stata9.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

.e SJ-3-3 @net:sj 3-3 st0045!st0045@
.c sj
.a L. Cappellari & S. P. Jenkins
.t Multivariate probit reg. using simulated maximum likelihood
.k stat-istics max-imum like-lihood ml-e multiv-ariate probit reg-ressions
.k est-imation est-imates bina-ry outcome-s dicho-tomous
.k model-s ghk simulator simul-ations mvppred mvprob_ll mvprobit
.o @mvppred@, @mvprobit@ if installed
.x
	Q3/03	SJ 3(3):278--294
	command providing maximum likelihood multivariate probit
	regression using the GHK simulation method

.e SJ-3-3 @net:sj 3-3 gr0002!gr0002@
.c sj
.a S. Juul
.t Lean mainstream schemes for Stata 8 graphics
.k graph-s graph-ics graph-ing scheme-s
.k default style-s color-style .gph gph lean1 lean2
.x
	Q3/03	SJ 3(3):295--301
	presents two schemes for lean graph layout

.e SJ-3-3 @net:sj 3-3 st0046!st0046@
.c sj
.a B. P. Poi
.t From the help desk:  Swamy's random-coefficients model
.k xt-rchh2 xtrc2_p swamy stat-istics est-imates est-imation reg-ressions
.k cross section-al time-series series panel-s data longi-tudinal
.k rand-om coef-ficients model-s hildreth houck
.o @xtrchh2@ if installed
.x
	Q3/03	SJ 3(3):302--308
	extension of @xtrchh@ providing estimates of panel-specific
	coefficients; discusses the Swamy random-coefficients model

.e SJ-3-3 pr0010
.c sj
.a N. J. Cox
.t Speaking Stata:  Problems with tables, Part I
.k stat-istics table-s tab-ulate tabstat tabsum tabdisp list-s
.k summ-ary summ-arize descrip-tive tab-ulations
.k freq-uencies mean-s sd std stand-ard dev-iations sum-s count-s max-imums
.k min-imums med-ians percent-iles iqr freq-uency total-s
.k interquart-ile range ave-rages centile-s creat-ed quantile-s quartile-s
.k format-s format-ting display-ing contract statsby collapse
.x
	Q3/03	SJ 3(3):309--324				 (no commands)
	presents ways of preparing material for tabulation

.e SJ-3-3 @net:sj 3-3 snp15_4!snp15_4@
.c sj
.a R. Newson
.t Software updates for ^somersd^
.k stat-istics nonpar-ametric non param-etric test-s test-ing somer-sd d
.k kendall-s tau rank-sums sum-s somers_p
.k corr-elate corr-elations assoc-iations wilcox-on meth-ods
.k conf-idence interv-als jack-knifed jack-nifed clus-ters clus-tering
.o @somersd@ if installed
.x
	Q3/03	SJ 3(3):325
	bug fix for ^somersd^

.e SJ-3-3 @net:sj 3-3 snp16_2!snp16_2@
.c sj
.a R. Newson
.t Software update for ^cendif^
.k stat-istics cendif robust conf-idence interv-als med-ians percent-iles
.k diff-erences ratio-s rank-sums sum-s wilcox-on two samp-les
.k nonpar-ametric
.k non param-etric test-s test-ing hodges lehmann somer-sd d somers_p
.o @cendif@ if installed
.x
	Q3/03	SJ 3(3):325
	now includes cendif.pdf manual

.e SJ-3-3 @net:sj 3-3 sg151_1!sg151_1@
.c sj
.a R. Newson
.t Software update for ^bspline^
.k stat-istics spline-s b-splines piecewise linear reg-ressions knot-s
.k interpo-lations interpo-late cub-ic quad-ratic french curv-es
.k bspline frencurv
.o @bspline@, @frencurv@ if installed
.x
	Q3/03	SJ 3(3):325
	now includes bspline.pdf manual

.e SJ-3-2 gn0006
.c sj
.a H. J. Newton and N. J. Cox
.t The Stata Journal so far:  Editors' report
.k sj-s tsj-s stb-s stata tech-nical bulle-tin journal-s
.x
	Q2/03	SJ 3(2):105--108				 (no commands)
	thoughts on the past, present, and future of the Stata
	Journal

