{"id":87,"date":"2019-01-28T16:55:29","date_gmt":"2019-01-28T20:55:29","guid":{"rendered":"http:\/\/sites.nd.edu\/william-evans\/?page_id=87"},"modified":"2021-07-20T09:13:16","modified_gmt":"2021-07-20T13:13:16","slug":"stata-programs-and-data-files","status":"publish","type":"page","link":"https:\/\/sites.nd.edu\/william-evans\/econometrics-ii-graduate-2\/stata-programs-and-data-files\/","title":{"rendered":"STATA Programs and Data Files"},"content":{"rendered":"

STATA Resources<\/b><\/p>\n

ECOE 60303: Econometrics II (Graduate)<\/b><\/p>\n

 <\/p>\n

\n

Below is an introduction to STATA that accompanies this class. The tutorial is designed to be interactive where you type along with the worksheet.\ufffd\u00a0Please download and print the tutorial, find a computer with STATA, then start<\/strong><\/p>\n

\u00a0<\/strong><\/p>\n

Introduction to STATA<\/a>\u00a0tutorial (in pdf format)<\/strong><\/p>\n

Programs and data sets to accompany the tutorial<\/strong><\/p>\n

\u00a0cps87.xls<\/a>\u00a0Excel data set with raw data<\/strong><\/p>\n

\u00a0cps87.csv\u00a0<\/a>the same data set but in csv (comma delimited format)<\/strong><\/p>\n

\u00a0cps87.dta<\/a>\u00a0STATA data set<\/strong><\/p>\n

cps87.do<\/a>\u00a0STATA program that generates all the results in the tutorial<\/strong><\/p>\n

cps87.log<\/a>\u00a0Results from cps87.do<\/strong><\/p>\n

\u00a0<\/strong><\/p>\n

\u00a0<\/strong><\/p>\n

\u00a0<\/strong><\/p>\n

Sample STATA programs, data, and output<\/strong><\/p>\n

\u00a0<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Topic<\/strong><\/td>\nSTATA Program<\/strong><\/td>\nSTATA data set<\/strong><\/td>\nOutput<\/strong><\/td>\n<\/tr>\n
Fixed\/random effects<\/strong><\/td>\npsid1.do<\/a><\/strong><\/td>\npsid1.dta<\/a><\/strong><\/td>\npsid1.log<\/a><\/strong><\/td>\n<\/tr>\n
Diff-in-diff Acemoglu and Angrist<\/strong><\/td>\nada_jpe.do<\/a><\/strong><\/td>\nada_jpe.dta<\/a><\/strong><\/td>\nada_jpe.log<\/a><\/strong><\/td>\n<\/tr>\n
Kloeck\/Moulton problem<\/strong><\/td>\nhsb_subset.do<\/a><\/strong><\/td>\nhsb_subset.dat<\/a><\/strong><\/td>\nhsb_subset.log<\/a><\/strong><\/td>\n<\/tr>\n
Simple bootstrap program<\/strong><\/td>\nbootstrap_example.do<\/a><\/strong><\/td>\ncps87.dta<\/a><\/strong><\/td>\nbootstrap_example.log<\/a><\/strong><\/td>\n<\/tr>\n
Wild bootstrap t program<\/strong><\/td>\nwild_bs_example.do<\/a><\/strong><\/td>\nwild_bs_example.do<\/a><\/strong><\/td>\ncarton_sales_taxes.dta<\/a><\/strong><\/td>\n<\/tr>\n
RD design, replicate Card et al<\/strong><\/td>\ncard_et_al.do<\/a><\/strong><\/td>\ncard_et_al.dta<\/a><\/strong><\/td>\ncard_et_al.log<\/a><\/strong><\/td>\n<\/tr>\n
2SLS, replicate Angrist\/Krueger, QJE<\/strong><\/td>\nqob1.do<\/a><\/strong><\/td>\nqob1.dta<\/a><\/strong><\/td>\nqob1.log<\/a><\/strong><\/td>\n<\/tr>\n
2SLS, replicate Evans and Angrist, AER<\/strong><\/td>\npums80.do<\/a><\/strong><\/td>\npums80.dta<\/a><\/strong><\/td>\npums80.log<\/a><\/strong><\/td>\n<\/tr>\n
Probit\/logit, Evans, Farrelly,\u00a0Montgomery, AER<\/strong><\/td>\nworkplace1.do<\/a><\/strong><\/td>\nworkplace1.dta<\/a><\/strong><\/td>\nworkplace1.log<\/a><\/strong><\/td>\n<\/tr>\n
Odds\/ratio in logit smoking\/low birth weig<\/strong><\/td>\nnatal95.do<\/a><\/strong><\/td>\nnatal95.dta<\/a><\/strong><\/td>\nnatal95.log<\/a><\/strong><\/td>\n<\/tr>\n
Ordered probit, Self reported health status<\/strong><\/td>\nsr_health_status.do<\/a><\/strong><\/td>\nsr_health_status.dta<\/a><\/strong><\/td>\nsr_health_status.log<\/a><\/strong><\/td>\n<\/tr>\n
Multinomial logit<\/strong><\/td>\njob_training.do<\/a><\/strong><\/td>\njob_training.dta<\/a><\/strong><\/td>\njob_training.log<\/a><\/strong><\/td>\n<\/tr>\n
Conditional logit<\/strong><\/td>\ntravel_choice.do<\/a><\/strong><\/td>\ntravel_choice.dta<\/a><\/strong><\/td>\ntravel_choice.log<\/a><\/strong><\/td>\n<\/tr>\n
Count data models, Doctor visits<\/strong><\/td>\ndrvisits.do<\/a><\/strong><\/td>\ndrvisits.dta<\/a><\/strong><\/td>\ndrvisits.log<\/a><\/strong><\/td>\n<\/tr>\n
Conditional Poisson and NB fixed-effect models<\/strong><\/td>\nhelmet_law_data.do<\/a><\/strong><\/td>\nhelmet_law_data.dta<\/a><\/strong><\/td>\nhelmet_law_data.log<\/a><\/strong><\/td>\n<\/tr>\n
Tobit models, Censored wages in CPS<\/strong><\/td>\ntobit.do<\/a><\/strong><\/td>\ntobit.dta<\/a><\/strong><\/td>\ntobit.log<\/a><\/strong><\/td>\n<\/tr>\n
Heckman sample selection model<\/strong><\/td>\nmissing_data.do<\/a><\/strong><\/td>\nmissing_data.dta<\/a><\/strong><\/td>\nmissing_data.log<\/a><\/strong><\/td>\n<\/tr>\n
Mismeasured treatment<\/strong><\/td>\njtpa_treatment.do<\/a><\/strong><\/td>\njtpa_treatment.dta<\/a><\/strong><\/td>\njtpa_treatment.log<\/a><\/strong><\/td>\n<\/tr>\n
Duration data<\/strong><\/p>\n

