fit SFA models on panel data
1 2 | panel.sfa.fit(y, X, K = NULL, ineff = -1L, spec = c("css90"),
deb = F, debll = F)
|
y |
- dependent variable (typically log of total product or cost) |
X |
- explanatory variables (typically log of inputs or translog form) |
K |
- matrix of panel data indeces |
ineff |
- -1L/1L for production/cost inefficiency |
spec |
- panel data model specification (currently only CSS, 1990) |
deb |
- debug option |
debll |
- debug option for log-likelohood functions |
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