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Psychological Pressure in Competitive Environments

Psychological Pressure in Competitive Environments. Ignacio Palacios-Huerta LSE Rationality, Heuristics and Motivation in Decision Making Centro di Ricerca Matematica Ennio De Giorgi Scuola Normale Superiore Pisa, November 2010. Motivation. How important are psychological elements:

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Psychological Pressure in Competitive Environments

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  1. Psychological Pressure in Competitive Environments Ignacio Palacios-Huerta LSE Rationality, Heuristics and Motivation in Decision Making Centro di Ricerca Matematica Ennio De Giorgi Scuola Normale Superiore Pisa, November 2010

  2. Motivation • How important are psychological elements: - as constituents of human nature? - as determinants of human behavior and human performance (behavior and skills)? - as determinants of human behavior in competitive environments? • Evidence from laboratory experiments and real life. » See Falk and Heckman, Science 2009.

  3. Ideal: Study human behavior in real life settings • But unfortunately... Nature rarely creates the circumstances that allow a clear view and a precise measurement of the psychological elements at work.

  4. Today, two papers: 1. “Psychological Pressure in Competitive Environments: Evidence from a Randomized Natural Experiment” (joint with Jose Apesteguia, U Pompeu Fabra) American Economic Review forthcoming. 2. “Pawns of the Emotions: Psychological Elements in Cognitively Sophisticated Humans” (joint with Julio González-Díaz, U Santiago de Compostela)

  5. 1. “Psychological Pressure in Competitive Environments: Evidence from a Randomized Natural Experiment” (with Jose Apesteguia, U Pompeu Fabra) American Economic Review forthcoming

  6. Penalty Shoot-outs in Soccer • Shoot-outs are a method to determine the winning team when a soccer match ends in a draw. • Basic FIFA rules (1970-2003): • The referee tosses a coin and the team whose captain wins the toss takes the first kick (there is no choice). • The kicks are taken alternately by the teams. • A kick has only two possible outcomes: score or no score. • Both teams take five kicks. • If, after both teams have taken five kicks, both have scored the same number of goals, kicks continue to be taken in the same order until one team has scored a goal more than the other from the same number of kicks. A B A B A B A B A B

  7. Main Characteristics • Randomized experiment: the treatment and control groups are determined via explicit randomization. Plus: • Natural setting. • Subjects are professionals. • Stakes are high. • The task is simple and well-defined. • The task is effortless. • Risk plays no role (two outcomes, Bernoulli trials) • The outcome is determined immediately (no subsequent play).

  8. Preview of Main Results • Intuitively, there is no rational reason in this setting why winning probabilities should be different from 50-50. • And yet, we find a greater winning probability for the team that kicks first, about 60-40. • Further, professionals: • are aware of psychological effects; • rationally respond to them: when a change in 2003 in the FIFA rules gives them the chance to choose the kicking order, they systematically choose to go first; • when surveyed, professionals identify a specific psychological mechanism for their choices.

  9. The mechanism that professionals identify is the one for which we find support in a discrete dynamic panel data analysis with lagged endogenous variables: • Idea:Kicking first means a greater chance to lead in the partial score, and kicking second a greater chance to lag in the score and at most, get even. • “Lagging Aversion:” lagging in the score, and thus having a worse “local” prospect than the opponent, appears to hinder the performance of the subjects.

  10. Related Literature I • Behavioral Economics: • Reference points (e.g., preferences with gain-loss asymmetries). • Pessimism and Anxiety • Evidence from changes in mood and arousal (media violence, weather, etc) • No evidence from dynamic and strictly competitive settings (leading vs lagging asymmetry as oppossed to gains vs losses asymmetry).

  11. Related Literature II • Labor Economics: Tournaments • Tournaments are pervasive in organizations. • Extensive theoretical and empirical literature. • No evidence that psychological elements may be a relevant determinant of performance in tournament settings (zero-sum or strictly competitive settings). • Risk, effort and other variables are often important, but play no role in this setting.

  12. Related Literature III • Social Psychology Literature • Expert performance • Performance under pressure from high stakes, audience, etc but not psychological pressure from the “state” of the competition • Ex Post Fairness of Coins Flips in Sports • Is a coin fair? E.g., in NFL sudden death extra time a coin gives more chances to a team. • But here both teams have the same chances, and yet human nature makes a coin flip ex post unfair.

  13. Dataset • Fully comprehensive • All shoot-outs in the major international competitions (at national and club levels), e.g., World Cup, European Cup, Champions League, etc. • Finals of main national Cups • Others • All relevant variables: • Outcomes for each penalty kick: score, no score. • Team information: rankings, category, position, experience. • Location of the match (home, away, neutral) • Competition type

  14. No difference in pre-treatment characteristics:

  15. The Main Result Since this is a perfect Randomized Experiment the Average Treatment Effect is: 60.5 – 39.5: 21%

  16. Result prevalent across characteristics

  17. Using Probit and Logit regressions:

  18. Next • i. Are subjects aware of any psychological effects on performance? ii. If so, how do they react when they are given the chance to choose the kicking order? iii. Why they react the way they do? • Where does the effect come from? i. Dynamic Performance: Dynamic Panel Data Analysis ii. Kicker vs goalkeeper effects • Policy Implications

  19. 1. Awareness of the Effects and Players’ Reaction FIFA changed the rule in July 2003, from: “The referee tosses a coin and the team whose captain wins the toss takes the first kick” to: “The referee tosses a coin and the team whose captain wins the toss chooses whether to take the first kick or the second kick.”

