2019 OECD ECONOMIC SURVEY OF SWEDEN
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http://www.oecd.org/eco/surveys/economic-survey-sweden.htm
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2019 OECD ECONOMIC SURVEY OF SWEDEN http://www.oecd.org/eco/surveys/economic-survey-sweden.htm @OECDeconomy @OECD Key messages Policies should remain responsive to macroeconomic developments Addressing structural weaknesses in housing
@OECD @OECDeconomy
http://www.oecd.org/eco/surveys/economic-survey-sweden.htm
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Real GDP growth
Source: OECD Economic Outlook database.
2 4 6 8
2 4 6 8 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 Y-o-y % change Y-o-y % change Germany Euro area Sweden United States
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Source: OECD Economic Outlook database.
2 4 6 8 10 12 14 16 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 % of labour force ITA DEU FRA SWE Euro area OECD
Unemployment rate
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Source: OECD Labour force statistics database.
10 20 30 40 50 60 70 80 90 TUR GRC ITA MEX CHL ESP BEL FRA KOR LUX POL SVK OECD IRL ISR HUN PRT USA SVN G7 FIN LVA AUT AUS CAN GBR EST CZE NOR DNK DEU NZL JPN NLD SWE CHE ISL % of population aged 15-64
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Source: OECD Economic Outlook database, NIER and Riksbank.
0.0 1.5 3.0 4.5 6.0 7.5 70 72 74 76 78 80 82 84 86 88 90 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 % % Capacity utilisation in manufacturing industry Output gap (rhs)¹ Resource utilisation (rhs)²
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Note: Productivity is measured as GDP per hour worked. Source: OECD, National Accounts, Productivity and Economic Outlook databases.
100 105 110 115 120 125 130 135 140 145 150 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013 2015 2017 1995=100 EU28 JPN USA G7 SWE 100 105 110 115 120 125 130 135 140 145 150 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013 2015 2017 1995=100 DEU DNK FIN NLD SWE
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Source: OECD Economic Outlook database and Riksbank. Policy rates Inflation
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Source: OECD Economic Outlook database.
1 2 3 4
1 2 3 4 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 % of GDP % of GDP Underlying government net lending¹ Government net lending
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Note: This chart shows Sweden’s relative strengths and weaknesses in well-being when compared with other OECD countries. For both positive and negative indicators (such as homicides, marked with an “*”), longer bars always indicate better outcomes (i.e. higher well-being), whereas shorter bars always indicate worse outcomes (i.e. lower well-being). Source: OECD (2017), OECD Better Life Index, www.oecdbetterlifeindex.org.
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Note: The Corruption Perceptions Index uses a scale of zero (highly corrupt) to 100 (very clean). Source: Transparency International.
10 20 30 40 50 60 70 80 90 100 10 20 30 40 50 60 70 80 90 100 DNK NZL FIN SWE CHE NOR NLD CAN LUX DEU GBR AUS AUT ISL BEL EST IRL JPN FRA USA CHL PRT ISR POL SVN CZE LVA ESP KOR ITA SVK HUN GRC TUR MEX
Corruption Perceptions Index, 2018
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Source: OECD Income Distribution Database (IDD). Ratio of ninth to first disposable income decile, 2016 or latest
1 2 3 4 5 Other Nordics Sweden OECD
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Source: OECD Green Growth Indicators database.
CO2 intensity1
0.0 0.1 0.2 0.3 0.4 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 Sweden OECD kg/USD, 2010
Environment-related taxes, % of GDP
0% 1% 2% 3% Sweden OECD (median) Energy, 2014 Motor vehicles, 2014 Other, 2014 Total, 2000
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Source: OECD Economic Outlook database.
50 100 150 200 250 300 350 400 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013 2015 2017 1995=100 Canada Norway Euro area New Zealand Sweden OECD
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Reading note: Sweden’s construction price level is more than 60% above the OECD average compared to less than 40% for the consumer price level. Source: Eurostat.
EU BEL CZE DNK DEU EST IRL GRC ESP FRA ITA LVA LTU LUX HUN NLD AUT POL PRT SVN SVK FIN SWE GBR ISL NOR CHE TUR 20 40 60 80 100 120 140 160 180 200 20 40 60 80 100 120 140 160 180 200 Construction price EU28=100 Consumption price EU28=100
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Source: Preliminary OECD 2018 PMR database (as of 20-02-2019).
