Post-colonial trade between Russia and former Soviet republics: back to big brother?
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post sovviet trade
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- 5 Results and discussion 5.1 Static estimation results 5.2 First baseline table: trade flows
Table 4
Summary statistics Definitions of variables are in Table 9 . Country i is the exporter, and j is the importer throughout the tables Variable Observations Mean SD Min Max ln(Trade flow) 19,522 1.91 3.15 − 6.91 13.85 ln(Trade cost) 19,432 0.73 0.41 0.00 3.84 ln(GDP) 23,273 5.03 2.24 − 0.56 10.24 ln(Distance) 23,273 7.89 0.87 4.38 9.48 ln(1+Tariff) 23,273 0.03 0.05 0.00 0.79 Contiguous 23,273 0.08 0.27 0.00 1.00 RTA Between i and j 23,273 0.53 0.50 0.00 1.00 Colony 23,273 0.03 0.18 0.00 1.00 Common Language 23,273 0.04 0.19 0.00 1.00 i and j are Same Country 23,273 0.03 0.16 0.00 1.00 i and j Both Landlocked 23,273 0.43 0.49 0.00 1.00 Country Pair Group Dummies RUS j _CIS + i 23,273 0.01 0.09 0.00 1.00 RUS i _CIS + j 23,273 0.01 0.09 0.00 1.00 SIB j _SIB i 23,273 0.07 0.26 0.00 1.00 proRUS_RUS 23,273 0.005 0.076 0.00 1.00 23 The baseline estimations in Table 12 are with Poisson pseudo-maximum likelihood (PPML) on the lines of Silva and Tenreyro ( 2006 , 2011 ) and two-stage least squares. All other methods confirm the GLS results. The one exception is PPML, which provides some unexpected signs for tariffs and the colony variable but on average higher coefficient estimates. We think this is either due to inclusion of zero trade flows, or due to its nature of being a semilog type of method, while all the others are log-log. 24 Note that, since trade flows are in value terms, the coefficient on (1 + Tariff ) is an estimate of 1 + 𝜎. Economic Change and Restructuring (2021) 54:877–918 899 1 3 Table 5 Regressions with trade flows Robust standard errors in parentheses ∗∗∗ p < 0.001, ∗∗ p < 0.01, ∗ p < 0.05 . All regressions include year dummies. Columns 2–5 have exporter, importer and year dummies, while column 1 allows monadic group dummies. Variable definitions are in Table 9. i denotes exporter and j denotes importer Variables (1) (2) (3) (4) ln(Trade flow) ln(Trade flow) ln(Trade flow) ln(Trade flow) Year/country dummies Yes Yes Yes Yes ln (GDP i ) 0.14*** 0.14*** 0.14*** 0.14*** (0.037) (0.037) (0.038) (0.038) ln (GDP j ) 0.78*** 0.78*** 0.78*** 0.78*** (0.046) (0.046) (0.046) (0.046) ln(Distance) − 1.12*** − 1.03*** − 1.02*** − 1.02*** (0.081) (0.075) (0.076) (0.076) Contiguous 0.41** 0.41** 0.41** 0.42** (0.143) (0.145) (0.146) (0.146) i and j Both Landlocked − 0.76*** − 0.40* − 0.35* − 0.35* (0.191) (0.172) (0.172) (0.172) ln(1+Tariff) − 3.61*** − 3.58*** − 3.58*** − 3.58*** (0.517) (0.515) (0.515) (0.515) RTA Between i and j 0.41*** 0.37*** 0.37*** 0.37*** (0.047) (0.048) (0.048) (0.048) Colony 0.66** 0.14 0.53* 0.51* (0.216) (0.208) (0.263) (0.255) Common Language 0.52* 0.24 0.25 0.24 (0.211) (0.181) (0.180) (0.180) i and j are Same Country 4.11*** 3.92*** 3.92*** 3.93*** (0.295) (0.281) (0.283) (0.282) Country pair group dummies CIS + ij 2.18*** (0.179) RUS j _CIS + i 1.25** 1.12* (0.452) (0.475) RUS i _CIS + j 1.11** 0.98* (0.376) (0.406) SIB j _SIB i 2.26*** 2.27*** (0.186) (0.186) proRUS_RUS 0.45 (0.355) Constant 5.32*** 2.96*** 2.80*** 2.77*** (0.843) (0.802) (0.811) (0.812) Observations 19,522 19,522 19,522 19,522 Number of I_ij 1352 1352 1352 1352 Economic Change and Restructuring (2021) 54:877–918 900 1 3 Finally, we investigate a dynamic form of the model, following the logic of HRM (2010), in the sense that we investigate the degree of decline over time of post- colonial, and specifically post-Soviet trade flows. This is done by incorporation of a lagged dependent variable, and interactions thereof with post-Soviet dummies. 5 Results and discussion 5.1 Static estimation results 5.2 First baseline table: trade flows ‘ Appendix ’ Table 10 carries out estimation omitting country fixed effect dum- mies. While this is not generally recommended in gravity analysis (as discussed in AVW ( 2003 )), this allows us to include time-invariant monadic characteristics (such as landlockedness) and group dummies for the CIS+ countries as importers and exporters. Hence, it confirms the impression that, even after correcting for land- locked location, the former Soviet countries are less open to trade than the average of the rest of the World, with the partial exception that they still trade relatively more with each other than with non-Soviet countries. Table 5 shows our initial baseline estimation in terms of log trade flows, based upon ( 11 ). This shows the initial version of the static model, estimated by gener- alized least squares (GLS), and the effects of incorporation of various post-Soviet dyadic dummies. The four columns of Table 5 show variants of the country fixed effects model. Note that most of the main estimated coefficients are stable and significant through- out. Country-specific, time-invariant variables cannot be included due to collinearity with the fixed effect dummies, and we have to be careful not to carry out regressions on combinations of country groupings which are collinear with either exporter or importer dummies. 25 Trade flows have very stable and significant positive estimated elasticities of 0.14 with respect to exporter GDP and 0.78 with respect to importer GDP. The exporter GDP elasticity is perhaps lower than in much of the literature, indicating that larger countries do not necessarily produce a greater number of product varieties (perhaps Download 1.92 Mb. Do'stlaringiz bilan baham: |
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