Charlotte J Tuttle

Economics and Econometrics · 2015

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Charlotte J Tuttle trusts overall

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

  1. Daniel E. Ho
  2. Tim Beatty
  3. Joshua D. Angrist
  4. Jörn-Steffen Pischke
  5. Josh Angrist

Papers from Charlotte J Tuttle's perspective

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

  1. Mostly Harmless Econometrics: An Empiricist's Companion
  2. MatchIt: Nonparametric Preprocessing for Parametric Causal Inference
  3. The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con Out of Econometrics (Social Science Research Network)
  4. Cash by Any Other Name? Evidence on Labelling from the UK Winter Fuel Payment
  5. Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported
  6. Statistics and Causal Inference
  7. The central role of the propensity score in observational studies for causal effects
  8. Longitudinal Analysis of Labor Market Data.
  9. [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
  10. Evaluating the Econometric Evaluations of Training Programs with Experimental Data

Their papers