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Comments on Credit Constraints as a Barrier to the Entry and Post-Entry Growth of Firms

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Title: Comments on Credit Constraints as a Barrier to the Entry and Post-Entry Growth of Firms


1
Comments on Credit Constraints as a Barrier to
the Entry and Post-Entry Growth of Firms
  • Simon Johnson
  • MIT Sloan

2
Summary Assessment
  • Growth is largely about entry
  • Confirm earlier results
  • Availability of external finance constrains entry
  • Nature of constraint and effect varies
    systematically across firms
  • Most novel here Size of firms may matter in this
    regard

3
A (Potential) Debate
  • The Finance View
  • Access to credit has a first-order effect on
    ability to become an entrepreneur (and therefore
    growth)
  • The Property Rights View
  • Only potential entrepreneurs who perceive their
    property rights to be secure will make
    investments

4
An Econometric Problem
  • If you do not control for property rights
    (instrumented) then the finance variables may
    actually be picking up broader institutional
    effects
  • Not a problem if you can instrument convincingly
    for finance variables
  • But this is hard
  • Is there plausible evidence that property rights
    matter for entry and post-entry growth of firms?
  • See work by John McMillan

5
The main finding
  • Effect of credit constraint depends on size of
    firms
  • Relaxing this constraint helps small firms more
    than large firms
  • it may even discourage entry by large firms
    (p. 2)

6
Question 1
  • What exactly is entry by large firms?
  • Is this entry, as in start-up?
  • Or entry into the database?
  • How does the database handle
  • Entry by foreign companies
  • Mergers and acquisitions
  • This entire measurement issue needs to be at
    least 1/3 of the paper
  • By the way, how big were Microsoft or Intel or
    Google or Whole Foods when they first started up?!

7
Question 2
  • Rajan and Zingales (1998) breakthrough paper for
    methodology of studying financial development
  • Why 1,000 papers using this method, and almost
    no work checking if nonUS financial dependence of
    sectors is really similar/correlated with the US?
  • Exception Subramanian et al (India)
  • 1980s vs. 1990s why such differences?
  • RZ AJ robustly, financial development matters
    for composition of output (types of sectors) but
    NOT for GDP per capita
  • AJM may matter for vertical integration, when
    contracting costs are high (CAUTION new result)

8
Question 3
  • Djankov et al Doing Business Indicators have
    been a breakthrough for quantifying and focusing
    on barriers to entry
  • But just putting these in a regression (not
    instrumented) may not tell us very much
  • Likely correlated with broader institutions
  • Probably there is some form of seesaw effect
  • If you push down on one end (lower some cost for
    new entrants to become large firms) then the
    other end will pop up (some other costs/barriers
    emerge)

9
Question 4
  • If you have a potentially endogenous rhs variable
    or other issues is it still just OK to find a
    possibly more exogenous variable as an
    instrument?
  • Dont we need more theory and evidence (also from
    outside the regression framework being used) to
    support the exclusion restriction?
  • There is a great deal of confusion over the
    other channels issue, but this is a potentially
    important point
  • What are the deep determinants (of growth) and
    how are the effects of these manifest?

10
The Limits to Knowledge (Today)
  • What are the robust facts?
  • Financial development matters
  • For the composition of output agreed
  • For GDP per capita contested
  • Legal origin matters
  • for financial development probably
  • For GDP per capita no
  • What are the implications for Entry?
  • Composition vs. level of output?!
  • Property rights security of investment cannot
    safely be omitted from the regression

11
Policy Implications
  • We need rules, not discretion, for
  • Updating our stock of useful knowledge based on
    new research
  • Apply the same rules across different kinds of
    research (but you cant randomize everything!)
  • Sometimes the new findings are sufficiently
    convincing and important that we should change
    our views
  • Resist fashion, if you can (hence the need for
    rules)
  • Emphasize robustness, replication, and data
    revisions
  • First, do no harm
  • Agreed, but what if you are in a crisis?
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