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Vasco Botelho
Economics
- Division
Prices & Costs
- Current Position
-
Senior Economist
- Fields of interest
-
Macroeconomics and Monetary Economics,Labour Economics,Mathematical and Quantitative Methods
- Education
- 2012-2018
PhD in Economics, Duke University
- Professional experience
- 2024-
Senior Economist - Prices and Costs Division, Directorate General Economics, European Central Bank
- 2021-2024
Senior Economist - Supply Side, Labour and Surveillance Division, Directorate General Economics, European Central Bank
- 2018-2020
Economist - Supply Side, Labour and Surveillance Division, Directorate General Economics, European Central Bank
- 18 November 2024
- FINANCIAL STABILITY REVIEW - ARTICLEFinancial Stability Review Issue 2, 2024Details
- Abstract
- Productivity growth in the euro area has been declining for several decades. In light of the importance of bank lending as a source of external funding for euro area firms, this special feature investigates the link between firm productivity and bank credit allocation. Bank credit in the euro area has been skewed towards sectors that have contributed only marginally to aggregate productivity growth, such as real estate. Additionally, bank loans tilted towards less-productive firms within the same sectors during the COVID-19 pandemic, supported by state credit guarantees. Banks with weaker balance sheets lent more to less-productive firms during this period than other banks did. The tilt towards less-productive firms could have an indirect effect on aggregate productivity if the survival of less-productive firms suppresses the profitability of more-productive competitors, discouraging market entry and investment. A more diversified external funding structure could help boost the productivity of euro area firms, to the benefit of financial stability.
- JEL Code
- D24 : Microeconomics→Production and Organizations→Production, Cost, Capital, Capital, Total Factor, and Multifactor Productivity, Capacity
E22 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Capital, Investment, Capacity
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
- 7 June 2024
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 4, 2024Details
- Abstract
- Why are there more firms able to hoard labour than before the pandemic? Firm-level estimates suggest that a 1 percentage point increase in the profit margin of a firm raises the likelihood of that firm hoarding labour by 0.2 percentage points. This suggests that the higher profit margins of firms in recent years have, on average, improved their ability to hoard labour when their own economic outlook has worsened. As a result, a tightening of profit margins may have implications for employment growth.
- JEL Code
- E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
J23 : Labor and Demographic Economics→Demand and Supply of Labor→Labor Demand
- 27 February 2024
- OCCASIONAL PAPER SERIES - No. 339Details
- Abstract
- The productivity-enhancing effects of digitalisation have generated increased interest in the promotion of digital technologies. This report provides different estimations for euro area countries of the impact of digital uptake on productivity at firm level, showing that the adoption of digital technologies could lead to an increase in firms’ productivity in the medium term. However, not all firms and sectors experience significant productivity gains from digital adoption, and not all digital technologies deliver significant productivity gains. The report highlights possible factors behind the low productivity benefits of digitalisation in euro area countries. For example, a lack of strong institutions and governance structures may help to explain why digital diffusion is slower than expected, why it is slower in some countries than others and why the expected productivity benefits from digitalisation have not been fully achieved by now. Furthermore, the report suggests that the full benefits of the digital revolution will be reaped by properly supplying skills to firms and also by investing in computerised information in low-productivity firms.
- JEL Code
- D24 : Microeconomics→Production and Organizations→Production, Cost, Capital, Capital, Total Factor, and Multifactor Productivity, Capacity
E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
E22 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Capital, Investment, Capacity
J24 : Labor and Demographic Economics→Demand and Supply of Labor→Human Capital, Skills, Occupational Choice, Labor Productivity
O33 : Economic Development, Technological Change, and Growth→Technological Change, Research and Development, Intellectual Property Rights→Technological Change: Choices and Consequences, Diffusion Processes
O38 : Economic Development, Technological Change, and Growth→Technological Change, Research and Development, Intellectual Property Rights→Government Policy
C67 : Mathematical and Quantitative Methods→Mathematical Methods, Programming Models, Mathematical and Simulation Modeling→Input?Output Models
- 8 November 2023
- THE ECB BLOGDetails
- JEL Code
- E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
J21 : Labor and Demographic Economics→Demand and Supply of Labor→Labor Force and Employment, Size, and Structure
J24 : Labor and Demographic Economics→Demand and Supply of Labor→Human Capital, Skills, Occupational Choice, Labor Productivity
J64 : Labor and Demographic Economics→Mobility, Unemployment, Vacancies, and Immigrant Workers→Unemployment: Models, Duration, Incidence, and Job Search
J11 : Labor and Demographic Economics→Demographic Economics→Demographic Trends, Macroeconomic Effects, and Forecasts
- 4 August 2023
- WORKING PAPER SERIES - No. 2840Details
- Abstract
- We propose a Bayesian VAR model with stochastic volatility and time varying skewness to estimate the degree of labour at risk in the euro area and in the United States. We model the asymmetry of the shocks to changes in the unemployment rate as a function of real activity and financial risk factors. We find that the conditional distribution of the changes in the unemployment rate displays time-varying volatility and skewness, with peaks coinciding with the Global Financial Crisis and the COVID-19 pandemic. We take advantage of the multivariate nature of our parametric model to measure stagflation risk defined as the possible joint event of large increases in the unemployment rate and large annual rates of inflation. We find an increasing risk of stagflation for the euro area in 2022 while in the United States stagflation risk increased earlier in 2021 and started decreasing more recently. Notwithstanding the significantly high levels of inflation, stagflation risks have been contained by the resilient performance of the labour market in both areas. The degree of labour at risk is therefore important for the assessment of the inflation-unemployment trade-off.
