plm

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Is there a predict function for plm in R?

I have a small N large T panel which I am estimating via plm::plm (panel linear regression model), with fixed effects.[详细]

2023-03-29 01:58 分类：问答
F-test on Fixed Effects in R (Panel Data)

I am trying to do an F-test on the joint significance of fixed effects (individual-specific dummy variables) on a panel data OLS regression (in R), however I haven\'t found a way to accomplish this fo[详细]

2023-03-09 07:19 分类：问答
What's the best way to turn a POSIX datefield into some time index that is accepted by plm?

I trying out the plm package for some first difference estimation in R. As stated in the title I wonder how I can turn my POSIX dates like \"2002-10-01\" into values that are understood by pl开发者_如[详细]

2023-02-08 09:47 分类：问答
Heteroscedasticity robust standard errors with the PLM package

I am trying to learn R after using Stata and I must say that I love it. But now I am having some trouble. I am about to do some multiple regressions with Panel Data so I am using the plm package.[详细]

2023-01-30 14:52 分类：问答
F-test with plm-model

I want to make a f-test to a plm-model and test for model <- plm(y ~ a + b) if # a = b and # a = 0 and b = 0[详细]

2023-01-29 08:18 分类：问答
Panel data: dealing with lagging and binary dependent variable with plm

I am attempting to run a pooled logi开发者_运维百科stic regression with panel data and a binary dependent variable.Since I wanted to lag some of the variables, I used the plm package to create them.Wh[详细]

2023-01-09 10:38 分类：问答
Panel data with binary dependent variable in R

I开发者_如何学Gos it possible to do regressions in R using a panel data set with a binary dependent variable? I am familiar with using glm for logit and probit and plm for panel data, but am not sure[详细]

2022-12-29 15:23 分类：问答
Generating a lagged time series cross sectional variable in R

I am a new R user.I have a time series cross sectional dataset and, a开发者_开发知识库lthough I have found ways to lag time series data in R, I have not found a way to create lagged time-series cross[详细]

2022-12-15 12:22 分类：问答