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Marcelo J. Moreira

7 papers hereh-index 6212 citations12 works total

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

author position
  • sole author1
  • first author4
  • last author2

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • econ.EM4
  • math.ST3
same name
  • Marcelo J. Moreira — 7 papers, h 16
  • Marcelo J. Moreira — 1 paper, h 1

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
20092026
most citedA maximum likelihood method for the incidental parameter problem

38 citations · 38 across the 6 of their papers we have counts for

collaborators
Showing econ.EMShow all

4 papers · 1 filter

econ.EM2026

Continuously Updating GMM in Linear IV Models: A Polynomial Approach

Marcelo J. Moreira, Whitney K. Newey, Mahrad Sharifvaghefi

This paper characterizes the global minimum of the continuously updating generalized method of moments (CU-GMM) objective in linear instrumental variables models. We allow optimal…

econ.EM2026

Properties of the Conditional Likelihood Ratio Test under Discrete Approximation

Marcelo J. Moreira, Mahrad Sharifvaghefi

The conditional likelihood ratio (CLR) test is a valuable tool for inference under weak identification, with appealing theoretical properties in both linear and non-linear settings…

econ.EM2026

Confidence Sets under Weak Identification: Theory and Practice

Gustavo Schlemper, Marcelo J. Moreira

We develop new methods for constructing confidence sets and intervals in linear instrumental variables (IV) models based on tests that remain valid under weak identification and un…

econ.EM2026

Power Bounds and Efficiency Loss for Asymptotically Optimal Tests in IV Regression

Marcelo J. Moreira, Geert Ridder, Mahrad Sharifvaghefi

We characterize the maximal attainable power-size gap in overidentified instrumental variables models with heteroskedastic or autocorrelated (HAC) errors. Using total variation dis…

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