activity
20182026
most citedToo Big to Monitor? Network Scale and the Breakdown of Decentralized Monitoring

1 citations · 2 across the 12 of their papers we have counts for

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Showing econ.EMShow all

9 papers · 1 filter

econ.EM2026

Who Matters to Whom? Identifying Peer Effects with Propagation Geometry

Guy Tchuente

This paper develops a unifying theory of peer effects that treats the peer aggregator (the social norm mapping peers' actions into a scalar exposure) as the central behavioral prim…

econ.EM2026

Distributional Instruments: Identification and Estimation with Quantile Least Squares

Rowan Cherodian, Guy Tchuente

We study instrumental-variable designs where policy reforms strongly shift the distribution of an endogenous variable but only weakly move its mean. We formalize this by introducin…

econ.EM2024

Monetary Incentives, Landowner Preferences: Estimating Cross-Elasticities in Farmland Conversion to Renewable Energy

Chad Fiechter, Binayak Kunwar, Guy Tchuente

This study examines the impact of monetary factors on the conversion of farmland to renewable energy generation, specifically solar and wind, in the context of expanding U.S. energ…

econ.EM2024

Moran's I 2-Stage Lasso: for Models with Spatial Correlation and Endogenous Variables

Sylvain Barde, Rowan Cherodian, Guy Tchuente

We propose a novel estimation procedure for models with endogenous variables in the presence of spatial correlation based on Eigenvector Spatial Filtering. The procedure, called Mo…

econ.EM20231 cited

Moran's I Lasso for models with spatially correlated data

Sylvain Barde, Rowan Cherodian, Guy Tchuente

This paper proposes a Lasso-based estimator which uses information embedded in the Moran statistic to develop a selection procedure called Moran's I Lasso (Mi-Lasso) to solve the E…

econ.EM2021

A Note on the Topology of the First Stage of 2SLS with Many Instruments

Guy Tchuente

The finite sample properties of estimators are usually understood or approximated using asymptotic theories. Two main asymptotic constructions have been used to characterize the pr…