SAR与SEM模型估计用到的命令均为spatreg,spatreg语法格式为:spatreg varlist , weights(weights_matrix) eigenval(eigen_matrix) model(lag|error) [ nolog robust level(#) ] 其中,weights(weights_matrix) is always required. It specifies the name of the spatial weights matrix to be used in the estimatio...
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Random-effects model Iterative methods: REML, MLE, and empirical Bayes Noniterative methods: DerSimonian–Laird, Hedges, Sidik–Jonkman, and Hunter–Schmidt Knapp–Hartung standard-error adjustment Prediction intervals Sensitivity analysis: User-specified values for heterogeneity parameters tau2 and I2 ...
xthenreg hour bmiifregion==1, endo(bmi) exo(hsize) inst(bweight bmic bmim bmid) kinkstatic Next we consider discontinuity in BMI eect without imposing a kink in the model. By taking rst difference, we obtain the following model and estimate it with only static option. xthenreg hour b...
交叠DID模型是一类常见DID模型。下载包: ssc install did_multiplegt, replace 注意,did_multiplegt发生更新,现在区分为四个函数: did_multiplegt_dyn did_multiplegt_stat did_had did_multiplegt_old 本文聚焦交叠DID模型的应用案例及其绘图代码,供科研和教学参考。
接下来的是对 x 进行 permute 500 次【命令中的 permute x 和 option 里面的 reps(500) 】,每次都是对同一家公司不同年份进行 permute 【option 里面的 strata(code)】,这样就不会把 A 公司的数据给了 B 公司(不然就搞得和安慰剂检验差不多了)。最终的目的是对 x 的系数进行估计【命令中的 beta=_b[...
i(varlist) is required j(varname [values]) long → wide: varname, existing variable wide → long: varname, new variable takes a variable name or a variable name and a list of values */ 示例1:快速上手 代码语言:javascript 代码运行次数:0 ...
S456962 RRREG: Stata module to estimate linear probability model for randomized response data by Ben Jann S456961 CI_MARG_MU: Stata module to produce simulation-based confidence intervals after gllapred by Sophia Rabe-Hesketh S456960 INEQRBD: Stata module to calculate regression-based inequality de...
crosssectional() is a required option but can be substituted by nocrosssectional. If cr(..., cr_lags()) is used, then the global option cr_lags() (see below) is ignored. rcce[(criterion(er/gr) scale npc(integer))] implements the regularized CCE estimator from Juodis (2022). ...
miinc Module to conduct multi-model inference using information criteria mim Module to analyse and manipulate multiply imputed datasets mimrgns Module to run margins after mi estimate mimstack Module to stack multiply-imputed datasets into format required by mim minap Module to calculate minimum averag...