1 2 3 4 Overall PMR indicator Public ownership Involvement in business operations Simplification and evaluation of regulations
start-ups Barriers in service & network sectors Barriers to trade and investment Sweden OECD average Average of 5 best performing countries Average of 5 worst performing countries
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Note: An outward (inward) shift of the Beveridge curve over time implies a decrease (increase) in the efficiency of labour market matching. Source: OECD Registered Unemployed and Job Vacancies dataset and Annual Labour Market Statistics, and Statistics Sweden.
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Note: Jobs are at high risk of automation if the likelihood of their job being automated is at least 70%. Jobs at risk of significant change are those with the likelihood of their job being automated estimated at between 50 and 70%. Source: Nedelkoska and Quintini (2018).
10 20 30 40 50 60 70 10 20 30 40 50 60 70 NOR NZL FIN SWE USA GBR DNK NLD CAN BEL IRL EST KOR ISR OECD AUT CZE FRA POL ITA ESP SVN CHL DEU JPN GRC TUR LTU SVK % % Risk of significant change (50-70%) High risk of automation (>70%)
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Note: Low-skilled adults are defined as people scoring at or below a PIAAC literacy score of 225 points. Source: OECD calculations based on the Survey of Adult skills (PIAAC).
10 20 30 40 50 60 70 TUR GRC ITA POL SVK FRA JPN ESP SVN KOR ISR BEL CHL AUT OECD EST CZE IRL DEU CAN GBR USA SWE NLD FIN NOR NZL DNK All adults Low-skilled adults
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Source: Musset, P. (2015), “Building Skills for All: A Review of Finland”, OECD Skills Studies.
0% 5% 10% 15% 20% 25% 30% 35% 40% Italy Spain France United States Ireland Poland Northern Ireland England Canada Germany OECD Australia Korea Denmark Austria Estonia Sweden Flanders (Belgium) Czech Republic Norway Slovak Republic Netherlands Finland Japan Both low numeracy and literacy Low numeracy but literacy above level 2 Low literacy but numeracy above level 2
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Sweden’s test results in international skills surveys for children of school age
Note: PIRLS denotes the national average results of fourth-graders in the Progress in International Reading Literacy Study. TIMSS denotes the national average results of eight-graders in the Trends in International Mathematics and Science Study. PISA denotes the national average results of 15-year-olds in the OECD Programme for International Student Assessment. Source: OECD (2016[4]), Mullis et al. (2017[19]; 2016[20]), and Martin et al. (2016[21]).
450 470 490 510 530 550 570 590 450 470 490 510 530 550 570 590 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013 2015 Score points in PISA, TIMSS and PIRLS Score points in PISA, TIMSS and PIRLS PIRLS (reading) PISA (reading) TIMSS (mathematics) PISA (mathematics) TIMSS (Science) PISA (science)
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Between-school grade variation controlling for socio-economic background
Note: Grades are grade point averages of 9th grade pupils. Between-school variation is the share of total grade points variation explained by between-school average grade points variation. Source: Skolverket (2018[6]).
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Difference to PIAAC average by 10-year age cohort
Note: This figure shows that skills in the Swedish population compared to the PIAAC average peaked with the cohorts ending compulsory school (approximately at the age of 15) before the 1990s school reforms. Source: OECD Survey of Adult Skills (2012).
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Note: Negative values indicate higher shortages in schools with low socio-economic status. As reported by school principals. Source: OECD, PISA 2015 Database, Tables II.6.2 and II.6.15.
Shortage of educational staff – difference between advantaged and disadvantaged schools
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Note: Standard deviations change in math scores for a standard deviation change in the exogenous variable. Source: Table 4 in André, Pareliussen and Hwang, forthcoming.
Change in mathematics test score associated with a one standard deviation change in the independent variables
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Note: The figure shows schools sorted into deciles according to their socio-economic mix of pupils. Schools are not weighted by size. Source: Author’s calculations based on André, Pareliussen and Hwang (2019[10]).
Private schools attract pupils with favourable backgrounds
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Source: OECD, TALIS 2013 Database, Tables 7.2 and 7.2 web.
Percentage of teachers who agree that the teaching profession is valued in society
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Share of lower secondary education teachers who report receiving feedback in their current school
Note: Feedback is defined broadly as any communication of the results of a review of an individual’s work, often with the purpose of noting good performance or identifying areas for development. The feedback may be provided formally or informally. Source: OECD, TALIS 2013 Database, Table 5.4.
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André, C., J. Pareliussen and H. Hwang (2019), What drives the performance of Swedish lower secondary schools?, OECD Economics Department Working Papers, forthcoming.