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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99286
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor楊睿中zh_TW
dc.contributor.advisorJui-Chung Yangen
dc.contributor.author張偉翔zh_TW
dc.contributor.authorWei-Hsiang Changen
dc.date.accessioned2025-08-21T17:07:53Z-
dc.date.available2025-08-22-
dc.date.copyright2025-08-21-
dc.date.issued2025-
dc.date.submitted2025-08-04-
dc.identifier.citationAbadie, Alberto (2003) “Semiparametric Instrumental Variable Estimation of Treatment Response Models,” Journal of Econometrics, 113 (2), 231–263, 10.1016/ S0304-4076(02)00201-4.
Albert, Jim and Jay Bennett (2001) Curve Ball: Baseball, Statistics, and the Role of Chance in the Game, New York: Springer.
Angrist, Joshua D. and Guido W. Imbens (1995) “Two-Stage Least Squares Estimation of Average Causal Effects in Models with Variable Treatment Intensity,” Journal of the American Statistical Association, 90 (430), 431–442.
Athey, Susan and Guido Imbens (2016) “Recursive Partitioning for Heterogeneous Causal Effects,” Proceedings of the National Academy of Sciences, 113 (27), 7353–7360, 10. 1073/pnas.1510489113.
Athey, Susan, Julie Tibshirani, and Stefan Wager (2019) “Generalized random forests.”
Athey, Susan and Stefan Wager (2019) “Estimating treatment effects with causal forests: An application,” Observational studies, 5 (2), 37–51.
Bailey, Mark (2023) “What Is a Clutch Hitter in Baseball? Unlocking the Secrets of Clutch Hitting: How Some Baseball Players Thrive Under Pressure,” https:// www.baseballbible.net/what-is-a-clutch-hitter/, Last updated November 7, 2023. Accessed July 1, 2025.
Baumeister, R. F. (1984) “Choking under Pressure: Self-Consciousness and Paradoxical Effects of Incentives on Skillful Performance,” Journal of Personality and Social Psy chology, 46 (3), 610–620, 10.1037/0022-3514.46.3.610.
Beilock, S. L. and T. H. Carr (2001) “On the Fragility of Skilled Performance: What Governs Choking under Pressure?” Journal of Experimental Psychology: General, 130 (4), 701–725, 10.1037/0096-3445.130.4.701.
Beilock, Sian L., Thomas H. Carr, Clare MacMahon, and Janet L. Starkes (2002) “When Paying Attention Becomes Counterproductive: ImpactofDividedVersusSkill-Focused Attention on Novice and Experienced Performance of Sensorimotor Skills,” Journal of Experimental Psychology: Applied, 8 (1), 6–16, 10.1037/1076-898X.8.1.6.
Beilock, Sian L. and Rob Gray (2007) “Why do athletes choke under pressure?” Current Directions in Psychological Science, 16 (6), 381–385.
Birnbaum, Phil (2011) “Do Clutch Hitters Exist?” By The Numbers, 21 (3), 1–5.
Blundell, Richard and James L Powell (2003) “Endogeneity in nonparametric and semi parametric regression models,” Econometric society monographs, 36, 312–357.
Bradbury, J. C. (2009) “Peak Athletic Performance and Ageing: Evidence from Baseball,” Journal of Sports Sciences, 27 (6), 599–610, 10.1080/02640410802691348.
Breiman, L, JH Friedman, R Olshen, and CJ Stone (1984) “Classification and Regression Trees.”
Breiman, Leo (2001) “Random Forests,” Machine Learning, 45 (1), 5–32, 10.1023/A: 1010933404324.
Breiman, Leo, Jerome Friedman, Richard A Olshen, and Charles J Stone (2017) Classifi cation and regression trees, Routledge.
Chernozhukov, Victor, Denis Chetverikov, Mert Demirer, Esther Duflo, Christian Hansen, Whitney Newey, and James Robins (2018a) “Double/debiased machine learning for treatment and structural parameters,” The Econometrics Journal, 21 (1), C1–C68, 10. 1111/ectj.12097.
Chernozhukov, Victor, Mert Demirer, Esther Duflo, and Ivan Fernandez-Val (2018b) “Generic machine learning inference on heterogeneous treatment effects in randomized experiments, with an application to immunization in India,” technical report, National Bureau of Economic Research.
Cramer, Richard D. (1977) “Do Clutch Hitters Exist?” Baseball Research Journal, 8 (1), 15–17.
Cui, Yifan, Michael R. Kosorok, Erik Sverdrup, Stefan Wager, and Ruoqing Zhu (2023) “Estimating heterogeneous treatment effects with right-censored data via causal survival forests,” Journal of the Royal Statistical Society: Series B (Statistical Methodology), 85 (2), 179–211, 10.1093/jrsssb/qkad003.
