Table 4

Heteroscedastic probit and random effects probit model results of foreign and PCN manager appointment in foreign-owned firms in Slovenia

(1)(2)(3)(4)(5)(6)(7)
MgrForeign heteroscedastic probitMgrForeign heteroscedastic probitMgrForeign RE probitMgrPCN heteroscedastic probitMgrPCN heteroscedastic probitMgrPCN
RE probit
MgrPCN
RE probit (lim.export)
Firm-specific factors
lnAge−0.132***−0.101**−0.149***−0.084*−0.045−0.048−0.040
[−0.008]***[−0.006]**[−0.006]***[−0.003]*[−0.002][−0.001][−0.001]
(0.037)(0.041)(0.058)(0.045)(0.052)(0.075)(0.118)
lnSize (−1)0.281***0.277***0.221***0.253***0.242***0.116***0.208***
[0.010]***[0.010]***[0.009]***[0.004]***[0.004]***[0.003]***[0.006]***
(0.025)(0.027)(0.033)(0.039)(0.039)(0.042)(0.067)
ExPropensity (−1)0.210**0.260***0.374***0.181*0.248**0.362**/
[0.013]***[0.015]***[0.015]***[0.007]*[0.009]**[0.009]** 
(0.082)(0.090)(0.122)(0.098)(0.111)(0.154) 
OutwardFDI (−1)−0.079−0.145−0.134−0.223**−0.311**−0.302−0.797
[−0.005][−0.008][−0.005][−0.009]*[−0.012]**[−0.008][−0.024]
(0.085)(0.093)(0.152)(0.126)(0.144)(0.226)(0.644)
Host market structure factors
lnTFPlocal (−1)−0.111−0.093−0.147−0.206**−0.223**−0.307*−0.775*
[−0.007][−0.005][−0.006][−0.008]**[−0.008]**[−0.008]*[−0.023]*
(0.083)(00.930)(0.149)(0.093)(0.096)(0.167)(0.417)
HighTech0.5570.3550.7161.103*1.1551.823*3.227***
[0.035][0.021][0.029][0.045]*[0.043][0.047]*[0.095]***
(0.603)(0.665)(1.013)(0.672)(0.724)(1.056)(1.046)
lnMaketrSize (−1)0.0220.0180.0680.0800.0830.169*0.330**
[0.001][0.001][0.003][0.003][0.003][0.004]*[0.010]**
(0.049)(0.054)(0.071)(0.060)(0.064)(0.090)(0.146)
lnNoLocalFirms(−1)−0.064−0.061−0.089−0.092−0.092−0.168**−0.310***
[−0.004][−0.004][−0.004][−0.004][−0.003][−0.004]**[−0.009]***
(0.041)(0.047)(0.063)(0.057)(0.062)(0.076)(0.107)
IndMarkup (−1)0.23e−40.28e−40.44e−40.35e−40.43e−4*0.60e−4*2.9e−5
[1.5e−6][1.6e−6][1.8e−6][1.4e−6][1.6e−6][1.6e−6][8.6e−7]
(0.000)(0.000)(0.000)(0.000)(0.000)(0.000)(7.38e−5)
Country-specific factors
lndist −0.088−0.135 −0.003−0.124−0.431
 [−0.005][−0.005] [−0.0001][−0.003][−0.013]
 (0.168)(0.235) (0.226)(0.307)(0.646)
dist_c_pdi −0.009**−0.013** −0.011***−0.011−0.023*
 [−0.001]**[−0.001]** [−0.0004]***[−0.0003][−0.001]*
 (0.004)(0.006) (0.004)(0.007)(0.012)
dist_c_idv −0.004−0.009 −0.002−0.003−0.004
 [0.0002][−0.0004] [0.0001][0.0001][0.0001]
 (0.005)(0.006) (0.006)(0.009)(0.023)
dist_c_mas −0.004−0.005 0.0030.0060.006
 [−0.0002][−0.0002] [0.0001][0.0002][0.0002]
 (0.003)(0.004) (0.003)(0.007)(0.014)
dist_c_uai 0.0070.010 0.002−0.0020.004
 [0.0004][0.0004] [0.0001][−0.0001][0.0001]
 (0.005)(0.007) (0.006)(0.009)(0.021)