.e SJ-3-2 @net:sj 3-2 st0035!st0035@
.c sj
.a R. Newson & The ALSPAC Study Team
.t Multiple-test procedures and smile plots
.k stat-istics graph-ics graph-ing graph-s plot-s smile mult-iple compar-isons
.k test-s test-ing closed data-mining mining err-ors rate-s family-wise wise
.k false discovery bonfer-ronis holm-s sidak-s holland-s copenhaver-s liu-s
.k hochberg-s rom-s simes benjamini-s yekutieli-s krieger-s p-values value-s
.k fwer fdr parapet line-s smileplot-7 multproc
.o @smileplot@ if installed
.x
	Q2/03	SJ 3(2):109--132
	implements multiple test procedures to control either
	the family-wise error rate or the false discovery rate;
	graphical tool for summarizing a set of multiple analyses

.e SJ-3-2 @net:sj 3-2 st0036!st0036@
.c sj
.a I. H. Salgado-Ugarte & M. A. Perez-Hernandez
.t Exploring variable bandwidth kernel density estimators
.k stat-istics kern-el dens-ity var-iables band-width width bands gauss-ian
.k est-imators est-imation est-imates univar-iate smooth-ing smooth-ers
.k multi-modality modal-ity cross valid-ation valid-ate test-s test-ing
.k distrib-utions nonpar-ametric non param-etric graph-ics graph-ing graph-s
.k adaptive varwiker varwike2 adgakern adgaker2
.x
	(help @varwiker@, @varwike2@ if installed)
	Q2/03	SJ 3(2):133--147
	implements variable bandwidth Gaussian kernel density
	estimation and provides graphs; discusses behavior

.e SJ-3-2 @net:sj 3-2 st0037!st0037@
.c sj
.a P. van Kerm
.t Adaptive kernel density estimation
.k stat-istics kern-el dens-ity adaptive est-imators est-imation est-imates
.k univar-iate smooth-ing smooth-ers nonpar-ametric non param-etric local-ly
.k band-width width bands gauss-ian epan-echnikov distrib-utions var-iables
.k variability graph-ics graph-ing graph-s akdensity-0
.o @akdensity@ if installed
.x
	Q2/03	SJ 3(2):148--156
	implements variable bandwidth Gaussian and Epanechnikov
	kernel density estimation, allows weights, allows estimation
	of pointwise variability bands, and provides graphs

.e SJ-3-2 @net:sj 3-2 st0038!st0038@
.c sj
.a O. M. G. Keshk
.t CDSIMEQ: A program to implement two-stage probit least squares
.k stat-istics est-imation est-imates probit bina-ry outcome-s model-s
.k continu-ous dicho-tomous endog-enous simult-aneous eq-uations 2spls 2sls
.k instrum-ental var-iables two stage least sq-uares reg-ressions
.k std err-ors stand-ard amemiya maddala cdsimeq
.o @cdsimeq@ if installed
.x
	Q2/03	SJ 3(2):157--167
	two-stage probit least squares estimation for simultaneous
	equation models in which one of the endogenous variables
	is continuous and the other is dichotomous

.e SJ-3-2 @net:sj 3-2 st0039!st0039@
.c sj
.a D. M. Drukker
.t Testing for serial correlation in linear panel-data models
.k stat-istics test-s test-ing panel-s data-sets set-s specifica-tion linear
.k cross section-al time-series series serial-ly corr-elations
.k xt wooldridge xtserial
.o @xtserial@ if installed
.x
	Q2/03	SJ 3(2):168--177
	test for serial correlation in random- or fixed-effects
	one-way models that can be applied under general conditions

.e SJ-3-2 st0040
.c sj
.a A. McDowell
.t From the help desk:  hurdle models
.k stat-istics hurdle model-s count-s
.x
	Q2/03	SJ 3(2):178--184				 (no commands)
	demonstrates how the parameters of a hurdle model can be
	estimated in Stata using a combination of existing commands

