Low Productivity Growth and Sovereign Debt Sustainability

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Low Productivity Growth and Sovereign Debt Sustainability
Peterson Institute for International Economics, Washington DC, 9 November 2017

Low Productivity Growth and
Sovereign Debt Sustainability
Elena Duggar, Chair of Moody’s Macroeconomic Board,                   November 2017
Associate Managing Director, Credit Strategy & Research
Low Productivity Growth and Sovereign Debt Sustainability
Agenda
1. Low productivity growth is dampening the economic
   outlook globally, with further downside risks
2. Low productivity growth is raising challenging
   questions about sovereign debt sustainability in a
   world of historically-high debt levels:
   • How will low productivity growth impact the interest rate-
     growth differential, budget deficits, and the materialization
     of contingent liabilities?
   • What is a sustainable level of debt in a QE or secular
     stagnation environment?
   • Is demographics the most important credit driver given the
     unprecedented fiscal challenges?

                                                    November 2017    2
Low productivity

1
    growth is dampening
    the economic outlook
    globally, with further
    downside risks
The collapse of productivity growth is
global and persistent

Emerging Economy
Developed Economy

  Source: Moody’s Investors Service, Global Macro Risks: Collapse of Global Productivity Growth Remains Sizeable Risk to Credit Conditions, The Conference Board Total Economy Database™ (Adjusted
  version), May 2017

                                                                                                                                                               November 2017                         4
Given demographics, low productivity
growth is dampening global prospects
Despite cyclical upturn, global growth post-crisis remains significantly lower than in the pre-crisis period
                    Global Real GDP (Y-o-Y, % Change)                           1995-2007 Average, 4.7%                       2011-2015 Average, 3.4%
 7.0%

 6.0%

 5.0%

 4.0%

 3.0%

 2.0%

 1.0%

 0.0%

-1.0%
     1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021

                            Global Employment (Y-o-Y, % Change)                                                                Global Output per Worker (Y-o-Y, % Change)
3.5%
                            1995-2007 Average, 2.1%                                                       5.0%                 1995-2007 Average, 2.7%
                            2011-2015 Average, 1.7%                                                                            2011-2015 Average, 1.8%
3.0%                                                                                                      4.0%

2.5%                                                                                                      3.0%

2.0%                                                                                                      2.0%

1.5%                                                                                                      1.0%

1.0%                                                                                                      0.0%

0.5%                                                                                                     -1.0%

0.0%                                                                                                     -2.0%
        1995
        1996
        1997
        1998
        1999
        2000
        2001
        2002
        2003
        2004
        2005
        2006
        2007
        2008
        2009
        2010
        2011
        2012
        2013
        2014
        2015
        2016
        2017
        2018
        2019
        2020
        2021

                                                                                                                 1995
                                                                                                                 1996
                                                                                                                 1997
                                                                                                                 1998
                                                                                                                 1999
                                                                                                                 2000
                                                                                                                 2001
                                                                                                                 2002
                                                                                                                 2003
                                                                                                                 2004
                                                                                                                 2005
                                                                                                                 2006
                                                                                                                 2007
                                                                                                                 2008
                                                                                                                 2009
                                                                                                                 2010
                                                                                                                 2011
                                                                                                                 2012
                                                                                                                 2013
                                                                                                                 2014
                                                                                                                 2015
                                                                                                                 2016
                                                                                                                 2017
                                                                                                                 2018
                                                                                                                 2019
                                                                                                                 2020
                                                                                                                 2021
Source: Moody’s Investors Service, Global Macro Risks: Collapse of Global Productivity Growth Remains Sizeable Risk to Credit Conditions, International Labour Organization.
Note: Exhibits are unweighted average across 122 countries.
                                                                                                                                                                 November 2017   5
Further sizeable downside risks to
potential growth forecasts
» We have a favorable near-term growth outlook and we expect productivity growth to
  recover somewhat in 2017-18 driven by a rebound in aggregate demand and investment
» However, given demographic pressures and declining working-age population, lower
  productivity growth would imply large downside risk to growth forecasts

Global GDP growth under scenarios of lower labor productivity growth
                                                                   Baseline Scenario: Moody's
 7.0%                                                              Scenario 1: Labor productivity grows at the avg. 2011-2015 (1.8%)
                                                                   Scenario 2: Labor productivity grows at 2016 pace (1.4%)
 6.0%

 5.0%

 4.0%

 3.0%

 2.0%

 1.0%

 0.0%

 -1.0%
            2005       2006       2007        2008       2009       2010       2011       2012        2013       2014       2015       2016       2017        2018       2019   2020   2021

 Source: Moody’s Investors Service, Global Macro Risks: Collapse of Global Productivity Growth Remains Sizeable Risk to Credit Conditions, International Labour Organization.
 Note: Exhibits are unweighted average across 122 countries.
                                                                                                                                                                  November 2017               6
Low productivity