Cummiskey, Kevin, Lucas Villanti, and Ira Crofford(2024)“Bunting and the ghost runner: a causal inference approach,” arXiv preprint arXiv:2404.06587.
Das, Mitali, Whitney K Newey, and Francis Vella (2003) “Nonparametric estimation of sample selection models,” The Review of Economic Studies, 70 (1), 33–58.
DeCaro, M. S., R. D. Thomas, N. B. Albert, and S. L. Beilock (2011) “Choking under Pressure: Multiple Routes to Skill Failure,” Journal of Experimental Psychology: General, 140 (3), 390–406, 10.1037/a0023466.
Efron, Bradley (2007) “Size, Power and False Discovery Rates,” Annals of Statistics, 35 (4), 1351–1377, 10.1214/009053606000001460.
Efron, Bradley and Trevor Hastie (2016) Computer Age Statistical Inference, Cambridge University Press, https://www.cambridge.org/9781107149892, Corrected February 24, 2017. See especially pp. 282–286.
Evans, Brian and Michael J. Lopez (2019) “The Effect of Sacrifice Bunts on Expected Runs in Major League Baseball,” Journal of Quantitative Analysis in Sports, 15 (2), 87–101, 10.1515/jqas-2018-0062.
Farbmacher, Helmut, Raphael Guber, and Sven Klaaßen (2022) “Instrument Validity Tests with Causal Forests,” Journal of Business & Economic Statistics, 40 (2), 605–614, 10. 1080/07350015.2020.1822919.
Fuld, Elan (2005)“Clutch and Choke Hitters in Major League Baseball,” Journal of Sports Economics, 6 (4), 391–400.
Gray, Rob(2004)“Attending to the Execution of a Complex Sensorimotor Skill: Expertise Differences, Choking, and Slumps,” Journal of Experimental Psychology: Applied, 10 (1), 42–54, 10.1037/1076-898X.10.1.42.
Green, Brett and Jeffrey Zwiebel (2018) “The Hot-Hand Fallacy: Cognitive Mistakes or Equilibrium Adjustments? Evidence from Major League Baseball,” Management Science, 64 (11), 5315–5348, 10.1287/mnsc.2017.2804.
Greer, Brett, Thomas Pechous, and Thomas Trapp (2020) “Swing Shift: A Mathematical Approach to Defensive Positioning in Baseball,” in MIT Sloan Sports Analytics Conference, https://www.sloansportsconference.com.
Hausman, Jerry A (1978) “Specification tests in econometrics,” Econometrica: Journal of the econometric society, 1251–1271.
Hill, D. M., S. Hanton, N. Matthews, and S. Fleming (2010) “Choking in Sport: A Re view,” International Review of Sport and Exercise Psychology, 3 (1), 24–39.
Horowitz, Joel L (2011) “Applied nonparametric instrumental variables estimation,” Econometrica, 79 (2), 347–394.
Huber, Martin and Giovanni Mellace(2015)“Testing Instrument Validity for LATE Identification Based on Inequality Moment Constraints,” The Review of Economics and Statistics, 97 (2), 398–411, 10.1162/REST_a_00450.
Imbens, Guido W. and Donald B. Rubin (1997) “Estimating Outcome Distributions for Compliers in Instrumental Variables Models,” The Review of Economic Studies, 64 (4), 555–574.
James, Bill (2004) “Underestimating the Fog,” Baseball Research Journal, 33, 6–10.
Jane, Wen-Jhan (2022) “Choking or Excelling under Pressure: Evidence of the Causal Effect of Audience Size on Performance,” Accident Analysis & Prevention, 175, 106756, 10.1016/j.aap.2022.106756.
Kasy, Maximilian (2011) “Identification in triangular systems using control functions,” Econometric Theory, 27 (3), 663–671.
Kennedy-Shaffer, Lee (2024) “The Effects of Major League Baseball’s Ban on Infield Shifts: A Quasi-Experimental Analysis,” https://arxiv.org/abs/2411.15075.
Kim, Seolah (2019) “A Consistent Nonparametric Test for Endogeneity,” Manuscript, not yet published.
Kitagawa, Toru(2015)“A Test for Instrument Validity,” Econometrica, 83(5), 2043–2063, 10.3982/ECTA11974.
Koch, Brandon Lee D. and Anna K. Panorska (2013) “The Impact of Temperature on Major League Baseball,” Weather, Climate, and Society, 5 (4), 359–366, 10.1175/ WCAS-D-13-00002.1.
Lindholm, Scott (2015) “Clutch Hitting Visualized,” https://www.beyondtheboxscore.com/2015/5/11/8577943/baseball-clutch-hitting-visualized, Accessed: 2025-07-02.
