stata1.key

是一个经济学管理应用软件 很难找的 但是经济学学生又必须用到

.k err-ors in var-iables eiv reg-ressions
.k linear mult-iple reliab-ility meas-urements noise
.k least sq-uares ordinary ols model-s bias-es stochastic regressor-s
.o @eivreg@

.e [R] eivreg postestimation
.c manual
.t Postestimation tools for eivreg
.k pred-ictions
.k stat-istics est-imation est-imates
.k eivreg post-estimations post
.o @eivreg postestimation@

.e [R] estat
.c manual
.t Postestimation statistics
.k estat
.k stat-istics post post-estimations est-imation est-imates command-s
.k summ-arize samp-les mean-s vce variance-s cov-ariances display
.k ic information criterion corr-elations matr-ix
.k schwartz akaike-s bayes-ian aic bic
.o @estat@

.e [R] estimates
.c manual
.t Estimation results
.k stat-istics replay store change restore dir
.k post post-estimations est-imation est-imates command-s
.k tabl-es tab-ulate tab-ulations drop clear aic akaike-s information criterion
.k bic bayes-ian sav-ed e e-class class e(b) e(sample) e(v) result-s
.o @estimates@

.e [R] estimation options
.c manual
.t Estimation options
.k stat-istics est-imation est-imates opt-ions
.k constrain-ts clus-ters robust level conf-idence
.k noconstant no constant-s offset expos-ures
.k i t quadra-ture within group-s corr-elate corr-elations
.k exch-angeable scale-s
.o @estimation_options@

.e [R] exit
.c manual
.t Exit Stata
.k exit-ing util-ity quit stata sess-ions end leave bye stop-ping terminat-e
.o @exit@

.e [R] fracpoly
.c manual
.t Fractional polynomial regression
.k fracpoly fracgen stat-istics est-imation est-imates command-s
.k frac-tional poly-nomials model-s reg-ressions transfo-rmations norm-ality
.k clogit glm logis-tic logit poisson probit
.k stcox streg
.o @fracpoly@

.e [R] fracpoly postestimation
.c manual
.t Postestimation tools for fracpoly
.k pred-ictions fracplot fracpred
.k stat-istics est-imation est-imates
.k fracpoly post-estimations post
.k frac-tional poly-nomials
.k plot-s graph-s graph-ing graph-ics
.o @fracpoly postestimation@

.e [R] frontier
.c manual
.t Stochastic frontier models
.k frontier-s stat-istics est-imation est-imates command-s
.k stochastic production model-s
.k cost-s half-normal norm-al distrib-utions exp-onential cross section-al
.k trun-cated cond-itional mean-s hetero-skedasticity hetero-scedasticity
.o @frontier@

.e [R] frontier postestimation
.c manual
.t Postestimation tools for frontier
.k pred-ictions
.k stat-istics est-imation est-imates
.k frontier post-estimations post
.k tech-nical efficiency
.o @frontier postestimation@

.e [R] gllamm
.c manual
.t Generalized linear and latent mixed models
.k gllamm
.k stat-istics
.k skrondal rabe-hesketh hesketh pickles
.k gen-eralized linear latent model-s model-ing glm
.k multi-level level rand-om effect-s factor-s
.o @gllamm@ if installed
.x
	type ^ssc describe gllamm^ to learn more about this user-written
	command

.e [R] glm
.c manual
.t Generalized linear models
.k glm stat-istics est-imation est-imates command-s norm-al scale-s
.k general-ized linear model-s reg-ressions step-wise
.k glim link func-tions log-logs poisson binom-ial
.k gauss-ian logit probit neg-ative gamma odds ratio-s dose-s response-s
.k complem-entary clog-logs least sq-uares bernoulli inv-erse power
.k goodness fit distrib-utions family igaussian nbinomial iden-tity
.k hac hetero-skedasticity hetero-scedasticity cov-ariances matr-ix
.k matr-ices autocor-related autocor-relation consis-tent
.k kern-els irls boot-strapped jack-knifed jack-nifed
.o @glm@

.e [R] glm postestimation
.c manual
.t Postestimation tools for glm
.k pred-ictions
.k stat-istics est-imation est-imates
.k glm post-estimations post
.k anscombe cook-sd d
.o @glm postestimation@

.e [R] glogit
.c manual
.t Logit and probit for grouped data
.k glogit blogit bprobit gprobit stat-istics est-imation est-imates command-s
.k bina-ry dicho-tomous outcome-s model-s ml-e max-imum like-lihood
.k logis-tic logit probit reg-ressions group-ed block-ed data odds ratio-s
.k weight-ed least sq-uares robust meth-ods clus-ters
.k clus-tered clus-tering
.o @glogit@

