a) the variable CAPIN b) the variable RD is not of the p-value of the CAPIN variable is the RD variable is is not associated with the firm's productivity because the magnitude higher lower higher lower than the significance level; associated with the firm's productivity because the p-value of than the significance level.
a) the variable CAPIN b) the variable RD is not of the p-value of the CAPIN variable is the RD variable is is not associated with the firm's productivity because the magnitude higher lower higher lower than the significance level; associated with the firm's productivity because the p-value of than the significance level.
Chapter1: Making Economics Decisions
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Economics Help: Please see attached. Screenshot 1 is the context and screenshot 2 is the drop downs. I just need the answer to the drop downs please

Transcribed Image Text:A researcher is investigating the determinants of firm labour productivity using data for the year 2014 for a
sample of manufacturing firms from the electronics industry. She uses the following model:
LP = bo + b₁ x CAPIN - b₂ x W + b3 x SIZE + b₂ x RD
where:
LP is the firm's labour productivity (measured as turnover per employee, in €000s);
CAPIN is the firm's capital intensity (measured as total assets per employee, in €000s);
W is the firm's average wage per employee, in €000s;
SIZE is an indicator of the size of the firm (measured by the log of its turnover, in €000s);
RD is the firm's R&D intensity (measured as the firm's R&D expenditure divided by its turnover), an indicator
of how innovative the firm is.
The results of the estimation are:
Variables
CAPIN
W
SIZE
RD
Constant
Coefficients
0.364
1.333
3.237
-21.982
19.039
Standard
Errors
0.014
0.428
5.822
11.867
61.513
Note: The researcher is using a 5% significance level.
t-values
25.990
3.110
0.560
-1.850
0.310
p-values
0.000
0.002
0.579
0.066
0.757

Transcribed Image Text:a) the variable CAPIN
b) the variable RD
is not
is
of the p-value of the CAPIN variable is
the RD variable is
is not
is
associated with the firm's productivity because the magnitude
higher
lower
higher
lower
than the significance level;
associated with the firm's productivity because the p-value of
than the significance level.
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