fig 8 employment growth by firm age

[andrasvereckei]

Increase employment number depending on the firm age

• Depends on the first 5 year max number
• Cat. definitions are in fig 1 Firms by year by category #2

@generate growth = emp / max_emp_5
@collapse mean_growth = mean(growth), by(firmage, categ)

"Létszám növekedése az életkor függvényében
az első 5 év max létszámához képest
kategóriánként "

[andrasvereckei]

https://github.com/ceumicrodata/firms/blob/main/output/fig/mean_growth.png

[andrasvereckei]

Firmage is counted on all data with only so firms in the 1980-s.
age_in_balance counted by categorize_size when all state owned firms dropped for all years.

If we use age_in_balance for counting max_emp_5 first five year peak disappears from the graph.

    @egen first_balance = minimum(year), by(frame_id_numeric)
    @generate age_in_balance = year - first_balance + 1
    @egen max_emp_5 = maximum(cond(age_in_balance <= 5, emp, 0)), by(frame_id_numeric)
    @generate growth = emp / max_emp_5

[andrasvereckei]

We can redefine mean_growth categories.
Now the firms can jump in and out year by year from categorize_size.
Wouldn't it be better to follow firm level mean growth?

[andrasvereckei]

Settings:

• Used categorize_size(df) == @drop @if ownership == "state".
  We can use categorize_all(df) if we want to start age_in_balance before 1990.
• Used age_in_balance in max_emp_5
• First five years in almost constant because of the max_emp_5. Maybe drop it?
• The graphs after year 29 seems weird. FIXME

output/fig/mean_growth.png