Private school vouchers and student achievement: A fixed effects quantile regression evaluation

2008 ◽  
Vol 15 (4) ◽  
pp. 575-590 ◽  
Author(s):  
Carlos Lamarche
2021 ◽  
Vol 29 ◽  
pp. 97
Author(s):  
Yusuf Canbolat

Despite a vast literature on school vouchers, less is known about their long-term competitive effects on public schools. The current paper examines the competitive effect of the Indiana Choice Scholarship Program, the largest single voucher program in the US, on math and ELA proficiency rates in public schools in the last eight years. Exploiting school vouchers' market share as the primary measure of competition, I use two-way fixed effects regression and event study framework to examine the competitive effect. Results indicate that, although competition has a positive effect in the earlier years, it is detrimental in the long term, suggesting that the program created a “voucher shock” that led to an improvement in the short term. However, in the long term, the proficiency rates in public schools that faced higher competition fell and never increased again. The trend of voucher recipients who have prior public-school attendance revealed that the worsening proficiency rates in the public schools that face higher competition were driven by the departure of relatively high achieving students, suggesting that school vouchers inspire sorting. The results are robust to alternative specifications that use the variation in the interaction between the market share of vouchers and geospatial measures of private school density. 


2019 ◽  
Vol 7 (2) ◽  
pp. 24
Author(s):  
Aju J. Fenn ◽  
Lucas Gerdes ◽  
Samuel Rothstein

Using data from 2005 to 2016, this paper examines if players in the National Hockey League (NHL) are being paid a positive differential for their services due to the competition from the Kontinental Hockey League (KHL) and the Swedish Hockey League (SHL). In order to control for performance, we use two different large datasets, (N = 4046) and (N = 1717). In keeping with the existing literature, we use lagged performance statistics and dummy variables to control for the type of NHL contract. The first dataset contains lagged career performance statistics, while the performance statistics are based on the statistics generated during the years under the player’s previous contract. Fixed effects least squares (FELS) and quantile regression results suggest that player production statistics, contract status, and country of origin are significant determinants of NHL player salaries.


1997 ◽  
Vol 5 (3) ◽  
pp. 245-263 ◽  
Author(s):  
Peter Rangazas

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