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Measuring Gender with Games 
IFPRI Gender Methods Seminar 
October 25, 2013 
By Jessica Hoel, PHND Postdoctoral Fellow
How I came to study gender with games
Why games are good 
 Answer very specific questions 
 Controlled environment 
 Abstract away from many things going on in the 
background 
 Put specific numbers on abstract concepts
What games miss 
 Answer only the specific question you asked 
 Context 
 Subtlety 
 Contingency 
 Heterogeneity
Goals for this presentation 
 Framework for thinking about gender differences in 
outcomes 
 Helped me to get to more specific questions 
Examples of laboratory games used to measure 
different factors 
 Not comprehensive 
 Inspiration for future work 
 Tips for new lab experimentalists
An Economist thinks about Gender 
max 
 
[ 	 ]
An Economist thinks about Gender 
max 
 
[ 	 ]
An Economist thinks about Gender 
max 
 
[ 	 ]
An Economist thinks about Gender 
max 
 
[ 	 ]
An Economist thinks about Gender 
max 
 
[ 	 ] 
such that  ∗ 	 ≤
An Economist thinks about Gender 
max 
 
[ 	 ] 
Agency 
such that  ∗ 	 ≤
An Economist thinks about Gender 
max 
 
[ 	 ] 
such that  ∗ 	 ≤  
Constraints 
Agency
An Economist thinks about Gender 
max 
 
[ 	 ] 
such that  ∗ 	 ≤  
Preferences 
Constraints 
Agency
An Economist thinks about Gender 
max 
 
Beliefs Preferences 
[ 	 ] 
such that  ∗ 	 ≤  
Constraints 
Agency
Reasons for Gender Differences in Outcomes 
 Agency 
 Constraints 
 Preferences 
 Beliefs
Beliefs 
 Exploring gendered behavior in the field with 
experiments: Why public goods are provided by 
women in a Nairobi slum by Fiona Grieg and Iris 
Bohnet JEBO 2009 
 Research Topic: Why are informal savings groups most 
often composed of only women? 
 Research Question: Do people contribute differently to 
public goods in mixed gender v. same gender groups?
Voluntary Contribution Game
Voluntary Contribution Game
Voluntary Contribution Game 
First Stage 
Everyone gets same endowment; 
can contribute to Common Pot or 
keep for self
Voluntary Contribution Game 
Second Stage 
Multiply Common Pot by 20 
KSH, then distribute evenly 
Tokens kept for self 
are worth 10 KSH
Beliefs 
 270 slum dwellers outside Nairobi 
 Men and women give equally in same gender groups 
 Men give the same in mixed and same gender groups 
 But women give less in mixed gender groups. 
 Women in mixed gender groups say they expect other 
participants to contribute less 
 Women have different beliefs about how much men will 
contribute.
Preferences 
 Gender differences in risk attitudes: Field 
experiments on the matrilineal Mosuo and 
the patriarchal Yi by Binglin Gong and Chun-Lei 
Yang JEBO 2012. 
 Research Question: do men and women have 
different preferences for risk? 
 If so, are gender differences consistent across 
matrilineal and patrilineal societies?
Investment Game 
100% chance tokens 
will payout 10 RMB 
50% chance tokens will 
payout 30 RMB 
50% chance tokens will 
payout 0 RMB
Categorizing Games 
 Note that Investment Game is a twist on the 
Voluntary Contribution Game 
 VCG 
 Outcome determined by other players 
 Distribution of outcomes is wide 
 Investment Game 
 Outcome determined by chance 
 Only two possible outcomes
Preferences 
 132 men and women from two villages, one matrilineal 
and one patrilineal. 
 Men invest more in risky asset than women in both 
groups, but difference between them is smaller in 
