1930s Economic Recovery Flashcards
Features of the Recovery (8) AMSRGM
- Depression lasted from Q3 1929 to Q3 1932 (real GDP down 5%, industrial production 11%)
- Recovery unusually long & strong – real GDP grew 4% p.a. 1932-37 (unmatched, historically)
- Alford (1972) – “Depression and Recovery?”
o Long term economic growth rates comparable 1924-29 and 1929-37
o Unemployment problem remained
o ‘Difficult to see how one can speak of “recovery”’ - Mitchell, Solomou & Weale (2012) – estimate monthly GDP for GB, 1920-38
o Use set of monthly indicators constructed by The Economist (14 index numbers)
o Trough is September 1932, then recovery begins in October 1932 - International comparison (Solomou, 1996) – GB did very well
o Most countries witnessed retarded growth in 30s (inc. US, France, Italy & Japan)
o By contrast, GB grew on steady trend path since 1920s (2% p.a.) & saw improvement ct 1913-29 or 1899-1929 (+ saw rapid fall in cyclical u/e rates from 1932 peak)
o GB cyclical performance from trough to peak is at median of distribution, but strength of recovery related to severity of depression – UK depression was comparatively mild, so median position is pretty strong (those who do better had much deeper Depression amplitudes) - Reinhart & Rogoff (2010)
o Examine 21 “now-advanced” economies’ performance during Interwar period
o Statistically significant difference in international growth rates 1919-28 & 1930-39
o Hence most countries find it difficult to recover and see reduction in trend growth
o In this context, GB performs very well - Greasley & Oxley (1996) – perform econometric tests on GDP/industrial production to see if paths are trend stationary – find that 1929 crash had no more than transitory effect in GB
- Expenditure patterns during recovery
o Consumption expenditure was very important through 1932-37
o Export demand/domestic investment more important in earlier stages (1933-35)
o Government expenditure important in later stages of boom (rearmament – 1932-37)
o Recovery was internally generated – export volumes in 1937 below 1929 levels
o C & I accounted for 75% of the recovery (Morys, 2014)
Natural recovery intro (4)
- Richardson (1967) – ‘the role of Government Policy, if it were positive, was minor’
- “Natural” Recovery idea
o Market economies adjust to shocks via price/wage flexibility
o Business cycles are short-run deviations from trend - ‘Recovery that occurs without any conscious effort by government to affect through policy’
- Can occur via both demand or supply side
o Demand side – Keynes effect, Pigou effect (but if net debtor, then negative) & RER effect (see ToT, below)
o Supply side – technology diffusion, shift to new industries & real wage moderation
Natural Recovery - New Development Block - FOR view - Aldcroft & Richardson (1967)
Aldcroft & Richardson (1967)
* Expresses view that strong growth path in 1930s is due to new industries (chemicals, electricity, electrical engineering, motor vehicles & consumer durables)
o New industries form own “new development block” with strong input-output links within the new sectors and high complementarity of demand between them
o Also not reliant on exports, so GB suffered less from weak overseas demand
o Indeed, they grew very strongly in the 1930s
* Structural transition to new, capital-intensive industries may provide explanation for high unemployment of 12-14% in early 1930s and subsequent decline
Natural Recovery - New Development Block - AGAINST views (5) KVHCK
- Kitson & Solomou (1990) – very small impact due to small share of output – just 10% of manufacturing output in 1924 and only 20% by 1935
- Von Tunzelmann (1982)
o Calculates a counterfactual, with new industry growth held at 0 (via “Leontief inverse” method and input-output tables) – output only 3 % lower in 1935 – economy growing at 4%, so new industries don’t explain recovery
o Input-output tables from 1930/1935 Censuses of Production show that backward linkages ran predominantly back to old industries – hence, recovery is driven by both industry types (and policy may have a role via old industries)
o Conducts shift-share analysis, decomposing productivity growth into “within sector” and “structural change” parts – former more significant (and even across old/new) - Hatton (1988) – doesn’t contribute to demand at all
