sexual Violence," Economics Discussion Paper Series 2106, Economics, The University of Manchester.
    42. Gabriel, Ricardo Duque & Pessoa, Ana Sofia, 2020. "Adopting the Euro: a synthetic control approach," MPRA Paper 99391, University Library of Munich, Germany.
    43. Chiara Natalie Focacci & Mitja Kovac & Rok Spruk, 2022. "The perils of Kremlin's influence: evidence from Ukraine," Papers 2206.04950, arXiv.org.
    44. Benjamin Hansen & Drew McNichols, 2020. "Information and the Persistence of the Gender Wage Gap: Early Evidence from California's Salary History Ban," NBER Working Papers 27054, National Bureau of Economic Research, Inc.
    45. Claudia Shi & Dhanya Sridhar & Vishal Misra & David M. Blei, 2021. "On the Assumptions of Synthetic Control Methods," Papers 2112.05671, arXiv.org, revised Dec 2021.
    46. Wei Tian, 2023. "The Synthetic Control Method with Nonlinear Outcomes: Estimating the Impact of the 2019 Anti-Extradition Law Amendments Bill Protests on Hong Kong's Economy," Papers 2306.01967, arXiv.org.
    47. Dhaval M. Dave & Joseph J. Sabia & Samuel Safford, 2021. "The Limits of Reopening Policy to Alter Economic Behavior: New Evidence from Texas," NBER Working Papers 28804, National Bureau of Economic Research, Inc.
    48. Bruno Ferman & Cristine Pinto, 2021. "Synthetic controls with imperfect pretreatment fit," Quantitative Economics, Econometric Society, vol. 12(4), pages 1197-1221, November.
    49. Dhaval M. Dave & Andrew I. Friedson & Kyutaro Matsuzawa & Drew McNichols & Connor Redpath & Joseph J. Sabia, 2020. "Risk Aversion, Offsetting Community Effects, and COVID-19: Evidence from an Indoor Political Rally," NBER Working Papers 27522, National Bureau of Economic Research, Inc.
    50. John Charles Bradbury, 2022. "The impact of sports stadiums on localized commercial activity: Evidence from a Business Improvement District," Journal of Regional Science, Wiley Blackwell, vol. 62(1), pages 194-217, January.
    51. Colin O'Reilly, 2021. "Violent conflict and institutional change," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 29(2), pages 257-317, April.
    52. Daniel Albalate & Germà Bel & Ferran A. Mazaira-Font, 2021. "Decoupling synthetic control methods to ensure stability, accuracy and meaningfulness," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(4), pages 549-584, December.
    53. Guire, William M.C. & Holtmaat, Ellen Alexandra & Prakash, Aseem, 2022. "Penalties for industrial accidents: the impact of the Deepwater Horizon accident on BP’s reputation and stock market returns," LSE Research Online Documents on Economics 115560, London School of Economics and Political Science, LSE Library.
    54. Esaka, Taro & Fujii, Takao, 2022. "Quantifying the impact of the Tokyo Olympics on COVID-19 cases using synthetic control methods," Journal of the Japanese and International Economies, Elsevier, vol. 66(C).

  6. Irene Botosaru & Chris Muris, 2017. "Binarization for panel models with fixed effects," CeMMAP working papers 31/17, Institute for Fiscal Studies.

    Cited by:

    1. Georgios Marios Chrysanthou & Chrysovalantis Vasilakis, 2018. "The Dynamics and Determinants of Bullying Victimisation," LIDAM Discussion Papers IRES 2018012, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    2. Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023. "Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares," Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.
    3. Eleni (E.) Aristodemou, 2018. "Semiparametric Identification in Panel Data Discrete Response Models," Tinbergen Institute Discussion Papers 18-065/III, Tinbergen Institute.
    4. Senay Sokullu & Irene Botosaru & Chris Muris, 2022. "Time-Varying Linear Transformation Models with Fixed Effects and Endogeneity for Short Panels," Bristol Economics Discussion Papers 22/756, School of Economics, University of Bristol, UK.
    5. Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," Department of Economics Working Papers 2020-09, McMaster University.
    6. Bo E. Honor'e & Martin Weidner, 2020. "Moment Conditions for Dynamic Panel Logit Models with Fixed Effects," Papers 2005.05942, arXiv.org, revised Dec 2023.
    7. Mugnier, Martin & Wang, Ao, 2022. "Identification and (Fast) Estimation of Large Nonlinear Panel Models with Two-Way Fixed Effects," The Warwick Economics Research Paper Series (TWERPS) 1422, University of Warwick, Department of Economics.
    8. Bo E. Honoré & Martin Weidner, 2020. "Moment Conditions for Dynamic Panel Logit Models with Fixed Effects," CeMMAP working papers CWP38/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Aristodemou, Eleni, 2021. "Semiparametric identification in panel data discrete response models," Journal of Econometrics, Elsevier, vol. 220(2), pages 253-271.
    10. Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.

