{smcl} {com}{sf}{ul off}{txt}{.-} log: {res}C:\guido\match\04feb_stata7\lalonde_exper_04feb2.smcl {txt}log type: {res}smcl {txt}opened on: {res} 3 Feb 2004, 17:58:42 {txt} {com}. use lalonde_exper, clear {txt} {com}. matrix define mymat = I(4) {txt} {com}. gen weight=exp((educ-10.1)/2) {txt} {com}. gen u74=reo74 {txt} {com}. . match re78 t age {txt}Matching estimator: Average Treatment Effect {col 45}Number of obs {col 68}={res} 445 {txt} {col 45}Number of matches (m) = {res} 1 {txt}{hline 13}{c TT}{hline 64} re78 {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} SATE {c |} {res} 1785.191 686.7167 2.60 0.009 439.2511 3131.131 {txt}{hline 13}{c BT}{hline 64} {p 0 8 4}Matching variables: age{p_end} {hline 78} {com}. . . match re78 t age educ re74 re75 {txt}Matching estimator: Average Treatment Effect Weighting matrix: inverse variance {col 45}Number of obs {col 68}={res} 445 {txt} {col 45}Number of matches (m) = {res} 1 {txt}{hline 13}{c TT}{hline 64} re78 {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} SATE {c |} {res} 1714.407 740.1292 2.32 0.021 263.7806 3165.034 {txt}{hline 13}{c BT}{hline 64} {p 0 8 4}Matching variables: age educ re74 re75{p_end} {hline 78} {com}. match {txt}Matching estimator: Average Treatment Effect Weighting matrix: default {col 45}Number of obs {col 68}={res} 445 {txt} {col 45}Number of matches (m) = {res} 1 {txt}{hline 13}{c TT}{hline 64} re78 {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} SATE {c |} {res} 1714.407 740.1292 2.32 0.021 263.7806 3165.034 {txt}{hline 13}{c BT}{hline 64} {p 0 8 4}Matching variables: age educ re74 re75{p_end} {hline 78} {com}. . match re78 t age educ re74 re75, m(3) {txt}Matching estimator: Average Treatment Effect Weighting matrix: inverse variance {col 45}Number of obs {col 68}={res} 445 {txt} {col 45}Number of matches (m) = {res} 3 {txt}{hline 13}{c TT}{hline 64} re78 {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} SATE {c |} {res} 1536.303 661.9304 2.32 0.020 238.9429 2833.662 {txt}{hline 13}{c BT}{hline 64} {p 0 8 4}Matching variables: age educ re74 re75{p_end} {hline 78} {com}. match re78 t age educ re74 re75, tc(att) {txt}Matching estimator: Average Treatment Effect for the Treated Weighting matrix: inverse variance {col 45}Number of obs {col 68}={res} 445 {txt} {col 45}Number of matches (m) = {res} 1 {txt}{hline 13}{c TT}{hline 64} re78 {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} SATT {c |} {res} 1726.913 836.6296 2.06 0.039 87.14906 3366.677 {txt}{hline 13}{c BT}{hline 64} {p 0 8 4}Matching variables: age educ re74 re75{p_end} {hline 78} {com}. match re78 t age educ re74 re75, tc(atc) {txt}Matching estimator: Average Treatment Effect for the Controls Weighting matrix: inverse variance {col 45}Number of obs {col 68}={res} 445 {txt} {col 45}Number of matches (m) = {res} 1 {txt}{hline 13}{c TT}{hline 64} re78 {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} SATC {c |} {res} 1705.509 820.0959 2.08 0.038 98.1503 3312.867 {txt}{hline 13}{c BT}{hline 64} {p 0 8 4}Matching variables: age educ re74 re75{p_end} {hline 78} {com}. match re78 t age educ re74 re75, met(maha) {txt}Matching estimator: Average Treatment Effect Weighting matrix: Mahalanobis {col 45}Number of obs {col 68}={res} 445 {txt} {col 45}Number of matches (m) = {res} 1 {txt}{hline 13}{c TT}{hline 64} re78 {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} SATE {c |} {res} 1592.617 684.7298 2.33 0.020 250.5709 2934.663 {txt}{hline 13}{c BT}{hline 64} {p 0 8 4}Matching variables: age educ re74 re75{p_end} {hline 78} {com}. match re78 t age educ re74 re75, met(mymat) {txt}Matching estimator: Average Treatment Effect Weighting matrix: mymat {col 45}Number of obs {col 68}={res} 445 {txt} {col 45}Number of matches (m) = {res} 1 {txt}{hline 13}{c TT}{hline 64} re78 {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} SATE {c |} {res} 1808.472 748.7374 2.42 0.016 340.9734 3275.97 {txt}{hline 13}{c BT}{hline 64} {p 0 8 4}Matching variables: age educ re74 re75{p_end} {hline 78} {com}. match re78 t age educ re74 re75, bias(bias) {txt}Matching estimator: Average Treatment Effect Weighting matrix: inverse variance {col 45}Number of obs {col 68}={res} 445 {txt} {col 45}Number of matches (m) = {res} 1 {txt}{hline 13}{c TT}{hline 64} re78 {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} SATE {c |} {res} 1630.915 745.2336 2.19 0.029 170.2842 3091.546 {txt}{hline 13}{c BT}{hline 64} {p 0 8 4}Matching variables: age educ re74 re75{p_end} {p 0 8 4}Bias-adj variables: age educ re74 re75{p_end} {hline 78} {com}. match re78 t age educ re74 re75, bias(married age) {txt}Matching estimator: Average Treatment Effect Weighting matrix: inverse variance {col 45}Number of obs {col 68}={res} 445 {txt} {col 45}Number of matches (m) = {res} 