Daniel L. Millimet and Rusty Tchernis, "Estimation of Treatment Effects without an Exclusion Restriction: with an Application to the Analysis of the School Breakfast Program", Journal of Applied Econometrics, Vol. 28, No. 6, 2013, pp. 982-1017. The file MT-appendices.pdf contains Appendices A through E. The data are provided in three different files: MillimetTchernisSBPdictionary.dct is a Stata dictionary file MillimetTchernis.txt is a txt file with observations spanning multiple lines MillimetTchernisWide.txt is a txt file with one observation per line Each of these is zipped in a different zip file. The files are called MT-SBPdictionary.zip, MT-data.zip, and MT-wide-data.zip. Both text files are in DOS format, so Unix/Linux users should use "unzip -a" with MT-data.zip and MT-wide-data.zip. The data are in "long form" with observations from either grade 3 or grade 5. Variables and Summary Statistics: Contains data from MillimetTchernisSBP.dta obs: 17,828 vars: 67 2 Apr 2012 14:23 size: 3,458,632 ----------------------------------------------------------------------------- storage display value variable name type format label variable label ----------------------------------------------------------------------------- grade byte %9.0g break1 float %9.0g 1 = breakfast break2 float %9.0g 1 = breakfast, persistent defn lunch1 float %9.0g 1 = lunch lunch2 float %9.0g 1 = lunch, persistent defn clbmi float %9.0g change in log bmi under float %9.0g 1 = underweight over float %9.0g 1 = overweight obese float %9.0g 1 = obese gender byte %12.0g R20001F Child, 1 = Male age float %9.0g Child, Age (Mos), Cleaned age2 float %9.0g white byte %9.0g Child, 1 = White black byte %9.0g Child, 1 = Black hispanic byte %9.0g Child, 1 = Hispanic city byte %9.0g Child, 1 = Midsize/Large City suburb byte %9.0g Child, 1 = Midsize/Large Suburb or Large Town neast byte %9.0g Child, 1 = Live in Northeast mwest byte %9.0g Child, 1 = Live in Midwest south byte %9.0g Child, 1 = Live in South wicearly byte %9.0g Child, 1 = WIC Benefits As Infant/Child wicearlymiss byte %9.0g momafb float %9.0g Child, Biological Mom's AFB momafb2 float %9.0g momafbmiss byte %9.0g momft byte %9.0g Child, 1 = Mom Works 35+ hrs/wk mompt byte %9.0g Child, 1 = Mom Works 1-34 hrs/wk momnw byte %9.0g Child, 1 = Mom Not Working momeda byte %9.0g Child, 1 = Mom's Ed < HS momedb byte %9.0g Child, 1 = Mom's Ed = HS/GED momedc byte %9.0g Child, 1 = Mom's Ed = Voc/Tech/Some Coll momedd byte %9.0g Child, 1 = Mom's Ed = BA momede byte %9.0g Child, 1 = Mom's Ed > BA ses double %10.0g Child, Continuous SES Measure ses2 float %9.0g sesmiss byte %9.0g bweight float %9.0g Child, birthweight (oz.), Cleaned bweight2 float %9.0g bweightmiss byte %9.0g hfoodb byte %9.0g Child, 1 = HH Never Worried About Running Out of Food Over Past Yr hfoodbmiss byte %9.0g books float %9.0g Child, # of Children's Books books2 float %9.0g booksmiss byte %9.0g z1 float %9.0g bweight*ses z2 float %9.0g bweight*books z3 float %9.0g bweight*age z4 float %9.0g bweight*momafb z5 float %9.0g books*ses z6 float %9.0g books*age z7 float %9.0g books*momafb z8 float %9.0g age*ses z9 float %9.0g age*momafb z10 float %9.0g ses*momafb z11 float %9.0g gender*white z12 float %9.0g gender*black z13 float %9.0g gender*hispanic z14 float %9.0g age*white z15 float %9.0g age*black z16 float %9.0g age*hispanic z17 float %9.0g ses*white z18 float %9.0g ses*black z19 float %9.0g ses*hispanic z20 float %9.0g bweight*white z21 float %9.0g bweight*black z22 float %9.0g bweight*hispanic lowincomesample float %9.0g 1 = low income sample ----------------------------------------------------------------------------- Sorted by: . bys gr: su ----------------------------------------------------------------------------- -> grade = 3 Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- grade | 9952 3 0 3 3 break1 | 9952 .3085812 .461931 0 1 break2 | 9952 .2294011 .4204688 0 1 lunch1 | 9948 .8064938 .3950661 0 1 lunch2 | 9952 .724377 .4468501 0 1 -------------+-------------------------------------------------------- clbmi | 9952 .1044909 .0896942 -.4463792 .7059348 under | 9952 .0866158 .2812853 0 1 over | 9952 .3652532 .4815253 0 1 obese | 9952 .1970458 .3977872 0 1 gender | 9952 .5127613 .4998622 0 1 -------------+-------------------------------------------------------- age | 9952 109.4477 4.333734 94 128 age2 | 9952 11997.58 956.1881 8836 16384 white | 9952 .5540595 .497094 0 1 black | 9952 .1369574 .3438196 0 1 hispanic | 9952 .190615 .3928058 0 1 -------------+-------------------------------------------------------- city | 9952 .3519895 .4776147 0 1 suburb | 9952 .3971061 .4893229 0 1 neast | 9952 .1782556 .382747 0 1 mwest | 9952 .2469855 .4312799 0 1 south | 9952 .3484727 .4765105 0 1 -------------+-------------------------------------------------------- wicearly | 9952 .4601085 .4984312 0 1 wicearlymiss | 9952 .0309486 .173187 0 1 momafb | 9952 23.5673 5.089558 12 46 momafb2 | 9952 581.3185 257.0549 144 2116 momafbmiss | 9952 .1165595 .3209108 0 1 -------------+-------------------------------------------------------- momft | 9952 .4032355 .4905719 0 1 mompt | 9952 .1886053 .3912144 0 1 momnw | 9952 .2876809 .4527043 0 1 momeda | 9952 .147709 .3548291 0 1 momedb | 9952 .3121986 .4634136 0 1 -------------+-------------------------------------------------------- momedc | 9952 .3072749 .4613875 0 1 momedd | 9952 .1363545 .3431819 0 1 momede | 9952 .0653135 .2470906 0 1 ses | 9952 -.0550694 .7708581 -4.75 2.67 ses2 | 9952 .5971951 1.329313 0 22.5625 -------------+-------------------------------------------------------- sesmiss | 9952 .0161777 .1261647 0 1 bweight | 9952 118.3241 23.35811 25 218 bweight2 | 9952 14546.15 5623.22 625 47524 bweightmiss | 9952 .0798834 .2711263 0 1 hfoodb | 9952 .8194333 .3846781 0 1 -------------+-------------------------------------------------------- hfoodbmiss | 9952 .0404944 .1971256 0 1 books | 9952 72.24958 56.14881 0 200 books2 | 9952 8372.374 11903.97 0 40000 booksmiss | 9952 .1086214 .3111792 0 1 z1 | 9952 -5.501189 92.91809 -885.06 351.4 -------------+-------------------------------------------------------- z2 | 9952 8636.766 7094.167 0 36800 z3 | 9952 12948.16 2604.853 2550 26536 z4 | 9952 2792.983 830.7859 364 6764 z5 | 9952 13.04592 73.99376 -836 534 z6 | 9952 7914.634 6169.296 0 25400 -------------+-------------------------------------------------------- z7 | 9952 1780.386 1536.722 0 9200 z8 | 9952 -6.0603 84.46937 -600.4 293.93 z9 | 9952 2578.208 560.1334 1236 5290 z10 | 9952 .4898511 19.32644 -125.4 100.32 z11 | 9952 .2853698 .4516131 0 1 -------------+-------------------------------------------------------- z12 | 9952 .0688304 .2531782 0 1 z13 | 9952 .0994775 .2993171 0 1 z14 | 9952 60.85675 54.69507 0 128 z15 | 9952 14.96551 37.60444 0 127 z16 | 9952 20.74383 42.78764 0 128 -------------+-------------------------------------------------------- z17 | 9952 .0955972 .5332399 -3.72 2.67 z18 | 9952 -.0577312 .3125428 -4.75 2.2 z19 | 9952 -.0896322 .3417832 -4.75 2.27 z20 | 9952 66.68661 62.28263 0 218 z21 | 9952 15.3663 39.52656 0 216 -------------+-------------------------------------------------------- z22 | 9952 22.50226 