.e [R] glogit postestimation
.c manual
.t Postest. for glogit, gprobit, blogit, & bprobit
.k pred-ictions
.k stat-istics est-imation est-imates
.k glogit gprobit blogit bprobit post-estimations post
.o @glogit postestimation@

.e [R] grmeanby
.c manual
.t Graph means and medians by categorical variables
.k grmeanby stat-istics graph-s graph-ics graph-ing
.k cat-egorical mean-s med-ians var-iables display
.o @grmeanby@

.e [R] hausman
.c manual
.t Hausman specification test
.k hausm-ans stat-istics specifica-tion test-s test-ing est-imators
.k post post-estimations est-imation est-imates command-s xthaus-man
.k efficient consist-ent irrel-evant altern-atives indep-endence iia
.o @hausman@

.e [R] heckman
.c manual
.t Heckman selection model
.k heckman stat-istics est-imation est-imates command-s
.k selec-tion model-s bias-ed
.k linear reg-ressions mill-s ratio-s multiv-ariate partici-pation ml-e
.k max-imum like-lihood robust meth-ods clus-ters clus-tering clus-tered
.k scor-es samp-le two-step step consist-ent efficient
.o @heckman@

.e [R] heckman postestimation
.c manual
.t Postestimation tools for heckman
.k pred-ictions
.k stat-istics est-imation est-imates
.k heckman post-estimations post
.k inv-erse mill-s ratio-s haz-ards nonsel-ection selec-tion
.o @heckman postestimation@

.e [R] heckprob
.c manual
.t Probit model with selection
.k heckprob stat-istics est-imation est-imates command-s
.k probit selec-tion
.k ml-e max-imum like-lihood reg-ressions robust meth-ods clus-ters
.k clus-tering clus-tered scor-es samp-le
.k bina-ry outcome-s dicho-tomous model-s
.o @heckprob@

.e [R] heckprob postestimation
.c manual
.t Postestimation tools for heckprob
.k pred-ictions
.k stat-istics est-imation est-imates
.k heckprob post-estimations post
.k marginal prob-ability selec-tion probit
.o @heckprob postestimation@

.e [R] help
.c manual
.t Display online help
.k help whelp chelp util-ity obtain man on-line
.o @help@

.e [R] hetprob
.c manual
.t Heteroskedastic probit model
.k hetprob stat-istics est-imation est-imates command-s probit step-wise
.k ml-e max-imum like-lihood reg-ressions hetero-scedasticity
.k hetero-skedasticity robust meth-ods clus-ters clus-tering clus-tered scor-es
.k bina-ry outcome-s dicho-tomous model-s
.o @hetprob@

.e [R] hetprob postestimation
.c manual
.t Postestimation tools after hetprob
.k pred-ictions
.k stat-istics est-imation est-imates
.k hetprob post-estimations post
.o @hetprob postestimation@

.e [R] histogram
.c manual
.t Histograms for continuous and categorical variables
.k stat-istics graph-s graph-ing graph-ics
.k hist-ograms cat-egorical var-iables freq-uencies freq-uency bin-s frac-tions
.k pop-ulations univar-iate distrib-utions display dens-ity mode-s kern-el
.o @histogram@

.e [R] inequality
.c manual
.t Inequality measures
.k stat-istics
.k inequal-ity meas-ures lorenz index indic-es pover-ty
.x
	type ^search inequality^ to locate many of the user-written
	commands for inequality measures

.e [R] intreg
.c manual
.t Interval regression
.k intreg
.k stat-istics est-imation est-imates command-s
.k interv-al reg-ressions step-wise
.k censor-ing censor-ed left right point-s
.k ml-e max-imum like-lihood
.o @intreg@

.e [R] intreg postestimation
.c manual
.t Postestimation tools for intreg
.k pred-ictions
.k stat-istics est-imation est-imates
.k intreg post-estimations post
.o @intreg postestimation@

.e [R] ivprobit
.c manual
.t Probit model with endogenous regressors
.k probit iv-probit
.k stat-istics est-imation est-imates command-s
.k instrum-ental var-iables endog-enous regressor-s model-s
.k prob-ability weight-ing robust meth-ods samp-ling samp-les clus-ters
.k pw-eights clus-tering scor-es max-imum like-lihood ml-e
.k bina-ry outcome-s model-s dicho-tomous risk-s reg-ressions
.k step-wise odds ratio-s
.k huber white-s weight-ed stand-ard err-ors std bias-ed sandw-ich
.o @ivprobit@

