DDI_IND_2018_ILMSDPBM-IE_v01_M_WB Development Economics Data Group 2025-06-24T04:00:00.000Z MetadataEditor Version 01 (June 2025) Improving Last-Mile Service Delivery using Phone-Based Monitoring Impact Evaluation 2018 IND_2018_ILMSDPBM-IE_v01_M Jeffrey Weaver Karthik Muralidharan Paul Niehaus Sandip Sukhtankar MetadataEditor Strategic Impact Evaluation Fund Karthik Muralidharan Paul Niehaus Sandip Sukhtankar Jeffrey Weaver Strategic Impact Evaluation Fund Meyhar Mohammed LNU Administrative Records, Other (ad/oth] v01: Edited, anonymized datasets for public distribution State Capacity Service Delivery Mobile Phones India India Telangana, India Administrative records data [adm] World Bank Microdata Library Strategic Impact Evaluation Fund admindata This dataset contains variables from the land registry of all farmers in the state, the administrative dataset for Rythu Bandhu with check encashment outcomes, and some variables from the phone survey that are used in the primary analysis. The data set is at the plot level, as in the land registry. 5797429 23 balancetests1 This dataset contains the full set of variables from the land registry that are used for balance tests. 548 9 balancetests2 This dataset contains the full set of variables from the 2011 Census and other federal datasets that are used for balance tests. 548 13 balancetests3 This dataset contains the full set of variables from administrative records housed with the state government that are used for balance tests. 548 10 balancetests4 This dataset contains the full set of variables from administrative records housed with the state government that are used for balance tests. 548 13 costeffectiveness This dataset contains the daily total value of checks encashed in treatment and control mandals, and the total value of checks that are eligible for encashment in treatment and control mandals. 546 138 landsizevector This dataset contains the exact value of land size for each of the farmers in the dataset. 5733025 1 mcdata This dataset contains a limited set of variables, including adjusted encashment outcomes and village, mandal and district identifiers. 5733053 15 miscdata This dataset contains data at the mandal level, with a limited number of variables that are used to test for spillovers across mandals and whether the treatment affected other MAO activities. 564 16 phonedata This dataset contains the set of variables from the phone survey (apart from check receipt and encashment) that are used in the final analysis. 22565 7 Mandal ID 5797429 Treatment 5674986 0.0 1.0 1 MAO ID 5797428 1.0 992809.0 Strata ID 5684702 1.0 54.0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 Encashment dummy (adjusted for call date) 5797429 0.0 1.0 1 District ID 5797429 1.0 30.0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Farmer has a phone number (= 1) 5797400 0.0 1.0 1 Days taken to encash 4786815 2.0 150.0 Ever distributed 5797428 0.0 1.0 1 Ever encashed 5797428 0.0 1.0 1 Check receipt dummy from phone survey 22305 0.0 1.0 1 Check encashment dummy from phone survey 22254 0.0 1.0 1 Sampled for phone survey 5797429 0.0 1.0 1 Phone survey completed 5797429 0.0 1.0 1 Farmer unique tag 5797429 0.0 1.0 1 Quartiles of land size 5797400 1.0 4.0 1 2 3 4 Date of Encashment 4803630 Sampled for MAO survey 4348248 0.0 1.0 1 Completed MAO survey 4348248 0.0 1.0 1 Encashed on time 5797429 0.0 1.0 1 Days to encashment for report 5797428 0.0 139.0 Report dummy 5797429 0.0 1.0 1 Land size bins (2.5% each) 5797400 0.02500000037252903 1.0 Treatment 548 0.0 1.0 1 Farmers per MAO 548 8.0 22311.0 Land Size - 25th Percentile 548 0.0625 2.259999990463257 Median Land Size 548 0.1899999976158142 4.019999980926514 Land