matrilineal society. 
 Suggests men and women have different risk 
preferences, and that the difference is partially 
influenced by culture.
Constraints 
 Does Africa Need a Rotten Kin Theorem? 
Experimental Evidence from Village Economies by 
Pamela Jakiela and Owen Ozier (November 2012) 
 Research Question: Do men and women feel different 
social pressure to share income with relatives and 
neighbors?
Twist on Investment Game 
50% of people get BIG 
endowment: 18 tokens 
50% of people get SMALL 
endowment: 8 tokens
Twist on Investment Game 
PRIVATE PRIVATE PRIVATE 
50% of people get 
Private Treatment 
50% of people get 
Public Treatment
Constraints 
 If social pressure doesn’t matter, people who get 
big endowment should invest the same amount in 
the risky cup regardless of public v. private 
treatment. 
 But if social pressure matters, and respondent gets 
the big endowment in the public treatment, should 
invest no more than 8 tokens in the risky cup. 
 2145 subjects from rural villages in Kenya.
Constraints 
 Men invest the same amount in the risky cup in the 
Private and Public treatments. 
 Women are substantially more likely to invest no more 
than 8 tokens in the risky cup when their decision is 
public and they receive the large endowment. 
 Suggests that women face different pressures to share 
with their friends and relatives than do men. 
 This reflects different constraints on choices.
Agency 
 What Causes Inefficiency between Spouses? A Within- 
Subject Structural Test of the Relative Importance of 
Asymmetric Information and Limited Contracting with 
Experimental Evidence from Kenya by Jessica Hoel 
(September 2013) 
 One Research Topic: do spouses act as if they have equal control 
over household resources? 
 One Research Question: are spouses willing to sacrifice 
household income to maintain some personal control?
Dictator Game 
PUBLIC DECISION 
Tokens pay 
30 KSH 
Tokens pay 
20 KSH
Agency 
 If husbands and wives share resources, respondents 
should put all tokens in the Spouse cup. 
 Maximizes total winnings for the household. 
 Can go home and reallocate later. 
 But if a respondent doesn’t believe that settling up will 
happen, may keep some tokens for Self. 
 Play Public Spouse dictator games with 370 couples in 
Kenya
What this looks like
Agency 
Not very many 
people play 
efficiently. 
Lots of people split the 
money exactly evenly.
Agency 
Women more likely than men to split money exactly evenly. 
Efficient 
Even 
distribution 
of money.
Agency 
 Suggests that men have more control over 
household resources than women do. 
 Women sacrifice more household resources to 
maintain personal control over some. 
 Women choose even allocation more often, 
perhaps because they don’t believe reallocation 
will happen later. 
 Women have different agency than men do.
Structural Behavioral Model 
 Model that parameterizes motives to give money in dictator game 
 Play 5 types of dictator game with spouses and strangers 
 Structurally estimate parameters of model for each individual 
 Measure 5 motives to share money 
 Efficiency between spouses 
 Limited Contracting between spouses 
 Asymmetric Information between spouses 
 Altruism to strangers 
 Fairness with strangers
Tips for new lab experimentalists 
 Be creative 
 But “read” the literature (i.e. ask someone who 
knows the literature) 
 Be specific 
 Keep your design and script as simple as 
possible
Questions and Discussion

