Balsakhi hdl:1902.1/QIABTVDYCJ Dataverse Network 2007-04-05 Balsakhi hdl:1902.1/QIABTVDYCJ Abhijit Banerjee Shawn Cole Esther Duflo Leigh Linden Abhijit Banerjee Shawn Cole Esther Duflo Leigh Linden 2005 Cambridge, MA stata McArthur Foundation; ICICI Bank; NBER Non-Profit Grant Murray Research Archive Shawn Cole Shawn Cole 2006 2006 no series Education remedial education computer aided learning The MacArthur Network on Inequality JPAL The purpose of the data collection was to evaluate two programs implemented by Pratham, an Indian NGO. The first program, remedial education, was implemented from 2001-2003 in Vadodara and Mumbai. The second program, a computer-aided learning program, was implemented in Vadodara only from 2001-2004. Data included in this study are results from pre-, mid- and post-tests of language and math skills. The tests were designed and conducted by Pratham, in public schools in the two cities. The goal of the study was to measure the impact of programs on child educational achievement, as measured by test scores. Data on attendance was also collected, from both the attendance rosters, and by random checks from Pratham investigators. Within a dataset, a child is uniquely identified by studentid. Schoolid is a numeric variable indicating which school the child attends; standard indicates which grade the child in. Div is a classroom id within a standard. Divid is a unique identifier for each grade in a school. Test scores are reported in terms of normalized standard deviations: the mean test score of the control group in the pretest was subtracted from all schools, and all test scores were divided by the standard deviation of the control group. 2001-2004 India Data from Mumbai and Vadodara Cities individual Universe was children in Mumbai and Vadodara public schools, who were in the second, third, and fourth standard (grade) over the period 2001-2004. Academic Test Score data Annual Pratham Structured none To minimize attrition, the testing team returned to the schools multiple times. If a student still could not be found, test-takers tracked the children down at home and administered the exam at home. Double-entry of all test scores No non-response (but see note on attrition) Data for entire population collected Banerjee, Cole, Duflo and Linden (2005): Remedying Education: Evidence from Two Randomized Experiments in India balassignmentD.tab Combined data (Mumbai and Vadodara), Tab delimited data 43 60 text/tab-separated-values UNF:3:VyM+EGvI19W2IEzkBSTJ7Q== 2a. Data (in STATA and Tab Delimited Formats): Combined bombay2years.tab Two years of balsakhi program in Mumbai, Tab delimited data 42966 61 text/tab-separated-values UNF:3:911ux6kYatvWPzMnLC/DPQ== 2b. Data (in STATA and Tab Delimited Formats): Mumbai finalbombayyr1_1obs.tab First year of balsakhi program in Mumbai, Tab delimited data 4774 