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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. Louise Laage, 2021. "A Correlated Random Coefficient Panel Model with Time-Varying Endogeneity," Working Papers gueconwpa~21-21-10, Georgetown University, Department of Economics.
  3. 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.
  4. Louise Laage, 2020. "A Correlated Random Coefficient Panel Model with Time-Varying Endogeneity," Papers 2003.09367, arXiv.org, revised Nov 2022.
  5. 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. 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. Christian Gourieroux & Joann Jasiak, 2022. "Structural Modelling of Dynamic Networks and Identifying Maximum Likelihood," Papers 2211.11876, arXiv.org.
    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. Irene Botosaru & Chris Muris & Senay Sokullu, 2022. "Time-Varying Linear Transformation Models with Fixed Effects and Endogeneity for Short Panels," Department of Economics Working Papers 2022-01, McMaster University.
    4. Irene Botosaru & Isaac Loh & Chris Muris, 2024. "An Adversarial Approach to Identification," Papers 2411.04239, arXiv.org, revised Dec 2024.
    5. 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.

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

    Cited by:

    1. 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.
    2. Ming Li, 2021. "Identification and Estimation in a Time-Varying Endogenous Random Coefficient Panel Data Model," Papers 2110.00982, arXiv.org, revised Feb 2026.

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

    Cited by:

    1. Lara Delsalle & Oleksii Birulin, 2024. "Family-oriented versus career seekers: mixture regression separation," Empirical Economics, Springer, vol. 67(1), pages 313-335, July.
    2. 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.
    3. Bunting, Jackson & Diegert, Paul & Maurel, Arnaud, 2025. "Heterogeneity, Uncertainty and Learning: Semiparametric Identification and Estimation," IZA Discussion Papers 17977, IZA Network @ LISER.
    4. 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".
    5. 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.
    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. 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.
    8. Philip A Haile & Yuichi Kitamura, 2019. "Unobserved heterogeneity in auctions," The Econometrics Journal, Royal Economic Society, vol. 22(1), pages 1-19.
    9. Bhakta, Raju & Kayal, Suchandan & Balakrishnan, Narayanaswamy, 2024. "Ordering results between two multiple-outlier finite δ-mixtures," Statistics & Probability Letters, Elsevier, vol. 213(C).

Articles

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

    Cited by:

    1. Whitney K. Newey & Sami Stouli, 2025. "Identification of treatment effects under limited exogenous variation," CeMMAP working papers 06/25, Institute for Fiscal Studies.
    2. 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).
    3. Muris, Chris & Wacker, Konstantin M., 2025. "Estimating interaction effects with panel data," GLO Discussion Paper Series 1583, Global Labor Organization (GLO).
    4. Liu, Laura & Poirier, Alexandre & Shiu, Ji-Liang, 2025. "Identification and estimation of partial effects in nonlinear semiparametric panel models," Journal of Econometrics, Elsevier, vol. 252(PB).

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

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