Teacher bias or measurement error?
Fuente:
arXiv
Guardado en:
| Autores principales: | van Huizen, Thomas, Jacobs, Madelon, Oosterveen, Matthijs |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Policy-relevant causal effect estimation using instrumental variables with interference
por: Nibbering, Didier, et al.
Publicado: (2025)
por: Nibbering, Didier, et al.
Publicado: (2025)
Specification tests for regression models with measurement errors
por: Song, Xiaojun, et al.
Publicado: (2025)
por: Song, Xiaojun, et al.
Publicado: (2025)
Trends and biases in the social cost of carbon
por: Tol, Richard S. J.
Publicado: (2024)
por: Tol, Richard S. J.
Publicado: (2024)
Using spatial modeling to address covariate measurement error
por: Schennach, Susanne M., et al.
Publicado: (2025)
por: Schennach, Susanne M., et al.
Publicado: (2025)
Correcting sample selection bias with categorical outcomes
por: Boussim, Onil
Publicado: (2025)
por: Boussim, Onil
Publicado: (2025)
Analysis of interactive fixed effects dynamic linear panel regression with measurement error
por: Lee, Nayoung, et al.
Publicado: (2026)
por: Lee, Nayoung, et al.
Publicado: (2026)
A bias test for heteroscedastic linear least-squares regression
por: Blankmeyer, Eric
Publicado: (2025)
por: Blankmeyer, Eric
Publicado: (2025)
A jackknife bias correction for nonlinear network data models with fixed effects
por: Hughes, David W.
Publicado: (2022)
por: Hughes, David W.
Publicado: (2022)
Empirical Bayes shrinkage (mostly) does not correct the measurement error in regression
por: Chen, Jiafeng, et al.
Publicado: (2025)
por: Chen, Jiafeng, et al.
Publicado: (2025)
Interpretational errors with instrumental variables
por: Locher, Luca, et al.
Publicado: (2025)
por: Locher, Luca, et al.
Publicado: (2025)
Can language models boost the power of randomized experiments without statistical bias?
por: Ruan, Xinrui, et al.
Publicado: (2025)
por: Ruan, Xinrui, et al.
Publicado: (2025)
Addressing sample selection bias for machine learning methods
por: Dylan Brewer, et al.
Publicado: (2024)
por: Dylan Brewer, et al.
Publicado: (2024)
Moderating the Mediation Bootstrap for Causal Inference
por: van Garderen, Kees Jan, et al.
Publicado: (2024)
por: van Garderen, Kees Jan, et al.
Publicado: (2024)
Identifying Causal Effects of Discrete, Ordered and ContinuousTreatments using Multiple Instrumental Variables
por: Hoff, Nadja van 't
Publicado: (2023)
por: Hoff, Nadja van 't
Publicado: (2023)
Improved Tests for Mediation
por: Hillier, Grant, et al.
Publicado: (2024)
por: Hillier, Grant, et al.
Publicado: (2024)
Flexibility without foresight: the predictive limitations of mixture models
por: Hess, Stephane, et al.
Publicado: (2025)
por: Hess, Stephane, et al.
Publicado: (2025)
Combine and conquer: model averaging for out-of-distribution forecasting
por: Hess, Stephane, et al.
Publicado: (2025)
por: Hess, Stephane, et al.
Publicado: (2025)
Cautions on Tail Index Regressions and a Comparative Study with Extremal Quantile Regression
por: Yang, Thomas T.
Publicado: (2025)
por: Yang, Thomas T.
Publicado: (2025)
Statistically identified structural VAR model with potentially skewed and fat‐tailed errors
por: Jetro Anttonen, et al.
Publicado: (2024)
por: Jetro Anttonen, et al.
Publicado: (2024)
Do Test Scores Help Teachers Give Better Track Advice to Students? A Principal Stratification Analysis
por: Ichino, Andrea, et al.
Publicado: (2025)
por: Ichino, Andrea, et al.
Publicado: (2025)
Semiparametric Discrete Choice Models for Bundles
por: Ouyang, Fu, et al.
Publicado: (2023)
por: Ouyang, Fu, et al.
Publicado: (2023)
Valid Post-Contextual Bandit Inference
por: Akker, Ramon van den, et al.
Publicado: (2025)
por: Akker, Ramon van den, et al.