.e [R] ivprobit postestimation
.c manual
.t Postestimation tools for ivprobit
.k pred-ictions
.k stat-istics est-imation est-imates
.k ivprobit post-estimations post
.o @ivprobit postestimation@

.e [R] ivreg
.c manual
.t Instrumental variables two-stage least-squares) regression
.k iv-reg stat-istics est-imation est-imates command-s 2sls robust
.k clus-ters clus-tering clus-tered system-s simult-aneous eq-uations
.k instrum-ental var-iables two stage least sq-uares reg-ressions linear
.k endog-enous exog-enous stochastic regressor-s
.o @ivreg@

.e [R] ivreg postestimation
.c manual
.t Postestimation tools for ivreg
.k pred-ictions
.k stat-istics est-imation est-imates
.k ivreg post-estimations post
.o @ivreg postestimation@

.e [R] ivtobit
.c manual
.t Tobit model with endogenous regressors
.k tobit iv-tobit
.k stat-istics est-imation est-imates command-s
.k instrum-ental var-iables endog-enous regressor-s model-s
.k censor-ed norm-al interv-al reg-ressions group-ed data
.k prob-ability weight-ing robust meth-ods samp-ling samp-les clus-ters
.k weight-ed pw-eights clus-tering linear trun-cated ml-e max-imum like-lihood
.k censor-ing duration two-step step
.k fail-ure surviv-al anal-ysis time model-s reliab-ility duration
.k huber white-s stand-ard err-ors std bias-ed sandw-ich
.o @ivtobit@

.e [R] ivtobit postestimation
.c manual
.t Postestimation tools for ivtobit
.k pred-ictions
.k stat-istics est-imation est-imates
.k ivtobit post-estimations post
.o @ivtobit postestimation@

.e [R] jackknife
.c manual
.t Jackknife estimation
.k jknife-: jackknife-: : command-s prefix
.k stat-istics jack-knifed jack-nifed est-imation est-imates
.k samp-ling samp-les resamp-ling stand-ard std err-ors variance-s
.k clus-ters clus-tering clus-tered
.o @jackknife@

.e [R] jackknife postestimation
.c manual
.t Postestimation tools for jackknife
.k stat-istics est-imation est-imates
.k jackknife post-estimations post
.o @jackknife postestimation@

.e [R] kappa
.c manual
.t Interrater agreement
.k kap-pa kapwgt stat-istics interrat-er agree-ment rat-ings cat-egorical
.k test-s test-ing weight-ed rater-s hyp-othesis hyp-otheses outcome-s
.o @kappa@

.e [R] kdensity
.t Univariate kernel density estimation
.k kdensity stat-istics graph-s graph-ics graph-ing kern-el dens-ity univar-iate
.k smooth-ing hist-ograms pop-ulations distrib-utions display cos-ine gauss-ian
.k epan-echnikov parzen biweight-s width band-width rect-angular
.k triang-le triang-ular est-imation est-imates
.o @kdensity@

.e [R] ksmirnov
.c manual
.t Kolmogorov-Smirnov equality-of-distributions test
.k ksmirnov stat-istics equal-ity test-s test-ing kol-mogorov smir-nov
.k distrib-utions pop-ulations cumul-ative goodness fit hyp-otheses
.k nonpar-ametric non param-etric hyp-othesis exact norm-ality
.o @ksmirnov@

.e [R] kwallis
.c manual
.t Kruskal-Wallis equality-of-populations rank test
.k kwallis stat-istics wilcox-on mann-whitney whitney equal-ity test-s test-ing
.k pop-ulations rank-s kruskal-wallis wallis nonpar-ametric
.k distrib-utions hyp-othesis hyp-otheses one-way way non param-etric
.o @kwallis@

.e [R] ladder
.c manual
.t Ladder of powers
.k ladder gladder qladder stat-istics graph-s graph-ics graph-ing power-s
.k norm-ality transfo-rmations asym-metry hist-ograms skew-ness sym-metry
.k univar-iate distrib-utions display reexp-ressions expr-essions
.k quantile-s plot-s q-qplots
.o @ladder@

.e [R] level
.c manual
.t Set default confidence level
.k set level util-ity default signif-icance conf-idence interv-als
.o @level@

.e [R] lincom
.c manual
.t Linear combinations of estimators
.k lincom stat-istics
.k post post-estimations est-imation est-imates command-s
.k linear comb-inations est-imators coef-ficients point-s std err-ors
.k stand-ard conf-idence interv-als relativ-e risk-s odd-s ratio-s
.k incid-ence rate-s reg-ressions
.o @lincom@

.e [R] linktest
.c manual