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SISCER Module 12 Lecture 5: Instrumental variables
https://www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/L5.pdf29 Apr 2024: I The exposure variable Xi is called confounded or endogenous if it is correlatedwith Ui (or equivalently, if Vi is correlated with Ui ). 9 / 15. Why IV and basics Examples of -
Mendelian randomization
https://www.statslab.cam.ac.uk/~qz280/talk/mr-tutorial/slides.pdf29 Apr 2024: Exogeneity: Zi (Ui, Vi );3. Exclusion restriction: α = 0. I The exposure variable Xi is called confounded or endogenous if it iscorrelated with Ui (or equivalently, if Vi is correlated with -
Curriculum Vitae
https://www.statslab.cam.ac.uk/~qz280/files/cv.pdf20 Mar 2024: S. Small, “ivmodel: An R package for inference andsensitivity analysis of instrumental variables models with one endogenous variable,” Ob-servational Studies, vol. -
Two-Sample Instrumental Variable Analysis: Challenges and Some…
https://www.statslab.cam.ac.uk/~qz280/publication/two-sample-iv/slides.pdf29 Apr 2024: The two-sample instrumental variable problem. Suppose only Za, xa, Zb, and yb are observed (in other wordsya and xb are not observed).If x is endogenous, what can we learn -
ks_nov99.dvi
https://www.statslab.cam.ac.uk/~frank/AUCTION/auction.pdf4 Nov 1999: that in a settingwith a single property or where all the properties are independent (i.e., no synergies),an optimal auction design entails endogenous market structure.
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