- A Researcher Is Investigating The Determinants Of Fimm Labour Productivity Using Data For The Year 2014 For A Sample Of 1 (53.81 KiB) Viewed 96 times
A researcher is investigating the determinants of fimm labour productivity using data for the year 2014 for a sample of
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A researcher is investigating the determinants of fimm labour productivity using data for the year 2014 for a sample of
A researcher is investigating the determinants of fimm labour productivity using data for the year 2014 for a sample of manufacturing firms from the metal products industry. She uses the following model: LP = b + b * CAPIN - by * W + b3 * SIZE + b4 * RD where: LP is the firm's labour productivity (measured as turnover per employee, in 6000s): 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 6000s); 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. Select the terms from the drop down lists to complete the sentences below correctly: From the results of the estimation we can conclude that: a) the variable CAPIN associated with the firm's productivity because the magnitude of the p-value of the CAPIN variable is than the significance The results of the estimation are: level; Variables Coefficients Standard t- P- b) the variable RD associated with the firm's Errors values values productivity because the p-value of the RD variable is than the significance level. CAPIN 1.017 0.177 5.750 0.000 3 0.097 1.334 0.070 0.942 SIZE 16.031 10.741 1.490 0.141 RD -1185.660 704.194 -1.680 0.098 Constant -117.973 117.147 -1.010 0.318 Note: The researcher is using a 10% significance level.