o Exports – no, because mostly import substituting
o Investment – no – only 7% of total net I (32-37) (most of which in housebuilding) - Crafts (2018) – manufacturing sector was transformed in decline in old staples in favour of new industries – to be expected in any dynamic economy
o New industries do not appear to have significant comparative advantage – old staples persist as UK’s strongest exports by end of 1930s
o New industries are important
Experienced faster productivity growth of 3.1% p.a. vs 1.3% p.a. for old
Constituted 33.9% share of overall manufacturing productivity growth
o But unrealistic that new industries transformed UK productivity performance - Kitson & Michie (2014) – it is very hard to define old/new industries – is it just based on their growth rates? (so endogenously true)
Natural Recovery - GPT - intro (3)
- Bresnahan & Trajtenberg (1996) – General Purpose Technologies (GPTs) are:
1. Pervasive – GPTs spread to most sectors
2. Improving – GPTs get better over time, so keep lowering the costs
3. Innovation spawning – GPTs make it easier to produce new products/processes - Examples include electricity (1894 to late 30s) (+ve impact on labour productivity in manufacturing) & ICT (early 70s to modern day)
- Jovanovic & Rousseau (2005) – evidence shows that GPTs arrive episodically, at first creating turbulence and lower growth, and then delivering higher growth/prosperity later (not true – productivity growth definitely occurs)
Natural Recovery - GPTs - FOR arguments (3)
- Evidence suggests that UK could have benefitted from GPTs in the 1930s
o Electricity adoption well behind US (pioneer), especially in 1920s
o Follower countries should be ready to adopt electricity in 1930s, creating boom - David & Wright (2003) argue that UK did benefit from it
o National Grid was created in UK 1929-33, so diffusion matched by US by end of 30s
o GPTs are capital-saving technological change, so should see lower K/Y ratio – indeed, Matthews et al. (1982) find K/Y ratio falls in all manufacturing industries 1924-37
o However, TFP growth still a lot less than US rates in 1920s - Jovanovic & Rousseau (2005) – Hodrick-Prescott (H-P) filter suggests productivity pickup in latter part of electrification era
Natural Recovery - GPTs - AGAINST arguments (2 + 2)
- Kitson & Solomou (1990) – evidence suggests there was some technological catch-up
o Britain closed labour productivity gap to US for first time in 50 years over 1929-38 – labour productivity may proxy for technological gap
o No reason why it should close in 30s – sizeable in 1913 and 1924 too
o Hence reason is favourable AD conditions – not just S-side in isolation – interaction - Ristuccia & Solomou (2014) – question notion that widespread productivity increase resulted from electricity diffusion
o Productivity bonus of the UK manufacturing sector can be observed over the entire interwar period – challenges the GPT theory since the UK was far behind the US in electricity per worker at the start of the 1920s
o (David, 1991) GPT theory indicates that GPTs do not deliver productivity gains immediately upon arrival (time take for diffusion) – but productivity gains come about much earlier than implied by GPT theory (from early in 1920s)
o Productivity growth paths of the UK, Japan, Germany and France differ significantly, despite sharing a common path of electricity diffusion – UK and Japan experienced trend acceleration across the whole IW period, whereas French productivity grew in the 1920s but stagnated in the 1930s, and Germany experienced no trend acceleration in productivity
o France – implies that countries limited by policies (with France remaining on the gold standard in the 1930s) were unable to take advantage of the new technology linked to electricity – suggests strong and important interaction between GPTs and policies
Risky comparison – electricity may not have been as effective in France due to higher proportion of workers still in agriculture vs UK – expensive to bring electricity to rural areas - Supply-side is not enough – merely defines a potential – need demand to realise it
- Policy is important in this regard – interactions of policy/S-side are key to recovery
Natural Recovery - Terms of Trade Effects (4)
