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Macroeconomic developments
in the Irish housing market
DATE
21st June 2018
Event
Exploring developments in
the Irish housing & mortgage
market
VENUE
ESRI, Whitaker Square,
Sir John Rogerson’s Quay,
Dublin 2
AUTHOR
Kieran McQuinn
Research completed as part of ESRI/Dept of Housing Research Programme on Housing Economics
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie2 21 June 2018
This paper
• First part of the housing research programme
• McQuinn K. (2017): Irish house prices: Deja vu
all over again? Special article, QEC.
• Results here are an update of this paper
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie3 21 June 2018
Outline
• Addresses “stability” of current price levels
• Using a number of approaches
• Cross-country comparisons
• Econometric estimates of:
- Fundamental House Prices
• Conclusions
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie4 21 June 2018
Cross-country developments
Country Q4 1995 – Q4 2007 Q4 2007 – Q4 2013 Q4 2013 – Q4 2017
Ireland 431 -49 57
UK 240 -7 28
Spain 199 -30 6
France 157 -1 2
US 96 -12 25
Italy 89 -16 -8
Germany -5 13 21
Source: Federal Reserve Bank of Dallas
Percentage Change in Nominal Cross-Country House Prices
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie5 21 June 2018
House price to disposable income ratios (2000-2017)
Source: Author’s Analysis
40
50
60
70
80
90
100
110
120
2000Q1 2001Q3 2003Q1 2004Q3 2006Q1 2007Q3 2009Q1 2010Q3 2012Q1 2013Q3 2015Q1 2016Q3
Germany Spain France UK Ireland US Average
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications21 June 20186
• Take the average cross-country ratio
• 𝑃𝑡
𝐼𝑡
𝐴
• Multiply it by the Irish index of disposable income
• 𝑃𝐼𝑡
𝐶𝐹
= 𝐼𝐼𝑡 ×
𝑃𝑡
𝐼𝑡
𝐴
• Scenario suggests:
- Overvaluation in 2006/2007 period followed by
- Undervaluation from 2008 onward
Counter-factual analysis
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie7 21 June 2018
Irish house prices (2000-2017)
Source: Author’s Analysis
40
50
60
70
80
90
100
110
120
130
2000Q1 2001Q3 2003Q1 2004Q3 2006Q1 2007Q3 2009Q1 2010Q3 2012Q1 2013Q3 2015Q1 2016Q3
Counter-factual Actual
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie8 21 June 2018
Irish house price to rent ratio (1990 – 2018)
Source: Author’s Analysis
7.5
9.5
11.5
13.5
15.5
17.5
19.5
21.5
1990Q1 1992Q1 1994Q1 1996Q1 1998Q1 2000Q1 2002Q1 2004Q1 2006Q1 2008Q1 2010Q1 2012Q1 2014Q1 2016Q1 2018Q1
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie9 21 June 2018
Comparison with certain US cities
Source: Author’s Analysis
0
5
10
15
20
25
30
35
40
45
50
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie10 21 June 2018
House price to rent ratio (Dublin v National)
Source: Author’s Analysis
15
16
17
18
19
20
21
22
2008Q2 2009Q2 2010Q2 2011Q2 2012Q2 2013Q2 2014Q2 2015Q2 2016Q2 2017Q2
Ireland_RTB Dublin_RTB
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie11 21 June 2018
Fundamental house price estimates
• Common within Irish house price literature;
Murphy (2005), Roche (2001; 2003), McQuinn & O’Reilly (2007),
Kelly & McQuinn (2014), McQuinn (2014).