2
    growth is raising
    challenging questions
    about sovereign debt
    sustainability
How will low productivity growth impact
sovereign debt sustainability?
» Three main drivers of sovereign debt build-up: primary deficits, the materialization of
  contingent liabilities and the interest rate-growth differential, with large debt build-ups
  typically coming from the first two factors
Debt-creating flows (in percent of GDP)
                                             US                                                                          Japan
   Residual                                       Other debt-creating flows                Residual                              Other debt-creating flows
   Contribution from real GDP growth              Contribution from real interest rate     Contribution from real GDP growth     Contribution from real interest rate
   Primary deficit                                                                         Primary deficit
 20                                                                                      20

 15                                                                                      15

 10                                                                                      10

  5                                                                                       5

  0                                                                                       0

  -5                                                                                      -5

 -10                                                                                     -10
       2002       2004       2006         2008    2010      2012      2014     2016            2002   2004     2006     2008     2010      2012      2014     2016

 Source: Moody’s Investors Service, IMF

                                                                                                                                     November 2017                   8
What will low productivity growth mean
for the risk of financial crises?
» The materialization of contingent liabilities has lead to an average of 4.1 pp annual
  increases in debt to GDP levels across countries
» Financial sector crises represent the biggest risk to sovereign balance sheets. Lower
  growth and lower rates are generally both negative for the banking system

Realizations of contingent liabilities have material fiscal impact on sovereign balance sheets
                                               Developed Markets                                                                                           Emerging Markets
                     60                                                                                                            60
                                                                                                                                                                                         Financial
                     50                                                                                                            50            Natural                                  Sector
                                                                                                                                                Disaster(s)

                                                                                                              Number of Episodes
Number of Episodes

                     40                                                      Financial                                             40
                                                                              Sector
                     30       PPPs                                                                                                 30
                                       Natural                                                                                                      SOEs
                     20               Disaster(s)                                                                                  20                          Subnational
                                    Private Non-                                                                                                               Government
                     10           Financial Sector                                                                                 10       PPPs
                                                     SOEs                                                                                                                           Legal
                                                                      Legal                                                                 Other               Private Non-
                                       Subnational Government                                                                                                 Financial Sector
                      0       Other                                                                                                 0
                          0            2           4           6                8              10                                       0   2          4         6         8                10            12
                                           Avg. Fiscal Costs (% of GDP)                                                                            Avg. Fiscal Costs (% of GDP)
     Source: IMF, 2016, Bova et al., The Fiscal Costs of Contingent Liabilities: A New Dataset, IMF Working Paper WP/16/14, Moody’s Investors Service, Sovereign Contingent Liabilities: Public Enterprises
     Represent a Material Source of Fiscal Risk to Some Sovereigns

                                                                                                                                                                         November 2017                         9
What is a “sustainable” level of debt?
» Historically, sovereign defaults have occurred at a wide range of debt-to-GDP ratios
» In a world of historically-high debt levels, how relevant are traditional debt thresholds like
  the IMF’s 90% and 60% debt to GDP thresholds for ADV and EM countries? Should debt
  thresholds be adjusted up over time?
Sovereign defaults have occurred at high as well as low debt to GDP ratios (%)
 200.0
 180.0
 160.0
 140.0
 120.0
 100.0                                                                                                                                                                                                                                                                                                                84.2
  80.0
  60.0
  40.0
  20.0
   0.0

                                                                                                                                                                                                  Jamaica

                                                                                                                                                                                                                                                                             Jamaica
             Russia

                                                                                           Paraguay

                                                                                                                                                                                                                                                          Belize
                      Ukraine

                                                                                                                                                 Dominican Rep.

                                                                                                                                                                  Belize

                                                                                                                                                                                                                                                                                                            Ukraine

                                                                                                                                                                                                                                                                                                                       Mozambique
                                                                                 Moldova

                                                                                                                            Dominica

                                                                                                                                                                                                            Cote d'Ivoire
                                Pakistan

                                                     Cote d'Ivoire

                                                                                                      Uruguay

                                                                                                                                                                                                                                                                                       Cyprus
                                                                                                                Nicaragua

                                                                                                                                       Grenada

                                                                                                                                                                           Seychelles

                                                                                                                                                                                                                                                 Greece

                                                                                                                                                                                                                                                                   Greece

                                                                                                                                                                                                                                                                                                Argentina
                                           Ecuador

                                                                     Argentina

                                                                                                                                                                                        Ecuador

                                                                                                                                                                                                                            St.Kitts and Nevis
           Aug- Sep- Jul- Aug- Mar- Nov- Jun- Jan- May- Jul- Jul- Dec- May- Dec- Jul- Dec- Feb- Jan- Nov- Mar- Sep- Dec- Feb- Jul- Jul- Oct- Apr-
            98 98 99 99 00 01 02 03 03 03 03 04 05 06 08 08 10 11 11 12 12 12 13 13 14 15 16