.e SJ-3-2 pr0009
.c sj
.a N. J. Cox
.t Speaking Stata:  Problems with lists
.k list-s macro-s prog-ramming prog-rams tokenize token-s for-each each
.k loop-s loop-ing repeat-ing iter-ate for-values value-s level-s
.x
	Q2/03	SJ 3(2):185--202				 (no commands)
	discusses ways of working through lists held in macros

.e SJ-3-2 gn0007
.c sj
.a J. M. Garrett
.t Review of Stat. Modeling for Biomedical Researchers by Dupont
.k book-s review-s dupont biostat-istics stat-istics model-ing complex data
.k simple intro-duction anal-ysis biomedical research-ers
.x
	Q2/03	SJ 3(2):203--207				 (no commands)
	book review of ^Statistical Modeling for Biomedical^
	^Researchers: A Simple Introduction to the Analysis of^
	^Complex Data^ by Dupont (2002)

.e SJ-3-2 gn0008
.c sj
.a S. Stillman
.t Review of Generalized Estimating Equations by Hardin and Hilbe
.k book-s review-s hardin hilbe gee xt-gee stat-istics general-ized eq-uations
.k est-imation est-imators estimat-ing linear model-s
.x
	Q2/03	SJ 3(2):208--210				 (no commands)
	book review of ^Generalized Estimating Equations^ by Hardin
	and Hilbe (2003)

.e SJ-3-2 @net:sj 3-2 gr41_1!gr41_1@
.c sj
.a N. J. Cox
.t Software update for ^distplot^
.k graph-s graph-ing graph-ics plot-s cdf ecdf cumul-ative distrib-utions
.k surviv-al reliab-ility surviv-or func-tions distplot
.o @distplot@ if installed
.x
	Q2/03	SJ 3(2):211
	enhanced to use Stata 8 graphics and provides new options

.e SJ-3-2 @net:sj 3-2 sbe31_1!sbe31_1@
.c sj
.a W. D. Dupont and D. Plummer
.t Software update for ^exactcc^ and ^exactcci^
.k stat-istics cc-i conf-idence interv-als exact case-controls control-s
.k odds ratio-s study studies cornfield yates chi-squared sq-uared chi-2 2
.k woolf tabl-es epi-demiological epi-demiology tab-ulate adjusted unadjusted
.k prevent-ed attrib-utable frac-tions fisher-s immed-iate exactcc-i
.k continu-ity correct-ion correct-ed
.o @exactcc@ if installed
.x
	Q2/03	SJ 3(2):211
	exact confidence intervals for odds ratios from case-control
	studies; restores correct behavior for users of Stata 7 and
	Stata 8

.e SJ-3-2 @net:sj 3-2 sg113_1!sg113_1@
.c sj
.a N. J. Cox
.t Software update for ^modes^
.k stat-istics mode-s tabl-es tab-ulate tab-ulations
.o @modes@ if installed
.x
	Q2/03	SJ 3(2):211
	provides new option for specifying the number of modes to
	be shown

.e SJ-3-2 @net:sj 3-2 st0004_1!st0004_1@
.c sj
.a C. F. Baum
.t Software update for ^xttest2^
.k stat-istics xt-reg xt-gls cross section-al time-series series
.k fix-ed effect-s contempo-raneous corr-elations test-s test-ing
.k groupwise hetero-scedasticity hetero-skedasticity xttest2 xttest3
.o @xttest2@ if installed
.x
	Q2/03	SJ 3(2):211
	bug fix for ^xttest2^

.e SJ-3-1 @net:sj 3-1 st0030!st0030@
.c sj
.a C. F. Baum, M. E. Schaffer, & S. Stillman
.t Instrumental variables and GMM: Estimation and testing
.k stat-istics est-imation est-imates gmm general-ized meth-ods mom-ents
.k iv instrum-ental var-iables test-s test-ing endog-enous endogeneity
.k hetero-skedasticity hetero-scedasticity overident-ification reg-ressions
.k restric-ted restric-tions robust clus-ters clus-tering group-s intra-groups
.k corr-elate corr-elations hansen sargan c j durbin wu hausman
.k ivendog ivhettest ivreg2 ivreg2_p overid
.x
	(help @ivreg2@, @overid@, @ivendog@, @ivhettest@ if installed)
	Q1/03	SJ 3(1):1--31
	extended instrumental variables routine that provides
	generalized methods of moments (GMM) estimates as well
	as additional diagnostic tests for overidentification,
	endogeneity, and heteroskedasticity