• Three different econometric specifications
i. House prices = ƒ(demographics, disposable income
and unemployment rates)
ii. House prices = ƒ(affordability and ratio of housing stock to
population)
iii. House prices = ƒ(disposable income per capita, user cost of capital
and housing stock per capita)
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications21 June 201812
• Results are closely correlated
• At present market is ≈ equilibrium
• Expected developments in
• Affordability, demographics, monetary policy
• Low supply response
• Continued upward housing demand
Fundamental house price estimates
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie13 21 June 2018
Actual and fundamental house price estimates
Source: Author’s Analysis
4
4.1
4.2
4.3
4.4
4.5
4.6
4.7
4.8
4.9
5
2000Q1 2001Q3 2003Q1 2004Q3 2006Q1 2007Q3 2009Q1 2010Q3 2012Q1 2013Q3 2015Q1 2016Q3 2018Q1
InLogs
Actual Model 1 Model 2 Model 3
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie14 21 June 2018
Deviation from fundamental prices (%)
Source: Author’s Analysis
-40
-30
-20
-10
0
10
20
30
40
50
60
2000Q1 2001Q3 2003Q1 2004Q3 2006Q1 2007Q3 2009Q1 2010Q3 2012Q1 2013Q3 2015Q1 2016Q3 2018Q1
Model 1 Model 2 Model 3
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications21 June 201815
• Error-correction model:
• Examine future price movements
• Forecasting from 2018 to 2020
• Values for capital stock, population levels, disposable
income (QEC),
• Interest rates (two scenarios); constant & gradually
increasing rate
Future scenario
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie16 21 June 2018
Future interest rate scenarios (%)
Source: Author’s Analysis
2.50
3.00
3.50
4.00
4.50
5.00
5.50
6.00
2000Q1 2002Q1 2004Q1 2006Q1 2008Q1 2010Q1 2012Q1 2014Q1 2016Q1 2018Q1 2020Q1
Scenario 1 Scenario 2
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie17 21 June 2018
Historical and future house price levels (index)
Source: Author’s Analysis
50.0
60.0
70.0
80.0
90.0
100.0
110.0
120.0
130.0
140.0
2000Q1 2002Q1 2004Q1 2006Q1 2008Q1 2010Q1 2012Q1 2014Q1 2016Q1 2018Q1 2020Q1
Scenario 1 Scenario 2
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications21 June 201818
• Prices fall due to
• Collapse of a bubble
- No sign of one yet
• Significant deterioration in “fundamentals”
- Increase in mortgage rates?
- Sudden decline in income levels?
- Sharp rise in unemployment
• Most unlikely
Could house prices fall in short-run?
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications21 June 201819
• If prices are in equilibrium
• Should move in line with fundamentals?
• Across countries:
- Income elasticity of house prices ≈ 1.5 – 2.0 %
• Most commentators:
- Forecast income growth of 3.5 to 4 %
• Suggests house price increases of 6.5%?
Back of the envelope assessment
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications21 June 201820
Where are recent price increases coming from?
-30
-20
-10
0
10
20
30
2011 2012 2013 2014 2015 2016 2017
Quintile 1 Quintile 2 Quintile 3 Quintile 4 Quintile 5
Figure: Annual Growth (%) in average purchased property prices per quintile
Source: Property Price Register
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie21 21 June 2018
Housing demand now:
• Price increases
• More significant at the lower end of the distribution
(prices)
• Affordability challenges now more pressing
• For the lower end of the income distribution?
• Macro prudential regulations
• Limiting demand at the high end of the price distribution?
• If so
• Similar to other markets – London for example
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie22 21 June 2018
How elastic are prices w.r.t. supply?
• Forecast assumes:
• Sensitivity:
• Keep supply fixed at 18,500 units per annum
• House prices only 0.5 per cent higher than baseline
• Point to note:
• Estimates generated during Celtic Tiger era
Year Supply
2018 23,400
2019 29,700
2020 36,700
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie23 21 June 2018
The role of credit:
• Models assumes a steady-state relationship wherein
credit conditions do not change
• Any changes in mortgage credit availability would have
a strong influence on future house prices
• Models can be augmented to include an indicator for
mortgage credit supply (Duca et al. 2014)
• 1.0 per cent increase in credit supply estimated to
contribute towards a 0.4 per cent increase in prices
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie24 21 June 2018
Influence of Credit Provision
• This responsiveness to credit provision should vary
over time as credit conditions change
• McQuinn (2017) provides an alternative indicator of
mortgage credit provision, producing a time-varying
estimate
• Enables the observation of responsiveness of house
prices to changing credit conditions under an Irish
context
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie25 21 June 2018
Influence of Credit Provision
Credit Elasticity of House Prices
Source: Author’s Analysis
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications21 June 201826