- JEL Code
- C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
C53 : Mathematical and Quantitative Methods→Econometric Modeling→Forecasting and Prediction Methods, Simulation Methods
E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
E27 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Forecasting and Simulation: Models and Applications
- 21 June 2023
- THE ECB BLOGDetails
- JEL Code
- O31 : Economic Development, Technological Change, and Growth→Technological Change, Research and Development, Intellectual Property Rights→Innovation and Invention: Processes and Incentives
O33 : Economic Development, Technological Change, and Growth→Technological Change, Research and Development, Intellectual Property Rights→Technological Change: Choices and Consequences, Diffusion Processes
O47 : Economic Development, Technological Change, and Growth→Economic Growth and Aggregate Productivity→Measurement of Economic Growth, Aggregate Productivity, Cross-Country Output Convergence
- 8 March 2023
- WORKING PAPER SERIES - No. 2794Details
- Abstract
- Is digitalisation a massive gamechanger which will deliver huge gains in productivity, or is it more of a sideshow with only limited impacts? We use a large balance sheet panel dataset comprising more than 19 million European firm-level observations to empirically investigate the impact of digitalisation on productivity growth via various previously unexplored chan-nels and mechanisms. Our results suggest that for two otherwise identical firms, the firm that exhibits on average a higher share of investment in digital technologies will exhibit a faster rate of TFP growth, but not all firms and sectors experience significant productivity gains from digitalisation. Digitalisation does not seem to have relatively stronger impacts on the productivity of frontier firms compared to laggards, nor does it help to turn laggards into frontier firms. Overall, firms should not regard digital investment as a ‘one-size-fits-all’ strategy to improve their productivity. Digital technologies are a gamechanger for some firms. But they seem more like a sideshow for most firms, who attempt to be increasingly digital but are not able to adequately reap its productivity gains.
- JEL Code
- D22 : Microeconomics→Production and Organizations→Firm Behavior: Empirical Analysis
D24 : Microeconomics→Production and Organizations→Production, Cost, Capital, Capital, Total Factor, and Multifactor Productivity, Capacity
D25 : Microeconomics→Production and Organizations
O33 : Economic Development, Technological Change, and Growth→Technological Change, Research and Development, Intellectual Property Rights→Technological Change: Choices and Consequences, Diffusion Processes
- 1 March 2023
- THE ECB BLOGDetails
- JEL Code
- J21 : Labor and Demographic Economics→Demand and Supply of Labor→Labor Force and Employment, Size, and Structure
J61 : Labor and Demographic Economics→Mobility, Unemployment, Vacancies, and Immigrant Workers→Geographic Labor Mobility, Immigrant Workers
J82 : Labor and Demographic Economics→Labor Standards: National and International→Labor Force Composition
Related- 24 February 2023
- THE ECB BLOG
- 20 September 2022
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 6, 2022Details
- Abstract
- The COVID-19 pandemic triggered a temporary decrease in the labour market activity of older workers in the euro area. Our analysis finds that a part of the decrease was driven by a pandemic-induced shift in the retirement decisions of older workers, affecting around 175,000 people. This represents 0.5% of the labour force aged 55-74 retiring earlier than planned due to the pandemic. The heightened economic uncertainty and health risks stemming from the pandemic persuaded some older workers either to bide their time before returning to work or to retire early. Early retirement was most pronounced for workers in poorer health, stressing the growing importance of health risks for labour market developments.
