The name is absent

Table A1. Comparison of coefficient of production function estimations LP vs. OLS.

Coefffrom LP regressions

Drugs & Pharma

Electronic & Electrical
Goods

Garm. & Tex.

Lw

0.159***

0.104

0.042***

Lb

0.063*

0.074

0.036**

Lk

0.034

0.013

0.050

Lm

0.487**

0.968***

0.761***

Le

0.080**

0.047

0.108***

Coefffrom OLS regressions

Lw

0.163***

0.132***

0.051*

Lb

0.068***

0.038

0.036**

Lk

0.024

0.013

0.032**

Lm

0.671***

0.852***

0.761***

Le

0.092***

0.082**

0.109***

Change in lw coeff

-

-

-

Change in lb coeff

-

+

0

Change in lk coeff

+

0

+

Change in lm coeff

-

+

+

Change in le coeff

-

-

-

Observations

195

118          ~

372          '

Output

deflated sales from the balance sheet

Labour

“White” and “Blue”, for each category it represents the average hours worked in one year by each
employees then multiplied by the number of employees belonging to each cathegory. In particular
“white” collar workers (skilled) represents manager and professionals and “blue” collar workers
identify the production and the non production, unskilled workers.

Capital

net book value from balance sheet

Material

deflated cost of material inputs excluding fuel, from balance sheet.

Energy

deflated cost for energy consumption (including electricity and fuel) from balance sheet.

Deflators

Wholesale Price Index (Source office of the Economic Adviser, Ministry of Commerce & Industry)

Capital Intensity

Net book value of capital /number of employees

Sh. of Sk. Workers

Number of white collar workers/blue collar workers

Age of mach

Average age of machineries

Employment

Number of employees

Average Wage

Total wage bill/ number of employees