scholarly journals What Are The Monetary Effects Of Education In The Market For Major League Baseball Players?

Author(s):  
Alexandre Olbrecht ◽  
Steven Bloom

<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt;"><span style="font-size: 10pt;"><span style="font-family: Times New Roman;">In this article, we test the relationship between college attendance and earnings for Major League Baseball players. Using a cross-section of non-pitchers from the 2005 season, we find that schooling does not influence earnings. These results seemingly contradict the schooling-earnings theory and suggest that the market for baseball players may be purely talent-driven.</span></span></p>

1994 ◽  
Vol 2 (3) ◽  
pp. 221-232
Author(s):  
Ray Over

The relationship between age and the level of performance of major league baseball players was assessed through quasi-experimental designs. Whereas cross-sectional comparisons revealed no differences in batting and fielding statistics between younger and older players, longitudinal analysis showed significant decrements in batting performance as players aged from 30 to 35 years. A decline in performance with age was found even among elite players. Age decrements in achievement need to be studied not only in the context of molar measures such as batting statistics but also at a microanalytic level through reference to component skills. This paper outlines a methodology that can be used in assessing the nature and basis of age decrements in skilled athletic performance.


2021 ◽  
Vol 9 (7) ◽  
pp. 232596712110152
Author(s):  
Lucas G. Teske ◽  
Edward C. Beck ◽  
Garrett S. Bullock ◽  
Kristen F. Nicholson ◽  
Brian R. Waterman

Background: Although lower extremity biomechanics has been correlated with traditional metrics among baseball players, its association with advanced statistical metrics has not been evaluated. Purpose: To establish normative biomechanical parameters during the countermovement jump (CMJ) among Major League Baseball (MLB) players and evaluate the relationship between CMJ-developed algorithms and advanced statistical metrics. Study Design: Cohort study; Level of evidence, 3. Methods: MLB players in 2 professional organizations performed the CMJ at the beginning of each baseball season from 2013 to 2017. We collected ground-reaction force data including the eccentric rate of force development (“load”), concentric vertical force (“explode”), and concentric vertical impulse (“drive”) as well as the Sparta Score. The advanced statistical metrics from each baseball season (eg, fielding independent pitching [FIP], weighted stolen base runs [wSB], and weighted on-base average) were also gathered for the study participants. The minimal detectable change (MDC) was calculated for each CMJ variable to establish normative parameters. Pearson coefficient analysis and regression trees were used to evaluate associations between CMJ data and advanced statistical metrics for the players. Results: A total of 151 pitchers and 138 batters were included in the final analysis. The MDC for “load,” “explode,” “drive,” and the Sparta Score was 10.3, 8.1, 8.7, and 4.6, respectively, and all demonstrated good reliability (intraclass correlation coefficient > 0.75). There was a weak but statistically significant correlation between the Sparta Score and wSB ( r = 0.23; P = .007); however, there were no significant correlations with any other advanced metrics. Regression trees demonstrated superior FIP with higher Sparta Scores in older pitchers compared with younger pitchers. Conclusion: There was a positive but weak correlation between the Sparta Score and base-stealing performance among professional baseball players. Additionally, older pitchers with a higher Sparta Score had statistically superior FIP compared with younger pitchers with a similar Sparta Score after adjusting for age.


2020 ◽  
Vol 2 (1) ◽  
pp. e17-e28
Author(s):  
Karla Kubitz ◽  
Claire-Marie Roberts ◽  
Melissa Hunfalvay ◽  
Nicholas Murray

PurposeSensorimotor variables have been shown to predict performance in professional baseball players. However, cardinal gaze speed in baseball players has received only limited attention. This study tested the hypothesis that the cardinal gaze speed in Major League Baseball (MLB) players would be faster than in amateur prospects and non-athletes. MethodSeventeen MLB athletes, 160 amateur prospects, and 128 non-athletes were tested using an eye-tracking test (i.e., the RightEye CGP test) designed to measure cardinal gaze speed. ResultsMLB players had significantly faster cardinal gaze speed than either amateur prospects or non-athletes. Moreover, there were significant differences in cardinal gaze speed across different directions. ConclusionsThis was the first study to examine the speed of gaze in the cardinal positions in an athletic context. The results highlight the significant difference in cardinal gaze speed between MLB players, amateur prospects, and non-athletes.


2010 ◽  
Vol 3 (3) ◽  
pp. 72-82 ◽  
Author(s):  
Paul G. Schempp ◽  
Bryan A. McCullick ◽  
Matthew A. Grant ◽  
Cornell Foo ◽  
Kelly Wieser

The purpose of this study was to analyze the relationship between coaches’ professional playing experience and their professional coaching success. The sample (n = 134) included coaches who had the equivalent of three full seasons of head coaching experience in either Major League Baseball (MLB) (n = 46), the National Basketball Association (NBA) (n = 38) or the National Football League (NFL) (n = 50) as determined by the total number of games coached between the years 1997-2007. ANOVAs revealed no significant differences between coaches with more or less professional playing experience and professional coaching success as determined by professional winning percentage. Further, no significant relationship was found between professional playing experience and professional coaching success in MLB (r = -0.16), NBA (r = -0.05) or NFL (r = 0.00). It was concluded that professional playing experience was not a predictor of professional level coaching success. These findings support the notion that sources of knowledge other than playing experience may be necessary and useful in developing coaching expertise.


2018 ◽  
Vol 20 (3) ◽  
pp. 371-398
Author(s):  
Michael William Gmeiner

This article analyzes to what extent baseball players adjust mixed strategies depending on the history by which the batting count is realized, then tests if these adjustments are aligned with best-response play. Two situations are examined: (1) pitches preceded by a borderline ball or strike at which the batter did not swing and (2) batters taking a strike as opposed to swinging and missing. Adjustments in batter and pitcher strategy on the following pitch are identified as statistically significant, however, of small magnitude. Analysis considers the effects of these adjustments on the expected runs scored during the plate appearance.


1951 ◽  
Vol 3 (1) ◽  
pp. 5-10 ◽  
Author(s):  
Harvey C. Lehman ◽  
Frederic E. Webb

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