Assessing treatment effects
Session Number: Quant3
Track: Quantitative Methods: Theory and Design
Session Type: TIG Multipaper
Session Chair: Guili Zhang [Professor and Department Chair - East Carolina University]
Presenter 1: SILEYMANE BA
Presenter 2: Amy Ritualo [Supervisory Policy Analyst - U.S. Citizenship and Immigration Services]
Presentation 2 Additional Author: Okyun Kwon [Social Science Research Analyst - USCIS]
Time: Nov 09, 2017 (10:30 AM - 11:15 AM)
Room: Marriott Balcony A
Abstract 1 Title: Bounding treatment effect and interactions: A spatial econometrics approach applied to the French “Zones Urbaines Sensibles” program
Presentation Abstract 1: In this paper we extend the nonparametric bounds analysis of Manski (1989, 1990) by considering the interaction effects. We use the spatial autoregressive model (SAR) to take into account the links between individuals. Our empirical study focuses on the effect of the ZUS program on the employment rate in Paris Area (France). First, the results show that we cannot conclude about the treatment effect in the worst case. Second, when we make weaker assumption to tight the bounds, the results show that the estimated bounds are more informative. The effect of the ZUS policy is positive in the reduction of the unemployment rate. Finally, taking into account the interaction improves the tightness of the width of the bounds.
Abstract 2 Title: Using Propensity Score Matching to Measure the Effects of Citizenship Preparation Services on Naturalization Outcomes
Presentation Abstract 2: Since 2009, U.S. Citizenship and Immigration Services (USCIS) has provided grants to organizations to promote immigrant civic integration and prepare lawful permanent residents (LPR) for citizenship. Citizenship preparation services include citizenship instruction and naturalization application services. Citizenship instruction helps LPRs prepare for the civics and English proficiency tests. Naturalization application services include legal support in the naturalization process which involves assistance with naturalization applications and the interview process. We use propensity score matching (PSM), program participant data from grantee organizations, and USCIS administrative data to assess the impact of citizenship preparation services on naturalization outcomes. Data on program participants were linked to USCIS administrative data via a common identifier. We will discuss the use of PSM with USCIS administrative data to identify a comparison group among the eligible to naturalize population and the observed impacts of citizenship preparation on naturalization application, naturalization test results, and naturalization status.
Theme: Select one
Audience Level: None
Session Abstract (150 words): Assessing treatment effects
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