- Terms of Trade ToT=Export Prices/Import Prices, so increase means can buy more M for each X & may also be lower cost-push inflation (import price inflation lower than export price rises)
- Collapse in commodity prices abroad meant ToT improved by 20% 1929-1931
- ToT improvement meant real consumption wages increased (lower prices), increasing C
- However, ToT deteriorated 10% over 1933-37, suggesting it was not key for recovery, just ameliorated the Depression itself
Natural Recovery - Real Wages/Labour market (4) (BDHK)
- Beenstock et al. (1984) – real wages key to recovery
o Higher product real wage reduced the demand for labour (especially in tradables), reducing profits, investment, output & employment
o Reversed from 1932 as product wage growth moderated – led to growth - Dimsdale (1984) – in econometric estimates for labour demand, significant negative coefficient on product real wage only obtained in presence of demand variable (e.g. world trade), suggesting that demand side factors are key
- Hatton (1988) – moderation probably just the normal response to Depression – movement along SRAS, not a shift (Keynesian view)
- Kitson & Solomou (1990) – flaw in other studies is use of wholesale prices, not the GDP deflator (using right measure, no reversal in W/P until 1936)
Natural Recovery - Housing Boom - Why? and FOR arguments (4)
- Why? – 1. enhanced availability + affordability of mortgage finance, 2. permissive land-use planning rules 3. shortfall of investment in 1920s
- (Worswick, 1984) Housebuilding accounts for 17% of GDP growth and 30% of increase in employment between 1932 and 1934, including multipliers to related sectors
- ‘Cheap money hypothesis’ – decline in interest rates following July 1932 war loan conversion coincided with and was a major factor in causing housebuilding boom
o Intuitively, as i/r decline, shift in savings towards investments offering fixed rate of return – PROPERTY - Average monthly mortgage payments fell 9% 1931-33 – also some demand-side effects as housing became affordable for more families
Natural Recovery - Housing Boom - AGAINST (6) FHKBW
- Lack of synchronisation between cheap money and housing boom
o Residential construction growing in 1920s and experienced boom in 1927 comparable to – Feinstein (1965) puts forward weaker version of hypothesis, that lower interest rates sustained (rather than stimulated) the boom
o Argument – building societies, experiencing strong inflow of funds, forced by law to lower mortgage rates and increase length of loan, thus acting as a transmission method for falling interest rates - (Humphries, 1987) – effect not via cheap money
o Rate of return on building society shares and consols had previously been comparable given their similar risk
o War loan conversion did lower the returns on consols, creating a differential in favour of building societies
o Would expect this to result in more rapid growth for building society funds – in reality, deposit growth faster in 1920s vs 1930s - Kitson & Solomou (1990)
o Important for turning point (17% of GDP increase 32-34) but not for 1930s in general (only 9% of overall GDP growth 1932-37, ct 50% for manufacturing) - Broadberry (1986) – increase in building society advances in early 30s was not due to higher deposits, but due to lower liquidity ratio due to competitive environment & high growth of some societies (but still attributes ½ of housing boom to MP)
- Housing only 3% of GDP in 1932 (Worswick, 1984)
- Natural? Linked to monetary policy
Natural Recovery - Conclusions (3)
- Worswick (1984) – ‘policy made important contributions’
- Kitson & Solomou (1990) – all reasons are empirically invalid/not capable of explaining growth by themselves – S conditions favourable, but only define potential – need policy too
- Housebuilding best (but role of MP), GPT only explains supply, NDB worst
Devaluation (Intro) AEESR
Accominotti (2012)
o London merchant banks and acceptance houses were small, poorly diversified, more vulnerable to liquidity risks and engaged heavily in trade finance.
o When there was suspension of foreign exchange payment due to capital controls in defaulting countries, people feared that small banks might face serious liquidity and solvency risks, so started withdrawing their deposits.
