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Liang Chen

4 papers hereh-index 3170 citations18 works total

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

author position
  • sole author2
  • first author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • econ.EM2
  • cs.CR1
  • q-fin.RM1
same name
  • Liang Chen — 25 papers, h 28
  • Liang Chen — 25 papers, h 9
  • Liang Chen — 17 papers, h 16
  • Liang Chen — 17 papers, h 11
  • Liang Chen — 16 papers, h 8
  • Liang Chen — 16 papers, h 9

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
20192026
most citedNonparametric Quantile Regressions for Panel Data Models with Large T

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

q-fin.RM2026

Multiplicative Contractions, Additive Recoveries: Functional-Form Restrictions on Risk Exposure Dynamics

Liang Chen

We test a regime-conditional functional-form restriction on aggregate risk-exposure dynamics implied by VaR-constrained intermediary models: exposures contract multiplicatively whe…

cs.CR2022★ 1 cited

DiPPS: Differentially Private Propensity Scores for Bias Correction

Liangwei Chen, Valentin Hartmann, Robert West

In surveys, it is typically up to the individuals to decide if they want to participate or not, which leads to participation bias: the individuals willing to share their data might…

econ.EM2019

A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions

Liang Chen, Yulong Huo

Canay (2011)'s two-step estimator of quantile panel data models, due to its simple intuition and low computational cost, has been widely used in empirical studies in recent years.…

econ.EM2019★ 1 cited

Nonparametric Quantile Regressions for Panel Data Models with Large T

Liang Chen

This paper considers panel data models where the conditional quantiles of the dependent variables are additively separable as unknown functions of the regressors and the individual…

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