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Trade with Unemployment Part 2: New Insights from Old Trade Theory

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Note also: The price increase is a convex comb. of factor changes ... Trade and factor rewards will be linked by a convex comb. of SF and SS effects ... – PowerPoint PPT presentation

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Title: Trade with Unemployment Part 2: New Insights from Old Trade Theory


1
Trade with UnemploymentPart 2 New Insights
from Old Trade Theory
  • Carl Davidson
  • Michigan State University

2
Old Trade Theory
  • For simplicity, I will focus on the 2 sector HOS
    and Ricardian GE models
  • Here the industry is the appropriate unit of
    measure (firms within an industry are all the
    same)
  • All markets are perfectly competitive, there is
    full employment

3
Old Trade Theory
  • Focus on the two biggest questions
  • What causes trade?
  • Who gains and who loses from trade? That is, what
    is the link between trade and factor rewards?
  • How does adding unemployment change the answers?

4
What Causes Trade (Ricardo)?
  • Interaction of cross-sector differences and
    cross-country differences
  • In Ricardian model, labor productivity varies
    across countries and, for at least one country,
    across sectors

5
What Causes Trade (HOS)?
  • Sectors differ in their use of factors (factor
    intensities, measured by aij)
  • Countries differ in endowments of resources
  • Differences in factor use across sectors coupled
    with differences in endowments across countries
    leads to trade between countries (HO Theorem)

6
HO Theorem
  • If a country has a relatively large endowment of
    labor, labor will be relatively cheap in that
    country
  • In that country, it will therefore be relatively
    cheap to produce good that are labor intensive in
    production (i.e., the autarkic price of that good
    will be low relative to ROW)

7
HO Theorem
  • Countries will have a comparative advantage in
    the good that makes relatively intensive use of
    its relatively abundant factor

8
Adding Unemployment
  • Basic point The structure of the labor market
    can influence trade patterns
  • In our search framework, workers cycle between
    periods of employment and unemployment the
    employment process is risky
  • Workers take this risk into account when choosing
    an occupation

9
Adding Unemployment
  • Suppose that two countries are identical in all
    aspects except for the structure of their labor
    markets
  • In the labor markets, matching technologies and
    job security may differ for a variety of reasons
    (info flows, policies related to hiring and
    firing,)
  • What are the implications?

10
Adding Unemployment
  • Suppose that in one country the matching
    technology is relatively less efficient in a
    sector than it is in the same sector in other
    countries
  • Then, workers face more risk looking for a job in
    that sector than they do in other countries
    they must be paid a compensating differential to
    seek such a job
  • The compensating differential pushes up autarkic
    prices and makes it less likely the country can
    export that good

11
Adding Unemployment
  • Suppose that in one country jobs are less secure
    in a sector than they are in the same sector in
    other countries
  • Then, workers face more risk looking for a job in
    that sector than they do in other countries
    they must be paid a compensating differential to
    seek such a job
  • The compensating differential pushes up autarkic
    prices and makes it less likely the country can
    export that good

12
Bottom Line
  • Employment risk affects wages
  • Wages affect autarkic prices and trade patterns
  • A country is more likely to have a comparative
    advantage in a good that is produced in a sector
    with a relatively low duration of unemployment
    and a relatively high job duration

13
Empirical Evidence?
  • Substantial evidence that job creation/job
    destruction rates vary across sectors and
    countries (DHS 1996 and the work that followed)
  • Evidence that employment risk affects
    compensating differentials (Abowd and Ashenfelter
    1981)

14
Empirical Evidence?
  • Using two sources of data on turnover (DHS for
    job turnover, BLS for worker turnover) we found
    strong evidence that industry trade position is
    strongly and negatively tied to job destruction
    rate that is, the higher the job destruction
    rate, the more you import (Davidson Matusz RIE
    2004)

15
Empirical Evidence?
  • Alternative story a surge of imports destroys
    jobs, increases job destruction rate (workers in
    more open sectors face less job security)
  • What is the direction of causality?