  7. Irene Botosaru, 2017. "Identifying Distributions in a Panel Model with Heteroskedasticity: An Application to Earnings Volatility," Discussion Papers dp17-11, Department of Economics, Simon Fraser University.

    Cited by:

    1. Babii, Andrii & Florens, Jean-Pierre, 2020. "Is completeness necessary? Estimation in nonidentified linear models," TSE Working Papers 20-1091, Toulouse School of Economics (TSE).

  8. Botosaru, Irene, 2011. "A Duration Model with Dynamic Unobserved Heterogeneity," TSE Working Papers 11-262, Toulouse School of Economics (TSE), revised Nov 2013.

    Cited by:

    1. Effraimidis, Georgios, 2016. "Nonparametric Identification of a Time-Varying Frailty Model," DaCHE discussion papers 2016:6, University of Southern Denmark, Dache - Danish Centre for Health Economics.
    2. Ruixuan Liu, 2020. "A competing risks model with time‐varying heterogeneity and simultaneous failure," Quantitative Economics, Econometric Society, vol. 11(2), pages 535-577, May.
    3. Nathalie Gimenes & Emmanuel Guerre, 2019. "Nonparametric identification of an interdependent value model with buyer covariates from first-price auction bids," Papers 1910.10646, arXiv.org.

Articles

  1. Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023. "Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares," Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.
    See citations under working paper version above.
  2. Botosaru, Irene, 2020. "Nonparametric analysis of a duration model with stochastic unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 217(1), pages 112-139.

    Cited by:

    1. Gimenes, Nathalie & Guerre, Emmanuel, 2020. "Nonparametric identification of an interdependent value model with buyer covariates from first-price auction bids," Journal of Econometrics, Elsevier, vol. 219(1), pages 1-18.
    2. Nathalie Gimenes & Emmanuel Guerre, 2019. "Nonparametric identification of an interdependent value model with buyer covariates from first-price auction bids," Papers 1910.10646, arXiv.org.

  3. Irene Botosaru & Bruno Ferman, 2019. "On the role of covariates in the synthetic control method," The Econometrics Journal, Royal Economic Society, vol. 22(2), pages 117-130.
    See citations under working paper version above.
  4. Irene Botosaru & Federico H. Gutierrez, 2018. "Difference‐in‐differences when the treatment status is observed in only one period," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(1), pages 73-90, January.

    Cited by:

    1. Douglas Kiarelly Godoy de Araujo & João Barata R B Barroso & Rodrigo Barbone Gonzalez, 2017. "Loan-to-value policy and housing finance: effects on constrained borrowers," BIS Working Papers 673, Bank for International Settlements.
    2. 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.
    3. Brantly Callaway & Pedro H. C. Sant'Anna, 2018. "Difference-in-Differences with Multiple Time Periods," Papers 1803.09015, arXiv.org, revised Dec 2020.
    4. Lalive, Rafael & Card, David & Colella, Fabrizio, 2021. "Gender Preferences in Job Vacancies and Workplace Gender Diversity," CEPR Discussion Papers 16619, C.E.P.R. Discussion Papers.
    5. Yu Lu & Fanbin Kong & Luchen Huang & Kai Xiong & Caiyao Xu & Ben Wang, 2021. "Evaluation of the Implementation Effect of the Ecological Compensation Policy in the Poyang Lake River Basin Based on Difference-in-Difference Method," Sustainability, MDPI, vol. 13(15), pages 1-14, August.
    6. Hiroyuki Kasahara & Katsumi Shimotsu, 2019. "Identification of Regression Models with a Misclassified and Endogenous Binary Regressor," Papers 1904.11143, arXiv.org, revised Aug 2021.
    7. Clément de Chaisemartin & Xavier d'Haultfoeuille & Félix Pasquier & Gonzalo Vazquez-Bare, 2022. "Difference-in-Differences Estimators for Treatments Continuously Distributed at Every Period," SciencePo Working papers Main hal-03873926, HAL.
    8. Tanya Byker & Italo A. Gutierrez, 2016. "Treatment Effects Using Inverse Probability Weighting and Contaminated Treatment Data An Application to the Evaluation of a Government Female Sterilization Campaign in Peru," Working Papers WR-1118-1, RAND Corporation.
    9. Douglas Kiarelly Godoy de Araujo & João Barata Ribeiro Blanco Barroso & Rodrigo Barbone Gonzalez, 2016. "Loan-To-Value Policy and Housing Loans: effects on constrained borrowers," Working Papers Series 445, Central Bank of Brazil, Research Department.
    10. Yanqin Fan & Carlos A. Manzanares, 2017. "Partial identification of average treatment effects on the treated through difference-in-differences," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 1057-1080, October.
    11. Augustine Denteh & D'esir'e K'edagni, 2022. "Misclassification in Difference-in-differences Models," Papers 2207.11890, arXiv.org, revised Jul 2022.
    12. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    13. Gonçalves, S. & Rodrigues, T.P. & Chagas, A.L.S., 2020. "The impact of wind power on the Brazilian labor market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    14. Jiang, Zhangsheng & Xu, Chenghao, 2023. "Policy incentives, government subsidies, and technological innovation in new energy vehicle enterprises: Evidence from China," Energy Policy, Elsevier, vol. 177(C).
    15. Jin, Yu & Xi, Haonan & Wang, Xuhui & Ren, Xin & Yuan, Libin, 2022. "Evaluation of the Integration Policy in China: Does the Integration of Culture and Tourism Promote Tourism Development?," Annals of Tourism Research, Elsevier, vol. 97(C).
    16. Brantly Callaway, 2022. "Difference-in-Differences for Policy Evaluation," Papers 2203.15646, arXiv.org.
    17. Adam M. Lavecchia, 2024. "Family‐level responses to the introduction of Tax‐Free Savings Accounts," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 57(1), pages 108-139, February.