Publicado: (2025)
High Dimensional Binary Choice Model with Unknown Heteroskedasticity or Instrumental Variables
por: Ouyang, Fu, et al.
Publicado: (2023)
por: Ouyang, Fu, et al.
Publicado: (2023)
Semiparametric Discrete Choice Models for Bundles
por: Ouyang, Fu, et al.
Publicado: (2023)
por: Ouyang, Fu, et al.
Publicado: (2023)
Semiparametric Estimation of Dynamic Binary Choice Panel Data Models
por: Ouyang, Fu, et al.
Publicado: (2022)
por: Ouyang, Fu, et al.
Publicado: (2022)
Machine learning the first stage in 2SLS: Practical guidance from bias decomposition and simulation
por: Lennon, Connor, et al.
Publicado: (2025)
por: Lennon, Connor, et al.
Publicado: (2025)
Non-robustness of diffusion estimates on networks with measurement error
por: Chandrasekhar, Arun G., et al.
Publicado: (2024)
por: Chandrasekhar, Arun G., et al.
Publicado: (2024)
Panel Stochastic Frontier Models with Latent Group Structures
por: Tomioka, Kazuki, et al.
Publicado: (2024)
por: Tomioka, Kazuki, et al.
Publicado: (2024)
A Markowitz Approach to Managing a Dynamic Basket of Moving-Band Statistical Arbitrages
por: Johansson, Kasper, et al.
Publicado: (2024)
por: Johansson, Kasper, et al.
Publicado: (2024)
Automated Demand Forecasting in small to medium-sized enterprises
por: Gaertner, Thomas, et al.
Publicado: (2024)
por: Gaertner, Thomas, et al.
Publicado: (2024)
Dimension Reduction for Conditional Density Estimation with Applications to High-Dimensional Causal Inference
por: Mei, Jianhua, et al.
Publicado: (2025)
por: Mei, Jianhua, et al.
Publicado: (2025)
Uncovering Sparse Financial Networks with Information Criteria
por: Ouyang, Fu, et al.
Publicado: (2026)
por: Ouyang, Fu, et al.
Publicado: (2026)
Comment on Scientific production in the era of large language models
por: Renault, Thomas, et al.
Publicado: (2026)
por: Renault, Thomas, et al.
Publicado: (2026)
Verifying the existence of maximum likelihood estimates for generalized linear models
por: Correia, Sergio, et al.
Publicado: (2019)
por: Correia, Sergio, et al.
Publicado: (2019)
A Partial Identification Approach to Identifying the Determinants of Human Capital Accumulation: An Application to Teachers
por: Nirav Mehta
Publicado: (2025)
por: Nirav Mehta
Publicado: (2025)
Partitioned Wild Bootstrap for Panel Data Quantile Regression
por: Galvao, Antonio F., et al.
Publicado: (2025)
por: Galvao, Antonio F., et al.
Publicado: (2025)
Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data
por: Ballarin, Giovanni, et al.
Publicado: (2022)
por: Ballarin, Giovanni, et al.
Publicado: (2022)
Revisiting Panel Data Discrete Choice Models with Lagged Dependent Variables
por: Dobronyi, Christopher R., et al.
Publicado: (2023)
por: Dobronyi, Christopher R., et al.
Publicado: (2023)
Beyond utility: incorporating eye-tracking, skin conductance and heart rate data into cognitive and econometric travel behaviour models
por: Hancock, Thomas O., et al.
Publicado: (2025)
por: Hancock, Thomas O., et al.
Publicado: (2025)
A One-Covariate-at-a-Time Method for Nonparametric Additive Models
por: Su, Liangjun, et al.
Publicado: (2022)
por: Su, Liangjun, et al.
Publicado: (2022)
Ejemplares similares
-
Policy-relevant causal effect estimation using instrumental variables with interference
por: Nibbering, Didier, et al.
Publicado: (2025) -
Specification tests for regression models with measurement errors
por: Song, Xiaojun, et al.
Publicado: (2025) -
Trends and biases in the social cost of carbon
por: Tol, Richard S. J.
Publicado: (2024) -
Using spatial modeling to address covariate measurement error
por: Schennach, Susanne M., et al.
Publicado: (2025) -
Correcting sample selection bias with categorical outcomes
por: Boussim, Onil
Publicado: (2025)