Group Size and the (In)Efficiency of Pure Public Good Provision [Dataset] (doi:10.11588/data/10069)

View:

Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
Entire Codebook

Document Description

Citation

Title:

Group Size and the (In)Efficiency of Pure Public Good Provision [Dataset]

Identification Number:

doi:10.11588/data/10069

Distributor:

heiDATA

Date of Distribution:

2016-03-16

Version:

Bibliographic Citation:

Diederich, Johannes; Goeschl, Timo; Waichman, Israel, 2016, "Group Size and the (In)Efficiency of Pure Public Good Provision [Dataset]", https://doi.org/10.11588/data/10069, heiDATA, V1, UNF:5:kp1aULj0nca125TUHszBUg== [fileUNF]

Study Description

Citation

Title:

Group Size and the (In)Efficiency of Pure Public Good Provision [Dataset]

Identification Number:

doi:10.11588/data/10069

Authoring Entity:

Diederich, Johannes (Alfred-Weber-Institute of Economics)

Goeschl, Timo (Alfred-Weber-Institute of Economics)

Waichman, Israel (Alfred-Weber-Institute of Economics)

Producer:

Diederich, Johannes

Goeschl, Timo

Waichman, Israel

Distributor:

heiDATA

Distributor:

heiDATA: Heidelberg Research Data Repository

Access Authority:

Waichman, Israel

Date of Deposit:

2016-03-09

Holdings Information:

https://doi.org/10.11588/data/10069

Study Scope

Keywords:

Social Sciences, public good game, large group, extra-laboratory experiment, free riding, belief elicitation

Topic Classification:

C93, D74, H41

Abstract:

Are larger groups better at cooperation than smaller groups? This paper investigates, under controlled conditions, the presence and direction of a possible group size effect in pure public good provision by large heterogeneous groups. Employing subjects drawn from the general population and introducing Internet-based procedures to study this question, we collected experimental evidence from 1,110 subjects playing a linear public goods game in groups of 10, 40, and 100 members. We find a positive and significant group size effect: Increasing group size by a factor of 10 (4) increased efficiency by 10 (6) percent. The effect arose at the intensive margin and with repetition. Those who contributed contributed more in larger groups. Larger and smaller groups had similar initial contribution levels, but cooperation rates declined more slowly in the larger groups. Free-riding was invariant to group size, despite subjects' persistent beliefs of a negative group size effect at the extensive margin. Further econometric examination of the data supports these findings and provides starting points for future theoretical an d experimental research on the group size effect.

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

File Description--f588

File: data_stata12.tab

Number of cases: 7770
No. of variables per record: 29
Type of File: text/tab-separated-values

Notes:

UNF:5:iSfX80enQ2/HjKXE5AA0OQ==

File Description--f589

File: defaults_stata12.tab

Number of cases: 35
No. of variables per record: 27
Type of File: text/tab-separated-values

Notes:

UNF:5:Lj6PRmitIkRe2bP1XdUNag==

Variable Description

List of Variables:

subjectid - Unique subject identifier
session - Session identifier
sex - Female
age - Age category
bundesland - Bundesland
education - Education
plz - German PLZ (ZIP) code
private - Points contributed to private account
group - Points contributed to group account
predict_n - Prediction of # of other group members contributing
predict_pts - Prediction of points other group members contribute conditional on contributing
round - Round
groupsize - Group size
endowment - Endowment
groupid - Unique group identifier
treatment - Treatment
percentgroup - Percent of endowment contributed to group account
contributor - 1 if non-freerider
predict_avg - Prediction of average contribution of other group members in points
percpred_n - Prediction of % of other group members contributing
percpred_pts - Prediction of % of endowment other group members contribute conditional on contr
percpred_avg - Prediction of average contribution of other group members in percent
sum_group - Sum of points contributed to this group's account this round
sum_group_others - Points contributed by others in group
ageyrs - Age (years)
ageyrs2 - Age squared
academic - Has academic education
bigcity - Population > 500,000
eastger - Region East, West, or Berlin
round - Round
treatment - (mean) treatment
groupsize - (mean) groupsize
endowment - (mean) endowment
private - (mean) private
group - (mean) group
percentgroup - (mean) percentgroup
predict_n - (mean) predict_n
predict_pts - (mean) predict_pts
predict_avg - (mean) predict_avg
percpred_n - (mean) percpred_n
percpred_pts - (mean) percpred_pts
percpred_avg - (mean) percpred_avg
perccontrib_n - (mean) perccontrib_n
cond_percentgroup - (mean) cond_percentgroup
se_private - (semean) private
se_group - (semean) group
se_percgroup - (semean) percentgroup
se_percpred_n - (semean) percpred_n
se_percpred_pts - (semean) percpred_pts
se_percpred_avg - (semean) percpred_avg
se_perccontrib_n - (semean) perccontrib_n
se_cond_percgroup - (semean) cond_percentgroup
groups_n - (count) group
hise
lose
percdefaults

