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    Home / Central Data Catalog / MWI_2009-2010_TPCS_V01_M
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Time Preference & Cognition Survey 2009 - 2010

Malawi, 2009 - 2010
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Reference ID
MWI_2009-2010_TPCS_v01_M
DOI
https://doi.org/10.48529/46t2-3c91
Producer(s)
Xavier Giné, Jessica Goldberg, Dan Silverman, Dean Yang
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 21, 2018
Last modified
Jun 21, 2018
Page views
36832
Downloads
2048
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • GGSY_data
  • GGSY_data_long
  • sim_data

Data file: GGSY_data

GGSY_data.dta: This file contains data from an artefactual field experiment in Malawi that measures time preferences and revision behavior. The sample consists of several hundred wife-husband pairs in rural Malawi. Intertemporal choices are elicited by adapting Andreoni and Sprenger's (2012) convex time budget method, with large real stakes (roughly a month's wages). Subjects decide five potential allocations of money to be disbursed at two points, 61 or 91 days, in the future for the corresponding interest rates: 10%, 25%, 50%, 75%, and 100%. A subset of these subjects was revisited some time prior to the first disbursement at t=61 days and given the opportunity to revise their allocation between sooner or later. Dataset contains N=10,710 decisions (i.e., five allocations and associated interest rate for 2,142 subjects in the study).

Cases: 2157
Variables: 398

Variables

indicator_sb_near_2_10
indicator: sb near2, 0.10
indicator_sb_near_2_25
indicator: sb near2, 0.25
indicator_sb_near_2_50
indicator: sb near2, 0.50
indicator_sb_near_2_75
indicator: sb near2, 0.75
indicator_sb_near_2_100
indicator: sb near2, 1.0
indicator_sb_far_2_10
indicator: sb far2, 0.10
indicator_sb_far_2_25
indicator: sb far2, 0.25
indicator_sb_far_2_50
indicator: sb far2, 0.50
indicator_sb_far_2_75
indicator: sb far2, 0.75
indicator_sb_far_2_100
indicator: sb far2, 1.0
fracsb_near
frac sb near
fracsb_far
frac sb far
fracsb
frac sb
fracsb_far_nonimp
frac sb far, non-imp
fracsb_nonimp
frac sb, non-imp
fracsb_near_2
frac sb near2
fracsb_far_2
frac sb, far2
fracsb_2
frac sb 2
fracsb_far_2_nonimp
frac sb far2, non-imp
fracsb_2_nonimp
frac sb 2, non-imp
attrit1
attrition 1
attrit2
attrition 2
Iz13_month_2
z13_month==2
Iz13_month_3
z13_month==3
target_lag_2
2 target lag
target_lag_3
3 target lag
target_lag_4
4 target lag
target_lag_5
5 target lag
target_lag_6
6 target lag
target_lag_7
7 target lag
target_lag_8
8 target lag
target_lag_9
9 target lag
target_lag_10
10 target lag
target_lag_11
11 target lag
target_lag_12
12 target lag
target_lag_13
13 target lag
target_lag_14
14 target lag
target_lag_15
15 target lag
target_lag_16
16 target lag
c_n_soon10
Near:MK tommorrow, for r=0.10
c_n_soon25
Near:MK tommorrow, for r=0.25
c_n_soon50
Near:MK tommorrow, for r=0.50
c_n_soon75
Near:MK tommorrow, for r=0.75
c_n_soon100
Near:MK tommorrow, for r=1.00
c_n_late10
Near:MK in a Month, for r=0.10
c_n_late25
Near:MK in a Month, for r=0.25
c_n_late50
Near:MK in a Month, for r=0.50
c_n_late75
Near:MK in a Month, for r=0.75
c_n_late100
Near:MK in a Month, for r=1.00
dcn_25_10
Near: change in later consumption for change in r, 0.1 to 0.25
dcn_25_10pos
dcn_25_10pos
siznegn_25_10
siznegn_25_10
dcn_50_25
Near: change in later consumption for change in r, 0.25 to 0.50
dcn_50_25pos
dcn_50_25pos
siznegn_50_25
siznegn_50_25
dcn_75_50
Near: change in later consumption for change in r, 0.50 to 0.75
dcn_75_50pos
dcn_75_50pos
siznegn_75_50
siznegn_75_50
dcn_100_75
Near: change in later consumption for change in r, 0.75 to 1.00
dcn_100_75pos
dcn_100_75pos
siznegn_100_75
siznegn_100_75
num_pos_dcns
Near: # (of 4) positive changes in later consumption with increase in r
avesiznegn
avesiznegn
c_f_soon10
Far:MK in two months, for r=0.10
c_f_soon25
Far:MK in two months, for r=0.25
c_f_soon50
Far:MK in two months, for r=0.50
c_f_soon75
Far:MK in two months, for r=0.75
c_f_soon100
Far:MK in two months, for r=1.00
c_f_late10
Far:MK in three months, for r=0.10
c_f_late25
Far:MK in three months, for r=0.25
c_f_late50
Far:MK in three months, for r=0.50
c_f_late75
Far:MK in three months, for r=0.75
c_f_late100
Far:MK in three months, for r=1.00
dcf_25_10
Far: change in later consumption for change in r, 0.1 to 0.25
dcf_25_10pos
dcf_25_10pos
dcf_50_25
Far: change in later consumption for change in r, 0.25 to 0.50
dcf_50_25pos
dcf_50_25pos
dcf_75_50
Far: change in later consumption for change in r, 0.50 to 0.75
dcf_75_50pos
dcf_75_50pos
dcf_100_75
Far: change in later consumption for change in r, 0.75 to 1.00
dcf_100_75pos
dcf_100_75pos
num_pos_dcfs
Far: # (of 4) positive changes in later consumption with increase in r
tot_num_posdcs
# (of 8) positive changes in later consumption with increase in r
frac_posdcs
Fraction of decisions consistent with law of demand
num_sooner
number sooner
frac_sooner
Fraction of tokens allocated to
elas_n_10_25
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elas_n_25_50
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elas_n_50_75
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elas_n_75_100
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elas_n_average
average of elasticity for tomorrow
elas_f_10_25
elasticity of consumption period 2 share with interest rate, in two months at r
elas_f_25_50
elasticity of consumption period 2 share with interest rate, in two months at r
elas_f_50_75
elasticity of consumption period 2 share with interest rate, in two months at r
elas_f_75_100
elasticity of consumption period 2 share with interest rate, in two months at r
elas_f_average
average of elasticity in two months
elas_diff_average
elas_f_average - elas_n_average
merge
merge var
Total: 398
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