16
Causality?
  • One story (ours) is about LR behavior look at
    relationship between trade position and average
    turnover rate
  • Second is a SR story look at trade position and
    deviation of turnover rate from the mean
  • In all regressions, relationship much stronger
    for mean turnover rate

17
Additional Evidence
  • Janiak (Working Paper 2006) Looks at how changes
    in trade patterns (caused by liberalization)
    affects turnover rates findings similar to
    ours, but story of causation reversed
  • Cunat and Melitz (Working Paper 2006) Argue that
    labor market flexibility shapes comparative
    advantage find that countries with flexible
    labor markets specialize in high volatility
    industries

18
Trade and Factor Rewards (R)
  • In Ricardian model, some factors are sector
    specific, some are mobile
  • Free trade benefits factors specific to the
    export sector and harms those specific to the
    import sector
  • Impact on mobile factors is ambiguous
  • For specific factors, industry affiliation is all
    that matters

19
Trade and Wages (HOS)
  • Many results in HOS model based on manipulation
    of market clearing conditions
  • L0 LX LY aLXX aLYY
  • K0 KX KY aKXX aKYY
  • PX aLXwx aKXrx
  • PY aLYwy aKYry

20
Unit input requirements
Kj
akj
X(L,K)1
Lj
aLj
21
Trade and Wages
  • Totally diff. one product market clearing
    expression to get

But, since unit input requirements are optimal,
the last two terms sum to zero
22
Trade and Wages
  • Subtract the two expressions yields

where ? measures the relative factor
intensities of the two sectors (in value terms)
? gt 0 means that sector X is relatively more
labor intensive than sector Y
23
Trade and Wages
  • Suppose that the world price of a labor-intensive
    good rises (PX increases)
  • Prod. of X rises. Factors released from sector Y
    are less labor intensive than those absorbed in
    sector X.
  • Demand for L rises, demand for K falls.
  • w rises (L gains), r falls (K loses), regardless
    of where it is employed

24
Trade and Wages
  • Is there another effect? After all, all firms
    become more K intensive (the aij terms change)
  • But, changing the aij terms has no impact on
    prices since the aij terms were optimal (Envelope
    theorem)!
  • This will be useful shortly

25
Trade and Wages
  • Note also The price increase is a convex comb.
    of factor changes

Thus, labor gains in real terms
26
Stolper-Samuelson
  • Trade benefits a countrys abundant factor and
    harms its scarce factor (industry affiliation
    does not matter)
  • Protection of an industry benefits the factor
    used relatively intensively in that sector

27
More Details on HOS
  • Totally diff. the factor market clearing
    expressions yields

where ? measures the relative factor
intensities of the two sectors (in physical
terms) ? gt 0 means that sector X is relatively
more labor intensive than sector Y (with perfect
competition, ?? gt 0).
28
Px/Py
RS
PM clearing
RD
X/Y
w/r
FM clearing
45o line
w/r
29
Adding Unemployment
  • Yesterday I noted that with unemployment the
    product market clearing conditions can be written
    as
  • Px aLxwXu aKxrXv
  • Py aLywYu aKyrYv
  • Differentiate to get

30
Adding Unemployment
  • Key question Are the unit input requirements
    optimal? If so, last two terms sum to zero
    again.
  • If so we get an extension of Stolper-Samuelson

31
Adding Unemployment
  • It is now the unemployed factors that move to
    clear factor markets
  • An increase in a price attracts more unemployed
    factors to that sector
  • This changes the mix of unemp. factors
  • Usual SS result, but the implication is now for
    the return to unemployed factors

32
Extended Stolper-Samuelson
  • If a country protects a good produced in a labor
    intensive sector, all unemployed labor benefits
    and all idle capital is harmed

33
An Important Exception
  • But, this version only holds if unit input
    requirements (which include unemployed factors)
    are optimal
  • Why?
  • When you differentiate factor market clearing
    conditions the envelope theorem no longer applies
    can get feedback effects on prices this is
    due to externalities in the search process