41 text/tab-separated-values UNF:3:vkdJqWo9ORWtZPLzGP9u0A== 2b. Data (in STATA and Tab Delimited Formats): Mumbai bombay_0203att.tab Attendance in second year of balsakhi program in Mumbai, Tab delimited data 10745 62 text/tab-separated-values UNF:3:pzKXcqog19VzFOZo4/5Jiw== 2b. Data (in STATA and Tab Delimited Formats): Mumbai finalbombayyr2_1obs.tab Second year of balsakhi program in Mumbai, Tab delimited data 10745 48 text/tab-separated-values UNF:3:vprVRoauhyjsDarLOKT8Kw== 2b. Data (in STATA and Tab Delimited Formats): Mumbai bombay_0102att.tab Attendance in first year of balsakhi program in Mumbai, Tab delimited data 4774 54 text/tab-separated-values UNF:3:ock0AybP2FO1T5Y5k2s3iA== 2b. Data (in STATA and Tab Delimited Formats): Mumbai baroda_att_0203.tab Attendance in second year of balsakhi program in Vadodara, Tab delimited data 5 3 text/tab-separated-values UNF:3:M24OIQ+3AhkZWekVMUKqjg== 2c. Data (in STATA and Tab Delimited Formats): Vadodara baroda_0304_1obs.tab 2003 and 2004 obseravtions in Vadodara, Tab delimited data 5 3 text/tab-separated-values UNF:3:Ijo5J7QWDd90y9Mx7Q/YQQ== 2c. Data (in STATA and Tab Delimited Formats): Vadodara baroda_0203_1obs.tab Second year of balsakhi program in Vadodara, Tab delimited data 5 3 text/tab-separated-values UNF:3:CVh4ovSVj0ZOSbSU4NGwVw== 2c. Data (in STATA and Tab Delimited Formats): Vadodara baroda_att_0102.tab Attendance in first year of balsakhi program in Vadodara, Tab delimited data 5 3 text/tab-separated-values UNF:3:obe7CniRyjOGHdN/eqQrdA== 2c. Data (in STATA and Tab Delimited Formats): Vadodara baroda_0203oral_frmt.tab Second year oral pre-test in Vadodara, Tab delimited data 5 3 text/tab-separated-values UNF:3:RNj4ofIh55JwnbIi0jesYQ== 2c. Data (in STATA and Tab Delimited Formats): Vadodara baroda_oneyearout_1obs.tab Second year pre-test in Vadodara, Tab delimited data 5 3 text/tab-separated-values UNF:3:n6wkEZe3HlOlifT54wPiYA== 2c. Data (in STATA and Tab Delimited Formats): Vadodara baroda_0102_1obs.tab First year of balsakhi program in Vadodara, tab delimited format 10198 76 text/tab-separated-values UNF:3:klymItm0yKLgSYabJ/huXQ== 2c. Data (in STATA and Tab Delimited Formats): Vadodara baroda_oneyearout_1obs_cal.tab Second pre-test of CAL program in Vadodara, Tab delimited data 5945 79 text/tab-separated-values UNF:3:BKamrHZCCqMWUNPwDMLOLQ== 2d. Data (in STATA and Tab Delimited Formats): Vadodara CAL Program baroda_0304_1obs_cal.tab Third year of CAL program in Vadodara, Tab delmited data 12381 55 text/tab-separated-values UNF:3:1Ofx4IZJw6anqznx1z2ZJA== 2d. Data (in STATA and Tab Delimited Formats): Vadodara CAL Program baroda_att_0304_cal.tab Attendance in second year of CAL program in Vadodara, tab delimited data 12113 29 text/tab-separated-values UNF:3:C21BKCC37dNJxSJ7lpXgKg== 2d. Data (in STATA and Tab Delimited Formats): Vadodara CAL Program