- JEL Code
- E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
J14 : Labor and Demographic Economics→Demographic Economics→Economics of the Elderly, Economics of the Handicapped, Non-Labor Market Discrimination
J26 : Labor and Demographic Economics→Demand and Supply of Labor→Retirement, Retirement Policies
- 20 June 2022
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 4, 2022Details
- Abstract
- The influx of Ukrainian refugees is expected to lead to a gradual increase in the size of the euro area labour force. Back-of-an-envelope median estimates suggest that the influx of Ukrainian refugees could boost the euro area labour force by between 0.2% and 0.8% in the medium term, depending on the duration and the severity of the war. This would result in the labour force gaining between 0.3 and 1.3 million additional workers. However, labour market rigidities and other labour market frictions may slow down the integration process, with the result that Ukrainian refugees are likely to enter the labour force very gradually.
- JEL Code
- E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
J15 : Labor and Demographic Economics→Demographic Economics→Economics of Minorities, Races, Indigenous Peoples, and Immigrants, Non-labor Discrimination
J21 : Labor and Demographic Economics→Demand and Supply of Labor→Labor Force and Employment, Size, and Structure
J61 : Labor and Demographic Economics→Mobility, Unemployment, Vacancies, and Immigrant Workers→Geographic Labor Mobility, Immigrant Workers
- 17 February 2022
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 1, 2022Details
- Abstract
- This box shows that movements of firms along the productivity distribution over time have played a key role in explaining productivity developments in the euro area. The movement of firms along the productivity distribution is mainly driven by the capacity of firms to react to shocks and by incentives to innovate. This applies to both low-productivity firms that want to survive in the market and high-productivity firms that face the risk of falling behind the times. Interestingly, firm productivity has become less dynamic over time, which may reflect an increase in the average age of frontier firms and declining entry rates in the wake of higher market concentration. This decline in firm dynamism highlights the important role of structural policies in incentivising technological innovation and fostering the market entry of highly productive firms and the exit of less-productive firms.
- JEL Code
- D22 : Microeconomics→Production and Organizations→Firm Behavior: Empirical Analysis
D24 : Microeconomics→Production and Organizations→Production, Cost, Capital, Capital, Total Factor, and Multifactor Productivity, Capacity
E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
D61 : Microeconomics→Welfare Economics→Allocative Efficiency, Cost?Benefit Analysis
- 21 September 2021
- OCCASIONAL PAPER SERIES - No. 275Details
- Abstract
- This report discusses the role of the European Union’s full employment objective in the conduct of the ECB’s monetary policy. It first reviews a range of indicators of full employment, highlights the heterogeneity of labour market outcomes within different groups in the population and across countries, and documents the flatness of the Phillips curve in the euro area. In this context, it is stressed that labour market structures and trend labour market outcomes are primarily determined by national economic policies. The report then recalls that, in many circumstances, inflation and employment move together and pursuing price stability is conducive to supporting employment. However, in response to economic shocks that give rise to a temporary trade-off between employment and inflation stabilisation, the ECB’s medium-term orientation in pursuing price stability is shown to provide flexibility to contribute to the achievement of the EU’s full employment objective. Regarding the conduct of monetary policy in a low interest rate environment, model-based simulations suggest that history-dependent policy approaches − which have been proposed to overcome lasting shortfalls of inflation due to the effective lower bound on nominal interest rates by a more persistent policy response to disinflationary shocks − can help to bring employment closer to full employment, even though their effectiveness depends on the strength of the postulated expectations channels. Finally, the importance of employment income and wealth inequality in the transmission of monetary policy strengthens the case for more persistent or forceful easing policies (in pursuit of price stability) when interest rates are constrained by their lower bound.
- JEL Code
- E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
- 20 September 2021
- ECONOMIC BULLETIN - ARTICLEEconomic Bulletin Issue 6, 2021Details
- Abstract
- This article analyses the evolution of hours worked per worker in the euro area, in the light of their relevance for the labour contribution to the production of goods and services and for the capacity of the labour market to adjust to macroeconomic developments. Annual hours worked per worker in the euro area have been on a downward trend. Between 1995 and 2019, they declined by more than a hundred hours per worker, from 1,681 to 1,476. Most of this decline results from a rising share of part-time work which in turn can mainly be explained by the increasing labour force participation of women. Labour supply factors have a clear impact as most people working part-time do so voluntarily. Hours worked per worker also play an important role in the adjustment of the labour market during cyclical downturns, as some firms choose to reduce hours per worker to protect employment. This feature is an important factor in assessing the strength of the labour market during subsequent recoveries.
