Literature Review New Trade Theory Originality Motivations
Literature Review
Traditional theories of comparative advantage fail in explaining IIT Emergence of an Intra-Industry Trade literature : Balassa (1966), Grubel (1967) : empirical works Grubel and Lloyd (1975) : Grubel and Lloyd index of IIT Brander (1981) : provides a theorical framework
Hypotheses Profit functions Grubel and Lloyd Index Theorical results
Theorical results
Proposition : Asymetry in any parameter decreases the IIT level. Exemple with different degrees of market concentration (nh 6=nf ) : −nf | ρ = 1 − |nnhh +n V decreasing level of IIT as nh and nf diverge. f
Petrochemicals Industry analysis of bilateral intra industry trade : From 1988 to 1992 , USA & Germany 38 traded petrochemicals : homogeneous, standardized Varying levels of IIT for each products. Oligopolistic competition, capital intensive, fixed costs. Profit determined by the number of producers and production costs. Cournot-Nash model, a reasonable framework.
Data Dependant variable : Grubel Lloyd Index : it −Mit | IITit = 1 − |X Xit +Mit
Independant variables : COSTDIF : raw materical costs, utility costs. Standford Research Institute. SIZEDIF : we use proxy for each country’s market size : Annual product sales. FIRMDIF : Number of firms in USA (SOC), in Germany (WPDP).
Check correlation Functionnal form Robustness and Regressions Results
Potential bias Analysis of a potential bias : Source of error : ∂ρ
we supposed ∂
|ch −cf | ch +cf
∂ρ
< 0; ∂
|sh −sf | sh +sf
∂ρ
< 0; ∂
market structure configurations.
|nh −nf | nh +nf
< 0 hold in all
A high correlation between variables implies an underestimation of IIT Correlation test between pairs of explanatory variables. Result : No positive correlation Each independant variables explain "distinct influences" on IIT . Daniel M. Bernhofen
Check correlation Functionnal form Robustness and Regressions Results
Robustness and Regressions Robustness Few data, missing observations per year. Large amount of "zero IIT" observations. Check robustness of estimations with regards to "zero IIT" outliers. Regressions 1
Regression with annual dummy variables.
2
Annual Regression. 1 2
With full observations. With restricted observations : excluding zero IIT observations Daniel M. Bernhofen
IIT « Not a figment of the product grouping » Through an extention of the Brander Model, Find determinants of IIT. Test theory on petrochemicals industry. Empirically relevant. Negative impact of country specific differences on intensity of bilateral IIT. Pave the way for "positive" studies on IIT under oligopolistic competition.
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