Table 2

Effect of services export concentration on services export volatility in HICs and LDCs

Estimator: Two-step system GMM

VariablesLog(SEXPVOL)
(1)
Log(SEXPVOL)t-10.0377*** (0.00660)
SERVCONC0.00514*** (0.000658)
SERVCONC*HIC−0.00380*** (0.000815)
SERVCONC*LDC−0.00275* (0.00142)
LDC0.136* (0.0826)
HIC0.425*** (0.0860)
PRODCONC0.00206*** (0.000253)
Log(OPENSW)0.0460*** (0.0124)
Log(GDPC)−0.220*** (0.0269)
FINDEV−0.000364 (0.000317)
Log(INFLVOL)−0.0400*** (0.0123)
Log(GRVOL)0.194*** (0.0229)
FINOPEN−0.00137*** (0.000380)
Log(POP)0.0346** (0.0171)
Constant3.876*** (0.475)
Observations - Countries591–152
Number of instruments148
AR1 (p-Value)0.0000
AR2 (p-Value)0.5289
AR3 (p-Value)0.6962
Sargan (p-Value)0.2703

Note(s): *p-value < 0.1; **p-value < 0.05; ***p-value < 0.01. Robust standard errors are in parenthesis. In the two-step system GMM estimations, the variables “SERVCONC”, “PRODCONC”, “FINDEV”, “INFLVOL”, “GRVOL”, “GDPC”, “OPENSW”, “OPEN”, “FINOPEN” and the interaction variables have been considered as endogenous. Time dummies have been included in all regressions. The latter have used a maximum of 5 lags of the dependent variables as instruments and a maximum of 2 lags of endogenous variables as instruments

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