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Yuya Sasaki

41 papers hereh-index 16715 citations105 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author12
  • middle author9
  • last author19

Across the 40 of 41 papers where every author was matched, so the position is known.

fields
  • econ.EM30
  • math.ST4
  • stat.ME4
  • econ.GN2
  • stat.ML1
same name
  • Yuya Sasaki — 23 papers, h 13
  • Yuya Sasaki — 8 papers, h 2
  • Yuya Sasaki — 8 papers, h 5
  • Yuya Sasaki — 3 papers, h 2
  • Yuya Sasaki — 2 papers, h 2
  • Yuya Sasaki — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedNonparametric Difference-in-Differences in Repeated Cross-Sections with Continuous Treatments

33 citations · 124 across the 37 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

econ.EM2026

Generic Covariate Adjustment for Regression Discontinuity Designs

Jun Ma, Yuya Sasaki, Zhengfei Yu

It is standard practice to include covariates in regression discontinuity designs (RDDs) and regression kink designs (RKDs), but the theoretical justification for doing so does not…

econ.EM2026

Inference for High-Dimensional Network Data

Yuya Sasaki, Baoning Zheng

We develop a novel method of inference for network-dependent high-dimensional random vectors. Dependence is characterized via a functional dependence measure based on graph distanc…

econ.EM2026

Bounds for Standard Errors in Combined Data

Jooyoung Cha, Yuya Sasaki, Nelson Matthew P. Tan

We propose methods for constructing lower bounds on the standard errors of parameters estimated from moment conditions obtained across different samples. Sharp explicit bounds are…

econ.EM2026

Choosing A Headline Estimand from Matching, DID, and Hybrid Designs: A Minimax-Regret Approach

Yechan Park, Yuya Sasaki

Researchers using panel data to estimate causal effects routinely choose among three approaches to using past outcomes: difference-in-differences (DID), conditioning on lagged outc…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.