  5. Botosaru, Irene & Sasaki, Yuya, 2018. "Nonparametric heteroskedasticity in persistent panel processes: An application to earnings dynamics," Journal of Econometrics, Elsevier, vol. 203(2), pages 283-296.

    Cited by:

    1. Arturas Juodis & Simon Reese, 2018. "The Incidental Parameters Problem in Testing for Remaining Cross-section Correlation," Papers 1810.03715, arXiv.org, revised Feb 2021.
    2. Arellano, Manuel & Blundell, Richard & Bonhomme, Stephane, 2015. "Earnings and Consumption Dynamics: A Nonlinear Panel Data Framework," IZA Discussion Papers 9344, Institute of Labor Economics (IZA).
    3. Okui, Ryo & Yanagi, Takahide, 2019. "Panel data analysis with heterogeneous dynamics," Journal of Econometrics, Elsevier, vol. 212(2), pages 451-475.
    4. Manuel Arellano & Stéphane Bonhomme, 2019. "Recovering Latent Variables by Matching," Working Papers wp2019_1914, CEMFI.
    5. Silvia Sarpietro & Yuya Sasaki & Yulong Wang, 2022. "Non-Existent Moments of Earnings Growth," Papers 2203.08014, arXiv.org, revised Feb 2024.
    6. Dan Ben-Moshe, 2023. "Identifying an Earnings Process With Dependent Contemporaneous Income Shocks," Papers 2303.08460, arXiv.org, revised May 2023.
    7. Kengo Kato & Yuya Sasaki & Takuya Ura, 2021. "Robust inference in deconvolution," Quantitative Economics, Econometric Society, vol. 12(1), pages 109-142, January.
    8. Costanza Naguib & Patrick Gagliardini, 2023. "A Semi-nonparametric Copula Model for Earnings Mobility," Diskussionsschriften dp2302, Universitaet Bern, Departement Volkswirtschaft.
    9. Ben-Moshe, Dan, 2023. "Identifying an earnings process with dependent contemporaneous income shocks," Economics Letters, Elsevier, vol. 230(C).
    10. Botosaru, Irene, 2023. "Time-varying unobserved heterogeneity in earnings shocks," Journal of Econometrics, Elsevier, vol. 235(2), pages 1378-1393.
    11. Irene Botosaru, 2017. "Identifying Distributions in a Panel Model with Heteroskedasticity: An Application to Earnings Volatility," Discussion Papers dp17-11, Department of Economics, Simon Fraser University.

Software components

    Sorry, no citations of software components recorded.

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 9 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 (7) 2012-01-10 2017-08-06 2017-08-20 2018-01-15 2020-08-10 2022-02-07 2023-01-16. Author is listed
  2. NEP-ORE: Operations Research (5) 2017-08-20 2020-08-10 2021-07-19 2022-02-07 2022-02-14. Author is listed
  3. NEP-DCM: Discrete Choice Models (1) 2023-01-16
  4. NEP-HIS: Business, Economic and Financial History (1) 2022-02-14

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, Irene Botosaru 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.