Variables

Unique subject identifier

f588 Location:

Variable Format: numeric

Notes: UNF:5:ODOELbOO2K2sgBkgUTaeCg==

Session identifier

f588 Location:

Variable Format: numeric

Notes: UNF:5:U+xQ3js5I3xx/+DqGjGI4Q==

Female

f588 Location:

Value	Label	Frequency	Text
0.	Male	3773
1.	Female	3997

Variable Format: numeric

Notes: UNF:5:gsh/15tgDOzL8IKGgTpK8g==

Age category

f588 Location:

Value	Label	Frequency
5.	45-54	1568
4.	35-44	1757
7.	65 and older	175
3.	25-34	1540
1.	Below 18	7
2.	18-24	1365
6.	55-64	1358

Variable Format: numeric

Notes: UNF:5:ffRT5gC8bMLcLgU1FjY93A==

Bundesland

f588 Location:

Value	Label	Frequency
13.	Sachsen	560
15.	Schleswig-Holstein	287
16.	Thueringen	231
3.	Berlin	567
12.	Saarland	49
14.	Sachsen-Anhalt	161
7.	Hessen	609
11.	Rheinland-Pfalz	322
8.	Mecklenburg-Vorpommern	196
9.	Niedersachsen	630
6.	Hamburg	238
2.	Bayern	1218
5.	Bremen	77
10.	Nordrhein-Westfalen	1561
1.	Baden-Wuerttemberg	770
4.	Brandenburg	294

Variable Format: numeric

Notes: UNF:5:pdnFbVtnal1H7i14tTA39w==

Education

f588 Location:

Value	Label	Frequency
4.	College degree	784
1.	Completed apprenticeship / vocational training	2814
9.	Student in apprenticeship or vocational training	70
5.	University degree	1022
7.	No apprenticeship or degree	266
3.	Master of crafts / technician	357
8.	Student at college or university	1757
2.	Professional school / tertiary college	427
6.	Other occupational degree	182
11.	Ph.D.	70
10.	Student in school	21

Variable Format: numeric

Notes: UNF:5:w9b6TmBgC/pHdInAVUu0Cg==

German PLZ (ZIP) code

f588 Location:

Variable Format: numeric

Notes: UNF:5:w+fX2USt3PxHLss3z5Rebw==

Points contributed to private account

f588 Location:

Variable Format: numeric

Notes: UNF:5:vgCq3LxU+Dz8VYuypAoidQ==

Points contributed to group account

f588 Location:

Variable Format: numeric

Notes: UNF:5:BlT4Qe8Ze9JjbVW3nPiHoA==

Prediction of # of other group members contributing

f588 Location:

Variable Format: numeric

Notes: UNF:5:8c5XwwU8VnhmxUdmkVQ6KA==

Prediction of points other group members contribute conditional on contributing

f588 Location:

Variable Format: numeric

Notes: UNF:5:1L9oMqqpCak9B9UIWk3B9A==

Round

f588 Location:

Variable Format: numeric

Notes: UNF:5:W0wv4T5SA/N+zcVW7S+6Jg==

Group size

f588 Location:

Variable Format: numeric

Notes: UNF:5:qrs2u7hBMpOyMH14+KWjuQ==

Endowment

f588 Location:

Variable Format: numeric

Notes: UNF:5:xXtNZEBJAiUKhoh/0bv+oQ==

Unique group identifier

f588 Location:

Variable Format: numeric

Notes: UNF:5:S+CQ6qRq6OtOVnDDJashow==

Treatment

f588 Location:

Value	Label	Frequency	Text
2.	40L	0
5.	10LS	0
1.	10L	0
3.	100L	0
4.	10H	0

Variable Format: numeric

Notes: UNF:5:seI0vsWfN8cwBgSiCtX4Hw==

Percent of endowment contributed to group account

f588 Location:

Variable Format: numeric

Notes: UNF:5:/H3zBi6zh/fW8DjhtaZyHA==

1 if non-freerider

f588 Location:

Variable Format: numeric

Notes: UNF:5:mBkjn6Gg4KveHctuFIHtiQ==

Prediction of average contribution of other group members in points

f588 Location:

Variable Format: numeric

Notes: UNF:5:0PEArvcpr+l2SePRUG9ppA==

Prediction of % of other group members contributing

f588 Location:

Variable Format: numeric

Notes: UNF:5:Oln+4IOnpPzim5P2jtvbqg==

Prediction of % of endowment other group members contribute conditional on contr

f588 Location:

Variable Format: numeric

Notes: UNF:5:rD88hsO1w+zo1BmjMaXAgQ==

Prediction of average contribution of other group members in percent

f588 Location:

Variable Format: numeric

Notes: UNF:5:Sh27ZlW0wz0H3opuLWKiow==

Sum of points contributed to this group's account this round

f588 Location:

Variable Format: numeric

Notes: UNF:5:5Y5JQ3g7u1/jmhKgYk64yw==

Points contributed by others in group

f588 Location:

Variable Format: numeric

Notes: UNF:5:fTkOi8IEnxe+hquwBWuFew==

Age (years)

f588 Location:

Variable Format: numeric

Notes: UNF:5:S/vWRxGcfWkjhlzEss/8fQ==

Age squared

f588 Location:

Variable Format: numeric

Notes: UNF:5:SFbUQvtNiSlYqVOOy9xwug==

Has academic education

f588 Location:

Variable Format: numeric

Notes: UNF:5:a+JrYoZyrD4ItgU+yhZwuw==

Population > 500,000

f588 Location:

Value	Label	Frequency	Text
1.	Population > 500,000	1540
0.	Population < 500,000	6230

Variable Format: numeric

Notes: UNF:5://wuc+qFoQmd20itFHIFEw==

Region East, West, or Berlin

f588 Location:

Value	Label	Frequency
2.	East Germany	1442
1.	West Germany	5761
3.	Berlin	567

Variable Format: numeric

Notes: UNF:5:wjnyZHvW+CxpFpMUaWXjCA==

Round

f589 Location:

Variable Format: numeric

Notes: UNF:5:vwgb+C9FoOGksLsKqcApNQ==

(mean) treatment

f589 Location:

Variable Format: numeric

Notes: UNF:5:3P/2BuVe/Rcwz4OD1fco3w==

(mean) groupsize

f589 Location:

Variable Format: numeric

Notes: UNF:5:ZUy4ZacLrRyFAEf43SZNgQ==

(mean) endowment

f589 Location:

Variable Format: numeric

Notes: UNF:5:4CNV7Az7mCVk6i63Ms/JpQ==

(mean) private

f589 Location:

Variable Format: numeric

Notes: UNF:5:URlatndJj41mX73LtaiBHw==

(mean) group

f589 Location:

Variable Format: numeric

Notes: UNF:5:ZSYC2472B9VorEqfutLIHQ==

(mean) percentgroup

f589 Location:

Variable Format: numeric

Notes: UNF:5:nokhj03fw5wKfEhJn0uUFA==

(mean) predict_n

f589 Location:

Variable Format: numeric

Notes: UNF:5:7WYb/78Jw0V9iWAykXj97A==

(mean) predict_pts

f589 Location:

