d'Artis Kancs

Economics and Econometrics · 2009–2017

A researcher in the Science corpus: 5 papers; trusts 25 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom d'Artis Kancs trusts overall

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

  1. Ilke Van Beveren
  2. Daniel A. Ackerberg
  3. Paul R. Rosenbaum
  4. J. Levinsohn
  5. Keisuke Hirano
  6. Ulrich Doraszelski
  7. D. Leahy
  8. Sascha O. Becker
  9. Donald B. Rubin
  10. R. Ortega-Argilés

Who trusts d'Artis Kancs overall

  1. Paraskevi Katsiampa
  2. Elie Bouri
  3. Shaen Corbet
  4. Brian M. Lucey
  5. Huisu Jang
  6. Jamal Bouoiyour

Papers from d'Artis Kancs's perspective

Ordered by how strongly the researchers d'Artis Kancs trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Estimating Production Functions Using Inputs to Control for Unobservables
  2. R&D and Productivity: Estimating Endogenous Productivity
  3. The central role of the propensity score in observational studies for causal effects
  4. The Anatomy and Evolution of Industries
  5. Econometric Tools for Analyzing Market Outcomes
  6. The Propensity Score with Continuous Treatments
  7. Chapter 63 Econometric Tools for Analyzing Market Outcomes
  8. BitCoin meets Google Trends and Wikipedia: Quantifying the relationship between phenomena of the Internet era (Scientific Reports)
  9. Is Corporate R&D Investment in High-Tech Sectors More Effective? Some Guidelines for European Research Policy (Social Science Research Network)
  10. MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY

Their papers