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20202026
most citedDynamic Causal Effects in a Nonlinear World: the Good, the Bad, and the Ugly

3 citations · 4 across the 3 of their papers we have counts for

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Showing econ.EMShow all

10 papers · 1 filter

econ.EM2026

Limited-Information Estimation of Heterogeneous Agent Models

Laura Liu, Mikkel Plagborg-Møller, Nelson Matthew P. Tan

We develop a method for estimating and testing a single block of a macroeconomic model with heterogeneous agents, without placing assumptions on the structure of the rest of the ec…

econ.EM2025★ 1 cited

Local Projections or VARs? A Primer for Macroeconomists

José Luis Montiel Olea, Mikkel Plagborg-Møller, Eric Qian +1

What should applied macroeconomists know about local projection (LP) and vector autoregression (VAR) impulse response estimators? The two methods share the same estimand, but in fi…

econ.EM2024★ 3 cited

Dynamic Causal Effects in a Nonlinear World: the Good, the Bad, and the Ugly

Michal Kolesár, Mikkel Plagborg-Møller

Applied macroeconomists frequently use impulse response estimators motivated by linear models. We study whether the estimands of such procedures have a causal interpretation when t…

econ.EM2024

Double Robustness of Local Projections and Some Unpleasant VARithmetic

José Luis Montiel Olea, Mikkel Plagborg-Møller, Eric Qian +1

We consider impulse response inference in a locally misspecified vector autoregression (VAR) model. The conventional local projection (LP) confidence interval has correct coverage…

econ.EM2021

Standard Errors for Calibrated Parameters

Matthew D. Cocci, Mikkel Plagborg-Møller

Calibration, the practice of choosing the parameters of a structural model to match certain empirical moments, can be viewed as minimum distance estimation. Existing standard error…

econ.EM2021

Local Projections vs. VARs: Lessons From Thousands of DGPs

Dake Li, Mikkel Plagborg-Møller, Christian K. Wolf

We conduct a simulation study of Local Projection (LP) and Vector Autoregression (VAR) estimators of structural impulse responses across thousands of data generating processes, des…