Emilia Del Bono, Josh Kinsler, and Ronni Pavan, "Identification of Dynamic Latent Factor Models of Skill Formation with Translog Production", Journal of Applied Econometrics, Vol. 37, No. 6, 2022, pp. 1256-1265. The file dkp-files.zip contains the following files: In the subfolder "data": data.dta and data.csv These contain all the data in two different formats. TABLE-1-B1-B2.do This do file uses data.dta and produces TABLE-1-B1-B2.txt where all the information for Table 1, Table B1 and Table B2 can be found. Replace the "run" commands with "do" commands to get the output with the standard errors. TABLE-B3.do This do file produces TABLE-B3.txt where all the information for Table B3 can be found. TABLE-B4.do This do file produces TABLE-B4.txt where all the information for Table B4 can be found. The subfolder "codes" contains: TL_model1.do TL_model2.do These are do files to estimate and simulate the treatment effects for the translog production function. They are mainly used in TABLE-1-B1-B2.do. In TL_model1.do, we impose restrictions on the loading factors. In TL_model2.do, we impose restrictions on the technology parameters CES_model1.do and CES_model2.do These are do files to estimate and simulate the treatment effects for the CES production function. They are mainly used in TABLE-1-B1-B2.do. In CES_model1.do we impose restrictions on the loading factors. In CES_model2.do we impose restrictions on the technology parameters. sim-gen.do This file simulates data from a cubic specification. It is saved in data_gen_TL-flex.dta. It is used in TABLE-B3.do mis-specify-TL-flex.do This file estimates a model with a cubic specification. It is used in TABLE-B3.do and in TABLE-B4.do mis-specify-sim.do This file simulates data from a CES specification. It is saved in data_mis_specify.dta. It is used in TABLE-B4.do mis-specify-CES.do This file estimates a model with a CES specification. It is used in TABLE-B4.do mis-specify-TL.do This file estimates a model with a translog specification. It is used in TABLE-B4.do The subfolder "raw" contains: aej.CHILDYA and aej2.NLSY79 These are the tagsets that can be used to recover the CNLSY97 data. The original data can be obtained here: https://www.nlsinfo.org/investigator/pages/login aej-value-labels.do and aej2-value-labels.do These files change the names of the variables data.do This file puts together the data set, reshapes it, and performs some sample selection. It produces the final data set "data.dta", which is also provided as a CSV file in "data.csv". Summary statistics of data.dta: Variables Obs Mean Std. Dev. Min Max Description cid 12,835 543909.7 328418.2 201 1228401 child identification number year 12,835 1994.722 6.059459 1986 2014 year mid 12,835 5439.087 3284.182 2 12284 mother identification number math 12,835 35.81761 22.7194 -7 84 cognitive test score recognition 12,835 39.37133 25.09543 -7 84 cognitive test score museum 12,835 1.140086 3.183056 -7 5 measure of investment theater 12,835 0.830540 3.047114 -7 5 measure of investment gatherings 12,835 2.313518 3.6924 -7 6 measure of investment comp 12,835 34.81325 22.86732 -7 84 cognitive test score schooling 12,835 10.73611 4.978677 0 20 mother's year of schooling worth_1980 12,835 1.508609 0.54698 -3 4 non-cognitive test for the mother nogood_1980 12,835 3.059603 0.81340 -3 4 non-cognitive test for the mother word_Z 12,835 467.5705 96.76992 182 796 cognitive test for the mother paragraph_Z 12,835 478.3132 99.45194 -4 730 cognitive test for the mother income 12,835 39887.85 71057.32 -5 974100 family income books 12,835 2.346630 3.556122 -7 4 measure of investment instrument 12,835 -1.35650 4.139275 -7 2 measure of investment lessons 12,835 -0.70097 3.960597 -7 2 measure of investment newspaper 12,835 -1.66050 4.22971 -7 2 measure of investment eatmomdad 12,835 3.124192 4.707049 -7 7 measure of investment praised 11,920 4.821812 12.39709 -7 150 measure of investment age 12,835 10.61792 2.263709 7 14 age of the child cat 12,835 2.558551 1.106836 1 4 age group of the child