Variable Format: numeric

Notes: UNF:5:DSzip9Z/dK+bC4nf9dUqzA==

(mean) predict_avg

f589 Location:

Variable Format: numeric

Notes: UNF:5:Bb7vkusjDg4m2mh3fhrNXA==

(mean) percpred_n

f589 Location:

Variable Format: numeric

Notes: UNF:5:N8oC4I54gXnlNQ2SxGMTjA==

(mean) percpred_pts

f589 Location:

Variable Format: numeric

Notes: UNF:5:dkhIuBrLATQ1N8+R8rMhUQ==

(mean) percpred_avg

f589 Location:

Variable Format: numeric

Notes: UNF:5:WcLr9HRm5DzqEAp6HB91rw==

(mean) perccontrib_n

f589 Location:

Variable Format: numeric

Notes: UNF:5:OXVtS1K9isiV6cD70S/tJw==

(mean) cond_percentgroup

f589 Location:

Variable Format: numeric

Notes: UNF:5:gY3tJBiu1BX1kqliUcSJeA==

(semean) private

f589 Location:

Variable Format: numeric

Notes: UNF:5:ho4V3t+dqHY6lGm3WUqpNA==

(semean) group

f589 Location:

Variable Format: numeric

Notes: UNF:5:ho4V3t+dqHY6lGm3WUqpNA==

(semean) percentgroup

f589 Location:

Variable Format: numeric

Notes: UNF:5:gd8pap9KDjXmHlfVbcjnIg==

(semean) percpred_n

f589 Location:

Variable Format: numeric

Notes: UNF:5:y6+lrBhxtX2WfO2tN4c/ww==

(semean) percpred_pts

f589 Location:

Variable Format: numeric

Notes: UNF:5:F8ev9bYSfOT6Bu84+VQQJA==

(semean) percpred_avg

f589 Location:

Variable Format: numeric

Notes: UNF:5:F7ZafjIUorNtYCpKVcXFwQ==

(semean) perccontrib_n

f589 Location:

Variable Format: numeric

Notes: UNF:5:tgDfjRaCk/WAXjiHAQxwpQ==

(semean) cond_percentgroup

f589 Location:

Variable Format: numeric

Notes: UNF:5:csoe/YygrY21vQnZZs3tfg==

(count) group

f589 Location:

Variable Format: numeric

Notes: UNF:5:a60CDBVGEZLuxDUqscFiHQ==

hise

f589 Location:

Variable Format: numeric

Notes: UNF:5:yIBorj08hkjJ8m7RTc0frA==

lose

f589 Location:

Variable Format: numeric

Notes: UNF:5:SGiPlpaDdhyFB5o+y7Hi7A==

percdefaults

f589 Location:

Variable Format: numeric

Notes: UNF:5:LKk8qVNO/ceBv0wmXV5YeA==

Other Study-Related Materials

Label:

data.dta

Text:

main data file, stata 13 format

Notes:

application/x-stata

Other Study-Related Materials

Label:

data.xlsx

Text:

main data file exported from Stata to Excel

Notes:

application/octet-stream

Other Study-Related Materials

Label:

data_labeled.xlsx

Text:

main data file exported from Stata to Excel using variable and value labels

Notes:

application/octet-stream

Other Study-Related Materials

Label:

defaults.dta

Text:

contains data on default rates (percdefault), stata 13 format

Notes:

application/x-stata

Other Study-Related Materials

Label:

email_templates.pdf

Text:

Notes:

application/pdf

Other Study-Related Materials

Label:

experimental_screens.pdf

Text:

Notes:

application/pdf

Other Study-Related Materials

Label:

instructions.pdf

Text:

Notes:

application/pdf

Other Study-Related Materials

Label:

readme_Data.pdf

Text:

documentation

Notes:

application/pdf

Other Study-Related Materials

Label:

readme_Instructions, screens, recruitment.pdf

Text:

Notes:

application/pdf

Other Study-Related Materials

Label:

recruitment.pdf

Text:

Notes:

application/pdf