Markes, Sonia, David Yoon, and Alberto Abadie (2024) “Causal Effect of the Infield Shift in the MLB,” https://arxiv.org/abs/2409.03940.
Mourifié, Ismael and Yuanyuan Wan (2017) “Testing Local Average Treatment Effect As sumptions,” The Review of Economics and Statistics, 99 (2), 305–313, 10.1162/REST_ a_00622.
Murtazashvili, Ilia and Jeffrey M. Wooldridge (2016) “A control function approach to estimating switching regression models with endogenous explanatory variables and endogenous switching,” Journal of Econometrics, 190 (2), 252–266, 10.1016/j. jeconom.2015.06.009.
Newey, Whitney K, James L Powell, and Francis Vella (1999) “Nonparametric estimation of triangular simultaneous equations models,” Econometrica, 67 (3), 565–603.
Robins, James M, Andrea Rotnitzky, and Lue Ping Zhao (1994) “Estimation of regression coefficients when some regressors are not always observed,” Journal of the American statistical Association, 89 (427), 846–866.
Robinson, Peter M(1988)“Root-N-consistent semiparametric regression,” Econometrica: Journal of the Econometric Society, 931–954.
Ruane, Tom (2005) “In Search of Clutch Hitting,” Baseball Research Journal, 34, 32–43, Society for American Baseball Research.
Rubin, Donald B (1974) “Estimating causal effects of treatments in randomized and non randomized studies.,” Journal of educational Psychology, 66 (5), 688.
Schulz, R. and C.Curnow(1988)“Peak Performance and Age among Superathletes: Track and Field, Swimming, Baseball, Tennis, and Golf,” Journal of Gerontology, 43 (5), P113–P120, 10.1093/geronj/43.5.P113.
Shaw, Tyler (2024) “An Analysis of the Impacts of Pitch Clock Experience on Major League Baseball.”
Silver, Nate (2006) “Is David Ortiz a Clutch Hitter?” in Jonah Keri ed. Baseball Between the Numbers: Why Everything You Know About the Game is Wrong, 23–42: Basic Books, Adapted and excerpted with permission from Baseball Prospectus.
Silverman, Bernard W (2018) Density estimation for statistics and data analysis, Rout ledge.
Su, Liangjun and Aman Ullah (2008) “Local polynomial estimation of nonparametric simultaneous equations models,” Journal of Econometrics, 144 (1), 193–218.
Sverdrup, Erik and Stefan Wager (2023) “Treatment heterogeneity with right censored outcomes using grf,” arXiv preprint, https://arxiv.org/abs/2312. 02482, arXiv:2312.02482.
Wager, Stefan and Susan Athey (2018) “Estimation and Inference of Heterogeneous Treatment Effects using Random Forests,” Journal of the American Statistical Association, 113 (523), 1228–1242, 10.1080/01621459.2017.1319839.
何翰東(2024)“2023 大聯盟政策之影響探討,”July,10.6342/NTU202402247.
柯杰岷(2024) “投球計時器對投手表現之影響:以大聯盟為例,”https://hdl.handle.net/11296/xg7r5d, 臺灣博碩士論文知識加值系統.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99286-
dc.description.abstract本研究運用 2022 至 2024 年美國職棒大聯盟(MLB)常規賽的逐打席資料,探討在得點圈(RISP)情境下打擊表現是否存在因果效應。儘管球迷與媒體常把球員在得點圈的表現視為關鍵時刻發揮,但該效果在實證研究中始終存在爭議。為釐清此議題,本文採用 Instrumental Variable Forest(IV Forest)方法,兼顧內生性問題並估計異質性處理效應。實證結果顯示,RISP 對打擊表現有統計上顯著的負向影響,且該效果在年齡較輕、資歷較淺、近期打擊表現較好的打席中更為明顯。進一步分析發現,2023 年 MLB 實施限制防守轉位等新規則後,RISP 效果明顯趨近於零,顯示制度性改革不僅能改變場上的場上條件,也可能影響選手如何感受與因應高壓情境,進而影響其實際表現。整體而言,本文挑戰了「得點圈打擊表現僅為隨機誤差」的說法,並突顯球員特徵、比賽情境與制度改革交互作用的重要性。zh_TW
dc.description.abstractThis study investigates the causal effect of batting with runners in scoring position (RISP), using MLB plate appearance data from 2022 to 2024 season. While RISP performance is often associated with clutch ability by fans and media, its validity as a psychological or behavioral effect remains controversial in empirical research. To address this, we apply Instrumental Variable Forest (IV Forest), a machine learning method that accommodates treatment endogeneity and estimates heterogeneous treatment effects. Our findings show a statistically significant average negative effect of RISP on batting performance. Importantly, treatment effects vary across players, with younger, less experienced batters and those who have recently performed well showing greater negative impacts. We also discuss temporal shifts. In 2023, the average effect diminished to near zero following MLB rule changes, indicating that institutional reforms may reshape the psychological context in which high-leverage situations are perceived and responded to. Overall, our results challenge the notion that RISP performance is purely random, and instead emphasize the interaction of player traits, situational pressure, and institutional change.en
