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From Incentive to Impact: The Texas Teacher Incentive Allotment's Path to Improved Retention and Achievement. Working Paper No. 02-001

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Bibliographic Details
Title: From Incentive to Impact: The Texas Teacher Incentive Allotment's Path to Improved Retention and Achievement. Working Paper No. 02-001
Language: English
Authors: J. Jacob Kirksey, Teresa Lansford, Angela Crevar, Kristin Mansell, Texas Tech University (TTU), Center for Innovative Research in Change, Leadership, and Education (CIRCLE)
Source: Center for Innovative Research in Change, Leadership, and Education. 2024.
Availability: Center for Innovative Research in Change, Leadership, and Education. Texas Tech University, College of Education, 3002 18th Street, Room 168, Lubbock, TX 79409. Tel: 806-834-2923; e-mail: circle.educ@ttu.edu; Web site: https://hdl.handle.net/2346/88837
Peer Reviewed: N
Page Count: 32
Publication Date: 2024
Document Type: Reports - Research
Descriptors: Incentives, Academic Achievement, Program Effectiveness, Teacher Salaries, Merit Pay, Teacher Persistence, Faculty Mobility, Standardized Tests, Scores, Compensation (Remuneration), Teacher Shortage
Geographic Terms: Texas
Abstract: This study is the first statewide analysis of the effectiveness of the Texas Teacher Incentive Allotment (TIA) program. Introduced in 2019, TIA is the most significant and unprecedented teacher merit-pay system in the U.S. Leveraging the Synthetic Control Method (SCM), we construct a counterfactual scenario to assess the causal impact of TIA on the initial 26 participating districts, focusing on teacher turnover rates and standardized assessment scores in math and reading. Using statewide data from 2014-15 to the 2022-23 school years, we show TIA had a large, positive impact on teacher retention and student achievement. Our findings contribute insights into the debate on merit-based compensation and underscore how large-scale teacher compensation strategies may combat long-standing shortages and improve student outcomes.
Abstractor: As Provided
Entry Date: 2025
Accession Number: ED671362
Database: ERIC
Description
Abstract:This study is the first statewide analysis of the effectiveness of the Texas Teacher Incentive Allotment (TIA) program. Introduced in 2019, TIA is the most significant and unprecedented teacher merit-pay system in the U.S. Leveraging the Synthetic Control Method (SCM), we construct a counterfactual scenario to assess the causal impact of TIA on the initial 26 participating districts, focusing on teacher turnover rates and standardized assessment scores in math and reading. Using statewide data from 2014-15 to the 2022-23 school years, we show TIA had a large, positive impact on teacher retention and student achievement. Our findings contribute insights into the debate on merit-based compensation and underscore how large-scale teacher compensation strategies may combat long-standing shortages and improve student outcomes.