Skip to main navigation
Skip to search
Skip to main content
FacultyUP — Universidad del Pacífico Home
Login
Link opens in a new tab
Español
English
Search content at FacultyUP — Universidad del Pacífico
Home
Researchers
Publications
Teaching
Projects
Prizes
Activities
Press/Media
Centers / Units / Programs
Identifying treatment effects and counterfactual distributions using data combination with unobserved heterogeneity
Pablo Augusto Lavado Padilla
, Gonzalo Rivera
Universidad del Pacífico Research Center
Universidad del Pacífico
Department of Economics
Cátedra de Migraciones de la Universidad del Pacífico
Research output
:
Working paper
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Identifying treatment effects and counterfactual distributions using data combination with unobserved heterogeneity'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Unobserved Heterogeneity
100%
Data Combination
100%
Treatment Effect
100%
Counterfactual Distribution
100%
Causal Effect
33%
Demographic Information
33%
Panel Data Model
33%
Simulation Exercise
33%
Outcome Information
33%
Selection on Unobservables
33%
Treatment Assignment
33%
Unobserved Components
33%
Inference Model
33%
Ecological Inference
33%
Mathematics
Treatment Effect
100%
Treatment Assignment
33%
Linear Models
33%
Demographic Information
33%
Fixed Time
33%
Outcome Variable
33%
Causal Effect
33%
Economics, Econometrics and Finance
Causality Analysis
100%
Panel Data Model
33%