 Source: Moody’s Investors Service, Sovereign Defaults Series - The Aftermath of Sovereign Defaults - October 2013

                                                                                                                                                                                                                                                                            November 2017                                           10
What is a “sustainable” level of debt in a
QE or secular stagnation environment?
» What happens to fiscal space as central banks hold increasing amounts of government
  bonds? For example, the Bank of Japan holds 40% of JGBs as of Q1 2017, which is
  equivalent to 87% of GDP
» Should credit analysis put more weight on the combined fiscal space of the government
  plus the central bank?
Sovereign bond holdings by Bank of Japan vs. others over time (% of GDP)
                                           Japan                                                                             Estimated Ownership of JGB (Mar.2017)

 200.0
                                                                                                                                                                               held by
 160.0                                                                                                                                                                         central bank
                                                                                                                     held by                                                   39.4%
                                                                                                                     financial
 120.0                                                                                                               institutions
                                                                                                                     42.7%
                                                                                                                                                                              held by
  80.0                                                                                                                                                                        nonfinancial corps
                                                                                                                                                                              0.9%
                            Non-NCB Holdings/GDP, %
  40.0
                            NCB Holdings/GDP, %                                                                                                                                     held by social
                                                                                                                                                              held by               security
   0.0                                                                                                                               held by                                        funds
                                                                                                                   held by           private                  households
         Q2/05
         Q4/05
         Q2/06
         Q4/06
         Q2/07
         Q4/07
         Q2/08
         Q4/08
         Q2/09
         Q4/09
         Q2/10
         Q4/10
         Q2/11
         Q4/11
         Q2/12
         Q4/12
         Q2/13
         Q4/13
         Q2/14
         Q4/14
         Q2/15
         Q4/15
         Q2/16
         Q4/16
         Q2/17

                                                                                                                                                              1.2%                  4.6%
                                                                                                                   overseas          investors
                                                                                                                   10.7%             0.2%

 Source: Moody’s Investors Service, Monetary Policy - US, Euro Area, Japan: FAQ on central bank policy normalization likely to proceed without market disruption, Haver Analytics

                                                                                                                                                                  November 2017                      11
Is demographics the most important
credit driver?
» Europe and North America will remain the greyest regions, especially with the retiring of
  the “baby-boom” generations. The US old age dependency ratio will double by 2050
» Demographic shifts will further dampen productivity growth and will create pressures on
  health care and pension spending
Old-age dependency ratio (ratio of population aged 65+ per 100 population 15-64, %)
                     Africa                Asia                Europe                   Latin America and the Caribbean                             North America              United States
60.0                                                                                                                                                   *Estimates assuming medium
                                                                                                                                                           fertility variant, 2015 - 2100
50.0

40.0                                                                                                                                                                                     US: 36.4

30.0

20.0

10.0

  0.0
          1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050
 Source: UN. Note: Age dependency ratio, old, is the ratio of older dependents (people older than 64) to the working-age population (those ages 15-64). Data are shown as the proportion of
 dependents per 100 working-age population.

                                                                                                                                                                 November 2017                  12
Demographic headwinds will present a
formidable fiscal challenge for the US
Projected health care (top) and pension (bottom)                                                         Projected cumulative increase in growth-adjusted
expenditure to GDP (2011-2050,%)                                                                         health and pension expenditure to 2010 GDP (2011-
                                                                                                         2050, %)
                  18                  No excess cost
Health Care Expenditure

                                      With historical excess cost                                                                                 Lower bound           Upper bound
                                                                                                                                         300
                  13
        to GDP

                                                                                                                                         250

                                                                                                          Increased Expenditure to GDP
                          8

                                                                                                                                         200
                          3

                     -2                                                                                                                  150
                       2010    2020               2030               2040                2050
                                                                                                                                         100
                 18           Pensions growing with wages
                              Pensions growing with GDP per employee
Pension Expenditure to

                 13                                                                                                                      50
        GDP

                          8                                                                                                               0
                                                                                                                                           2010   2020          2030        2040        2050
                          3                                                                                    Note: Lower bound scenario includes health care projection assuming zero excess
                                                                                                               cost growth and pension projection assuming pensions growing with nominal
                                                                                                               wages; while Upper bound scenario includes health care projection assuming
                   -2                                                                                          historical excess cost growth and pension projection assuming pensions growing
                     2010      2020              2030                2040                2050                  with GDP per employee.

