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Louise Laage

Personal Details

First Name:Louise
Middle Name:
Last Name:Laage
Suffix:
RePEc Short-ID:pla1188
[This author has chosen not to make the email address public]

Affiliation

Economics Department
Georgetown University

Washington, District of Columbia (United States)
http://econ.georgetown.edu/
RePEc:edi:edgeous (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Yuichi Kitamura & Louise Laage, 2024. "Estimating Stochastic Block Models in the Presence of Covariates," Papers 2402.16322, arXiv.org.
  2. Laurent Davezies & Xavier D'Haultf{oe}uille & Louise Laage, 2021. "Identification and Estimation of Average Causal Effects in Fixed Effects Logit Models," Papers 2105.00879, arXiv.org, revised Dec 2024.
  3. Louise Laage, 2020. "A Correlated Random Coefficient Panel Model with Time-Varying Endogeneity," Papers 2003.09367, arXiv.org, revised Nov 2022.
  4. Yuichi Kitamura & Louise Laage, 2018. "Nonparametric Analysis of Finite Mixtures," Papers 1811.02727, arXiv.org.

Articles

  1. Laage, Louise, 2024. "A Correlated Random Coefficient panel model with time-varying endogeneity," Journal of Econometrics, Elsevier, vol. 242(2).

Software components

  1. Laurent Davezies & Xavier D'Haultfoeuille & Christophe Gaillac & Louise Laage, 2021. "MFELOGIT: Stata module to estimate marginal effects (AME) and average treatment effects (ATE) in fixed effect logit models," Statistical Software Components S458969, Boston College Department of Economics.

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. Yuichi Kitamura & Louise Laage, 2024. "Estimating Stochastic Block Models in the Presence of Covariates," Papers 2402.16322, arXiv.org.

    Cited by:

    1. Eric Auerbach & Jonathan Auerbach & Sidonia McKenzie, 2026. "Post-Selection Inference for Network Structure," Papers 2607.00312, arXiv.org, revised Jul 2026.

  2. Laurent Davezies & Xavier D'Haultf{oe}uille & Louise Laage, 2021. "Identification and Estimation of Average Causal Effects in Fixed Effects Logit Models," Papers 2105.00879, arXiv.org, revised Dec 2024.

    Cited by:

    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. Kevin Dano & Bo E. Honor'e & Martin Weidner, 2025. "Binary choice logit models with general fixed effects for panel and network data," Papers 2508.11556, arXiv.org.
    3. Laura Liu & Alexandre Poirier & Ji-Liang Shiu, 2021. "Identification and Estimation of Partial Effects in Nonlinear Semiparametric Panel Models," Papers 2105.12891, arXiv.org, revised Jul 2024.
    4. Christian Gourieroux & Joann Jasiak, 2022. "Structural Modelling of Dynamic Networks and Identifying Maximum Likelihood," Papers 2211.11876, arXiv.org.
    5. Irene Botosaru & Isaac Loh & Chris Muris, 2024. "An Adversarial Approach to Identification," Papers 2411.04239, arXiv.org, revised Dec 2024.

  3. Louise Laage, 2020. "A Correlated Random Coefficient Panel Model with Time-Varying Endogeneity," Papers 2003.09367, arXiv.org, revised Nov 2022.

    Cited by:

    1. Ming Li, 2021. "Identification and Estimation in a Time-Varying Endogenous Random Coefficient Panel Data Model," Papers 2110.00982, arXiv.org, revised Feb 2026.
    2. Laura Liu & Alexandre Poirier & Ji-Liang Shiu, 2021. "Identification and Estimation of Partial Effects in Nonlinear Semiparametric Panel Models," Papers 2105.12891, arXiv.org, revised Jul 2024.
    3. Chen, Muzi & Li, Geng & Li, Nan & Yang, Xiaoguang & Trainor, William J., 2025. "Impact of regional digital economy on default recovery: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 101(C).
    4. Muris, Chris & Wacker, Konstantin M., 2025. "Estimating interaction effects with panel data," GLO Discussion Paper Series 1583, Global Labor Organization (GLO).
    5. Whitney K. Newey & Sami Stouli, 2025. "Identification of treatment effects under limited exogenous variation," CeMMAP working papers 06/25, Institute for Fiscal Studies.

  4. Yuichi Kitamura & Louise Laage, 2018. "Nonparametric Analysis of Finite Mixtures," Papers 1811.02727, arXiv.org.

    Cited by:

    1. Victor H. Aguiar & Nail Kashaev & Roy Allen, 2022. "Prices, Profits, Proxies, and Production," University of Western Ontario, Departmental Research Report Series 20226, University of Western Ontario, Department of Economics.
    2. Giovanni Compiani & Philip A. Haile & Marcelo Sant'Anna, 2018. "Common Values, Unobserved Heterogeneity, and Endogenous Entry in U.S. Offshore Oil Lease Auctions," Cowles Foundation Discussion Papers 2137R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2019.
    3. Lara Delsalle & Oleksii Birulin, 2024. "Family-oriented versus career seekers: mixture regression separation," Empirical Economics, Springer, vol. 67(1), pages 313-335, July.
    4. Stefan Seifert & Silke Hüttel, 2023. "Is there a risk of a winner’s curse in farmland auctions?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(3), pages 1140-1177.
    5. Seifert, Stefan & Hüttel, Silke, 2020. "Common values and unobserved heterogeneity in farmland auctions in Germany," FORLand Working Papers 21 (2020), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    6. Pasha Andreyanov & El Hadi Caoui, 2022. "Secret reserve prices by uninformed sellers," Quantitative Economics, Econometric Society, vol. 13(3), pages 1203-1256, July.
    7. Bhakta, Raju & Kayal, Suchandan & Balakrishnan, Narayanaswamy, 2024. "Ordering results between two multiple-outlier finite δ-mixtures," Statistics & Probability Letters, Elsevier, vol. 213(C).
    8. Philip A Haile & Yuichi Kitamura, 2019. "Unobserved heterogeneity in auctions," The Econometrics Journal, Royal Economic Society, vol. 22(1), pages 1-19.
    9. Bunting, Jackson & Diegert, Paul & Maurel, Arnaud, 2025. "Heterogeneity, Uncertainty and Learning: Semiparametric Identification and Estimation," IZA Discussion Papers 17977, IZA Network @ LISER.

Articles

  1. Laage, Louise, 2024. "A Correlated Random Coefficient panel model with time-varying endogeneity," Journal of Econometrics, Elsevier, vol. 242(2).
    See citations under working paper version above.Sorry, no citations of articles recorded.

Software components

    Sorry, no citations of software components recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 6 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-DCM: Discrete Choice Models (4) 2021-04-19 2021-05-10 2024-04-08 2025-02-10. Author is listed
  2. NEP-ECM: Econometrics (4) 2018-11-19 2020-04-13 2021-05-10 2024-04-08. Author is listed
  3. NEP-NET: Network Economics (1) 2024-04-08
  4. NEP-ORE: Operations Research (1) 2020-04-13

Corrections

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