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dc.description.tableofcontentsAcceptance Certificate i
Acknowledgements ii
摘要 iii
Abstract iv
Contents vi
List of Figures ix
List of Tables x
Chapter 1 Introduction 1
Chapter 2 Literature Review 4
2.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
2.2 Limitations of Existing Methods . . . . . . . . . . . . . . . . . . . 5
2.3 Methodological Advances . . . . . . . . . . . . . . . . . . . . . . 6
2.4 The Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
Chapter 3 Method 8
3.1 Potential Outcome Framework . . . . . . . . . . . . . . . . . . . . 8
3.2 Generalized Random Forest . . . . . . . . . . . . . . . . . . . . . 10
3.2.1 Core of GRF . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
3.2.2 Honest Estimation . . . . . . . . . . . . . . . . . . . . . . . . . . 11
3.2.3 Splitting Criterion . . . . . . . . . . . . . . . . . . . . . . . . . . 12
3.3 Instrumental Variable Forest . . . . . . . . . . . . . . . . . . . . . 14
3.4 Nonparametric Endogeneity Test . . . . . . . . . . . . . . . . . . . 16
3.5 Instrument Validity Test . . . . . . . . . . . . . . . . . . . . . . . 18
Chapter 4 Empirical Study 23
4.1 Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
4.2 Descriptive Statistics . . . . . . . . . . . . . . . . . . . . . . . . . 26
4.3 Empirical Results: Full Sample Analysis (2022–2024) . . . . . . . 28
4.3.1 Average Treatment Effects . . . . . . . . . . . . . . . . . . . . . 28
4.3.2 Heterogeneous Treatment Effects . . . . . . . . . . . . . . . . . . 30
4.3.3 HTE across Subgroups . . . . . . . . . . . . . . . . . . . . . . . 31
4.3.4 Local FDR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
4.4 Empirical Results: Season-by-Season Analysis . . . . . . . . . . . 40
4.4.1 Distributional Comparison of 𝜏ˆ𝑖 across Seasons . . . . . . . . . . 40
4.4.2 Two-Sample t-Test across Seasons . . . . . . . . . . . . . . . . . 42
4.4.3 Heatplot Comparison across Seasons . . . . . . . . . . . . . . . . 43
4.5 Robustness Check . . . . . . . . . . . . . . . . . . . . . . . . . . 44
4.5.1 Testing for Endogeneity . . . . . . . . . . . . . . . . . . . . . . . 44
4.5.2 Testing for Instrument Validity . . . . . . . . . . . . . . . . . . . 46
4.5.3 Robustness Check: Varying PA Thresholds . . . . . . . . . . . . . 47
Chapter 5 Conclusion and Discussion 49
References 51
Appendix A — 59
A.1 Player Characteristics with local fdr < 0.25 . . . . . . . . . . . . . 59
A.2 Heterogeneity in Covariates for different season . . . . . . . . . . . 59
A.3 Variable Importance Table for each individual year . . . . . . . . . 65
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dc.language.isoen-
dc.subject得點圈表現zh_TW
dc.subject工具變數森林zh_TW
dc.subject因果推論zh_TW
dc.subject異質性處理效應zh_TW
dc.subject規則改變zh_TW
dc.subjectIV Foresten
dc.subjectRules Changeen
dc.subjectPerformance with RISPen
dc.subjectCausal inferenceen
dc.subjectHeterogeneous Treatment Effectsen
dc.title棒球得點圈打擊表現之因果推論與異質性分析:工具變數森林之應用zh_TW
dc.titleCausal Inference and Heterogeneity in Baseball Batting Performance with Runners in Scoring Position: An Application of Instrumental Variable Forestsen
dc.typeThesis-
dc.date.schoolyear113-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee黃景沂;朱建達zh_TW
dc.contributor.oralexamcommitteeCHING-I HUANG;Jian-Da Zhuen
dc.subject.keyword得點圈表現,工具變數森林,因果推論,異質性處理效應,規則改變,zh_TW
dc.subject.keywordPerformance with RISP,IV Forest,Causal inference,Heterogeneous Treatment Effects,Rules Change,en
dc.relation.page67-
dc.identifier.doi10.6342/NTU202503389-
dc.rights.note同意授權(限校園內公開)-
dc.date.accepted2025-08-08-
dc.contributor.author-college社會科學院-
dc.contributor.author-dept經濟學系-
dc.date.embargo-lift2025-08-22-
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