- JEL Code
- E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
J22 : Labor and Demographic Economics→Demand and Supply of Labor→Time Allocation and Labor Supply
- 23 June 2021
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 4, 2021Details
- Abstract
- This box documents the impact of the coronavirus (COVID-19) crisis on the euro area labour market for men and women. Based on available data up to the end of 2020, the COVID-19 crisis led to a decline in the labour force, a fall in employment and an increase in unemployment, with different developments for men and women across time. Preliminary evidence suggests that workers from both genders benefited from the widespread use of job retention schemes. Still, the decline in average hours worked was somewhat more pronounced for men than for women. The reasons behind the decline in average hours worked differed across gender, with the decline in average hours worked for men driven in part by a decrease in contractual hours and for both men and women by ad hoc reductions in hours worked. This, in turn, increased the gap between the actual hours worked and the contractual hours of work. These developments can also be attributed to the asymmetric sectoral impact of the COVID-19 crisis. Overall, the available evidence suggests that both men and women were strongly affected by the impact of the COVID-19 crisis on the euro area labour market.
- JEL Code
- E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
J11 : Labor and Demographic Economics→Demographic Economics→Demographic Trends, Macroeconomic Effects, and Forecasts
J16 : Labor and Demographic Economics→Demographic Economics→Economics of Gender, Non-labor Discrimination
J21 : Labor and Demographic Economics→Demand and Supply of Labor→Labor Force and Employment, Size, and Structure
- 6 January 2021
- ECONOMIC BULLETIN - ARTICLEEconomic Bulletin Issue 8, 2020Details
- Abstract
- This article analyses labour market developments in the euro area since the onset of the coronavirus (COVID-19) pandemic. Total hours worked declined sharply in the first half of 2020. However, employment and unemployment reacted only weakly to the marked fall in GDP, as many workers remained employed under job retention schemes. These contributed to a fall in compensation per employee and an increase in compensation per hour worked. Participation in the labour force also dropped substantially, more than offsetting the increase observed since mid-2013. An analysis of the decomposition of labour market shocks via a sign-restricted structural vector-autoregressive model shows that both supply and demand shocks contributed to the decline in total hours worked. High-frequency indicators on hiring rates and job postings have declined sharply since April and continue to indicate a depressed level of labour demand. However, employment and hours worked recovered somewhat in the third quarter. Nonetheless, the COVID-19 pandemic is having a heterogeneous impact on employment across euro area countries and there is the risk of a further increase in geographic divergence in euro area labour markets. Temporary employees, the young and workers with low levels of education were the most affected, while teleworking may have played a role in supporting employment and hours worked for some workers in certain sectors. Activity sectors such as trade and transport and recreation activities have been disproportionately affected, with the largest decreases in hours worked. However, it is too early to assess the extent to which the pandemic will affect the need for labour reallocation across sectors, tasks and occupations.
- JEL Code
- E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
E65 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→Studies of Particular Policy Episodes
- 29 July 2020
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 5, 2020Details
- Abstract
- This box examines high-frequency data to quantify the impact of the coronavirus (COVID-19) pandemic on both job postings and hiring patterns in the euro area. Prior to the COVID-19 crisis, both of these indicators had increased steadily year on year, reflecting a rise in the number of job findings in the euro area. However, both the Indeed job postings and the LinkedIn hiring rate have declined significantly since the onset of the COVID-19 crisis and the lockdowns, with the hiring rate bottoming out in May 2020. While the decline in the hiring rate was broad-based across sectors, the intensity of the COVID-19 shock is asymmetric, with sectors such as recreation, travel and manufacturing being more affected by the crisis than others, such as healthcare, software and IT services sectors. Based on the high-frequency information derived from the hiring rate, the implied unemployment rate is expected to peak during the second quarter of 2020 and to be around 2.3 percentage points higher than in February. Overall, the methodology and the high-frequency data used in this box allow for a timely assessment of developments in the euro area labour market. The use of job flows in and out of unemployment helps to enhance our understanding of the labour market adjustment during the current COVID-19 crisis.
