Post-colonial trade between Russia and former Soviet republics: back to big brother?
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post sovviet trade
4.2 Estimation models
We investigate a variety of specifications, some based upon bilateral trade flows, while others utilize the tetrad estimates of the effects of trade costs. In addition, we start incorporating a variety of dummies to model post-Soviet trade effects specifi- cally, and we move from static models, initially, to dynamic models, to investigate stickiness of trade flows. We start with our baseline gravity model given in a log- linear form: where ln(X ijt ) is bilateral trade flow from i to j at time t (which we denote in the tables as ln(Trade Flow)), (M it ) is a set of exporter country-specific variables, corre- sponding to the monadic variable m it in Eq. 3 , incorporating an exporter dummy and a series of ln(GDP it for the exporter, (N jt ) is a set of importer country-specific dum- mies, corresponding to n it in Eq. 4 , incorporating an importer dummy and a series of ln (GDP jt for the importer, (I t ) is a set of year dummies. 19 The gravity controls, D ijt is a set of standard gravity controls, which are bilateral variables that include a geo- graphic distance variable, ln(Distance ij ) , a tariff variable, ln(1 + Tariff ijt ) , and a set of dummies to control for sharing common border (‘contiguous’), landlockedness, regional trade agreement, common colony, common language and the case where i and j are the same country. 20 We take the natural log of all continuous variables. 21 Once we have carried out the baseline regression, we then incorporate a series of variables (ExSoviet) for various categories of flows among the post-Soviet republics. 22 More specifically, monadic dummy variables are dropped, as they (11) ln (X ijt ) = a 0 + a 1 M it + a 2 N jt + a 3 I t + a 4 D ijt + a 5 ExSoviet ij + 𝜀 ijt , 19 For consistency, we should be using exporter-year and importer-year dummies, as discussed in Oli- vero and Yotov 2012). The reason we are not doing it is because we are estimating the effect of inde- pendence on trade flows which is captured by year dummies. Thus, we use year dummies without tab- ulating them with exporter and importer dummies. This fact doesn’t impact on our estimation results. We report the baseline regression results using exporter-year and importer-year dummies (see Table 11 ) which are similar either in magnitude or sign. 20 We might interpret this as a ‘home bias’ dummy. Anderson and Yotov ( 2016 ) stress the importance of inclusion of this dummy. 21 Note that we have dropped time-invariant factors for importer and exporter countries, as these are sub- sumed in exporter and importer fixed effects. 22 Note that some of these are collinear with some of the country-specific dummies, which are automati- cally dropped. However, the post-Soviet variables help provide a clearer picture of what is happening. Economic Change and Restructuring (2021) 54:877–918 898 1 3 are collinear with exporter and importer fixed effects. However, we keep dyadic dummy variables for Soviet metropole-CIS+ pairs ( RUS j _CIS + i ,RUS i _CIS + j , and proRUS_RUS ) or Soviet sibling (non-metropole) country pairs ( SIB j _SIB i ). Hence, we are aiming to model the effects of a pair of countries being various varieties of post-Soviet metropole/siblings. We use the generalized least squares (GLS) estimator and all regression results reported in Tables 5 , 6 and 7 are produced with GLS. As robustness checks, we employ alternative estimators, which are summarized in Table 12 in ‘ Appendix ,’ and confirm that our estimates are robust. 23 To accompany the baseline estimation (based on log trade flows), we replace the dependent variable with the tetradic trade cost variable ( 𝜏 (il)(jk)t in ( 10 )). We note in calculating tetrads we used the UK and Germany as our reference exporter and importer countries, and assuming that the elasticity of substitution is about the same as the estimates coefficient on ln(1 + Tariff ), 24 in order to get tariff-equivalent level of bilateral trade costs. Thus, our baseline trade cost equation is Download 1.92 Mb. Do'stlaringiz bilan baham: |
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