Copertina

A jackknife bias correction for nonlinear network data models with fixed effects

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Hughes, David W.
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Econometrics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Cluster-robust jackknife and bootstrap inference for logistic regression models
di: MacKinnon, James G., et al.
Pubblicazione: (2024)

Binary choice logit models with general fixed effects for panel and network data
di: Dano, Kevin, et al.
Pubblicazione: (2025)

A quantile-based nonadditive fixed effects model
di: Liu, Xin
Pubblicazione: (2024)

A projection based approach for interactive fixed effects panel data models
di: Keilbar, Georg, et al.
Pubblicazione: (2022)

Grouped fixed effects regularization for binary choice models
di: Pigini, Claudia, et al.
Pubblicazione: (2025)

Linear estimations of dynamic fixed effects logit models only with time effects
di: Kitazawa, Yoshitsugu
Pubblicazione: (2026)

Estimation of random coefficients logit demand models with interactive fixed effects
di: Moon, Hyungsik Roger, et al.
Pubblicazione: (2026)

Specification testing with grouped fixed effects
di: Pigini, Claudia, et al.
Pubblicazione: (2023)

Identification and estimation of treatment effects in a linear factor model with fixed number of time periods
di: Fusejima, Koki, et al.
Pubblicazione: (2025)

Root-n-consistent Conditional ML estimation of dynamic panel logit models with fixed effects
di: Kruiniger, Hugo
Pubblicazione: (2021)

Axiomatic modeling of fixed proportion technologies
di: Zhou, Xun, et al.
Pubblicazione: (2024)

New possibilities in identification of binary choice models with fixed effects
di: Zhu, Yinchu
Pubblicazione: (2022)

Treatment-effect heterogeneity and interactive fixed effects: Can we control for too much?
di: Cardoso, Murilo, et al.
Pubblicazione: (2026)

Analysis of interactive fixed effects dynamic linear panel regression with measurement error
di: Lee, Nayoung, et al.
Pubblicazione: (2026)

Two-way fixed effects instrumental variable regressions in staggered DID-IV designs
di: Miyaji, Sho
Pubblicazione: (2024)

When can we get away with using the two-way fixed effects regression?
di: Lal, Apoorva
Pubblicazione: (2025)

The effects of data preprocessing on probability of default model fairness
di: Wu, Di
Pubblicazione: (2024)

Teacher bias or measurement error?
di: van Huizen, Thomas, et al.
Pubblicazione: (2024)

Efficiency of QMLE for dynamic panel data models with interactive effects
di: Bai, Jushan
Pubblicazione: (2023)

Trends and biases in the social cost of carbon
di: Tol, Richard S. J.
Pubblicazione: (2024)

A bias test for heteroscedastic linear least-squares regression
di: Blankmeyer, Eric
Pubblicazione: (2025)

Prediction intervals for economic fixed-event forecasts
di: Krüger, Fabian, et al.
Pubblicazione: (2022)

Bootstrap based asymptotic refinements for high-dimensional nonlinear models
di: Horowitz, Joel L., et al.
Pubblicazione: (2023)

Correcting sample selection bias with categorical outcomes
di: Boussim, Onil
Pubblicazione: (2025)

Can language models boost the power of randomized experiments without statistical bias?
di: Ruan, Xinrui, et al.
Pubblicazione: (2025)

Recovering latent linkage structures and spillover effects with structural breaks in panel data models
di: Okui, Ryo, et al.
Pubblicazione: (2025)

Efficient Bias Correction for Cross-section and Panel Data
di: Hahn, Jinyong, et al.
Pubblicazione: (2022)

Improving control over unobservables with network data
di: Starck, Vincent
Pubblicazione: (2025)

Estimating peer effects in noisy, low-rank networks via network smoothing
di: Hayes, Alex, et al.
Pubblicazione: (2026)

Estimating interaction effects with panel data
di: Muris, Chris, et al.
Pubblicazione: (2022)

Homophily in preferences or meetings? Identifying and estimating an iterative network formation model
di: Alvarez, Luis, et al.
Pubblicazione: (2022)

Bayesian modelling of VAR precision matrices using stochastic block networks
di: Huber, Florian, et al.
Pubblicazione: (2024)

Identifying treatment effects on categorical outcomes in IV models
di: Boussim, Onil
Pubblicazione: (2025)

On the falsification of instrumental variable models for heterogeneous treatment effects
di: Miranda, Ricardo E.
Pubblicazione: (2026)

Global identification of dynamic panel models with interactive effects
di: Bai, Jushan, et al.
Pubblicazione: (2025)

Bayesian inference for dynamic spatial quantile models with interactive effects
di: Ando, Tomohiro, et al.
Pubblicazione: (2025)

Tests of exogeneity in duration models with censored data
di: Crommen, Gilles, et al.
Pubblicazione: (2025)

Panel data models with randomly generated groups
di: Florens, Jean-Pierre, et al.
Pubblicazione: (2025)

A sequential test procedure for the choice of the number of regimes in multivariate nonlinear models
di: Bucci, Andrea
Pubblicazione: (2024)

Three's a crowd: Identification challenges in the triple difference model with spillover effects
di: De Nicolò, Silvia, et al.
Pubblicazione: (2026)