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Gender and Games - IFPRI Gender Methods Seminar

  • 1. Measuring Gender with Games IFPRI Gender Methods Seminar October 25, 2013 By Jessica Hoel, PHND Postdoctoral Fellow
  • 2. How I came to study gender with games
  • 3. Why games are good  Answer very specific questions  Controlled environment  Abstract away from many things going on in the background  Put specific numbers on abstract concepts
  • 4. What games miss  Answer only the specific question you asked  Context  Subtlety  Contingency  Heterogeneity
  • 5. Goals for this presentation  Framework for thinking about gender differences in outcomes  Helped me to get to more specific questions Examples of laboratory games used to measure different factors  Not comprehensive  Inspiration for future work  Tips for new lab experimentalists
  • 6. An Economist thinks about Gender max [ ]
  • 7. An Economist thinks about Gender max [ ]
  • 8. An Economist thinks about Gender max [ ]
  • 9. An Economist thinks about Gender max [ ]
  • 10. An Economist thinks about Gender max [ ] such that ∗ ≤
  • 11. An Economist thinks about Gender max [ ] Agency such that ∗ ≤
  • 12. An Economist thinks about Gender max [ ] such that ∗ ≤ Constraints Agency
  • 13. An Economist thinks about Gender max [ ] such that ∗ ≤ Preferences Constraints Agency
  • 14. An Economist thinks about Gender max Beliefs Preferences [ ] such that ∗ ≤ Constraints Agency
  • 15. Reasons for Gender Differences in Outcomes  Agency  Constraints  Preferences  Beliefs
  • 16. Beliefs  Exploring gendered behavior in the field with experiments: Why public goods are provided by women in a Nairobi slum by Fiona Grieg and Iris Bohnet JEBO 2009  Research Topic: Why are informal savings groups most often composed of only women?  Research Question: Do people contribute differently to public goods in mixed gender v. same gender groups?
  • 19. Voluntary Contribution Game First Stage Everyone gets same endowment; can contribute to Common Pot or keep for self
  • 20. Voluntary Contribution Game Second Stage Multiply Common Pot by 20 KSH, then distribute evenly Tokens kept for self are worth 10 KSH
  • 21. Beliefs  270 slum dwellers outside Nairobi  Men and women give equally in same gender groups  Men give the same in mixed and same gender groups  But women give less in mixed gender groups.  Women in mixed gender groups say they expect other participants to contribute less  Women have different beliefs about how much men will contribute.
  • 22. Preferences  Gender differences in risk attitudes: Field experiments on the matrilineal Mosuo and the patriarchal Yi by Binglin Gong and Chun-Lei Yang JEBO 2012.  Research Question: do men and women have different preferences for risk?  If so, are gender differences consistent across matrilineal and patrilineal societies?
  • 23. Investment Game 100% chance tokens will payout 10 RMB 50% chance tokens will payout 30 RMB 50% chance tokens will payout 0 RMB
  • 24. Categorizing Games  Note that Investment Game is a twist on the Voluntary Contribution Game  VCG  Outcome determined by other players  Distribution of outcomes is wide  Investment Game  Outcome determined by chance  Only two possible outcomes
  • 25. Preferences  132 men and women from two villages, one matrilineal and one patrilineal.  Men invest more in risky asset than women in both groups, but difference between them is smaller in matrilineal society.  Suggests men and women have different risk preferences, and that the difference is partially influenced by culture.
  • 26. Constraints  Does Africa Need a Rotten Kin Theorem? Experimental Evidence from Village Economies by Pamela Jakiela and Owen Ozier (November 2012)  Research Question: Do men and women feel different social pressure to share income with relatives and neighbors?
  • 27. Twist on Investment Game 50% of people get BIG endowment: 18 tokens 50% of people get SMALL endowment: 8 tokens
  • 28. Twist on Investment Game PRIVATE PRIVATE PRIVATE 50% of people get Private Treatment 50% of people get Public Treatment
  • 29. Constraints  If social pressure doesn’t matter, people who get big endowment should invest the same amount in the risky cup regardless of public v. private treatment.  But if social pressure matters, and respondent gets the big endowment in the public treatment, should invest no more than 8 tokens in the risky cup.  2145 subjects from rural villages in Kenya.
  • 30. Constraints  Men invest the same amount in the risky cup in the Private and Public treatments.  Women are substantially more likely to invest no more than 8 tokens in the risky cup when their decision is public and they receive the large endowment.  Suggests that women face different pressures to share with their friends and relatives than do men.  This reflects different constraints on choices.
  • 31. Agency  What Causes Inefficiency between Spouses? A Within- Subject Structural Test of the Relative Importance of Asymmetric Information and Limited Contracting with Experimental Evidence from Kenya by Jessica Hoel (September 2013)  One Research Topic: do spouses act as if they have equal control over household resources?  One Research Question: are spouses willing to sacrifice household income to maintain some personal control?
  • 32. Dictator Game PUBLIC DECISION Tokens pay 30 KSH Tokens pay 20 KSH
  • 33. Agency  If husbands and wives share resources, respondents should put all tokens in the Spouse cup.  Maximizes total winnings for the household.  Can go home and reallocate later.  But if a respondent doesn’t believe that settling up will happen, may keep some tokens for Self.  Play Public Spouse dictator games with 370 couples in Kenya
  • 35. Agency Not very many people play efficiently. Lots of people split the money exactly evenly.
  • 36. Agency Women more likely than men to split money exactly evenly. Efficient Even distribution of money.
  • 37. Agency  Suggests that men have more control over household resources than women do.  Women sacrifice more household resources to maintain personal control over some.  Women choose even allocation more often, perhaps because they don’t believe reallocation will happen later.  Women have different agency than men do.
  • 38. Structural Behavioral Model  Model that parameterizes motives to give money in dictator game  Play 5 types of dictator game with spouses and strangers  Structurally estimate parameters of model for each individual  Measure 5 motives to share money  Efficiency between spouses  Limited Contracting between spouses  Asymmetric Information between spouses  Altruism to strangers  Fairness with strangers
  • 39. Tips for new lab experimentalists  Be creative  But “read” the literature (i.e. ask someone who knows the literature)  Be specific  Keep your design and script as simple as possible