Table 5.

Mixed-effects ML regression with China dummy

Geo_dist_weightedCoefficientStandard errort-valuep-value95% ConfIntervalSignificance
is_China1,760.361,404.751.250.21−992.894,513.61
z_GDP_host2,030.67144.6814.040.001,747.092,314.24***
z_GDPgrowth_host−272.7052.82−5.160.00−376.23−169.18***
z_fuel_exports_host59.1650.551.170.24−39.91158.24
z_ore_metal_export∼t333.0146.907.100.00241.08424.94***
z_patents_host−897.25136.20−6.590.00−1,164.20−630.30***
z_host_productivity991.3675.2913.170.00843.791,138.930***
z_ling_dist−217.8667.54−3.230.00−350.23−85.48***
z_colony36.9357.380.640.52−75.54149.39
z_polity2−143.25185.86−0.770.44−507.52221.03
z_financialstructure−81.9093.85−0.870.38−265.84102.04
z_home_productivity−725.22176.09−4.120.00−1,070.35−380.09***
z_RLE_home417.84178.802.340.0267.39768.28**
Constant5,290.56326.7016.190.004,650.245,930.87***
Random-effects parameters
Source country1,635,566.80615,820.95ICC: 0.16 (SE 0.05)781,943.273,421,064.80
Firm3,322,862.90231,652.34ICC: 0.49 (SE: 0.04)2,898,485.803,809,374.50
Residual5,202,024.80182,891.594,855,635.505,573,124.80
Mean dependent var6,151.33SD dependent var4,331.10
Number of observations4,088Chi-square1,688.08
Prob > chi20.00Akaike crit. (AIC)76,577.38
Note(s):

***p < 0.01, **p < 0.05 and *p < 0.10

Source(s): Authors’ own work

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