Table 4 Z-scores differences pre and...

Table 4

Z-scores differences pre and post Covid-19

	DZSBIGR₁	DZSBIGR₂
intercept	−1.7978	29.0974
intercept	(0.0128)***	(0.1340)***
prefrq	0.1530	−0.2976
prefrq	(0.0011)***	(0.0017)***
postfrq	−0.0515	−0.0523
postfrq	(0.0003)***	(0.0004)***
finman	0.0259	−37.2048
finman	(0.0128)**	(0.1952)***
glocap	0.0720	–
glocap	(0.0096)***	–
indsec	0.2897	−4.1407
indsec	(0.0111)***	(0.4433)***
pubpol	0.0212	−4.6490
pubpol	(0.0112)*	(0.4833)***
busgrow	−0.0606	3.8835
busgrow	(0.0070)***	(0.3100)***
innadpn	0.0470	–
innadpn	(0.0078)***	–
zsfinman	–	−8.0415
zsfinman	–	(0.0483)***
zsglocap	–	−3.0261
zsglocap	–	(0.1660)***
zsindsec	–	−1.5023
zsindsec	–	(0.1752)***
zspubpol	–	−1.8499
zspubpol	–	(0.1779)***
zsbusgrow	–	1.5039
zsbusgrow	–	(0.1154)***
zsinnadpn	–	−2.5170
zsinnadpn	–	(0.1231)***
prefrqI	0.0128	–
prefrqI	(0.0012)***	–
prefrqII	0.0266	–
prefrqII	(0.0031)***	–
prefrqIII	0.0675	–
prefrqIII	(0.0029)***	–
prefrqIV	0.0191	–
prefrqIV	(0.0026)***	–
prefrqV	0.0161	–
prefrqV	(0.0018)***	–
prefrqVI	0.0399	–
prefrqVI	(0.0021)***	–
postfrqI	−0.0035	–
postfrqI	(0.0003)***	–
postfrqII	−0.0045	–
postfrqII	(0.0006)***	–
postfrqIII	−0.0204	–
postfrqIII	(0.0008)***	–
postfrqIV	−0.0034	–
postfrqIV	(0.0006)***	–
postfrqV	0.0023	–
postfrqV	(0.0004)***	–
postfrqVI	−0.0051	–
postfrqVI	(0.0005)***	–
L	1	–
L	(constrained)	–
var(e.DZSBIGR₁)	0.0439	–
var(e.DZSBIGR₁)	(0.0003)**	–
var(e.DZSBIGR₂)	–	13.8261
var(e.DZSBIGR₂)	–	(0.0854)

	DZSBIGR₁	DZSBIGR₂
intercept	−1.7978	29.0974
intercept	(0.0128)***	(0.1340)***
prefrq	0.1530	−0.2976
prefrq	(0.0011)***	(0.0017)***
postfrq	−0.0515	−0.0523
postfrq	(0.0003)***	(0.0004)***
finman	0.0259	−37.2048
finman	(0.0128)**	(0.1952)***
glocap	0.0720	–
glocap	(0.0096)***	–
indsec	0.2897	−4.1407
indsec	(0.0111)***	(0.4433)***
pubpol	0.0212	−4.6490
pubpol	(0.0112)*	(0.4833)***
busgrow	−0.0606	3.8835
busgrow	(0.0070)***	(0.3100)***
innadpn	0.0470	–
innadpn	(0.0078)***	–
zsfinman	–	−8.0415
zsfinman	–	(0.0483)***
zsglocap	–	−3.0261
zsglocap	–	(0.1660)***
zsindsec	–	−1.5023
zsindsec	–	(0.1752)***
zspubpol	–	−1.8499
zspubpol	–	(0.1779)***
zsbusgrow	–	1.5039
zsbusgrow	–	(0.1154)***
zsinnadpn	–	−2.5170
zsinnadpn	–	(0.1231)***
prefrqI	0.0128	–
prefrqI	(0.0012)***	–
prefrqII	0.0266	–
prefrqII	(0.0031)***	–
prefrqIII	0.0675	–
prefrqIII	(0.0029)***	–
prefrqIV	0.0191	–
prefrqIV	(0.0026)***	–
prefrqV	0.0161	–
prefrqV	(0.0018)***	–
prefrqVI	0.0399	–
prefrqVI	(0.0021)***	–
postfrqI	−0.0035	–
postfrqI	(0.0003)***	–
postfrqII	−0.0045	–
postfrqII	(0.0006)***	–
postfrqIII	−0.0204	–
postfrqIII	(0.0008)***	–
postfrqIV	−0.0034	–
postfrqIV	(0.0006)***	–
postfrqV	0.0023	–
postfrqV	(0.0004)***	–
postfrqVI	−0.0051	–
postfrqVI	(0.0005)***	–
L	1	–
L	(constrained)	–
var(e.DZSBIGR₁)	0.0439	–
var(e.DZSBIGR₁)	(0.0003)**	–
var(e.DZSBIGR₂)	–	13.8261
var(e.DZSBIGR₂)	–	(0.0854)

Note(s): Significance Levels: *p < 0.1, **p < 0.05, ***p < 0.01

DZSBIGR₁: differences of the z-scores of the significant bigrams pre and post Covid-19 DZSBIGR₂: differences between pre and post Covid-19 mention frequency zs: standardised value prefrq: Pre-Covid 19 frequency postfrq: Post-Covid 19 frequency L: Latent Variable

I: Financial Management (finman)

II: Global Capital (glocap)

III: Industrial Sectors (indsec)

IV: Public Policies (pubpol)

V: Business Growth (busgrow)

VI: Innovation Adoption (innadpn)

Source(s): Authors’ own work

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