34
Implications?
  • The free trade equilibrium may not be optimal
    equilibrium unemployment may be too high or too
    low
  • The relative supply curve need not be upward
    sloping it can bend back, leading to multiple
    free trade equilibria
  • Expectations about economic activity become quite
    important
  • See DMM (1987, 1988, 1991)

35
Why not emphasize these results?
  • Based on controversial, hard to measure search
    externalities it is unclear if such
    externalities are important, hard to predict
    which way they go more research needed
  • Other interesting insights are present even when
    unit input requirements are optimal

36
Back to Stolper-Samuelson
  • Hard to test extended SS cannot observe return
    to unemployed or idle factors
  • What about the return to employed factors?
  • We get a convex combination of SS and Specific
    Factors (SF, or Ricardian) effects

37
Trade and Wages with Unemployment
  • When factors are employed, frictions create an
    attachment to that sector this makes them
    quasi-fixed factors this generates SF effects
  • All employed workers realize that they will spend
    a fraction of life unemployed this generates SS
    effects

38
Predictions
  • Trade and factor rewards will be linked by a
    convex comb. of SF and SS effects
  • SS effects will be strong in high turnover
    industries
  • SF effects will be strong in low turnover sectors

39
Empirical Evidence
  • How to test this?
  • Some have tried to test SS by looking at
    political contributions
  • SS predicts that factor abundance determines
    views on trade policy
  • SF predicts that industry affiliation determines
    view on trade policy

40
Empirical Evidence
  • In the past it has been difficult to find much
    support for SS empirically
  • Magee (1980) looked at lobbying behavior, found
    support only for SF
  • Dismissed as a misunderstanding of SS, which is
    really about long run behavior

41
Empirical Evidence
  • More recent evidence suggests that industry
    affiliation and factor abundance play a role
    (Beaulieu and Magee 2004)
  • Also some evidence that voting behavior in US and
    Canada consistent with SS (Beaulieu 1998, 2000
    Balistreri 1997 Slaughter 1998)

42
Prediction of our Model
  • Relatively abundant factors employed in import
    sectors should favor protection if turnover is
    low, free trade if turnover is high
  • Relatively scarce factors employed in export
    sectors should favor free trade if turnover is
    low, protection if turnover is high

43
Data
  • Look at PAC contributions in US aimed at
    influencing NAFTA and GATT
  • These lobbies typically give to both parties (for
    access), will give more to one to influence
    outcome and policy
  • Theory says Base decision on factor abundance
    (SS effect), industry affiliation (SF effect) and
    turnover rates

44
Data
  • DHS Turnover data (robust to other measures)
    use average turnover rate for 1988-1992
  • Get PAC contributions from Federal Election
    Committee look at share going to supporters of
    NAFTA, approval of GATT (Uruguay Round), and both

45
Data
  • PACs can be linked to an industry based on data
    from the Center for Responsible Politics and from
    info on the web
  • PACs classified as representing import-competing
    or exporting industry based on net trade position
    from NBER trade data

46
Predictions
  • High Turnover Industries
  • Capital and labor should differ in preferences
    toward trade policy
  • Low Turnover Industries
  • Capital and labor should have the same
    preferences toward trade policy

47
Fraction of 1991-92 PAC contributions given to
free trade proponents
48
Fraction of 1991-92 PAC contributions given to
free trade proponents
49
Extensions
  • Can add controls, look at differences in
    differences, add fixed effects, results do not go
    away, often get stronger
  • Bottom Line There is (strong?) support for the
    theory that the structure of the labor market
    effects the link between trade and wages

50
Important Extensions
  • With the model established, it can be used to
    look at a whole host of important issues that
    could not be addressed in full employment models
  • For example
  • Costs of adjustment (taking spells of
    unemployment and retraining into account)
  • What is the best way to compensate those harmed
    by trade liberalization
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