o Since banks had little capital and reserves to absorb the loss and they were an integrated part of the whole banking system in the UK, the stress was transmitted to whole financial system
o BoE aimed to prevent systemic banking crisis to avoid losing its comparative advantage in financial services through London - defended the £ with interest rate increases and OMO but run continued
o BoE also had rapidly falling gold reserves, which would run out
o So devaluation only option left in Sept 1931, preventing a large crisis
- Eichengreen & Sachs (1985) – take comparative approach to devaluation – very positive
o Divide countries into 2 groups – those that devalued & “Gold Bloc” (Belgium, France, Italy & Switzerland) – have a total of 10 countries
o Propose 4 channels for devaluation to effect economic performance – find all 4 key
o Graph % change in industrial production against ER level (1929-1935) – downward sloping, so clear relationship between higher depreciation and higher growth - Eichengreen (1991) – figures show that depreciators/sterling bloc had a lower amplitude Depression (due to early action) and a more robust recovery
- Solomou (1996)
o Estimates gti=a+bRegime+cAmplitude+i (Regime=1 for devaluers)
o b is positive and statistically significant (t=5.57)
o Hence, controlling for amplitude, average growth was 3% p.a. higher in devaluers
o Concludes that initial +ve was trade, persistent +ve was freeing of MP - Reinhart & Rogoff (2009) – cast doubt on positive effects of leaving Gold
o Broader set of countries in sample means effect not visible (especially Latin America) – not that important – many have changed sample and found same result
o Effect not visible if other measures of business cycle are considered – important criticism since most work is done with industrial production (easily accessible data)
o Graph GDP and ER level (1929-35) showing no clear relationship (23 countries) – may depend on what type of country you are (debtor/creditor, MP use etc.)
Devaluation recovery channels: Channel 1: Real Wages (NO) (3)
- By causing inflation, devaluation moderates real wages (assuming nominal wage rigidity)
- Eichengreen & Sachs (1985) show 2 graphs for this case
o Negative relationship between W/P and industrial production
o Positive relationship between W/P and exchange rate - Madsen (2004) – the incorrect wage deflator is used – misleading
o Eichengreen & Sachs (1985) use wholesale prices – inappropriate
o Wholesale prices are misleading – commodities have unduly high weight (fell rapidly), includes M prices (related to ER) and agricultural prices (crisis in 1930s)
o Regressions on wage-setting imply that wages not indexed to wholesale prices, but to value-added price deflator
o Using correct deflators (inc. GDP deflator), real wages continue to rise until 1936
Devaluation recovery channels: Channel 2: International Export Competitiveness (MAYBE) (7) (RBCKS)
- By stimulating exports, devaluation stimulates aggregate demand
- Redmond (1980)
o Calculates effective exchange rate (EER) for GB – weighted avg. of £ vs. all currencies
o Shows that £ remained below August 1931 level through 1936 – LR benefits
o £ appreciates from 1933 onwards, but only slowly - Broadberry (1986) – uses elasticity approach to measure impact
o Takes Redmond (1980)’s figures of 13% EER depreciation 1931-32
o Assumes Marshall-Lerner condition holds
o BoT improves by £80m, and assuming multiplier of 1.75, GDP effect is 3% overall - Chadha et al. (2023) - estimate pass-through coefficient of 0.6 suggesting substantial (but slightly smaller) effect than Broadberry (1986)
- Kitson & Solomou (1990) – ½ of GB trade is with countries tied to sterling, so impact smaller
- Solomou (1996)
o Estimates regression for exports (1932-37) – coefficient on ER regime is statistically insignificant (t=0.85) – exports det. by protectionism & trading blocs
o Initial advantage eroded due to prices & devaluation of Gold Bloc
o Devaluation only had an impact effect (32-33), but no LR effect (eroded by inflation)
o UK – volume of exports in 1937 only 80% of the 1929 level
o Trade hysteresis evident – M shares fell permanently despite higher ER later - Overall, effect appears to be quite weak
o Devaluers’ competitive edge gradually eroded by increased inflation
o Trade increasingly conducted in trading blocs with similar ER strategies
o Gold Bloc itself was devaluing
o Global contraction meant there was insufficient world demand
Devaluation recovery channels: Channel 3: Profitability (YES) (3)
- Eichengreen & Sachs (1985)
o Higher competiveness (via devaluation) leads to higher profit, so more investment
o Also stimulates investment via lower r and higher NPV of future profits
o Tobin’s q=Security Prices/Output Prices - higher value means more incentive to invest
o Graph shows clear negative relationship between ER and Tobin’s q – stimulated I - Solomou & Weale (1997) – evidence from the UK supports this
o Construct UK wealth figures for 1920-1956
o Strong stock market boom in the UK between 1931 and 1936 – 100% increase in value
o Net personal wealth increases a lot – 46% rise 1931-1936, driven by equity holdings
o Wealth to income ratio up from 5 to 6 over this period too - higher consumer confidence - Could also be attributed to ‘cheap money’?