    Source: Moody’s Investors Service, Assessing Future Health- and Age-Related Government Expenditures in France, Germany, the UK and the US

                                                                                                                                                                       November 2017         13
The “optimistic” view on debt sustainability
Low productivity growth will have no effect or a positive
effect on sovereign debt sustainability (Mehrotra 2017):
» r < g in many advanced economies
» Even where r > g, the productivity slowdown reduces the differential by
  pushing down r relative to g (in small open economies, domestic r is
  closely linked to world r due to capital mobility, whereas domestic g is
  less linked to world g)
» Going forward, r < g is likely to persist in most advanced countries,
  except for some euro area economies, and as long as r < g, debt is on
  a sustainable trajectory regardless of the debt-to-GDP ratio
» Furthermore, a low world r should continue to help countries with
  autonomous g
Additional argument: central banks’ holdings of government
debt would further reduce rollover risk
                                                           November 2017   14
The “pessimistic” view on debt sustainability
 Low productivity growth will have a negative effect on
 sovereign debt sustainability:
 » r < g is not enough to ensure debt sustainability: historically, the most
   important threats to debt sustainability come from increases in the
   primary deficit and the materialization of contingent liabilities, both of
   which become more likely with lower productivity growth (Dynan 2017)
 » Further, even where r < g, there is a risk of reversion to r > g
 » r > g in many emerging and frontier markets
 » The r-g differential may not decline as the productivity slowdown is
   global and not just in advanced economies (pushing down domestic g)
 » Additionally, the unprecedented demographic transition will exacerbate
   the decline in productivity growth and the pressure on primary budget
   deficits

                                                              November 2017   15
Appx.   Additional Figures
Real growth contribution from changes
in employment and in labor productivity
for the US and Japan
Contribution to real GDP growth in the US                                           Contribution to real GDP growth in Japan

          Output per worker (y/y, % change)                                                  Output per worker (y/y, % change)
          Employment (y/y, % change)                                                         Employment (y/y, % change)
          Real GDP (y/y, % change)                                       Forecast            Real GDP (y/y, % change)                 Forecast
 6.0%                                                                                6.0%

 4.0%                                                                                4.0%

 2.0%                                                                                2.0%

 0.0%                                                                                0.0%

 -2.0%                                                                               -2.0%

 -4.0%                                                                               -4.0%

 -6.0%                                                                               -6.0%

 Source: Moody’s Investors Service, International Labour Organization.

                                                                                                                            November 2017    17
Immigration has been a vital source of
US working-age population growth
Net migration rate in US (per 1,000 population)                          Population growth in prime working age (25-54) by
                                                                         nativity and US citizenship status (y/y change, %)

 7.0                         Net migration rate (per 1,000 population)             Native   Naturalized U.S. citizen   Not a U.S. citizen
                                                                         12.0
 6.0
                                                                         10.0
 5.0
                                                                          8.0
 4.0
                                                                          6.0
 3.0
                                                                          4.0
 2.0
                                                                          2.0
 1.0
                                                                          0.0
   0
       1950 - 1955
       1955 - 1960
       1960 - 1965
       1965 - 1970
       1970 - 1975
       1975 - 1980
       1980 - 1985
       1985 - 1990
       1990 - 1995
       1995 - 2000
       2000 - 2005
       2005 - 2010
       2010 - 2015
       2015 - 2020
       2020 - 2025
       2025 - 2030
       2030 - 2035
       2035 - 2040
       2040 - 2045
       2045 - 2050

                                                                          -2.0

                                                                          -4.0
                                                                                 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
 Source: Moody’s Investors Service, UN (left), US Census (right)

                                                                                                                November 2017           18
Moody’s Related Research

»   Monetary Policy - US, Euro Area, Japan: FAQ on central bank policy normalization likely to proceed without
    market disruption, September 2017
»   Global Macro Risks – Collapse of Global Productivity Growth Remains Sizeable Risk to Credit Conditions,
    May 2017
»   Sovereign Contingent Liabilities: Public Enterprises Represent a Material Source of Fiscal Risk to Some
    Sovereigns, January 2017
»   Population Aging Will Dampen Economic Growth over the Next Two Decades, August 2014
»   Sovereign Defaults Series - The Aftermath of Sovereign Defaults, October 2013
»   Assessing Future Health- and Age-Related Government Expenditures in France, Germany, the UK and the
    US, December 2011

»   Topic Page: Sovereign Default Research
»   Topic Page: Global Macro-Economic & Financial Risk Analysis
»   Topic Page: Pensions and Retirement Benefits: Today's Promises, Tomorrow's Credit Challenges

                                                                                          November 2017       19
Elena Duggar
Chair of Moody’s Macroeconomic Board
Associate Managing Director
Credit Strategy & Research
+1.212.553.1911
elena.duggar@moodys.com
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