• House price levels converging to fundamental value
• High growth due to
• Past overcorrection in prices &
• Recent improvements in economic variables
• Given the likely strong increase in housing demand
• Economic growth, labour market and demographics
• Policy should avoid further stimulating demand
Specific conclusions
www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications21 June 201827
• Irish market characterised by significant volatility
• Since 1995:
• Significant fluctuations in prices and supply
• Gives rise to speculative behaviour
• Which, in turn accentuates the cycle
• Policy needs to smooth the cycle
• Land market management
• Macroprudential policy (credit)
• Tax treatment
General conclusions

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Macroeconomic developments in the Irish housing market

  • 1. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications @ESRIDublin #ESRIevents #ESRIpublications www.esri.ie Macroeconomic developments in the Irish housing market DATE 21st June 2018 Event Exploring developments in the Irish housing & mortgage market VENUE ESRI, Whitaker Square, Sir John Rogerson’s Quay, Dublin 2 AUTHOR Kieran McQuinn Research completed as part of ESRI/Dept of Housing Research Programme on Housing Economics
  • 2. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie2 21 June 2018 This paper • First part of the housing research programme • McQuinn K. (2017): Irish house prices: Deja vu all over again? Special article, QEC. • Results here are an update of this paper
  • 3. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie3 21 June 2018 Outline • Addresses “stability” of current price levels • Using a number of approaches • Cross-country comparisons • Econometric estimates of: - Fundamental House Prices • Conclusions
  • 4. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie4 21 June 2018 Cross-country developments Country Q4 1995 – Q4 2007 Q4 2007 – Q4 2013 Q4 2013 – Q4 2017 Ireland 431 -49 57 UK 240 -7 28 Spain 199 -30 6 France 157 -1 2 US 96 -12 25 Italy 89 -16 -8 Germany -5 13 21 Source: Federal Reserve Bank of Dallas Percentage Change in Nominal Cross-Country House Prices
  • 5. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie5 21 June 2018 House price to disposable income ratios (2000-2017) Source: Author’s Analysis 40 50 60 70 80 90 100 110 120 2000Q1 2001Q3 2003Q1 2004Q3 2006Q1 2007Q3 2009Q1 2010Q3 2012Q1 2013Q3 2015Q1 2016Q3 Germany Spain France UK Ireland US Average
  • 6. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications21 June 20186 • Take the average cross-country ratio • 𝑃𝑡 𝐼𝑡 𝐴 • Multiply it by the Irish index of disposable income • 𝑃𝐼𝑡 𝐶𝐹 = 𝐼𝐼𝑡 × 𝑃𝑡 𝐼𝑡 𝐴 • Scenario suggests: - Overvaluation in 2006/2007 period followed by - Undervaluation from 2008 onward Counter-factual analysis
  • 7. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie7 21 June 2018 Irish house prices (2000-2017) Source: Author’s Analysis 40 50 60 70 80 90 100 110 120 130 2000Q1 2001Q3 2003Q1 2004Q3 2006Q1 2007Q3 2009Q1 2010Q3 2012Q1 2013Q3 2015Q1 2016Q3 Counter-factual Actual
  • 8. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie8 21 June 2018 Irish house price to rent ratio (1990 – 2018) Source: Author’s Analysis 7.5 9.5 11.5 13.5 15.5 17.5 19.5 21.5 1990Q1 1992Q1 1994Q1 1996Q1 1998Q1 2000Q1 2002Q1 2004Q1 2006Q1 2008Q1 2010Q1 2012Q1 2014Q1 2016Q1 2018Q1
  • 9. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie9 21 June 2018 Comparison with certain US cities Source: Author’s Analysis 0 5 10 15 20 25 30 35 40 45 50
  • 10. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie10 21 June 2018 House price to rent ratio (Dublin v National) Source: Author’s Analysis 15 16 17 18 19 20 21 22 2008Q2 2009Q2 2010Q2 2011Q2 2012Q2 2013Q2 2014Q2 2015Q2 2016Q2 2017Q2 Ireland_RTB Dublin_RTB
  • 11. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie11 21 June 2018 Fundamental house price estimates • Common within Irish house price literature; Murphy (2005), Roche (2001; 2003), McQuinn & O’Reilly (2007), Kelly & McQuinn (2014), McQuinn (2014). • Three different econometric specifications i. House prices = ƒ(demographics, disposable income and unemployment rates) ii. House prices = ƒ(affordability and ratio of housing stock to population) iii. House prices = ƒ(disposable income per capita, user cost of capital and housing stock per capita)
  • 12. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications21 June 201812 • Results are closely correlated • At present market is ≈ equilibrium • Expected developments in • Affordability, demographics, monetary policy • Low supply response • Continued upward housing demand Fundamental house price estimates
  • 13. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie13 21 June 2018 Actual and fundamental house price estimates Source: Author’s Analysis 4 4.1 4.2 4.3 4.4 4.5 4.6 4.7 4.8 4.9 5 2000Q1 2001Q3 2003Q1 2004Q3 2006Q1 2007Q3 2009Q1 2010Q3 2012Q1 2013Q3 2015Q1 2016Q3 2018Q1 InLogs Actual Model 1 Model 2 Model 3
