Included this week:
As discussed in week one, Data for Germany for January 2023 was not available in time for publication of the Flash estimate, the euro area HICP was been calculated using Eurostat estimates for Germany. The Flash estimate had HICP at 8.5% and 5.2% Core for January.
Slight adjustment to the estimate with both series being 10 bps higher than the estimate.
Markets have been speculating on the peak / “terminal” rate for the ECB, what the rate will be and when it will get there. I am sticking with base case of 3.75% heading into the September meeting, made in Jan week 1. - I’d now put this at 75% to 80% chance.
Unsurprisingly the largest decline (on a 12 month moving average) has come in the last year. The pandemic also resulted in a reduction in imports.
There has been an EU wide effort to increase stocks of gas close to capacity since the invasion. This has been helped by a mild winter.
Although increasing generally, one quarter of people ages 55-69 do not have pension coverage.
Foreword: Ireland differs from its European peers in the type of dwellings that make up the housing stock, with a disproportionate number of housing units in urban areas. - Leading to high degrees of under occupation. This will be unsurprising for anyone following the Irish housing market. Leo Varadkar was reportedly alarmed at Ireland “low home-ownership rate”. There is nothing overtly alarming about about a rate which has stabilised around 70% since 2010, approx 5% above the Euro Area average.
Housing investment is yet to recover from the Global Financial Crisis in Italy, Spain and in particular Ireland. Whether these levels were tenable or desirable is a different matter. The dwelling investment index is up 60% from 2010 in chain linked volumes
Ireland has seen a rapid increase in the share of the population that lives in flats. Showing a 3.5 times increase from 2005 to 2021. This increase was skewing the comparable countries and as a result I’ve take Ireland out of the right panel of the graph ro rescale the other European countries.
While the rate of change in the share housed in flats is informative, the levels show how Ireland really compares to its neighbours in terms of housing.
Consider Spain versus France, Spain has 70% of the population living in flats whereas France has 70% living in houses. The Euro Area average is approximately 50-50, Ireland is at vastly different levels to it’s neighbours.
Degrees of Urbanisation as defined by Eurostat, follow link for map of Europe.
Dwelling Types as defined by Eurostat
The largest share by dwelling type for cities in Ireland is Semi-detached houses, where as in Spain it is flats in complexes of more than 10 units.
Flipping the previous charts facet grouping from dwelling type to building (and vice versa) lets us look into more detail the regional variation. While Ireland has a large rural population and therefore you can expect a high number of detached houses in DEG3 the high proportion of semi-detached in DEG2 and particularly DEG1 is the underlying difference between Ireland and its neighbours. There just aren’t many apartments, a function of planning restrictions on height being the obvious factor.
The overcrowding rate is defined as the percentage of the population living in an overcrowded household.
A person is considered as living in an overcrowded household if the household does not have at its disposal a minimum number of rooms equal to:
With the high volume of housing units compared to apartments the comparatively low overcrowding rate s in Ireland are not a surprise.
An under-occupied dwelling is a dwelling deemed to be too large for the needs of the household living in it, in terms of excess rooms and more specifically bedrooms.
If the household living in it has at its disposal more than the minimum number of rooms considered adequate, and equal to:
The reverse of over-crowding.
The housing cost overburden rate is the percentage of the population living in households where the total housing costs (‘net’ of housing allowances) represent more than 40 % of disposable income (‘net’ of housing allowances).
The housing crisis is not obvious from the overburden rate, partly a function of low rates.
As we would expect it is a different situation for renters.
Ireland has the largest share of reduced market renters in the sub 60% median income cohort.
The left panel shows the share of population which are owner occupiers, with Ireland above the Euro Area average. The right panel shows this data indexed to 2010. - Initially showing the largest decline in the sample above, Ireland stabilised approx 5% lower than 2010 levels.
I define income premium as the difference in median earnings between owners and renters expressed as a percentage of the median rent income. The premium for the typical working age population in Ireland is double that of the Euro Area.
I’ve taken two indices to analyse construction cost and investment in housing. - The maps are the selection of countries for each dataset that I’ve chosen based on manually removing outliers/values which skew the scale.