baroda_att_0203_cal.tab Attendance in first year of CAL program in Vadodara, Tab delimited data 11465 30 text/tab-separated-values UNF:3:tbQCAeet5TUUDGRtQK4Rcg== 2d. Data (in STATA and Tab Delimited Formats): Vadodara CAL Program baroda_0203_1obs_cal.tab Second year CAL program in Vadodara, Tab delimited data 11528 56 text/tab-separated-values UNF:3:l77gp/GAFVRHPT8jazyn1w== 2d. Data (in STATA and Tab Delimited Formats): Vadodara CAL Program 0 43 Invalid Ranges 1 Min 2 Variable Name 1 Deriv. Des. 1 Imputed? 1 Format Type 1 Key 2 Stdev. 1 Max 2 Description 1 Decimal 1 Classification 1 Unit of Analysis 1 Mean 1 Ques. ID 1 Interval 1 Question Information 1 Group 1 Derivation 1 Universe 1 Unit 2 Group Type 1 Ques. Text 1 Stdev. Weighted? 1 Sub-Group 1 Notes 3 Weight 1 Weight Variable 1 Undoc Codes 1 Valid Ranges 1 Weight of Stdev. 1 Dataset Label 1 Weight of Mean 1 Mean weighted? 1 Sum Statistics 1 Text 1 Total Responses 1 UNF:3:FqWqBAhdMD/geuEgb1yT+A== 31 12 . 31 0 1 pre_verb 1 13.69905 1 points 1 49 1 23160 1 student 1 discrete 1 float 1 9.503293 1 Absolute verbal score on pre-test 1 Test Scores 1 UNF:3:5LYBtDLewTM17fYuceoK6w== 31 12 points 1 . 31 20.95075 1 21941 1 10.45619 1 Absolute verbal score on post-test 1 post_verb 1 50 1 float 1 student 1 Test Scores 1 0 1 discrete 1 UNF:3:6Wsa5iRErBN4xqGQJF9yNg== 12 31 50 1 student 1 Test Scores 1 points 1 9.538208 1 10.66965 1 23160 1 0 1 discrete 1 pre_math 1 float 1 Absolute math score on pre-test 1 . 31 UNF:3:Wp7C3ErNVtW1ac+SpSfCtA== 31 12 50 1 post_math 1 20.73443 1 points 1 . 31 student 1 float 1 Absolute math score on post-test 1 12.14224 1 discrete 1 Test Scores 1 0 1 21943 1 UNF:3:CVHYJMBfl7BMldC9yqeKAw== 12 31 . 31 male 1 0.4894214 1 byte 1 Demographics 1 0=female, 1=male 1 Male 1 0.4998989 1 student 1 1 1 23160 1 discrete 1 0 1 UNF:3:o1o6YCfCJgLHjXMqwPxg/A== 12 31 Attrition from pre to post 1 23160 1 0.2237383 1 student 1 attrit 1 discrete 1 1=yes, 0=no 1 byte 1 0.0528497 1 . 31 Attrition 1 0 1 1 1 UNF:3:LgTckbIJo9XK9ErZJIQysw== 13 30 23160 1 1 1 Dummy for balsakhi treatment 1 discrete 1 1=yes, 0=no 1 0.5000009 1 . 30 0 1 byte 1 school-grade 1 Randomization 1 bal 1 integers 1 0.503152 1 UNF:3:t3L8N7IIg+HZuii6mPIRZA== 31 12 4 1 discrete 1 School/Div characteristics 1 int 1 150 1 23.57465 1 number of students 1 Number of students in school-grade in Vadodara, division in Mumbai 1 51.64914 1 . 31 numstud 1 23160 1 school-grade 1 UNF:3:cacZHNPqQvRss0glQa34zQ== 12 31 1 1 . 31 26.32457 1 rank 1 150 1 Ranking 1 Rank by pre-tot in school-grade in Vadodara, division in Mumbai 1 integers 1 continuous 1 float 1 23160 1 20.17359 1 student 1 UNF:3:HiE0QqaGXCly9quijvQL+g== 30 13 School/Div characteristics 1 School-grade (division in Mumbai) with more than 40 students 1 23160 1 bigschool 1 1 1 . 