Leonard Goff

Research

Working Papers

• When does IV identification not restrict outcomes?

• Identifying causal effects with subjective outcomes [arXiv version with older title and introduction]

• Treatment effects in bunching designs: the impact of mandatory overtime pay on hours

• Testing identifying assumptions in parametric separable models: a conditional moment inequality approach (with Désiré Kédagni and Huan Wu)

Some other work in progress

• Strategic wage concealment and labor market power (with Matt Knepper and Ian Schmutte)
• Measuring and decomposing bias: evidence from corruption complaints in Peru (with Michael Best, Jonas Hjort, Dafne Murillo, and Gastón Pierri)
• The welfare effects of conditioning the potential duration of UI benefits on prior work history (with Simon Quach)
• Simplified inference for linear systems (with Eric Mbakop)
• RDD without a discontinuity (with Junlong Feng)

Publications

• A Vector Monotonicity Assumption for Multiple Instruments Journal of Econometrics. Vol 241 (2024).
  [Online Appendix] [Ungated arXiv version]
• Interactions between Family and School Environments: Access to Abortion and Selective Schools (with Ofer Malamud, Cristian Pop-Eleches and Miguel Urquiola). [Ungated version]
  • Journal of Human Resources., Vol. 8 (2023).
• Pure-Chance Jobs vs. a Labor Market: The Impact on Careers of a Random Serial Dictatorship for First Job Seekers (with Ashna Arora and Jonas Hjort)
  • American Economic Association Papers & Proceedings, Vol. 111 (2021).
• Does Forest Certification Stem Tropical Deforestation? Forest Stewardship Council Certification in Mexico (with Allen Blackman and Marisol Rivera Planter)
  • Journal of Environmental Economics and Management, Vol. 89 (2018).
• Should We Treat Data as Labor? Moving Beyond `Free' (with Imanol Arrieta Ibarra, Diego Jiménez Hernández, Jaron Lanier and Glen Weyl)
  • American Economic Association Papers & Proceedings, Vol. 108 (2018).
• Inequality of Subjective Well-Being as a Comprehensive Measure of Inequality (with John Helliwell and Guy Mayraz)
  • Economic Inquiry, Vol. 54 (2018), Issue 4.

Teaching Materials

Causal inference in econometrics (Winter 2023; UCalgary ECON715 Advanced Econometrics II)

Class notes: [PDF]

UCalgary Math Camp (since 2022)

Section 1: Probability. [Slides]

Section 2: LLN demo R code [Run Online] [Download] ; CLT demo R code [Run Online] [Download]

See Chapters 3.3 and 4 in "Statistics for Econometrics" notes for more

Statistics for Econometrics (Fall 2021; UGA ECON8070)

Class notes: [PDF]

Senior Honors Thesis Workshop (Fall 2019; Columbia ECON GU4999)

(Professor: Michael Best)

• Getting started with R
  • [Slides]
  • Jupyter notebook: [As webpage] [Download]
  • Example solution to the Project: [R script]
• Getting started with LaTeX
  • Paper template: [Tex] [Zip]
  • Beamer presentation template: [Tex] [Zip]
  • HTML presentations: [Example] [Beamer inspired theme]

Microeconometrics (Fall 2018; Columbia ECON GR6414)

(Professors: Simon Lee and Joshua Angrist)


• [Recitation notes]

Code

Visit my Github

Some software projects:

• ivcombine function in Stata for IV estimation with multiple instruments under a relaxed monotonicity assumption
  • This is a work in progress, accompanying the paper: A Vector Monotonicity Assumption for Multiple Instruments.
  • [Download from GitHub]
• rdbounds function (Stata and R) for bounds in regression discontinuity designs allowing for manipulation
  • This is work with François Gerard, Miikka Rokkanen & Christoph Rothe, to implement the estimator proposed in their paper: Bounds on Treatment Effects in Regression Discontinuity Designs with a Manipulated Running Variable.
  • [Download from GitHub]
• Forest Conservation Targeting Tool
  • This is work with Allen Blackman, Jessica Chu, and Juha Siikamäki, and the SERVIR project. It was one of my projects while a Research Assistant at Resources for the Future.
  • [Tool] [Paper]