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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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Institute for Data, Econometrics, Algorithms and Learning (IDEAL)
Vijayaraghavan, A., Vijayaraghavan, A., Berry, R. A., Berry, R. A., Hartline, J. D., Hartline, J. D., Khuller, S., Khuller, S., Nocedal, J., Nocedal, J., Auerbach, E. J., Auerbach, E. J., Auffinger, A., Auffinger, A., Bugni, F. A., Bugni, F. A., Canay, I. A., Canay, I. A., Gaudio, J., Gaudio, J., Golub, B., Golub, B., Guo, D., Guo, D., Horowitz, J. L., Horowitz, J. L., Hullman, J. R., Hullman, J. R., Liang, A., Liang, A., Linna Jr., D. W., Linna Jr., D. W., Makarychev, K., Makarychev, K., Wang, Z., Wang, Z., Wei, E. & Wei, E.
9/1/22 → 8/31/27
Project: Research project
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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 → 8/31/23
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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Inference in a Class of Optimization Problems: Confidence Regions and Finite Sample Bounds on Errors in Coverage Probabilities
Horowitz, J. L. & Lee, S., 2023, In: Journal of Business and Economic Statistics. 41, 3, p. 927-938 12 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
ESTIMATION OF A HETEROGENEOUS DEMAND FUNCTION WITH BERKSON ERRORS
Blundell, R., Horowitz, J. & Parey, M., Sep 2022, In: Review of Economics and Statistics. 104, 5, p. 877-889 13 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
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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Permutation tests for equality of distributions of functional data
Bugni, F. A. & Horowitz, J. L., Nov 1 2021, In: Journal of Applied Econometrics. 36, 7, p. 861-877 17 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Testing exogeneity in nonparametric instrumental variables models identified by conditional quantile restrictions
Fu, J. Y. M., Horowitz, J. L. & Parey, M., Jan 1 2021, In: Econometrics Journal. 24, 1, p. 23-40 18 p.Research output: Contribution to journal › Article › peer-review
Datasets
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Replication Data for: Estimation of a Heterogeneous Demand Function with Berkson Errors
Blundell, R. (Creator), Horowitz, J. L. (Creator) & Parey, M. (Creator), Harvard Dataverse, 2021
DOI: 10.7910/dvn/1h3cpo, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/1H3CPO
Dataset