CalibrateSSBpanel2: Calibration weighting and variance estimation for panel data

In statisticsnorway/metodebibliotek_testing: SSBs library for method functions

Description

The function is similar to CalibrateSSBpanel but rewritten since the advanced original code is problematic to re-export. Output is combined into a data frame. The function combines CalibrateSSB, WideFromCalibrate and PanelEstimation into a single function.

Usage

CalibrateSSBpanel2(
  data,
  ...,
  numerator,
  denominator = NULL,
  linComb = NULL,
  linComb0 = NULL,
  estType = "robustModel",
  leveragePower = 1/2,
  group = NULL,
  returnCov = FALSE,
  usewGross = TRUE
)

Arguments

data	The gross sample data frame
...	Further arguments to CalibrateSSB including variables needed by WideFromCalibrate
numerator	Argument to PanelEstimation
denominator	Argument to PanelEstimation
linComb	Argument to PanelEstimation
linComb0	Argument to PanelEstimation
estType	Argument to PanelEstimation
leveragePower	Argument to PanelEstimation
group	Argument to PanelEstimation
returnCov	Argument to PanelEstimation
usewGross	Argument to PanelEstimation

Value

Output from PanelEstimation combined into a data frame

Examples

z    <- AkuData(3000)  # 3000 in each quarter
zPop <- AkuData(10000)[,1:7]
lc <- rbind(CalibrateSSB::LagDiff(8,4),CalibrateSSB::PeriodDiff(8,4))
rownames(lc) <- c("diffQ1","diffQ2","diffQ3","diffQ4","diffYearMean")
CalibrateSSBpanel2(z, calmodel="~ sex*age", partition=c("year","q"), popData=zPop, 
       y=c("unemployed","workforce"), id="id", wave=c("year","q"),
       numerator="unemployed", linComb=lc)
       

statisticsnorway/metodebibliotek_testing documentation built on Jan. 21, 2022, 9:24 p.m.