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Discussion of Lewis&De Schryder and Kireyev&LeonidovJun 20, 2016  · • Proxies for main factors...

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Discussion of Lewis&De Schryder and Kireyev&Leonidov by Julia Wörz Workshop TASK FORCE ON GLOBAL TRADE Paris, June 20, 2016 Foreign Research Division www.oenb.at
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  • Discussion of Lewis&De Schryder and Kireyev&Leonidov by Julia Wörz Workshop TASK FORCE ON GLOBAL TRADE Paris, June 20, 2016 Foreign Research Division www.oenb.at

  • www.oenb.at [email protected] - 2 -

    John Lewis & Selien De Schryder (BoE): “Export dynamics since the Great Trade Collapse: a cross-country analysis”

    Highly needed paper: mixes simple ingredients carefully to construct appropriate

    proxies for explaining the great trade collapse

    Findings

    Elements

    Possible extensions

    Unclear points

  • www.oenb.at [email protected] - 3 -

    Lewis & De Schryder: Findings

    • Great trade collapse (GTC) is a temporary phenomenon, does not indicate

    structural shift to lower trade elasticity

    • „Unexplained“ part of GTC (magnitude) can be explained by unobserved

    common factors among countries, such as trade protectionism, credit

    constraints, uncertainty

  • www.oenb.at [email protected] - 4 -

    Lewis & De Schryder: Elements

    • Proxies for main factors determining export performance : foreign demand,

    structural shifts in global demand, price competitiveness split into unit labor costs

    and nominal effective exchange rate

    • Panel ECM, PMG estimator with CCE (common external effects)

  • www.oenb.at [email protected] - 5 -

    Lewis & De Schryder: Possible extensions

    • Estimation stops in 2011, thus insights about the GTC, but not about current trade weakness

    • Coefficients estimated over period 1984-2008 without time variation, hence this average may not (yet) spot a structural change that occurred much prior to 2009

    Chart 1.4 TFGT Report: Global imports and GDP growth

    Source: IMF WEO. Notes: Imports of goods and services. Global GDP is aggregate at market exchange rates. The last observation refers to 2015.

    Chart 1.3 TFGT Report: Ratio of global import growth to

    global GDP growth

  • www.oenb.at [email protected] - 6 -

    Lewis & De Schryder: Possible extensions

    • Extend to EMEs: these countries may experience more structural change

    compared to AEs not trivial given tedious construction of proxies

    • Shed light into unobserved common correlated effects this would be a second

    paper

    • GVC trade but this would be an entirely different paper

  • www.oenb.at [email protected] - 7 -

    Lewis & De Schryder: Unclear points

    • Data sources not always indicated

    • Trade-weighted world output / GDP growth (Y*) – is this the foreign demand

    potential?

    • Conditional forecasts: o Unwind previous shocks – is this the adjustment parameter?

    o Relative performance – measured relative to what: country specific export potential (=forecast value) or sample average

    o “Best performers” – best in terms of highest export growth? But not best in terms of meeting potential (i.e. minimal forecast error)

  • www.oenb.at [email protected] - 8 -

    Alexei Kireyev (IMF) and Andrei Leonidov (Lebedev Institute) : “Can Network Effects and Counter-Shock Policies Weaken International Trade”

    Novel and detailed analysis of shock propagation highlighting network effects

    Findings

    Elements

    Possible extensions

    Unclear points

  • www.oenb.at [email protected] - 9 -

    Kireyev & Leonidov: Findings

    • Direct and indirect effects of a shock differ depending on where the shock

    originates and who are the trading partners

    • More developed and more open countries propagate shocks more strongly, less

    developed and especially commodity exporters often block shocks

    • Regardless of the country of shock origin, some countries are always more

    strongly affected (i.e. Hong Kong, Kyrgyz Republic)

  • www.oenb.at [email protected] - 10 -

    Kireyev & Leonidov: Elements

    • Import demand functions: needed to assess the reaction of a country to a foreign

    shock (pass-through coefficients), very detailed estimations (different

    specifications, different lags, nominal and real term, for each country)

    • Matrix of export-import-links / weights / spatial correlation

    • Susceptibility to shocks is determined by exposure to origin country AND trade

    elasticity

    • Network algorithm

  • www.oenb.at [email protected] - 11 -

    Kireyev & Leonidov: Possible extensions

    • Add overview: which origin countries are responsible for the largest

    repercussions across global trading system in case of a shock

    • Assess the extent of substitution / trade diversion that follows in reaction to a

    shock in one specific country

    • Account for the crucial role of final demand vs demand for intermediates /

    position and participation in global production networks as before, this would

    be an entirely different paper

  • www.oenb.at [email protected] - 12 -

    Kireyev & Leonidov: Unclear points

    • Discussion of BoP-balances misleading, as focus is on trade only as shock

    transmission channel

    • Similar unclear if cointegration framework is necessary and used

    • “export” vs “import” shock: does this refer to direct vs indirect effects?

    Wouldn’t they necessarily have to be aggregated?

    • How are the spillovers computed? There is no VAR, hence no IRFs

    • What exactly is W (wij): share of j (=shock origin) in i’s exports (=potential

    amplifier, absorber, blocker; = trade weight) * βi (=import elasticity to exports)

  • www.oenb.at [email protected] - 13 -

    Kireyev & Leonidov: Unclear points

    • Definition of shock diffusion:

    • βI > 1 … amplifying country ok

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