47.46319 0 215 lowincomes~e | 9952 .5050241 .4999999 0 1 ----------------------------------------------------------------------------- Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- grade | 7876 5 0 5 5 break1 | 7876 .301422 .4589047 0 1 break2 | 7876 .1828339 .3865549 0 1 lunch1 | 7872 .8051321 .3961241 0 1 lunch2 | 7876 .6615033 .4732284 0 1 -------------+-------------------------------------------------------- clbmi | 7876 .1982745 .1217105 -.4193473 .8179486 under | 7876 .0851955 .2791902 0 1 over | 7876 .4131539 .4924313 0 1 obese | 7876 .2298121 .4207386 0 1 gender | 7876 .5092687 .4999458 0 1 -------------+-------------------------------------------------------- age | 7876 132.6985 4.324854 117 151 age2 | 7876 17627.59 1154.686 13689 22801 white | 7876 .5565008 .4968289 0 1 black | 7876 .1227781 .3282031 0 1 hispanic | 7876 .1999746 .4000063 0 1 -------------+-------------------------------------------------------- city | 7876 .3357034 .4722658 0 1 suburb | 7876 .3962671 .4891522 0 1 neast | 7876 .1781361 .3826516 0 1 mwest | 7876 .2517776 .4340617 0 1 south | 7876 .3426866 .4746379 0 1 -------------+-------------------------------------------------------- wicearly | 7876 .4479431 .4973143 0 1 wicearlymiss | 7876 .0299644 .1705001 0 1 momafb | 7876 23.72274 5.064134 12 46 momafb2 | 7876 588.4108 256.3014 144 2116 momafbmiss | 7876 .1142712 .3181606 0 1 -------------+-------------------------------------------------------- momft | 7876 .4019807 .4903292 0 1 mompt | 7876 .1901981 .3924823 0 1 momnw | 7876 .2905028 .4540232 0 1 momeda | 7876 .1481717 .3552926 0 1 momedb | 7876 .3103098 .4626498 0 1 -------------+-------------------------------------------------------- momedc | 7876 .3080244 .461706 0 1 momedd | 7876 .1353479 .3421165 0 1 momede | 7876 .0681818 .2520737 0 1 ses | 7876 -.0520937 .7729751 -4.75 2.67 ses2 | 7876 .6001284 1.355486 0 22.5625 -------------+-------------------------------------------------------- sesmiss | 7876 .0151092 .1219951 0 1 bweight | 7876 118.5158 23.39191 25 218 bweight2 | 7876 14593.12 5649.448 625 47524 bweightmiss | 7876 .0777044 .2677229 0 1 hfoodb | 7876 .8270696 .3782111 0 1 -------------+-------------------------------------------------------- hfoodbmiss | 7876 .0369477 .1886454 0 1 books | 7876 72.53404 56.40544 0 200 books2 | 7876 8442.356 11999.25 0 40000 booksmiss | 7876 .1084307 .3109433 0 1 z1 | 7876 -5.107632 93.31302 -885.06 351.4 -------------+-------------------------------------------------------- z2 | 7876 8685.845 7138.272 0 36600 z3 | 7876 15725.11 3145.053 3150 31392 z4 | 7876 2816.384 832.2358 364 6764 z5 | 7876 13.59764 74.23228 -836 534 z6 | 7876 9633.58 7507.478 0 29400 -------------+-------------------------------------------------------- z7 | 7876 1798.438 1549.087 0 8400 z8 | 7876 -6.963201 102.6954 -717.25 357.78 z9 | 7876 3146.881 673.8102 1488 6026 z10 | 7876 .5523702 19.40272 -125.4 91.35 z11 | 7876 .285551 .4517052 0 1 -------------+-------------------------------------------------------- z12 | 7876 .0613255 .2399417 0 1 z13 | 7876 .1037329 .304933 0 1 z14 | 7876 74.0825 66.21716 0 150 z15 | 7876 16.2646 43.50544 0 150 z16 | 7876 26.40006 52.84148 0 151 -------------+-------------------------------------------------------- z17 | 7876 .1008306 .529532 -3.72 2.67 z18 | 7876 -.0555085 .3055901 -4.75 2.15 z19 | 7876 -.095073 .348089 -4.75 2.27 z20 | 7876 67.09177 62.3456 0 218 z21 | 7876 13.77397 37.7002 0 216 -------------+-------------------------------------------------------- z22 | 7876 23.6036 48.37585 0 215 lowincomes~e | 7876 .4978415 .5000271 0 1