Ireland has followed the trend of significant increases in output price post 2020.
s_adj | unit | geo | time | values | year_qtr |
---|---|---|---|---|---|
NSA | I15 | AL | 2022-07-01 | 111.4 | 2022 Q3 |
NSA | I15 | AT | 2022-10-01 | 149.2 | 2022 Q4 |
NSA | I15 | BA | 2022-07-01 | 131.8 | 2022 Q3 |
NSA | I15 | BE | 2022-07-01 | 134.8 | 2022 Q3 |
NSA | I15 | BG | 2022-10-01 | 226.3 | 2022 Q4 |
NSA | I15 | CH | 2022-10-01 | 115.8 | 2022 Q4 |
NSA | I15 | CY | 2022-07-01 | 123.9 | 2022 Q3 |
NSA | I15 | CZ | 2022-07-01 | 140.3 | 2022 Q3 |
NSA | I15 | DE | 2022-10-01 | 154.7 | 2022 Q4 |
NSA | I15 | DK | 2022-07-01 | 123.2 | 2022 Q3 |
NSA | I15 | EA19 | 2022-10-01 | 135.5 | 2022 Q4 |
NSA | I15 | EA20 | 2022-10-01 | 135.5 | 2022 Q4 |
NSA | I15 | EE | 2022-07-01 | 138.6 | 2022 Q3 |
NSA | I15 | EL | 2022-10-01 | 109.5 | 2022 Q4 |
NSA | I15 | ES | 2022-10-01 | 126.7 | 2022 Q4 |
NSA | I15 | EU27_2020 | 2022-10-01 | 136.4 | 2022 Q4 |
NSA | I15 | FI | 2022-10-01 | 120.4 | 2022 Q4 |
NSA | I15 | FR | 2022-07-01 | 125.7 | 2022 Q3 |
NSA | I15 | HR | 2022-07-01 | 157.0 | 2022 Q3 |
NSA | I15 | HU | 2022-10-01 | 214.7 | 2022 Q4 |
NSA | I15 | IE | 2022-10-01 | 131.4 | 2022 Q4 |
NSA | I15 | IT | 2022-10-01 | 116.3 | 2022 Q4 |
NSA | I15 | LT | 2022-10-01 | 154.1 | 2022 Q4 |
NSA | I15 | LU | 2022-10-01 | 142.1 | 2022 Q4 |
NSA | I15 | LV | 2022-07-01 | 153.9 | 2022 Q3 |
NSA | I15 | ME | 2022-07-01 | 148.3 | 2022 Q3 |
NSA | I15 | MK | 2022-07-01 | 160.0 | 2022 Q3 |
NSA | I15 | MT | 2022-07-01 | 146.5 | 2022 Q3 |
NSA | I15 | NL | 2022-07-01 | 147.6 | 2022 Q3 |
NSA | I15 | NO | 2022-10-01 | 138.3 | 2022 Q4 |
NSA | I15 | PL | 2022-07-01 | 134.6 | 2022 Q3 |
NSA | I15 | PT | 2022-10-01 | 133.6 | 2022 Q4 |
NSA | I15 | SE | 2022-10-01 | 137.5 | 2022 Q4 |
NSA | I15 | SI | 2022-07-01 | 142.5 | 2022 Q3 |
NSA | I15 | SK | 2022-10-01 | 157.1 | 2022 Q4 |
NSA | I15 | TR | 2022-07-01 | 652.1 | 2022 Q3 |
NSA | I15 | UK | 2020-07-01 | 115.4 | 2020 Q3 |
While housing investment has approximately doubled since 2015, it would have to double again to reach pre GFC levels. Neither Spain or Italy have reached pre GFC levels.
While 2015 as a base period was informative for construction costs the proliferation of investment in dwellings before the GFC and subsequent sharp decline makes 2015 a poor reference period for Ireland. To compare with the largest economies in Europe 2010 is a better base period. The second panel is indexed to 2010 and the date is set to 2012
Eurostat used investment as a percentage of GDP as the comparisn in their recent publication on ‘Housing in Europe’. Ireland has the second lowest at 2.1% with this metric, given the anomalies with GDP I’ve chosen the above instead. Here we are approaching the upper end of the countries in the sample.