Size - 75th Percentile 548 1.0299999713897705 6.090000152587891 Land Ownership (acres) 548 0.8494561314582825 4.550474166870117 Registered Mobile Numbers 548 0.021373767405748367 1.0 MAO identifier 548 1.0 548.0 Strata identifier 548 1.0 362.0 1 2 3 4 5 6 7 8 9 10 12 13 14 15 16 21 25 27 30 31 33 34 36 41 44 45 47 54 55 62 67 69 70 73 75 77 82 90 91 95 98 120 128 157 166 187 211 213 221 229 238 240 247 275 362 Treatment 548 0.0 1.0 1 Mandal population 548 15.0 412500.0 Share of villages with paddy as main crop 548 0.0 1.0 Share of electrified villages 537 0.0 1.0 Average village distance from Hyderabad 548 10.964034080505371 284.6852722167969 Share of irrigated land 536 0.0 3.3174967765808105 Share of female population 548 0.4577842950820923 0.5340319275856018 Share of SC population 548 0.0 0.3753848969936371 Share of ST population 548 0.0 0.8956208825111389 Literacy rate in mandal 548 0.1818181872367859 0.8441596627235413 Share of working population 548 0.30604344606399536 0.6591941118240356 MAO identifier 548 1.0 548.0 Strata identifier 548 1.0 408.0 1 2 3 4 5 6 7 9 10 12 14 15 16 17 18 19 23 26 27 28 30 32 34 38 42 43 47 49 50 52 53 58 59 62 67 68 74 80 85 96 101 104 111 121 134 149 160 183 196 236 250 291 341 380 408 Treatment 1 Average rainfall in mandal 2013-17 (mm) 546 277.239990234375 1380.3199462890625 Average distance to nearest bank 548 0.0 20.0 Average distance to nearest ATM 548 0.0 20.0 Share of villages with all-weather road 537 0.0 1.0 Share of HHs using banking services 548 0.0 0.8160771131515503 Share of HHs owning mobile phones 548 0.0 0.7671767473220825 Number of banks in mandal 548 0.0 55.0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 23 32 41 46 55 MAO identifier 548 1.0 548.0 Strata identifier 548 1.0 448.0 1 2 3 4 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 25 26 27 28 29 32 35 40 41 45 46 50 52 53 54 56 70 72 80 88 90 99 108 110 115 122 127 138 140 154 174 200 223 362 368 448 Treatment 548 0.0 1.0 1 Age of MAO 495 24.0 58.0 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 58 Gender of MAO (Female = 1) 495 0.0 1.0 Number of SHC samples (2017) 524 0.0 4128.0 No. of farmers covered by SHCs (2017) 524 0.0 15584.0 SHC tests conducted (2017) 524 0.0 4094.0 SHCs available on portal (2017) 524 0.0 15325.0 Number of SHC samples (2016) 523 0.0 6400.0 No. of farmers covered by SHCs (2016) 524 0.0 22282.0 SHC tests conducted (2016) 524 0.0 4559.0 SHCs available on portal (2016) 524 0.0 18354.0 MAO identifier 548 1.0 548.0 Strata identifier 548 1.0 400.0 1 2 3 4 5 6 7 8 9 10 11 12 14 20 21 22 23 24 25 26 28 29 30 31 33 34 38 41 43 46 47 49 60 61 66 70 71 72 76 83 85 90 97 99 102 107 131 139 197 214 248 257 308 348 400 Treatment dummy 546 0.0 1.0 1 (sum) value_21314 546 0.0 20927560.029296875 (sum) value_21315 546 0.0 13284760.01171875 (sum) value_21316 546 0.0 434548.0 (sum) value_21317 546 0.0 744500.0009765625 (sum) value_21318 546 0.0 17782824.020507812 (sum) value_21319 546 0.0 19247601.612304688 (sum) value_21320 546 0.0 20603282.01123047 (sum) value_21321 546 0.0 43260630.416503906 (sum) value_21322 546 0.0 18324232.01953125 (sum) value_21323 546 0.0 17096164.028320312 (sum) value_21324 546 0.0 1521668.0024414062 (sum) value_21325 546 0.0 17495480.020507812 (sum) value_21326 546 0.0 15889080.016601562 (sum) value_21327 546 0.0 16656960.016601562 (sum) value_21328 546 0.0 15193381.991210938 (sum) value_21329 546 0.0 13484640.01171875 (sum) value_21330 546 0.0 1590409.6030273438 (sum) value_21331 546 0.0 1235459.2021484375 (sum) value_21332 546 0.0 12573527.913085938 (sum) value_21333 546 0.0 11193880.004882812 (sum) value_21334 546 0.0 6142270.0048828125 (sum) value_21335 546 0.0 6407809.601074219 (sum) value_21336 546 0.0 12246639.997070312 (sum) value_21337 546 0.0 9111040.008789062 (sum) value_21338 546 0.0 125880.0 (sum) value_21339 546 0.0 11286880.008789062 (sum) value_21340 546 0.0 14991704.004882812 (sum) value_21341 546 0.0 7878400.0048828125 (sum) value_21342 546 0.0 6958640.0068359375 (sum) value_21343 546 0.0 6364984.022705078 (sum) value_21344 546 0.0 40200.0 (sum) value_21345 546 0.0 314310.0 200 320 560 800 1040 1200 1520 4240 4360 4600 4840 5280 6640 8000 8080 8720 8800 9000 9400 12000 12400 12500 12600 13080 14400 16000 16330 16520 17160 17520 20040 20140 20160 20280 20480 20530 24640 28360 28840 33480 33640 34300 48280 53520 143720 186720 216440 314310 (sum) value_21346 546 0.0 10426304.014648438 (sum) value_21347 546 0.0 4854320.0078125 (sum) value_21348 546 0.0 4523271.999267578 (sum) value_21349 546 0.0 4189140.0095214844 (sum) value_21350 546 0.0 4193822.0034179688 (sum) value_21351 546 0.0 13320.0 13320 (sum) value_21352 546 0.0 140390.0 (sum) value_21353 546 0.0 3189523.998046875 (sum) value_21354 546 0.0 4075980.005859375 (sum) value_21355 546 0.0 3798720.0 (sum) value_21356 546 0.0 2645130.0014648438 (sum) value_21357 546 0.0 3298680.001953125 (sum) value_21358 546 0.0 110640.0 (sum) value_21359 546 0.0 98560.0 (sum) value_21360 546 0.0 3112342.0036621094 (sum) value_21361 546 0.0 3830100.0009765625 (sum) value_21362 546 0.0 2509660.0009765625 (sum) value_21363 546 0.0 1976739.9931640625 (sum) value_21364 546 0.0 2398660.0 (sum) value_21365 546 0.0 1373959.9970703125 (sum) value_21366 546 0.0 453620.0 620 800 1200 1560 4000 5270 5440 8560 8600 9280 11480 21480 453620 (sum) value_21367 546 0.0 2559560.0009765625 (sum) value_21368 546 0.0 1888360.0947265625 (sum) value_21369 546 0.0 5281615.199951172 (sum) value_21370 546 0.0 1637399.974609375 (sum) value_21371 546 0.0 1269000.0 (sum) value_21372 546 0.0 1397280.0 (sum) value_21373 546 0.0 40760.0 560 1200 2280 2400 4000 4720 5040 8480 8880 12120 16960 17200 21480 28000 28920 29440 40760 (sum) value_21374 546 0.0 1224960.0 (sum) value_21375 546 0.0 2946680.0 (sum) value_21376 546 0.0 2061080.0078125 (sum) value_21377 546 0.0 2539969.9775390625 (sum) value_21378 546 0.0 2378060.001953125 (sum) value_21379 546 0.0 84700.0 320 840 1520 5840 13040 22040 29320 84700 (sum) value_21380 546 0.0 37680.0 680 800 8000 8280 9200 9440 9560 16940 21240 32800 37680 (sum) value_21381 546 0.0 2089670.0043945312 (sum) value_21382 546 0.0 1866799.9990234375 (sum) value_21383 546 0.0 2249484.0 (sum) value_21384 546 0.0 1464894.0034179688 (sum) value_21385 546 0.0 1117590.0 (sum) value_21386 546 0.0 847080.0 (sum) value_21387 546 0.0 4000.0 740 1000 1200 1440 4000 (sum) value_21388 546 0.0 1475320.0 (sum) value_21389 546 0.0 3430760.0 (sum) value_21390 546 0.0 1747822.00390625 (sum) value_21391 546 0.0 1196490.0004882812 (sum) value_21392 546 0.0 1282800.0024414062 (sum) value_21393 546 0.0 12720.0 1280 2640 12720 (sum) value_21394 546 0.0 25560.0 (sum) value_21395 546 0.0 2509830.0 (sum) value_21396 546 0.0 1949090.00390625 (sum) value_21397 546 0.0 576500.0 (sum) value_21398 546 0.0 370480.0009765625 (sum) value_21399 546 0.0 2511260.0 (sum) value_21400 546 0.0 415680.0 (sum) value_21401 546 0.0 940.0 940 (sum) value_21402 546 0.0 3273680.0 (sum) value_21403 546 0.0 901200.0 (sum) value_21404 546 0.0 714512.0 (sum) value_21405 546 0.0 807120.0 (sum) value_21406 546 0.0 327820.0 (sum) value_21407 546 0.0 20400.0 20400 (sum) value_21408 546 0.0 4680.0 4680 (sum) value_21409 546 0.0 970330.0009765625 (sum) value_21410 546 0.0 529920.0 (sum) value_21412 546 0.0 203600.001953125 (sum) value_21413 546 0.0 105160.0 (sum) value_21414 546 0.0 241040.0009765625 (sum) value_21415 546 0.0 4240.0 4240 (sum) value_21416 546 0.0 671200.0 (sum) value_21417 546 0.0 397080.0009765625 (sum) value_21419 546 0.0 450160.0 (sum) value_21420 546 0.0 676080.0 (sum) value_21421 546 0.0 400.0 400 (sum) value_21423 546 0.0 757710.0 (sum) value_21424 546 0.0 1010285.201171875 (sum) value_21425 546 0.0 805880.0 (sum) value_21426 546 0.0 1945580.0 (sum) value_21427 546 0.0 810664.0 (sum) value_21428 546 0.0 2415280.0 (sum) value_21430 546 0.0 24560.0 160 720 1120 1360 4000 4800 8000 8440 8800 9440 9480 12360 16320 16600 18400 20000 24560 (sum) value_21431 546 0.0 857120.0 (sum) value_21432 546 0.0 832320.0009765625 (sum) value_21433 546 0.0 1062770.0009765625 (sum) value_21434 546 0.0 1524290.0095214844 (sum) value_21435 546 0.0 8080.0 4100 4800 5480 8080 (sum) value_21436 546 0.0 950.0 950 (sum) value_21437 546 0.0 553720.40234375 (sum) value_21438 546 0.0 1488280.0009765625 (sum) value_21439 546 0.0 828388.0083007812 (sum) value_21440 546 0.0 64320.0 (sum) value_21441 546 0.0 1131960.0009765625 (sum) value_21442 546 0.0 329440.0 (sum) value_21443 546 0.0 4800.0 4000 4800 (sum) value_21444 546 0.0 1375760.0 (sum) value_21445 546 0.0 663040.0 (sum) value_21446 546 0.0 325200.0 (sum) value_21447 546 0.0 661680.0 (sum) value_21448 546 0.0 47000.0 500 920 1200 1520 4000 4360 4970 5360 8000 8480 8920 12120 12600 47000 (sum) value_21449 546 0.0 50840.0 420 50840 (sum) value_21451 546 0.0 242520.0 (sum) value_21452 546 0.0 116300.0 150 240 360 480 512 540 880 920 960 1120 1280 1520 2550 2680 4680 4920 5080 5140 5980 8640 12720 13920 16320 24160 25200 37740 42450 44440 47920 69280 116300 (sum) value_21453 546 0.0 5143540.008300781 (sum) value_21454 546 5280.0 62915589.21787262 Total land size owned by farmers in the treatment and control mandals 546 3160484.25 10421131.0 Farmer land size (in acres) Received at Gram Sabha 19890 0.0 1.0 1 Asked to Pay Bribe 19830 0.0 1.0 1 Treatment 22565 0.0 1.0 1 Satisfied with Scheme 22329 0.0 1.0 1 MAO ID 22565 1.0 992809.0 Strata ID 22527 1.0 54.0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 Inverse sampling probability 22565 1.0 166.6666717529297 Strata ID 564 1.0 55.0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 MAO ID 564 1.0 515.0 District ID 564 1.0 30.0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Treatment 548 0.0 1.0 1 Number of SHC samples 514 0.0 3528.0 No. of farmers covered by SHCs 514 0.0 12985.0 SHC tests conducted 514 0.0 2697.0 SHCs available on portal 514 0.0 12735.0 Dummy for check encashment, based on administrative bank records of check encashment 563 0.0 0.9861330389976501 Dummy variable for whether the MAO reported distributing the check, based on MAO database 563 0.0 1.0 Number of treatment mandals in the revenue division 531 0.0 4.0 1 2 3 4 Number of mandals in the revenue division 531 1.0 17.0 1 2 3 4 5 6 7 8 10 11 17 Code for the revenue division 531 1.0 107.0 Generated ID variable 564 0.00028227921575307846 0.9992638826370239 Generated ID variable 564 Mandal identifier 564 Generated ID variable 5733053 Mandal ID 5733053 Generated ID variable 5733053 Village ID 5733053 Farmer ID 5733053 MAO ID 5733053 1.0 992809.0 District ID 5733053 1.0 30.0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Generated ID variable 5733053 Farmer population in treatment mandals 1312199 1.0 4069.0 Number of villages in treatment mandals 1312199 1.0 70.0 1 2 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 38 59 70 Treatment 5612104 0.0 1.0 1 Strata ID 5621909 1.0 54.0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 Encashment dummy (adjusted for call date) 5733053 0.0 1.0 1 Village level land size quintiles 1312199 1.0 5.0 1 2 3 4 5 Mandal level land size quintiles 4299877 1.0 5.0 1 2 3 4 5