.e SJ-3-1 @net:sj 3-1 st0031!st0031@
.c sj
.a G. Rodriguez & I. Elo
.t Intra-class corr. in random-effects models for binary data
.k stat-istics intra-class class corr-elations rand-om effect-s model-s
.k probit xtprobit logit xtlogit xtclog-log cloglog complem-entary log
.k pearson-s yule-s q bina-ry outcome-s xtr_disp xtrho xtrhoi xtr_icc
.o @xtrho@, @xtrhoi@ if installed
.x
	Q1/03	SJ 3(1):32--46
	intra-class manifest associations in random-effects ^xtprobit^,
	^xtlogit^, and ^xtclog^ including Pearson's r and Yule's Q

.e SJ-3-1 @net:sj 3-1 st0032!st0032@
.c sj
.a C. L. Saunders, D. T. Bishop, & J. H. Barrett
.t Sample size calc. for main eff.& inter. in case-control studies
.k stat-istics gene-tics case-s control-s interact-ions noncen-tral
.k chi-squared sq-uared chi-2 2 environ-ment power-s determ-ination
.k samp-les size-s nchi2 npnchi2 study studies design-s match-ing match-ed
.k co_power esurrcontrol2 geipower tdt_geipower eactualcase esurrcontrol3
.k ggipower tdt_ggipower eactualcontrol1 gactualcase gsurrcase vars1 vars2
.k eactualcontrol2 gactualcontrol1 gsurrcontrol1 eactualcontrol3
.k gactualcontrol2 gsurrcontrol2 esurrcase gactualcontrol3 gsurrcontrol3
.k esurrcontrol1 gei_matching second_primary
.x
	(help @ggipower@, @geipower@, @tdt_ggipower@, @tdt_geipower@,
	      @co_power@, @second_primary@, @gei_matching@ if installed)
	Q1/03	SJ 3(1):47--56
	power and sample size calculations for main effects and
	interactions in case-control studies (including gene-gene
	and gene-environment interactions) using the ^nchi2^ and
	^npnchi2^ functions

.e SJ-3-1 @net:sj 3-1 st0033!st0033@
.c sj
.a M. J. Moreira & B. P. Poi
.t Implementing tests with correct size in simultaneous eq. model
.k stat-istics instrum-ental var-iables iv-reg test-s test-ing wald weak
.k like-lihoodratio ratio-s scor-e similar conf-idence region-s interv-als
.k 2sls two stage least sq-uares structur-al simult-aneous eq-uations
.k est-imates est-imation graph-s graph-ics graph-ing cond-itional
.k liml limited info-rmation max-imum like-lihood
.k condivreg condtest condgraph
.x
	(help @condivreg@, @condtest@, @condgraph@ if installed)
	Q1/03	SJ 3(1):57--70
	estimates a regression equation with an endogenous regressor
	using either 2SLS or LIML, performs conditional tests, and
	graphs confidence intervals

.e SJ-3-1 st0034
.c sj
.a W. Guan
.t From the help desk: Bootstrapped standard errors
.k stat-istics boot-strapped std err-ors stand-ard clus-ters
.k instrum-ental var-iables nl non linear nonlin-ear
.x
	Q1/03	SJ 3(1):71--80					 (no commands)
	illustrates the bootstrap as an alternative method for
	estimating standard errors when the theoretical calculation
	is complicated or not available

.e SJ-3-1 pr0008
.c sj
.a N. J. Cox & U. Kohler
.t Speaking Stata: On structure & shape: the case of mult. resp.
.k data-sets set-s manage-ment reshape wide long reorganize split mult-iple
.k response-s composite var-iables concat-enation egen foreach forvalues
.k indica-tor str-ings func-tions tab-ulations
.x
	Q1/03	SJ 3(1):81--99					 (no commands)
	discussion of data manipulations for multiple response data

.e SJ-3-1 gn0005
.c sj
.a J. McGready
.t Review of Hills and De S