unit | asset10 | s_adj | geo | time | values | year_qtr |
---|---|---|---|---|---|---|
CLV_I10 | N111G | SCA | AT | 2022-07-01 | 117.071 | 2022 Q3 |
CLV_I10 | N111G | SCA | BG | 2022-07-01 | 124.340 | 2022 Q3 |
CLV_I10 | N111G | SCA | CY | 2022-07-01 | 107.583 | 2022 Q3 |
CLV_I10 | N111G | SCA | CZ | 2022-07-01 | 132.803 | 2022 Q3 |
CLV_I10 | N111G | SCA | DE | 2022-07-01 | 129.609 | 2022 Q3 |
CLV_I10 | N111G | SCA | DK | 2022-07-01 | 188.649 | 2022 Q3 |
CLV_I10 | N111G | SCA | EA | 2022-07-01 | 113.109 | 2022 Q3 |
CLV_I10 | N111G | SCA | EA12 | 2022-07-01 | 112.542 | 2022 Q3 |
CLV_I10 | N111G | SCA | EA19 | 2022-07-01 | 113.109 | 2022 Q3 |
CLV_I10 | N111G | SCA | EE | 2022-07-01 | 328.016 | 2022 Q3 |
CLV_I10 | N111G | SCA | EL | 2022-07-01 | 27.315 | 2022 Q3 |
CLV_I10 | N111G | SCA | ES | 2022-10-01 | 103.037 | 2022 Q4 |
CLV_I10 | N111G | SCA | EU15 | 2019-10-01 | 112.717 | 2019 Q4 |
CLV_I10 | N111G | SCA | EU27_2020 | 2022-07-01 | 117.289 | 2022 Q3 |
CLV_I10 | N111G | SCA | EU28 | 2019-10-01 | 113.715 | 2019 Q4 |
CLV_I10 | N111G | SCA | FI | 2022-07-01 | 125.794 | 2022 Q3 |
CLV_I10 | N111G | SCA | FR | 2022-10-01 | 111.692 | 2022 Q4 |
CLV_I10 | N111G | SCA | HR | 2022-07-01 | 95.852 | 2022 Q3 |
CLV_I10 | N111G | SCA | HU | 2022-07-01 | 179.888 | 2022 Q3 |
CLV_I10 | N111G | SCA | IE | 2022-07-01 | 160.156 | 2022 Q3 |
CLV_I10 | N111G | SCA | IT | 2022-07-01 | 94.113 | 2022 Q3 |
CLV_I10 | N111G | SCA | LT | 2022-07-01 | 239.966 | 2022 Q3 |
CLV_I10 | N111G | SCA | LU | 2022-07-01 | 143.686 | 2022 Q3 |
CLV_I10 | N111G | SCA | LV | 2022-07-01 | 115.793 | 2022 Q3 |
CLV_I10 | N111G | SCA | MT | 2022-07-01 | 211.056 | 2022 Q3 |
CLV_I10 | N111G | SCA | NL | 2022-10-01 | 149.995 | 2022 Q4 |
CLV_I10 | N111G | SCA | NO | 2022-07-01 | 140.830 | 2022 Q3 |
CLV_I10 | N111G | SCA | PL | 2022-07-01 | 156.466 | 2022 Q3 |
CLV_I10 | N111G | SCA | PT | 2022-07-01 | 90.977 | 2022 Q3 |
CLV_I10 | N111G | SCA | RO | 2022-07-01 | 135.509 | 2022 Q3 |
CLV_I10 | N111G | SCA | RS | 2022-07-01 | 106.657 | 2022 Q3 |
CLV_I10 | N111G | SCA | SE | 2022-07-01 | 163.038 | 2022 Q3 |
CLV_I10 | N111G | SCA | SI | 2022-10-01 | 92.334 | 2022 Q4 |
CLV_I10 | N111G | SCA | SK | 2022-07-01 | 183.013 | 2022 Q3 |
CLV_I10 | N111G | SCA | UK | 2020-07-01 | 140.766 | 2020 Q3 |
I’ve pulled in the BIS house price indicies and matched to the output cost and housing investment data for each period where both were observed. A simple scatterplot and correlation for each variable with the appropriate price is included below.
See above scatterplot with yearly construction cost variation on the x-axis and house price variation on the y-axis. The r value indicates a moderate positive correlation between the two variables, with a higher values of costs being associated with higher values of price. - As we would expect.
While it may be surprising to see a low positive correlation between the increase in housing investment and the increase in house prices there are complexities which a simple correlation ignores. - Levels aside, there are lagged effects and regional variations to consider.
All scales adjusted for each country, notable variation in time, region and scale.