LinCombMatrix: Creation of linear combination matrices

In CalibrateSSB: Weighting and Estimation for Panel Data with Non-Response

Description

Create matrices for changes (LagDiff), means (Period) and mean changes (PeriodDiff).

Usage

LinCombMatrix(
  n,
  period = NULL,
  lag = NULL,
  k = 0,
  takeMean = TRUE,
  removerows = TRUE,
  overlap = FALSE
)

LagDiff(n, lag = 1, removerows = TRUE)

Period(
  n,
  period = 1,
  k = 0,
  takeMean = TRUE,
  removerows = TRUE,
  overlap = FALSE
)

PeriodDiff(
  n,
  period = 1,
  lag = period,
  k = 0,
  takeMean = TRUE,
  removerows = TRUE,
  overlap = FALSE
)

Arguments

n	Number of variables
period	Number of variables involved in each period
lag	Lag used for difference calculation
k	Shift the start of each period
takeMean	Calculate mean over each period (sum when FALSE)
removerows	Revove incomplete rows
overlap	Overlap between periods (moving averages)

Value

Linear combination matrix

Note

It can be useful to add row names to the resulting matrix before further use.

Examples

# We assume two years of four quarters (n=8)

# Quarter to quarter differences
LagDiff(8)

# Changes from same quarter last year
LagDiff(8,4)

# Yearly averages
Period(8,4)

# Moving yearly averages
Period(8,4,overlap=TRUE)

# Difference between yearly averages
PeriodDiff(8,4) # Also try n=16 with overlap=TRUE/FALSE

# Combine two variants and add row names
lc = rbind(LagDiff(8,4),PeriodDiff(8,4))
rownames(lc) = c("diffQ1","diffQ2","diffQ3","diffQ4","diffYearMean")
lc

CalibrateSSB documentation built on Aug. 5, 2020, 1:07 a.m.