A Structural Econometric Approach to Analyzing the Impact of Teacher Pension Reform
Bibliographic Data
| ID | 9734751 |
|---|---|
| Authors | Wei Kong (0000-0002-6554-4338, Shanghai University of International Business and Economics, Shanghai), Shawn Ni (University of Missouri-Columbia, Columbia, MO, corresponding author) |
| Year | 2023 |
| Volume | 52 |
| Issue | 2 |
| Pages | 63-70 |
| Publication date | 2023-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational Researcher (JOURNAL) |
| Journal identifiers | ISSN: 0013-189X • E-ISSN: 1935-102X |
| Publisher | American Educational Research Association (AERA) (PUBLISHER) |
| DOI | 10.3102/0013189x221080913 |
| OpenAlex | W3133667674 |
| Language | EN |
| Citations received | 2 |
| References cited | 22 |
The growing fiscal cost of K–12 teacher pension plans and pension-induced labor market distortions have led to calls for teacher pension reforms. Dynamic structural econometric models are a useful way to analyze the fiscal and staffing consequences of current and alternative retirement plans. This article lays out the benefits of the structural econometric modeling approach for analyzing changes to teacher pension plans and estimates such a model for Missouri public school teachers. The results are then used to simulate effects of a pension reform on teacher retirement and employer pension costs
Actuarial science · Econometric analysis · Econometric model · Econometrics · Economics · Labour economics · Macroeconomics · Pension · Staffing · Finance · Financial Literacy, Pension, Retirement Analysis · Gender, Labor, and Family Dynamics · School Choice and Performance
Teacher-Student Matching and the Assessment of Teacher Effectiveness
Pensions, the Option Value of Work, and Retirement
Assessing the Effects of School Resources on Student Performance
Measuring the Impacts of Teachers II
Teacher credentials and student achievement
Benefit or Burden? On the Intergenerational Inequity of Teacher Pension Plans
The Use of Structural Models in Econometrics
| Citations per year | 0.67 |
|---|---|
| Citation span | 2023 - 2023 (1) |
| Highly cited | No |