Cover Image

Teacher bias or measurement error?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	van Huizen, Thomas, Jacobs, Madelon, Oosterveen, Matthijs
Format:	Preprint
Published:	2024
Subjects:	Econometrics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Policy-relevant causal effect estimation using instrumental variables with interference
by: Nibbering, Didier, et al.
Published: (2025)

Specification tests for regression models with measurement errors
by: Song, Xiaojun, et al.
Published: (2025)

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

Using spatial modeling to address covariate measurement error
by: Schennach, Susanne M., et al.
Published: (2025)

Correcting sample selection bias with categorical outcomes
by: Boussim, Onil
Published: (2025)

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

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

A jackknife bias correction for nonlinear network data models with fixed effects
by: Hughes, David W.
Published: (2022)

Empirical Bayes shrinkage (mostly) does not correct the measurement error in regression
by: Chen, Jiafeng, et al.
Published: (2025)

Interpretational errors with instrumental variables
by: Locher, Luca, et al.
Published: (2025)

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

Addressing sample selection bias for machine learning methods
by: Dylan Brewer, et al.
Published: (2024)

Moderating the Mediation Bootstrap for Causal Inference
by: van Garderen, Kees Jan, et al.
Published: (2024)

Identifying Causal Effects of Discrete, Ordered and ContinuousTreatments using Multiple Instrumental Variables
by: Hoff, Nadja van 't
Published: (2023)

Improved Tests for Mediation
by: Hillier, Grant, et al.
Published: (2024)

Flexibility without foresight: the predictive limitations of mixture models
by: Hess, Stephane, et al.
Published: (2025)

Combine and conquer: model averaging for out-of-distribution forecasting
by: Hess, Stephane, et al.
Published: (2025)

Cautions on Tail Index Regressions and a Comparative Study with Extremal Quantile Regression
by: Yang, Thomas T.
Published: (2025)

Statistically identified structural VAR model with potentially skewed and fat‐tailed errors
by: Jetro Anttonen, et al.
Published: (2024)

Do Test Scores Help Teachers Give Better Track Advice to Students? A Principal Stratification Analysis
by: Ichino, Andrea, et al.
Published: (2025)

Semiparametric Discrete Choice Models for Bundles
by: Ouyang, Fu, et al.
Published: (2023)

Valid Post-Contextual Bandit Inference
by: Akker, Ramon van den, et al.
Published: (2025)

High Dimensional Binary Choice Model with Unknown Heteroskedasticity or Instrumental Variables
by: Ouyang, Fu, et al.
Published: (2023)

Semiparametric Discrete Choice Models for Bundles
by: Ouyang, Fu, et al.
Published: (2023)

Semiparametric Estimation of Dynamic Binary Choice Panel Data Models
by: Ouyang, Fu, et al.
Published: (2022)

Machine learning the first stage in 2SLS: Practical guidance from bias decomposition and simulation
by: Lennon, Connor, et al.
Published: (2025)

Non-robustness of diffusion estimates on networks with measurement error
by: Chandrasekhar, Arun G., et al.
Published: (2024)

Panel Stochastic Frontier Models with Latent Group Structures
by: Tomioka, Kazuki, et al.
Published: (2024)

A Markowitz Approach to Managing a Dynamic Basket of Moving-Band Statistical Arbitrages
by: Johansson, Kasper, et al.
Published: (2024)

Automated Demand Forecasting in small to medium-sized enterprises
by: Gaertner, Thomas, et al.
Published: (2024)

Dimension Reduction for Conditional Density Estimation with Applications to High-Dimensional Causal Inference
by: Mei, Jianhua, et al.
Published: (2025)

Uncovering Sparse Financial Networks with Information Criteria
by: Ouyang, Fu, et al.
Published: (2026)

Comment on Scientific production in the era of large language models
by: Renault, Thomas, et al.
Published: (2026)

Verifying the existence of maximum likelihood estimates for generalized linear models
by: Correia, Sergio, et al.
Published: (2019)

A Partial Identification Approach to Identifying the Determinants of Human Capital Accumulation: An Application to Teachers
by: Nirav Mehta
Published: (2025)

Partitioned Wild Bootstrap for Panel Data Quantile Regression
by: Galvao, Antonio F., et al.
Published: (2025)

Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data
by: Ballarin, Giovanni, et al.
Published: (2022)

Revisiting Panel Data Discrete Choice Models with Lagged Dependent Variables
by: Dobronyi, Christopher R., et al.
Published: (2023)

Beyond utility: incorporating eye-tracking, skin conductance and heart rate data into cognitive and econometric travel behaviour models
by: Hancock, Thomas O., et al.
Published: (2025)

A One-Covariate-at-a-Time Method for Nonparametric Additive Models
by: Su, Liangjun, et al.
Published: (2022)