Electronic waste analysis using laser-induced breakdown spectroscopy (LIBS) and X-ray fluorescence (XRF): Critical evaluation of data fusion for the determination of …

DS Ferreira, FMV Pereira, AC Olivieri… - Analytica Chimica …, 2024 - Elsevier
Background Electronic waste (e-waste) proliferation and its implications underscore the
imperative for advanced analytical methods to mitigate its environmental impact. It is …

Profile GMM estimation of panel data models with interactive fixed effects

S Hong, L Su, T Jiang - Journal of Econometrics, 2023 - Elsevier
This paper studies panel data models with interactive fixed effects where the regressors are
allowed to be correlated with the idiosyncratic error terms. We propose a two-step profile …

Policy targeting under network interference

D Viviano - Review of Economic Studies, 2024 - academic.oup.com
This article studies the problem of optimally allocating treatments in the presence of spillover
effects, using information from a (quasi-) experiment. I introduce a method that maximizes …

[КНИГА][B] Estimating peer effects using partial network data

V Boucher, A Houndetoungan - 2020 - colorado.edu
We study the estimation of peer effects through social networks when researchers do not
observe the network structure. Instead, we assume that researchers know (have a consistent …

Endogenous social interactions with unobserved networks

M Battaglini, E Patacchini… - The Review of Economic …, 2022 - academic.oup.com
We present a model of endogenous network formation to recover unobserved social
networks using only observable outcomes. We propose a novel equilibrium concept that …

Robust estimation and inference in panels with interactive fixed effects

TB Armstrong, M Weidner, A Zeleneev - arxiv preprint arxiv:2210.06639, 2022 - arxiv.org
We consider estimation and inference for a regression coefficient in panels with interactive
fixed effects (ie, with a factor structure). We show that previously developed estimators and …

Spectral inference for large stochastic blockmodels with nodal covariates

A Mele, L Hao, J Cape, CE Priebe - arxiv preprint arxiv:1908.06438, 2019 - arxiv.org
In many applications of network analysis, it is important to distinguish between observed and
unobserved factors affecting network structure. To this end, we develop spectral estimators …

Social inequality and the spread of misinformation

M Mostagir, J Siderius - Management Science, 2023 - pubsonline.informs.org
We study the spread of misinformation in a social network characterized by unequal access
to learning resources. Agents use social learning to uncover an unknown state of the world …

Endogenous Interference in Randomized Experiments

M Gao - arxiv preprint arxiv:2412.02183, 2024 - arxiv.org
This paper investigates the identification and inference of treatment effects in randomized
controlled trials with social interactions. Two key network features characterize the setting …

[PDF][PDF] Policy design in experiments with unknown interference

D Viviano, J Rudder - arxiv preprint arxiv:2011.08174, 2024 - aeaweb.org
This paper studies experimental designs for estimation and inference on welfaremaximizing
policies in the presence of spillover effects. I consider a setting where units are organized …