SES and mortality<\/strong><\/td>\n

nlms_data.do<\/a><\/strong><\/td>\nnlms_data.dta<\/a><\/strong><\/td>\nnlms_data.log<\/a><\/strong><\/td>\n<\/tr>\n
Inverse probability weighting (propensity score matching)<\/strong><\/td>\nmatching1.do<\/a><\/strong><\/td>\nworkplace1.dta<\/a><\/strong><\/td>\nmatching1.log<\/a><\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0<\/strong><\/p>\n

Sample Matlab programs<\/strong><\/p>\n

\u00a0<\/strong><\/p>\n\n\n\n\n\n
Topic<\/strong><\/td>\nMatlab program<\/strong><\/td>\nData (excel format)<\/strong><\/td>\nOutput<\/strong><\/td>\n<\/tr>\n
Generating basic OLS estimates<\/strong><\/td>\nbasic_ols.m<\/a><\/strong><\/td>\ncps_wage_data.xlsx<\/a><\/strong><\/td>\nbasic_ols.txt<\/a><\/strong><\/td>\n<\/tr>\n
Analytic gradient, hessian and log-likelihood function for Poisson model. Compare to estimates using numeric approximation<\/strong><\/td>\npoisson_check.m<\/a><\/strong><\/p>\n

calcloglike.m<\/a><\/strong><\/p>\n

calcgrad.m<\/a><\/strong><\/p>\n

calchess.m<\/a><\/strong><\/td>\n

drvisits.xlsx<\/a><\/strong><\/td>\npoisson_check.txt<\/a><\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

STATA Resources ECOE 60303: Econometrics II (Graduate)   Below is an introduction to STATA that accompanies this class. The tutorial is designed to be interactive where you type along with the worksheet.\ufffd\u00a0Please download and print the tutorial, find a computer with STATA, then start \u00a0 Introduction to STATA\u00a0tutorial (in pdf format) Programs and data sets […]<\/p>\n","protected":false},"author":3287,"featured_media":0,"parent":76,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-87","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.nd.edu\/william-evans\/wp-json\/wp\/v2\/pages\/87","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.nd.edu\/william-evans\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.nd.edu\/william-evans\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/william-evans\/wp-json\/wp\/v2\/users\/3287"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/william-evans\/wp-json\/wp\/v2\/comments?post=87"}],"version-history":[{"count":1,"href":"https:\/\/sites.nd.edu\/william-evans\/wp-json\/wp\/v2\/pages\/87\/revisions"}],"predecessor-version":[{"id":88,"href":"https:\/\/sites.nd.edu\/william-evans\/wp-json\/wp\/v2\/pages\/87\/revisions\/88"}],"up":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/william-evans\/wp-json\/wp\/v2\/pages\/76"}],"wp:attachment":[{"href":"https:\/\/sites.nd.edu\/william-evans\/wp-json\/wp\/v2\/media?parent=87"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}