30 byte 1 discrete 1 1=yes, 0=no 1 0.6324266 1 school-grade 1 0.4821548 1 0 1 integers 1 UNF:3:iPDrSWWMgXzkX1s6nMOIoQ== 11 32 93776.11 1 student 1 307526 1 studentid 1 Student ID 1 1 1 . 32 float 1 Identification 1 75556.29 1 discrete 1 23160 1 UNF:3:tve+EsiXFf7iWrkJ6DNDWA== 12 31 4.381209 1 1.001329 1 student 1 standard deviations 1 23160 1 Test Scores 1 . 31 Normalized total score on pre-test 1 -1.821681 1 0.0221857 1 continuous 1 float 1 pre_tot 1 UNF:3:myugmp7Ptu981gunyfkzmw== 12 31 1.23272 1 -1.821681 1 post_tot 1 float 1 Normalized total score on post-test 1 21936 1 4.806032 1 . 31 continuous 1 standard deviations 1 1.09056 1 student 1 Test Scores 1 UNF:3:/XWuP5324mcdTdvDFG9njA== 31 12 Absolute verbal score on mid-test 1 byte 1 50 1 Test Scores 1 0 1 11.72686 1 student 1 11374 1 23.75541 1 discrete 1 points 1 mid_verb 1 . 31 UNF:3:QEpMifR+7DGgdxP2Ej6XPA== 12 31 points 1 Test Scores 1 11374 1 Absolute math score on mid-test 1 0 1 byte 1 21.64946 1 discrete 1 12.80125 1 student 1 . 31 mid_math 1 50 1 UNF:3:5+GFPT22wIg9XnkUS9TK/Q== 13 30 1 1 discrete 1 Randomization 1 0.2484897 1 cal 1 12415 1 Dummy for cal treatment 1 1=yes, 0=no 1 0 1 . 30 integers 1 school-grade 1 byte 1 0.4321546 1 UNF:3:BTWz55ClFzAIeSkQHj7GeA== 30 13 1=yes, 0=no 1 0.3304695 1 0.1247684 1 both 1 byte 1 bal * cal 1 school-grade 1 Randomization 1 discrete 1 1 1 . 30 12415 1 integers 1 0 1 UNF:3:fTl+itGrzKrDr6hCJf9c3Q== 12 31 -1.542984 1 1.252023 1 float 1 mid_tot 1 . 31 Normalized total score on mid-test 1 student 1 standard deviations 1 4.684654 1 continuous 1 11374 1 1.103322 1 Test Scores 1 UNF:3:vZRVdn/9h3HALkBRxqSu+g== 13 30 1 1 school-grade 1 discrete 1 balt 1 0 1 0.4934128 1 byte 1 23160 1 Randomization 1 . 30 1=yes, 0=no 1 integers 1 0.4190415 1 School-grades in Vadodara, divisions in Mumbai that actually send children to a balsakhi 1 UNF:3:PcEp7phGgWWpmZK69Lq2eA== 12 31 vad 1 1.057575 1 -4.369598 1 1.054302 1 integers 1 21936 1 discrete 1 Value added from pre-test to post-test 1 student 1 float 1 . 31 5.88682 1 Test Scores 1 UNF:3:lKaxYfX6AULNm/bdH1X0Aw== 31 12 11374 1 5.644064 1 integers 1 1.104487 1 vadmid 1 discrete 1 float 1 1.067475 1 . 31 Test Scores 1 Value added from pre-test to mid-test 1 -3.944776 1 student 1 UNF:3:E0vXkWFyMfUW7mEWTrdU2A== 7 36 Identification 1 . 36 0 1 text 1 div 1 school-grade 1 str1 1 Division code 1 UNF:3:iRB7/UxFl16ySH949TNAZg== 31 12 vadpostmid 1 5.765442 1 discrete 1 . 31 student 1 -5.644064 1 integers 1 float 1 1.148226 1 11170 1 0.102144 1 Value added from mid-test to post-test 1 Test Scores 1 UNF:3:gCQ5c9hO6RUdseKYlhMcvg== 30 13 student 1 byte 1 integers 1 0 1 rank20 1 1 if rank <= 20 1 0.4981354 1 1 1 1=yes, 0=no 1 0.4567358 1 23160 1 Ranking 1 discrete 1 . 30 UNF:3:GUqmnarUvu/g5wzihbBC6g== 31 12 discrete 1 float 1 school-grade 1 0.4224809 1 bot_pre_tot 1 1.071332 1 School/Div characteristics 1 23160 1 Average pre-test score among bottom 20 in school-grade (Vadodara) or division (Mumbai) 1 -1.469762 1 -0.7288716 1 standard deviations 1 . 