H. Schwandt

Economics and Econometrics · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom H. Schwandt trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Colin Cameron
  2. Zhuan Pei
  3. Jonah B. Gelbach
  4. Till M. von Wachter
  5. Paul D. Oyer
  6. Jörn-Steffen Pischke
  7. Angus Deaton
  8. Philip Oreopoulos
  9. R. D. Blander
  10. Michael L. Anderson

Who trusts H. Schwandt overall

  1. Till M. von Wachter
  2. Erik Lindqvist

Papers from H. Schwandt's perspective

Ordered by how strongly the researchers H. Schwandt trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Mostly Harmless Econometrics: An Empiricist's Companion
  2. Specification tests in econometrics
  3. Double/debiased machine learning for treatment and structural parameters
  4. Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools
  5. Double/Debiased/Neyman Machine Learning of Treatment Effects
  6. High-Dimensional Methods and Inference on Structural and Treatment Effects
  7. In Pursuit of Balance: Randomization in Practice in Development Field Experiments
  8. Stature and Status: Height, Ability, and Labor Market Outcomes (Journal of Political Economy)
  9. When Do Covariates Matter? And Which Ones, and How Much? (Journal of Labor Economics)
  10. Misclassification of the dependent variable in a discrete-response setting

Their papers