分析：由BLR一阶差分自相关图和偏自相关图，自相关图的短期（阶数为5期），自相关系数衰减快，具有短期自相关性，表现为拖尾。除了延迟4期和14期跳出阴影图，其余均落在2倍标准误范围内，绕零值做上下不超过0.2的波动。偏自相关图的短期（阶数为5期），自相关系数衰减快，具有短期自相关性，表现为拖尾。除了延迟4期、14期和18期跳出阴影图，其余均落在2倍标准误范围内，绕零值做上下不超过0.1的波动

Fleurs

You're getting an error when delta=c(0,1) because parameters cannot be set on a boundary

So the first state seems not to honor the given initial distribution, because the first sequence starts from state 2 instead of state 1.

served as director during the indicated fiscal year

Only salary statements from a sponsor will be accepted.

Incoming J-1 Exchange Students

bank statements

Tuition Insurance

Once you enroll in classes

just the means that are shown when you print the model

Note that if we added a random slope, the number of rows in Z would remain the same, but the number of columns would double.

.878

the 20th, 40th, 60th, and 80th percentiles

remission

GLMM

Note that we call this a probability mass function rather than probability density function because the support is discrete (i.e., for positive integers).

We could also frame our model in a two level-style equation

The final element in our model is the variance-covariance matrix of the residuals

Because we directly estimated the fixed effects, including the fixed effect intercept, random effect complements are modeled as deviations from the fixed effect, so they have mean zero

To my knowledge there is no way to "fit the HMM in parallel".

size (i.e. number of trials)

389.25

The superscript (-1)

We say the first subset participated in a trail, and that Si=1Si=1S_i = 1, and the second did not: Si=0Si=0S_i = 0.

RCT

一旦获得了 _weight 变量，就相当于对样本的匹配情况进行了标记，我们可以直接在 regress 命令后附加加 fweight = _weight 进行样本匹配后的回归。其中，fweight 为「frequency weights」的简写，是指观测值重复次数的权重。若是 1:2 重复匹配，成功匹配的处理组 _weight = 2 / 2，成功匹配的控制组 _weight = 参与匹配次数 / 2，即都要除以 2 进行标准化。因此，若想继续使用 fweight 选项，需要 _weight * 2 转化为频数。

Replace all NaN elements in column ‘A’, ‘B’, ‘C’, and ‘D’, with 0, 1, 2, and 3 respectively.

Correction:

通常在使用xtreg, fe命令时（即控制了企业层面的个体固定效应），如果再控制行业或者区域就会出现多重共线性的问题，会被stata自动drop掉，因为企业层面的个体固定效应已经包含了行业或者区域固定效应。

那为什么reghdfe可以同时控制这三者（即企业、地区、行业）并且不提示共线性的问题？（虽然结果是与xtreg, fe命令一致的）。

4、Wallhaven