Imagen de Portada

Inference on Partially Identified Parameters with Separable Nuisance Parameters: a Two-Stage Method

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Tian, Xunkang
Formato:	Preprint
Publicado:	2025
Materias:	Econometrics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Robust Inference when Nuisance Parameters may be Partially Identified with Applications to Synthetic Controls
por: Fry, Joseph
Publicado: (2025)

Treatment Effects of Multi-Valued Treatments in Hyper-Rectangle Model
por: Tian, Xunkang
Publicado: (2025)

Using Aggregate Relational Data to Infer Social Networks
por: Tian, Xunkang
Publicado: (2025)

Unified Inference on Moment Restrictions with Nuisance Parameters
por: Li, Xingyu, et al.
Publicado: (2022)

Testing Inequalities Linear in Nuisance Parameters
por: Cox, Gregory Fletcher, et al.
Publicado: (2025)

Debiased Machine Learning when Nuisance Parameters Appear in Indicator Functions
por: Park, Gyungbae
Publicado: (2024)

A Simple and Adaptive Confidence Interval when Nuisance Parameters Satisfy an Inequality
por: Cox, Gregory Fletcher
Publicado: (2024)

Confidence Intervals for Projections of Partially Identified Parameters
por: Kaido, Hiroaki, et al.
Publicado: (2016)

Inference for Interval-Identified Parameters Selected from an Estimated Set
por: Han, Sukjin, et al.
Publicado: (2024)

Inference for Two-Stage Extremum Estimators
por: Houndetoungan, Aristide, et al.
Publicado: (2024)

On the Nuisance of Control Variables in Regression Analysis
por: Hünermund, Paul, et al.
Publicado: (2020)

Testing Sign Congruence Between Two Parameters
por: Miller, Douglas L., et al.
Publicado: (2024)

Inference in a Stationary/Nonstationary Autoregressive Time-Varying-Parameter Model
por: Andrews, Donald W. K., et al.
Publicado: (2024)

Partial Identification of Individual-Level Parameters Using Aggregate Data in a Nonparametric Model
por: Moon, Sarah
Publicado: (2024)

Partially Identified Rankings from Pairwise Interactions
por: Crippa, Federico, et al.
Publicado: (2024)

True and Pseudo-True Parameters
por: Andrews, Isaiah, et al.
Publicado: (2026)

Standard Errors for Calibrated Parameters
por: Cocci, Matthew D., et al.
Publicado: (2021)

Sharp and Robust Estimation of Partially Identified Discrete Response Models
por: Khan, Shakeeb, et al.
Publicado: (2023)

Partially Identified Heterogeneous Treatment Effect with Selection: An Application to Gender Gaps
por: Sun, Xiaolin, et al.
Publicado: (2024)

Parameters on the boundary in predictive regression
por: Cavaliere, Giuseppe, et al.
Publicado: (2024)

Algorithms for Inference in SVARs Identified with Sign and Zero Restrictions
por: Read, Matthew
Publicado: (2021)

Optimal Decision Rules when Payoffs are Partially Identified
por: Christensen, Timothy, et al.
Publicado: (2022)

Theory coherent shrinkage of Time-Varying Parameters in VARs
por: Renzetti, Andrea
Publicado: (2023)

Revisiting the Identification of the Conduct Parameter in Homogeneous Goods Markets
por: Matsumura, Yuri, et al.
Publicado: (2024)

Assessing Inference Methods
por: Ferman, Bruno
Publicado: (2019)

An Axiomatic Approach to Comparing Sensitivity Parameters
por: Diegert, Paul, et al.
Publicado: (2025)

Inference in Tightly Identified and Large-Scale Sign-Restricted SVARs
por: Lanne, Markku, et al.
Publicado: (2026)

PLRD: Partially Linear Regression Discontinuity Inference
por: Ghosh, Aditya, et al.
Publicado: (2025)

Variable Selection in High Dimensional Linear Regressions with Parameter Instability
por: Chudik, Alexander, et al.
Publicado: (2023)

Deep Learning for the Estimation of Heterogeneous Parameters in Discrete Choice Models
por: Hetzenecker, Stephan, et al.
Publicado: (2024)

Testing Identifying Assumptions in Parametric Separable Models: A Conditional Moment Inequality Approach
por: Goff, Leonard, et al.
Publicado: (2024)

Automatic Debiased Machine Learning of Structural Parameters with General Conditional Moments
por: Argañaraz, Facundo
Publicado: (2025)

Debiased Machine Learning of Aggregated Intersection Bounds and Other Causal Parameters
por: Semenova, Vira
Publicado: (2023)

Econometric Inference with Machine-Learned Proxies: Partial Identification via Data Combination
por: Li, Lixiong
Publicado: (2026)

The Identification Power of Combining Experimental and Observational Data for Distributional Treatment Effect Parameters
por: Sakaguchi, Shosei
Publicado: (2025)

Partial Identification of Mean Achievement in ILSA Studies with Multi-Stage Stratified Sample Design and Student Non-Participation
por: Cortes, Diego, et al.
Publicado: (2025)

Tuning Parameter-Free Nonparametric Density Estimation from Tabulated Summary Data
por: Lee, Ji Hyung, et al.
Publicado: (2022)

A Neyman-Orthogonalization Approach to the Incidental Parameter Problem
por: Bonhomme, Stéphane, et al.
Publicado: (2024)

Identification, Estimation, and Inference in Two-Sided Interaction Models
por: Crippa, Federico
Publicado: (2025)

Inference on Linear Regressions with Two-Way Unobserved Heterogeneity
por: Freeman, Hugo, et al.
Publicado: (2026)