  • 14. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie14 21 June 2018 Deviation from fundamental prices (%) Source: Author’s Analysis -40 -30 -20 -10 0 10 20 30 40 50 60 2000Q1 2001Q3 2003Q1 2004Q3 2006Q1 2007Q3 2009Q1 2010Q3 2012Q1 2013Q3 2015Q1 2016Q3 2018Q1 Model 1 Model 2 Model 3
  • 15. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications21 June 201815 • Error-correction model: • Examine future price movements • Forecasting from 2018 to 2020 • Values for capital stock, population levels, disposable income (QEC), • Interest rates (two scenarios); constant & gradually increasing rate Future scenario
  • 16. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie16 21 June 2018 Future interest rate scenarios (%) Source: Author’s Analysis 2.50 3.00 3.50 4.00 4.50 5.00 5.50 6.00 2000Q1 2002Q1 2004Q1 2006Q1 2008Q1 2010Q1 2012Q1 2014Q1 2016Q1 2018Q1 2020Q1 Scenario 1 Scenario 2
  • 17. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie17 21 June 2018 Historical and future house price levels (index) Source: Author’s Analysis 50.0 60.0 70.0 80.0 90.0 100.0 110.0 120.0 130.0 140.0 2000Q1 2002Q1 2004Q1 2006Q1 2008Q1 2010Q1 2012Q1 2014Q1 2016Q1 2018Q1 2020Q1 Scenario 1 Scenario 2
  • 18. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications21 June 201818 • Prices fall due to • Collapse of a bubble - No sign of one yet • Significant deterioration in “fundamentals” - Increase in mortgage rates? - Sudden decline in income levels? - Sharp rise in unemployment • Most unlikely Could house prices fall in short-run?
  • 19. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications21 June 201819 • If prices are in equilibrium • Should move in line with fundamentals? • Across countries: - Income elasticity of house prices ≈ 1.5 – 2.0 % • Most commentators: - Forecast income growth of 3.5 to 4 % • Suggests house price increases of 6.5%? Back of the envelope assessment
  • 20. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications21 June 201820 Where are recent price increases coming from? -30 -20 -10 0 10 20 30 2011 2012 2013 2014 2015 2016 2017 Quintile 1 Quintile 2 Quintile 3 Quintile 4 Quintile 5 Figure: Annual Growth (%) in average purchased property prices per quintile Source: Property Price Register
  • 21. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie21 21 June 2018 Housing demand now: • Price increases • More significant at the lower end of the distribution (prices) • Affordability challenges now more pressing • For the lower end of the income distribution? • Macro prudential regulations • Limiting demand at the high end of the price distribution? • If so • Similar to other markets – London for example
  • 22. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie22 21 June 2018 How elastic are prices w.r.t. supply? • Forecast assumes: • Sensitivity: • Keep supply fixed at 18,500 units per annum • House prices only 0.5 per cent higher than baseline • Point to note: • Estimates generated during Celtic Tiger era Year Supply 2018 23,400 2019 29,700 2020 36,700
  • 23. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie23 21 June 2018 The role of credit: • Models assumes a steady-state relationship wherein credit conditions do not change • Any changes in mortgage credit availability would have a strong influence on future house prices • Models can be augmented to include an indicator for mortgage credit supply (Duca et al. 2014) • 1.0 per cent increase in credit supply estimated to contribute towards a 0.4 per cent increase in prices
  • 24. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie24 21 June 2018 Influence of Credit Provision • This responsiveness to credit provision should vary over time as credit conditions change • McQuinn (2017) provides an alternative indicator of mortgage credit provision, producing a time-varying estimate • Enables the observation of responsiveness of house prices to changing credit conditions under an Irish context
  • 25. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications@ESRIDublin #ESRIevents #ESRIpublications www.esri.ie25 21 June 2018 Influence of Credit Provision Credit Elasticity of House Prices Source: Author’s Analysis
  • 26. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications21 June 201826 • House price levels converging to fundamental value • High growth due to • Past overcorrection in prices & • Recent improvements in economic variables • Given the likely strong increase in housing demand • Economic growth, labour market and demographics • Policy should avoid further stimulating demand Specific conclusions
  • 27. www.esri.ie @ESRIDublin #ESRIevents #ESRIpublications21 June 201827 • Irish market characterised by significant volatility • Since 1995: • Significant fluctuations in prices and supply • Gives rise to speculative behaviour • Which, in turn accentuates the cycle • Policy needs to smooth the cycle • Land market management • Macroprudential policy (credit) • Tax treatment General conclusions