  20. How Do Players Behave? • Small sample of videos (around 20): - Difficult to observe the coin toss moment; - In every case except one (Italy vs Spain, European Championship, June 2008) the winner chose to go first. http://www.youtube.com/watch?v=k8xRMqCA9y4 ● Better with a survey

  21. Survey of 240 Players and Coaches • Q1: “Assume you are playing a penalty shoot-out. You win the coin toss and have to choose whether to kick first or second. What would you choose: first; second; either one, I am indifferent; or, it depends?” • Q2: “Please explain your decision: why would you do what you just said?”

  22. Answer: 96% say “in order to put pressure on the kicker”

  23. Hence: • Subjects are aware of the result; • They react rationally to these psychological effects by systematically choosing to kick first; • They attribute the result to a specific psychological mechanism: “to put pressure on the kicker of the opposing team.”

  24. 2.1. The Mechanism: Descriptive Evidence

  25. Descriptive Patterns Scoring rate: Typically lower and drops over the rounds for the second team. PK Importance: Greater for the second team. Scoring and Importance negatively correlated along the two most frequent paths of observations.

  26. 2.2 The Mechanism: Dynamic Performance • We need to estimate a dynamic discrete choice panel data model with lagged endogenous variables (e.g., lagged outcomes, partial score) and unobserved heterogeneity. • The estimation of these models involves a great deal of difficulties (Arellano and Honore, 2002). • Ignoring state dependence (lagged outcomes) and unobserved heterogeneity yields biased and inconsistent estimates. • We implement the model by Arellano and Carrasco (2003): It is a semi-parametric, random effects model with lagged endogenous variables and unobserved heterogeneity that yields consistent estimates.

  27. Marginal Effects: Transition Across States

  28. The evidence is consistent with the survey results: • Lagging in the partial score has a detrimental effect on performance: - The second team is more likely to find itself with a partial score of -1, and hence has significantly greater chances of losing the tournament. • No evidence that leading in the score has a positive effect on scoring.

  29. 2.3. Additional Evidence: Kicker or Goalkeeper? • A penalty kick involves 2 players, not one. Why should all the psychological effects come from the kicker? • Survey: • “Pressure only on the kicker” • Not a single player says “in order to enhance the performance of my goalkeeper” • Intuition why it may come mostly from the kicker: - Since most penalties are scored, the upside for the goalkeeper is always greater but less likely than the downside. The opposite is the case for the kicker: his upside is smaller but more likely than the downside. - Hence, a greater pressure on the kicker may reflect some form of probabilistic loss aversion, that is if losses are perceived disproportionally larger than gains.

  30. Evidence from a subsample

  31. 3. Policy Implications • Performance information available or released during a competition may affect performance exclusively for psychological reasons. • Timing of tasks and release of information in contests. • Examples: - Student competitions in schools (e.g., release of interim student scores both own and others) - Competitions for promotion in organizations - R&D races, political competitions (e.g., release of voting tendencies) - Sequential ordering of tasks

  32. Appendix: Theoretical Model • A simple two parameter model: p > 0 probability of scoring if a team is ahead or tied q > 0 probability of scoring if a team is behind p > q > 0 • This p-q model always generates a first team advantage • Other models (e.g., p-q are team specific or players are heterogeneous in quality) do not. • No implications with respect to location of players even in simplest version

  33. Conclusions • Randomized natural experiment with unusually useful characteristics. • For Behavioral Economics: We find a novel psychological effect not documented previously. - This effect has an impact on human performance. - Applicability: Competitive environments. • For Rational choice theory: Individuals are aware and rationally respond to it.

  34. 2. “Pawns of the Emotions: Psychological Elements in Cognitively Sophisticated Humans” (joint with Julio González-Díaz U Santiago de Compostela)

  35. A “Chess Match” Similarities with a penalty shoot-out: ● A chess match is a tournament between 2 players with an even number of chess games (typically 8 to 12) ● Colors of the pieces (white/black) alternate from game to game. ● Both players play the same amount of times with each color. ● Whites are better, and who begins in the first game with the white pieces is randomly decided.

  36. Differences with a penalty shoot-out: 1.Task: A cognitive task (kicking a ball is non-cognitive) 2.Subjects: Chess players are extremely smart humans (soccer players not at the same cognitive level) 3.Time: One game per day, with plenty of time and a team of analysts (not just a few seconds, in the “heat of the moment”). 4.Chance to lead: Minimal. In soccer: very large. Beginning the first game with white pieces gives a minimal advantage to lead 28%(win)-17%(lose)-55%(draw), whereas in a penalty shoot-out penalties are scored around 80% of the time)

  37. Beginning with Whites Gives a Significant Advantage

  38. The Effect is Greater at the Top: Elite and WC matches

  39. Effect Only When Players Are Very Similar

  40. Notes on the potential role of risk: • Three outcomes are possible in a game: win, lose and draw. • Players may adapt the risk they take. • If risk is taken into consideration, then the effects we have documented are a lower bound on the actual size of the psychological effect.

  41. Addendum Psychological Pressure in Competitive Environments From the Field to the Laboratory

  42. Experiments in the Field In Apesteguia and Palacios-Huerta (2010) we run 3 experiments with professional soccer players: • Sequential-2006: A sequential penalty shoot-out (as in the natural setting). • Simultaneous: A simultaneous penalty shoot-out. • Sequential-2007: one year later, same teams as Sequential-2006, but in reverse order. Conjectures: (i) First mover advantage in the sequential versions, exactly as in the field. (ii) No diference between the two sequential versions. (iii) No advantage for either team in the simultaneous version.

  43. Design • 20 teams of 6 professional soccer players (5 kickers and 1 goalie) • Each treatment (10 shoot-outs). • Maximum of 5 kicks (ties are allowed). Payments: - 3 Euros for a score to the kicker - 3 Euros to the goalie for a failed kick (missed or saved). - 60 Euros for the winning team, 0 to the loser, 20 if tied.

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