Grants per year
Personal profile
Research Interests
Estimation and inference under weak assumptions about the process that generates the available data; improving the accuracy of inference with samples of practical size and with using shape restrictions provided by economic theory to improve estimation and inference.
Education/Academic qualification
Physics, PhD, Cornell University
… → 1967
Physics, BS, Stanford University
… → 1962
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Dive into the research topics where Joel L Horowitz is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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HDR TRIPODS: Collaborative Research: Institute for Data, Econometrics, Algorithms and Learning .
Hartline, J. D., Berry, R. A., Canay, I. A., Vijayaraghavan, A., Wang, Z., Auerbach, E. J., Guo, D., Horowitz, J. L., Khuller, S. & Makarychev, K.
9/15/19 → 8/31/22
Project: Research project
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Estimation and Inference with Nonparametric and High-Dimensional Econometric Models
9/1/08 → 8/31/12
Project: Research project
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Collaborative Research: Penalized Methods for Variable Selection and Estimation in High-Dimensional Models
8/15/07 → 7/31/08
Project: Research project
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Research Output
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Bounding the difference between true and nominal rejection probabilities in tests of hypotheses about instrumental variables models
Horowitz, J. L., Jun 2021, In: Journal of Econometrics. 222, 2, p. 1057-1082 26 p.Research output: Contribution to journal › Article › peer-review
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Using penalized likelihood to select parameters in a random coefficients multinomial logit model
Horowitz, J. L. & Nesheim, L., May 2021, In: Journal of Econometrics. 222, 1, p. 44-55 12 p.Research output: Contribution to journal › Article › peer-review
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Bootstrap Methods in Econometrics
Horowitz, J. L., Aug 2 2019, In: Annual Review of Economics. 11, p. 193-224 32 p.Research output: Contribution to journal › Article › peer-review
14 Scopus citations -
A bootstrap method for constructing pointwise and uniform confidence bands for conditional quantile funtions
Horowitz, J. L. & Krishnamurthy, A., Oct 2018, In: Statistica Sinica. 28, 4, p. 2609-2632 24 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Bias-Corrected Confidence Intervals in a Class of Linear Inverse Problems
Horowitz, J. L., Florens, J-P. & Van Keilegom, I., 2017, In: Annals of Economics and Statistics / Annales d'Économie et de Statistique. 128, p. 203-228 26 p.Research output: Contribution to journal › Article