| dynamics {dfvad} | R Documentation |
Productivity Dynamics
Description
Productivity dynamics reflect firm contributions to
productivity growth over periods when firms enter or
exit an industry. dynamics summarises a series
of decomposition methods that are centred on the contributions
from incumbents, entrants and exits. It applies to other
weighted aggregation measures analogous to aggregate productivity
as well.
Usage
dynamics(df, x, s, id, tm, typ = "df")
Arguments
df |
A data frame sorted by the time period column. |
x |
A string indicating the productivity (or analogous measures) column. |
s |
A string indicating the market share column. |
id |
A string indicating the identity column. |
tm |
A string indicating the time period column. |
typ |
Relevant types of productivity dynamics. Options include "df" for Diewert-Fox decomposition (by default), "bhc" for Baily-Hulten-Campbell, "gr" for Griliches-Regev, "fhk" for Foster-Haltiwanger-Krizan, "bg" for Baldwin-Gu, and "mp" for Melitz-Polanec. |
Value
A data frame consisting of the time period and firm contributions.
Examples
# Use the built-in data set "firms"
# DF decomposition of firm dynamics
dym_df <- dynamics(firms, "tfp", "s", "id", "t")
# BG decomposition of firm dynamics
dym_bg <- dynamics(firms, "tfp", "s", "id", "t", "bg")