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Global Production Sharing: Patterns, Determinants and Macroeconomic implications (discussant slides)
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Transcript of Global Production Sharing: Patterns, Determinants and Macroeconomic implications (discussant slides)
Global Production Sharing: Patterns,
Determinants and Macroeconomic
implications
Discussant
Rajan Krishna Panta
Arndt-Corden Department of Economics
Crawford School of Public Policy
4 November, 2013
1
Introduction
• Global production sharing- a part of globalization. The shift
from in-house production to outsourcing is a key element of
the new economy (manufacturers without factories)
• Growth in international outsourcing as reflected in the
expansion of intermediate input trade
• Important implications with regard to the traditional concept of
comparative advantage, trade patterns, wages, and
employment (Baldone et al., 2007; Molnar et al., 2007).
Countries can no longer be thought of as producers of a
particular final product, and hence appear to be specialized in
the given commodity.
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Overview of the paper
• Survey of the theories on international trade and global
production sharing
• Extension of the Jones and Kirezkowski (1990) methodology incorporating other determinants of global production sharing
• Gravity model framework of the determinants of global production sharing
Issues for consideration (theory)
Recent theories and research focus on
1) role of business groups and social networks (e.g. Rauch
(2001)), networks and informational barriers (e.g. Rauch and
Casella (2002))
2) Endogenous outsourcing (vertical integration versus
outsourcing),
3) Global vs domestic outsourcing (Grossman & Helpman,2002)
4) Submodularity and supermodularity
5) Trade and allocation of diverse talents (Grossman & Maggi,
2000)
6) Incomplete information and imperfect contracts (Antras 2002)
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Issues for consideration (estimation)
• Measurement of degree of fragmentation
• Indices based on horizontal and vertical intra-industry trade such
as network trade index, Grubel-Lloyd (G-L) and Hummels index.
Including these indices as dependent variable.
• Lot of independent variables are either zero or missing. For eg.
Out of total observations, only 1/3 of humanitarian aid values
• Dealing with zero values
- Ad-hoc solution method : though log(0) is undefined
log(0+0.00001) is not. For small x, log(x+0.00001)= logx
- Poisson model
- Heckman sample selection model
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Issues for consideration (estimation)
• Endogeneity
- which are the endogenous variables and what are
the instruments
- Reporting of first stage regressions
• Random effects or fixed effects
- RE assumes that the distribution of the unobserved
heterogeneous component is distributed as a random variable
i.e. there are specific factors in a country that affect trade but
are not related with GDP, distance or other factors included
as repressors.
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Empirical estimation (gravity model)
• In recent years, gravity has become a complex business
• Multilateral trade resistance (Anderson and Van Wincoop,
2002), bilateral trade depends not only on trade costs
between regions themselves (‘bilateral resistance’) but also
on trade costs with all locations (‘multilateral resistance’),
solution to the ‘home bias’ trade puzzle by McCallum (1995)
• Generalized gravity equation (HMR ,2008)
• Dynamic panel (?)
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