dist_c_ltovs −0.010**−0.014** −0.013**−0.018**0.5e−3
 [−0.001]**[−0.001]** [−0.001]**[−0.001]**[0.0000]
 (0.005)(0.006) (0.006)(0.008)(0.016)
dist_c_ivr −0.009−0.012 −0.007−0.009−0.029
 [−0.001][−0.0005] [0.0002][−0.0002][−0.0001]
 (0.008)(0.013) (0.012)(0.017)(0.042)
dEU120.1590.2750.214−0.068−0.096−0.3610.162
[0.010][0.021][0.011][−0.002][−0.003][−0.005][0.008]
(0.141)(0.237)(0.281)(0.251)(0.320)(0.426)(0.502)
dEFTA−0.0730.0410.079−0.361−0.236−0.338/
[−0.003][0.002][0.004][−0.006]**[−0.005][−0.005] 
(0.112)(0.138)(0.209)(0.259)(0.289)(0.393) 
dWBalkan0.405***−0.270−0.5660.550***0.1250.442−0.593
[0.033]***[−0.011][−0.016][0.034]***[0.005][0.013][−0.013]
(0.081)(0.372)(0.543)(0.094)(0.361)(0.650)(1.097)
dFSU1.068***1.336***1.624***1.202***1.444**1.743**2.371
[0.170]***[0.251]*[0.206]*[0.165]***[0.229][0.163][0.376]
(0.147)(0.402)(0.546)(0.146)(0.578)(0.793)(2.052)
dMiddle_east0.3230.142−0.0490.599*0.5720.7321.071
[0.024][0.009][−0.002][0.040][0.037][0.029][0.082]
(0.348)(0.388)(0.736)(0.339)(0.352)(0.833)(1.146)
dNAfrica1.410***//1.430***///
[0.287]***  [0.241]**   
(0.361)  (0.379)   
dNorthAmerica0.0700.3030.514−0.151−0.130−0.4090.484
[0.004][0.024][0.032][−0.003][−0.003][−0.006][0.026]
(0.143)(0.375)(1.533)(0.189)(0.473)(0.720)(1.338)
dCentralAmerica0.515**///// 
[0.048]      
(0.210)      
dRestOfAsia0.835***1.046**1.235*1.068***1.0591.3752.178
[0.108]***[0.161][0.126][0.127]***[0.119][0.097][0.318]
(0.163)(0.488)(0.660)(0.174)(0.696)(0.963)(2.146)
dSEAsia0.930*0.2110.335////
[0.131][0.015][0.018]    
(0.549)(0.713)(0.979)    
Constant−2.121**−0.714−1.196−3.140***−2.683−5.132*−3.233
(0.915)(1.663)(2.119)(1.102)(2.015)(2.693)(4.807)
Year dummiesyesyesyesyesyesyesyes
Industry dummiesyesyesyesyesyesyesyes
Observations10,4529,4139,4139,2628,1608,1603,268
Log (pse.)likelihood−1032.615−870.9817−859.0587−588.6372−483.9481−481.9065−194.7968
Wald test//χ2(75) = 174.07***χ2 (56) = 829.36***χ2(57) = 791.93***χ2(57) = 132.72***χ2(37) = 85.63***
Wald’s test for heteroscedasticity. H0: lnsigma2 0
lnsigma2−0.087***−0.072***/−0.113***−0.094***//
lnemp(−1)(0.029)(0.028)(0.032)(0.029)
χ2(1)9.20***6.62*** 12.22***10.91***  
Likelihood-ratio test; rho 0:χ2(1) (Prob > χ2)
 //28.68***//10.07***0.43

Note(s): Marginal effects (dydx) in square brackets, robust std. err. in round brackets, adjusted for firm level clusters; ***p < 0.01, **p < 0.05, *p < 0.1

Source(s): Authors’ own work, based on data provided by the Statistical Office of the Republic of Slovenia, the Bank of Slovenia, and the Agency of the Republic of Slovenia for Public Legal Records and Related Service

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