fig 7 chances of survival according to the company's age

[andrasvereckei]

Chances of survival according to the company's age

• Divide by fo3 do3
• Cat. definitions are in fig 1 Firms by year by category #2

@collapse n_firms = rowcount(distinct(frame_id)), by(firmage, categ)
@egen max_n = max(cond(firmage == 0, n_firms, 0)), by(categ)
@generate survival = 100 * n_firms / max_n

"fo3 vs do3
kezdeti méretkategória
esetleg megbontva belépési kohorsz (foundyear) szerint
"

[andrasvereckei]

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

[andrasvereckei]

<style> </style>

ta year if category =="medium domestic" & age_in_balance ==1

year	Freq.	Percent	Cum.
1990	2,817	44.39	44.39
1991	487	7.67	52.06
1992	371	5.85	57.91
1993	464	7.31	65.22
1994	310	4.88	70.11
1995	199	3.14	73.24
1996	146	2.3	75.54
1997	117	1.84	77.39
1998	93	1.47	78.85
1999	114	1.8	80.65
2000	100	1.58	82.23
2001	115	1.81	84.04
2002	75	1.18	85.22
2003	65	1.02	86.24
2004	72	1.13	87.38
2005	78	1.23	88.61
2006	71	1.12	89.73
2007	70	1.1	90.83
2008	45	0.71	91.54
2009	53	0.84	92.37
2010	44	0.69	93.07
2011	58	0.91	93.98
2012	21	0.33	94.31
2013	64	1.01	95.32
2014	33	0.52	95.84
2015	33	0.52	96.36
2016	40	0.63	96.99
2017	32	0.5	97.49
2018	46	0.72	98.22
2019	26	0.41	98.63
2020	26	0.41	99.04
2021	30	0.47	99.51
2022	31	0.49	100
Total	6,346	100

<style> </style>

ta year if category =="medium domestic" & age_in_balance ==2

1991	2,701	38.36	38.36
1992	473	6.72	45.07
1993	427	6.06	51.14
1994	511	7.26	58.39
1995	336	4.77	63.16
1996	229	3.25	66.42
1997	187	2.66	69.07
1998	175	2.49	71.56
1999	122	1.73	73.29
2000	187	2.66	75.94
2001	117	1.66	77.61
2002	138	1.96	79.57
2003	87	1.24	80.8
2004	84	1.19	81.99
2005	81	1.15	83.14
2006	99	1.41	84.55
2007	96	1.36	85.91
2008	100	1.42	87.33
2009	72	1.02	88.36
2010	72	1.02	89.38
2011	78	1.11	90.49
2012	73	1.04	91.52
2013	52	0.74	92.26
2014	65	0.92	93.18
2015	61	0.87	94.05
2016	66	0.94	94.99
2017	47	0.67	95.65
2018	77	1.09	96.75
2019	78	1.11	97.86
2020	50	0.71	98.57
2021	46	0.65	99.22
2022	55	0.78	100
Total	7,042	100

[andrasvereckei]

@korenmiklos
The number of medium domestic firms are bigger in age_in_balance ==2 then age_in_balance ==1.
The reason is the first year == 1990. In the first year lots of these firms were large domestic firms.
In the second year in 1991 they become medium domestic firms.

Two possible way:

• Change first year definition in function panel(df::AbstractDataFrame)
• Examine firms within size category.
  Change

  firms/src/functions.jl

  Line 96 in 4575bf1

  @egen max_n = maximum(cond(age_in_balance == 1, n_firms, 0)), by(category)

  
  someting was medium for 5/10 years.

[andrasvereckei]

Foreign firms are at the bottom of the figure.
Seems strange. FIXME

https://raw.githubusercontent.com/ceumicrodata/firms/b05699af05d8a828e77d9dc9d8fa0048679ffedc/output/fig/survival.png

[korenmiklos]

foreign should also be held constant after the first fix years. something ***@***.*** ever_foreign = maximum(foreign), by(frame_id)On 2024. Nov 19., at 11:55, andrasvereckei ***@***.***> wrote: Foreign firms are at the bottom of the figure. Seems strange. FIXME https://raw.githubusercontent.com/ceumicrodata/firms/b05699af05d8a828e77d9dc9d8fa0048679ffedc/output/fig/survival.png —Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you were mentioned.Message ID: ***@***.***>

[andrasvereckei]

foreign should also be held constant after the first fix years. something @.*** ever_foreign = maximum(foreign), by(frame_id)On 2024. Nov 19., at 11:55, andrasvereckei @.> wrote: Foreign firms are at the bottom of the figure. Seems strange. FIXME https://raw.githubusercontent.com/ceumicrodata/firms/b05699af05d8a828e77d9dc9d8fa0048679ffedc/output/fig/survival.png —Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you were mentioned.Message ID: @.>

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