WebFeb 17, 2024 · 28. TL;DR: The minimum sample size per cluster in a mixed-effecs model is 1, provided that the number of clusters is adequate, and the proportion of singleton cluster is not "too high". Longer version: In general, the number of clusters is more important than the number of observations per cluster. With 700, clearly you have no problem there. WebWARNING: Singleton observations not dropped; statistical significance is biased (link) (MWFE estimator converged in 2 iterations) HDFE Linear regression Number of obs = …
st: RE: xtivreg2 and singleton-cases - Stata
WebDec 19, 2024 · Why do you drop observations where one fixed effect is a singleton category, here? I am running a regression of wage on worker and firm fixed effects. Dropping all singletons is an overkill here, and just making sure the sample is a connected set is enough. Maybe introduce an argument to reg that can switch this off? Web情况一,企业只有单年观测值( singleton ),也就是说,某企业在1998-2013年这16年的观测区间内只有一年观测值。 对于这种样本, Exit 的取值情况不影响回归结果,因为在参与回归时单年观测值将被自动剔除(除非强行不剔除,如 reghdfe 命令下使用 keepsingletons ... toothpaste on minor burns
Minimum sample size per cluster in a random effect model
WebThe study design is longitudinal with the hierachical structure of observations (L1) nested into study participants (L2). I have 215 participants and the number of observations for each participant range from 1 to 5, for a total of 749 observations. Specifically, I have 43 singleton clusters (i.e., participants with one observation only). WebNov 15, 2024 · Remember that the assumption of the clustered-standard errors sandwich estimator is infinite groups with finite observations within groups (see Cameron & Trivedi (2005) p. 706-707. So, approach 3 seems least problematic when the number of groups is large and the number of observations missing group information is small. WebSingleton groups—groups with only one observation—are common in regressions with ... In this case, dropping singleton groups not only removes ... 15 … physio vlotho