31 UNF:3:QuwNrfboDSlLqwgPcLRAgA== 31 12 discrete 1 standard deviations 1 float 1 School/Div characteristics 1 -1.38276 1 school-grade 1 bal * bot_pre_tot 1 23160 1 1.012496 1 0.4652697 1 . 31 bal_bot_pre_tot 1 -0.3589365 1 UNF:3:sOrFVPsz7LQXYePM5WxaMQ== 12 31 discrete 1 standard deviations 1 school-grade 1 balsakhi * bot_pre_tot 1 -0.0957917 1 . 31 1.012496 1 23160 1 School/Div characteristics 1 balsakhi_bot_~t 1 -1.38276 1 0.2831268 1 float 1 UNF:3:pfcCpEKiAAhP67Q6qEnWOw== 12 31 standard deviations 1 0.4477025 1 School/Div characteristics 1 -0.3106229 1 balt * bot_pre_tot 1 -1.38276 1 float 1 . 31 1.012496 1 school-grade 1 balt_bot_pre_~t 1 discrete 1 23160 1 UNF:3:24pFohGEcYNEMrHA0BmA2A== 31 12 Ranking 1 23160 1 . 31 1.071332 1 student 1 0.4399872 1 float 1 -0.285796 1 -1.469762 1 rank20 * bot_pre_tot 1 integers 1 rank20_bot_pr~t 1 discrete 1 UNF:3:pnSouKtC0tFrcGR0jyLtfQ== 31 12 Ranking 1 float 1 bal * rank 1 . 31 discrete 1 0 1 bal_rank 1 23160 1 13.32003 1 19.54878 1 143 1 student 1 integers 1 UNF:3:7yMG5tcElI14olHFq+YtwQ== 30 13 0.2303972 1 0 1 integers 1 discrete 1 . 30 1=yes, 0=no 1 Ranking 1 23160 1 bal_rank20 1 byte 1 student 1 bal * rank20 1 1 1 0.4210962 1 UNF:3:SAsCW1I2OHVjGThkZg09HQ== 31 12 integers 1 143 1 0 1 30.93311 1 bal * numstud 1 bal_numstud 1 discrete 1 int 1 school-grade 1 School/Div characteristics 1 26.13692 1 23160 1 . 31 UNF:3:wj0mPZ6X8TtdvBnUSedECw== 32 11 Grade 1 std 1 4 1 byte 1 23160 1 0.5000052 1 . 32 3 1 discrete 1 school-grade 1 3.502375 1 Identification 1 UNF:3:CVIl5RPmStlgKz39tuiy3Q== 12 31 bal * pre_tot 1 School/Div characteristics 1 -1.821681 1 float 1 0.0221857 1 . 31 school-grade 1 0.7113108 1 4.381209 1 standard deviations 1 23160 1 bal_pre_tot 1 discrete 1 UNF:3:I6TQvGOuwLK0e40AUP8mnw== 12 31 balt * rank 1 143 1 19.46003 1 discrete 1 . 31 integers 1 0 1 Ranking 1 float 1 23160 1 balt_rank 1 student 1 11.73048 1 UNF:3:Bgh5p4/R3DIsqrefTLZ58w== 12 31 143 1 23160 1 23.04193 1 balt * numstud 1 int 1 31.36631 1 School/Div characteristics 1 discrete 1 . 31 0 1 school-grade 1 balt_numstud 1 integers 1 UNF:3:kk4H7E36L0VxtDtKmaMl+w== 12 31 discrete 1 0.6477868 1 0.019107 1 standard deviations 1 4.381209 1 balt * pre_tot 1 . 31 23160 1 balt_pre_tot 1 School/Div characteristics 1 float 1 -1.821681 1 school-grade 1 UNF:3:dJxNzC3HhbMjpSJn3X561g== 30 13 0 1 1=yes, 0=no 1 0.316019 1 23160 1 bal * bigschool 1 School/Div characteristics 1 byte 1 0.4649305 1 discrete 1 integers 1 school-grade 1 . 30 bal_bigschool 1 1 1 UNF:3:VviSH4FXAg5sgvCfSBeLPA== 30 13 balt * bigschool 1 23160 1 integers 1 0.4525152 1 school-grade 1 discrete 1 0 1 School/Div characteristics 1 0.2873057 1 1=yes, 0=no 1 1 1 balt_bigschool 1 byte 1 . 30 UNF:3:EZiKliMF0jgGvAG9Xh82Hw== 30 13 . 30 balsakhi * bigschool 1 0 1 1=yes, 0=no 1 student 1 Ranking 1 0.0816062