asym_gee: Asymmetric effects models fit with GEE

In panelr: Regression Models and Utilities for Repeated Measures and Panel Data

Asymmetric effects models fit with GEE

Description

Fit "within-between" and several other regression variants for panel data via generalized estimating equations.

Usage

asym_gee(
  formula,
  data,
  id = NULL,
  wave = NULL,
  cor.str = c("ar1", "exchangeable", "unstructured"),
  use.wave = FALSE,
  wave.factor = FALSE,
  min.waves = 1,
  family = gaussian,
  weights = NULL,
  offset = NULL,
  ...
)

Arguments

formula	Model formula. See details for crucial info on panelr's formula syntax.
data	The data, either a panel_data object or data.frame.
id	If data is not a panel_data object, then the name of the individual id column as a string. Otherwise, leave as NULL, the default.
wave	If data is not a panel_data object, then the name of the panel wave column as a string. Otherwise, leave as NULL, the default.
cor.str	Any correlation structure accepted by geepack::geeglm(). Default is "ar1", most useful alternative is "exchangeable". "unstructured" may cause problems due to its computational complexity.
use.wave	Should the wave be included as a predictor? Default is FALSE.
wave.factor	Should the wave variable be treated as an unordered factor instead of continuous? Default is FALSE.
min.waves	What is the minimum number of waves an individual must have participated in to be included in the analysis? Default is 2 and any valid number is accepted. "all" is also acceptable if you want to include only complete panelists.
family	Use this to specify GLM link families. Default is gaussian, the linear model.
weights	If using weights, either the name of the column in the data that contains the weights or a vector of the weights.
offset	this can be used to specify an a priori known component to be included in the linear predictor during fitting. This should be NULL or a numeric vector of length equal to the number of cases. One or more offset terms can be included in the formula instead or as well, and if more than one is specified their sum is used. See model.offset.
...	Additional arguments provided to geepack::geeglm().

Details

See the documentation for wbm() for many details on formula syntax and other arguments.

Value

An asym_gee object, which inherits from wbgee and geeglm.

Author(s)

Jacob A. Long

References

Allison, P. D. (2019). Asymmetric fixed-effects models for panel data. Socius, 5, 1-12. https://doi.org/10.1177/2378023119826441

McNeish, D. (2019). Effect partitioning in cross-sectionally clustered data without multilevel models. Multivariate Behavioral Research, Advance online publication. https://doi.org/10.1080/00273171.2019.1602504

McNeish, D., Stapleton, L. M., & Silverman, R. D. (2016). On the unnecessary ubiquity of hierarchical linear modeling. Psychological Methods, 22, 114-140. https://doi.org/10.1037/met0000078

Examples

if (requireNamespace("geepack")) {
  data("WageData")
  wages <- panel_data(WageData, id = id, wave = t)
  model <- asym_gee(lwage ~ lag(union) + wks, data = wages)
  summary(model)
}

panelr documentation built on Aug. 22, 2023, 5:08 p.m.