IDEAS home Printed from https://ideas.repec.org/r/eee/econom/v200y2017i2p154-168.html

The econometrics of unobservables: Applications of measurement error models in empirical industrial organization and labor economics

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Eduardo Souza-Rodrigues & Adrian L. Torchiana & Ted Rosenbaum & Paul T. Scott, 2020. "Improving Estimates of Transitions from Satellite Data: A Hidden Markov Model Approach," Working Papers tecipa-672, University of Toronto, Department of Economics.
  2. Shibata, Ippei, 2022. "Reassessing classification errors in the analysis of labor market dynamics," Labour Economics, Elsevier, vol. 78(C).
  3. Ashesh Rambachan & Rahul Singh & Davide Viviano, 2024. "Program Evaluation with Remotely Sensed Outcomes," Papers 2411.10959, arXiv.org, revised Oct 2025.
  4. Daisuke Kurisu & Taisuke Otsu, 2019. "On the uniform convergence of deconvolution estimators from repeated measurements," STICERD - Econometrics Paper Series 604, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  5. Yingyao Hu & Yang Liu & Jiaxiong Yao, 2022. "Revealing Unobservables by Deep Learning: Generative Element Extraction Networks (GEEN)," Papers 2210.01300, arXiv.org.
  6. Kurisu, Daisuke & Otsu, Taisuke, 2022. "On the uniform convergence of deconvolution estimators from repeated measurements," LSE Research Online Documents on Economics 107533, London School of Economics and Political Science, LSE Library.
  7. Ekaterina Oparina & Sorawoot Srisuma, 2022. "Analyzing Subjective Well-Being Data with Misclassification," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 730-743, April.
  8. Laura Liu, 2018. "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," Papers 1805.04178, arXiv.org, revised Oct 2021.
  9. Rafael Araujo & Vitor Possebom, 2025. "Potato Potahto in the FAO-GAEZ Productivity Measures? Nonclassical Measurement Error with Multiple Proxies," Papers 2502.12141, arXiv.org, revised Apr 2026.
  10. Lin, Zhongjian & Hu, Yingyao, 2024. "Binary choice with misclassification and social interactions, with an application to peer effects in attitude," Journal of Econometrics, Elsevier, vol. 238(1).
  11. Schennach, Susanne M., 2020. "Mismeasured and unobserved variables," Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 487-565, Elsevier.
  12. Shoya Ishimaru, 2026. "Estimating Treatment Effects in Panel Data Without Parallel Trends," Papers 2601.08281, arXiv.org.
  13. Hahn, Jinyong & Ridder, Geert, 2017. "Instrumental variable estimation of nonlinear models with nonclassical measurement error using control variables," Journal of Econometrics, Elsevier, vol. 200(2), pages 238-250.
  14. Yong Cai, 2022. "Linear Regression with Centrality Measures," Papers 2210.10024, arXiv.org, revised Mar 2026.
  15. Luo, Yao, 2020. "Unobserved heterogeneity in auctions under restricted stochastic dominance," Journal of Econometrics, Elsevier, vol. 216(2), pages 354-374.
  16. Jochmans, Koen, 2025. "Identification in Models for Matched Panel Data with Two-Sided Random Effects," TSE Working Papers 25-1649, Toulouse School of Economics (TSE), revised Mar 2026.
  17. Kenichi Nagasawa, 2018. "Treatment Effect Estimation with Noisy Conditioning Variables," Papers 1811.00667, arXiv.org, revised Sep 2022.
  18. Brantly Callaway & Tong Li & Irina Murtazashvili & Emmanuel Tsyawo, 2021. "Distributional Effects with Two-Sided Measurement Error: An Application to Intergenerational Income Mobility," Papers 2107.09235, arXiv.org, revised Sep 2025.
  19. Chen, Linkun & Clarke, Philip M. & Petrie, Dennis J. & Staub, Kevin E., 2021. "The effects of self-assessed health: Dealing with and understanding misclassification bias," Journal of Health Economics, Elsevier, vol. 78(C).
  20. Vitor Possebom, 2026. "Crime and Mismeasured Punishment: Marginal Treatment Effect with Misclassification," The Review of Economics and Statistics, MIT Press, vol. 108(1), pages 44-56, January.
  21. An, Yonghong & Hong, Shengjie & Zhang, Daiqiang, 2023. "A structural analysis of simple contracts," Journal of Econometrics, Elsevier, vol. 236(2).
  22. Erhao Xie, 2018. "Inference in Games Without Nash Equilibrium: An Application to Restaurants, Competition in Opening Hours," Staff Working Papers 18-60, Bank of Canada.
  23. Hao Dong & Taisuke Otsu & Luke Taylor, 2022. "Nonparametric estimation of additive models with errors-in-variables," Econometric Reviews, Taylor & Francis Journals, vol. 41(10), pages 1164-1204, November.
  24. Sun, Jiandong & Feng, Shuaizhang & Hu, Yingyao, 2021. "Misclassification errors in labor force statuses and the early identification of economic recessions," Journal of Asian Economics, Elsevier, vol. 75(C).
  25. Manuel Arellano & Orazio Attanasio & Samuel Crossman & Víctor Sancibrián, 2024. "Estimating Flexible Income Processes from Subjective Expectations Data: Evidence from India and Colombia," NBER Working Papers 32922, National Bureau of Economic Research, Inc.
  26. Yingyao Hu & Jiaxiong Yao, 2019. "Illuminating Economic Growth," IMF Working Papers 2019/077, International Monetary Fund.
  27. Luo, Yao & Xiao, Ruli, 2023. "Identification of auction models using order statistics," Journal of Econometrics, Elsevier, vol. 236(1).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.