Boom, bust and recovery in the Baltic states, 1998-2018
Employment trends in the Baltic states, 2007-2017 (projections to 2019)
Change of unemployment in OECD countries over the financial crisis, 2007-2015
Evolution of labour market participation in Latvia, 2007-2018
Real wage changes in OECD countries, 2007-2015
Evolution of national minimum wages in OECD countries, 2007-2016
Estimates of the shadow economy in the Baltic States, 2009‑2017
Evolution of employment in Latvia by sector, 2008-2017
Flows into and out of unemployment in Latvia, 2008-2014
Discouraged workers in Latvia and other OECD countries
Labour market outcomes of emigrants returning to Latvia, 2012-2016
Labour demand in European OECD countries, 2012 and 2018
Skill needs in the Latvian economy, 2015
Contract duration for new hires and over-qualification rates in European OECD countries, 2015/2016
The wage premium for skills in OECD countries, 2015 or latest available year
Structural component of the Latvian unemployment rate
Long-term unemployment in OECD countries, 2017
Unemployment duration in Latvia
Unemployment in Latvian regions, 2016
Employment and unemployment in Latvia by sex and age group, 2016/2017
Gender gap in reservation wages of registered unemployed aged 45‑64 by educational attainment, 2012‑2017
Unemployment rates of youth and older workers in OECD countries, 2017
Employment, unemployment and discouraged workers in Latvia by educational attainment and employment history, 2016
Public spending on labour market policies in OECD countries
Participation in ALMP among registered unemployed and jobless persons seeking work, European OECD countries
Participation of registered unemployed in ALMP in Latvia by unemployment duration
Characteristics of participants in ALMPs (entrants), Latvia, 2016
Expenditures on unemployment benefits and unemployment assistance in OECD countries
Relative levels of social assistance in OECD countries
Receipt of benefits and social assistance in Latvia by situation in the labour market, 2012‑2016
Growth in recipients of disability pensions, European OECD countries
Strictness of sanctions applicable to unemployment benefits in OECD and EU countries
Outflows from the status of registered unemployed by reason, Latvia, 2016
Registered parts of vacancies and unemployed persons
Job search and registration with the SEA in selected groups, 2012-2016
Registration with the public employment service and receipt of unemployment benefit by unemployment duration in Latvia, 2017
Groups of jobseekers registered with the public employment service in selected OECD countries
Job search of unemployed persons in Latvia, by unemployment duration
Caseloads of public employment services in selected OECD countries, 2014
Occupational earnings premia in the Baltic states and the OECD
Type of educational attainment among individuals with upper‑secondary but without tertiary education among EU countries
Proportion of the workforce participating in education
Main types of formal and non‑formal training
Length and duration of trainings and Measures to Improve Competitiveness
Number of unemployment spells experienced
Distribution of spell lengths by number of recorded unemployment spells
Participation in ALMP measures
Multiple participations in ALMP measures
Variation in the start of ALMP measures
Participation in multiple trainings
Spell length and hazard rates among trained and untrained individuals
Estimated effects of trainings on employment and earnings
Number of all accredited training sites (SEA partner sites) by municipality in Latvia
Annex Figure 3.A.1. Breakdown of average lengths for second, third, fourth and fifth unemployment spells
Annex Figure 3.A.2. Hazard rates of trained and untrained women and men
Annex Figure 3.A.3. Estimated effects of training on employment and earnings by gender
Annex Figure 3.A.4. Estimated effects of training on employment and earnings by age
Annex Figure 3.A.5. Estimated effects of training on employment and earnings by urbanicity
Annex Figure 3.A.6. Estimated effects of training on employment and earnings by skill level
Annex Figure 3.A.7. Estimated effects of training on employment and earnings by social assistance receipts
Annex Figure 3.A.8. Estimated effects of training on employment and earnings depending on participation in other substantive ALMPs
Annex Figure 3.A.9. Estimated effects of training on employment and earnings depending on participation in mobility support
Annex Figure 3.A.10. Estimated effects of training on employment and earnings depending on participation in Measures to Improve Competitiveness
Annex Figure 3.A.11. Number of accredited formal training sites (SEA partner sites) by municipality in Latvia
Annex Figure 3.A.12. Number of accredited non‑formal training sites (SEA partner sites) by municipality in Latvia
Indicators for the urban-rural divide in OECD countries, 2013/2014
Regional differences in unemployment rates, 2017 or latest available year
Relevant groups for labour market policy by degree of urbanisation in Latvia
Regional unemployment of Latvians and non-Latvians, 2014-2016
Unemployed Latvians and non-Latvians by previous sector of activity, 2014-2016
Internal migration trends in Latvia, 2000-2018
Estimated regional mobility rates for unemployed persons in selected European OECD countries, 2013-2016
Willingness of unemployed persons aged 15-34 to be mobile for a job, European countries, 2016 or latest available year
Rates of employment-related mobility among registered unemployed, 2012-2017
Employment-related mobility of registered unemployed between regions, 2012-2017
Indicators for housing costs in Latvia, 2007-2017
Monthly rents paid by employed persons in Latvia’s regions, 2012/13 and 2015/16
Participants in the programme for regional mobility, 2012-2017
Monthly rates of mobility to take up employment by unemployment duration, 2012-2017
Self-employed persons in Latvia’s regions, 2012-2016
Entrepreneurship in selected OECD countries by type of region, 2015
Transition from unemployment to self-employment, European OECD countries, 2015/2016
Entrepreneurship and needs for entrepreneurship skills of youth and older workers, 2012-2016
Employment outcomes of participants in the programme for entrepreneurship and self-employment, 2012-2017
Benefit beneficiaries, by type of benefit, 2012-2017
Disability benefit recipients by age group and labour force status
Disability benefit (DB) recipients by months spent on benefit and number of benefit spells per individual
Probability of leaving the disability benefit
Labour force status of former disability beneficiaries, 2012‐2017
Unemployment benefit (UB) recipients by months spent on benefit and number of benefit spells per person
Unemployment benefit (UB) recipients by months spent on benefit and mean length of benefit spell, 2006-2017
GMI benefit recipients by months spent on GMI and number of GMI spells per recipient, 2012-2017
Distribution of GMI benefit recipients by months spent on benefit, 2010-2017
Likelihood of exiting GMI benefits
Socio-economic characteristics of GMI benefit recipients by duration of benefit spell, 2016-2017
Socio-economic characteristics of GMI benefit recipients who stayed on the benefit during the full biennial period
Spending on employment incentives has grown over time in Latvia
Share of firms hiring unemployed persons on employment subsidies
Number of participations in employment subsidies per participant
Employment subsidies seem well targeted
More than half of the participants in the subsidy programme were unemployed for six months or less prior to participation
Many subsidy beneficiaries combine different ALMPs
Labour market outcomes of programme participants
The effect of programme participation on the probability of employment
A short-lived change in the maximum duration of the subsidy for persons with disabilities
Number of participations in the public works programme per person
Labour market outcomes of public works participants, at one, three, six and twelve months after the end of the programme
Annex Figure 5.A.1. Probability of exit from unemployment benefits
Annex Figure 5.A.2. Inflows into disability benefits, 2012-2017
Annex Figure 5.A.3. Socio -economic characteristics of GMI benefit recipients and non-GMI beneficiaries, 2016-2017
Annex Figure 5.A.4. The effect of programme participation on the probability of employment, results from Propensity Score Matching