1 {txt}{hline 13}{c TT}{hline 64} re78 {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} SATE {c |} {res} 1719.687 743.6085 2.31 0.021 262.2407 3177.132 {txt}{hline 13}{c BT}{hline 64} {p 0 8 4}Matching variables: age educ re74 re75{p_end} {p 0 8 4}Bias-adj variables: married age{p_end} {hline 78} {com}. match re78 t age educ re74 re75, exact(age) {txt}Matching estimator: Average Treatment Effect Weighting matrix: inverse variance {col 45}Number of obs {col 68}={res} 445 {txt} {col 45}Number of matches (m) = {res} 1 {txt}{hline 13}{c TT}{hline 64} re78 {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} SATE {c |} {res} 2007.633 817.0965 2.46 0.014 406.1533 3609.113 {txt}{hline 13}{c BT}{hline 64} {p 0 8 4}Matching variables: age educ re74 re75{p_end} {p 0 8 4}Exact matching variables: age{p_end} {p 3 8 4}(Percent of exact matches: {res}94.79844{txt}) {hline 78} {com}. match re78 t age educ re74 re75, exact(married u74) {txt}Matching estimator: Average Treatment Effect Weighting matrix: inverse variance {col 45}Number of obs {col 68}={res} 445 {txt} {col 45}Number of matches (m) = {res} 1 {txt}{hline 13}{c TT}{hline 64} re78 {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} SATE {c |} {res} 1847.044 730.6551 2.53 0.011 414.9864 3279.102 {txt}{hline 13}{c BT}{hline 64} {p 0 8 4}Matching variables: age educ re74 re75{p_end} {p 0 8 4}Exact matching variables: married u74{p_end} {p 3 8 4}(Percent of exact matches: {res}100{txt}) {hline 78} {com}. match re78 t age educ re74 re75, var(pop) {txt}Matching estimator: Population Average Treatment Effect Weighting matrix: inverse variance {col 45}Number of obs {col 68}={res} 445 {txt} {col 45}Number of matches (m) = {res} 1 {txt}{hline 13}{c TT}{hline 64} re78 {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} PATE {c |} {res} 1714.407 743.3846 2.31 0.021 257.4 3171.414 {txt}{hline 13}{c BT}{hline 64} {p 0 8 4}Matching variables: age educ re74 re75{p_end} {hline 78} {com}. match re78 t age educ re74 re75, rob(3) {txt}Matching estimator: Average Treatment Effect Weighting matrix: inverse variance {col 45}Number of obs {col 68}={res} 445 {txt} {col 45}Number of matches (m) = {res} 1 {txt}{col 45}Number of matches, {col 47}robust std. err. (h) = {res} 3 {txt}{hline 13}{c TT}{hline 64} re78 {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} SATE {c |} {res} 1714.407 696.2724 2.46 0.014 349.7383 3079.076 {txt}{hline 13}{c BT}{hline 64} {p 0 8 4}Matching variables: age educ re74 re75{p_end} {hline 78} {com}. match re78 t age educ re74 re75 [w=weight] {txt}(sampling weights assumed) Matching estimator: Average Treatment Effect Weighting matrix : inverse variance {col 45}Number of obs {col 68}={res} 445 {txt}Weight variable: weight {col 45}Number of matches (m) = {res} 1 {txt}{hline 13}{c TT}{hline 64} re78 {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} SATE {c |} {res} 3146.96 1070.915 2.94 0.003 1048.005 5245.914 {txt}{hline 13}{c BT}{hline 64} {p 0 8 4}Matching variables: age educ re74 re75{p_end} {hline 78} {com}. . match re78 t age educ re74 re75 [w=weight], m(3) tc(att) met(mymat) bias(married age) exact(age) var(pop) rob(3) {txt}(sampling weights assumed) Matching estimator: Population Average Treatment Effect for the Treated Weighting matrix : mymat {col 45}Number of obs {col 68}={res} 445 {txt}Weight variable: weight {col 45}Number of matches (m) = {res} 3 {txt}{col 45}Number of matches, {col 47}robust std. err. (h) = {res} 3 {txt}{hline 13}{c TT}{hline 64} re78 {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} PATT {c |} {res} 3821.193 742.9881 5.14 0.000 2364.963 5277.423 {txt}{hline 13}{c BT}{hline 64} {p 0 8 4}Matching variables: age educ re74 re75{p_end} {p 0 8 4}Bias-adj variables: married age{p_end} {p 0 8 4}Exact matching variables: age{p_end} {p 3 8 4}(Percent of exact matches: {res}66.251731{txt}) {hline 78} {com}. match re78 t age educ re74 [w=weight], m(3) tc(ate) met(maha) bias(age re75) exact(married) {txt}(sampling weights assumed) Matching estimator: Average Treatment Effect ate Weighting matrix : Mahalanobis {col 45}Number of obs {col 68}={res} 445 {txt}Weight variable: weight {col 45}Number of matches (m) = {res} 3 {txt}{hline 13}{c TT}{hline 64} re78 {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} SATE {c |} {res} 2750.723 981.1038 2.80 0.005 827.7947 4673.651 {txt}{hline 13}{c BT}{hline 64} {p 0 8 4}Matching variables: age educ re74{p_end} {p 0 8 4}Bias-adj variables: age re75{p_end} {p 0 8 4}Exact matching variables: married{p_end} {p 3 8 4}(Percent of exact matches: {res}100{txt}) {hline 78} {com}. . . . log close {txt}log: {res}C:\guido\match\04feb_stata7\lalonde_exper_04feb2.smcl {txt}log type: {res}smcl {txt}closed on: {res} 3 Feb 2004, 18:01:37 {txt}{.-} {smcl} {txt}{sf}{ul off}