- JEL Code
- E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
E27 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Forecasting and Simulation: Models and Applications
- 29 July 2020
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 5, 2020Details
- Abstract
- This box analyses labour market developments in the euro area since the onset of the coronavirus (COVID-19) pandemic, contrasting the developments in business and consumer survey data with the main headline labour market indicators for the euro area. On the one hand, business and consumer survey data point to a strong deterioration in the euro area labour market since the introduction of the containment measures to limit the spread of the virus. On the other hand, the extensive margin of the labour market has shown a muted response, with both employment and unemployment adjusting moderately to the COVID-19 shock. The adjustment of the euro area labour market is occurring instead via a strong decline in the average number of hours worked per employed person, shaped by the widespread use of short-time work schemes in the euro area. These schemes have been successful in containing dismissals, supporting incomes and helping firms to effectively reduce their payroll costs and liquidity needs, while maintaining the worker-job relationship. However, the continued success of the widespread use of short-term work schemes in supporting the euro area labour market depends critically on the dynamics and duration of the crisis.
- JEL Code
- E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
E65 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→Studies of Particular Policy Episodes
- 18 June 2020
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 4, 2020Details
- Abstract
- This box examines regional developments in labour input within the euro area since the peak in economic activity before the global financial crisis (GFC). It reveals that the increase in total hours worked during the recovery that followed the GFC was greater than the decline during the recession only for regions at the top of the GDP per capita distribution. Overall, the evolution of total hours worked in the euro area between 2007 and 2018 was quite heterogeneous across regions, with hours worked being more insulated from the fall in GDP in richer regions during the recession period and poorer regions not converging with their richer counterparts during the recovery that followed. The smaller decline in total hours worked in the richer regions during the downturn and the similar growth rates observed during the recovery are the main sources of the regional heterogeneity in the time pattern of total hours worked, and can be attributed to changes in the employment rate, to the decline in average hours worked during the recession period, and to the stability of regional differences in population growth during both periods, with the latter factor being consistent with labour migrating from poorer to richer regions.
- JEL Code
- E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
- 27 December 2019
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 8, 2019Details
- Abstract
- This box proposes two complementary tools for assessing the performance of the labour market in the euro area. The first is a visualisation tool in the form of a spider chart that displays 18 variables characterising the current euro area labour market conditions. The second applies a principal component analysis to the variables in the spider chart and summarises the information on labour market conditions in two indicators: level of activity and labour market momentum. These indicators show that, in the second quarter of 2019, the level of activity in the euro area labour market was at a level comparable with the pre-crisis peak, while the labour market momentum remains elevated but is declining somewhat. The analysis suggests that there is scope for the level of activity in the euro area labour market to continue to improve in the near term, benefiting from an overall still positive labour market momentum.
- JEL Code
- E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
- 5 November 2019
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 7, 2019Details
- Abstract
- This box assesses the current cyclical position of the euro area labour market by means of a stylised tracer for employment and output fluctuations using the Purchasing Managers’ Index (PMI) survey data. This tracer points towards a slowdown in the labour market since February 2018, with the services sector continuing to support employment growth in the euro area, while manufacturing employment has been in a downturn since May 2019. A more granular approach suggests the weakness in manufacturing is more prevalent in the capital goods and motor vehicles industries, while the resilience of the services sector is perceived to be broad-based across industries. Looking ahead downward risks stemming from the transmission of the weakness in manufacturing to the services sector may arise, strengthening the need for close monitoring of the euro area labour market.
- JEL Code
- E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
- 24 September 2019
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 6, 2019Details
- Abstract
- This box looks at the current employment expansion in the euro area and compares it with past periods of employment growth. It uses annual data for the period 1960-2018 and shows that: (i) the current employment expansion is so far not particularly lengthy in comparison with past recoveries; (ii) the current employment expansion is more employment-rich than previous expansions as employment growth has been stronger relative to GDP growth than it was in the past; (iii) the fast-paced decline in the unemployment rate has been a notable feature of the current expansion; and (iv) the decline in unemployment and the increase in employment in the current expansion have occurred alongside moderating labour costs, but that moderation has been weaker than in the previous expansion., (ii) the current employment expansion is more employment-rich than previous expansions as employment growth has been stronger relative to GDP growth than it was in the past, (iii) the fast-paced decline in the unemployment rate has been a notable feature of the current expansion, and (iv) the decline in unemployment and the increase in employment in the current expansion have occurred alongside moderating labour costs, but that moderation has been weaker than in the previous expansion.
- JEL Code
- E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
- 19 March 2019
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 2, 2019Details
- Abstract
- This box highlights the importance of the labour market to sustain economic growth since the beginning of the recovery and underlines the current labour market strength in the face of the recent slowdown in real GDP growth.
- JEL Code
- C13 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Estimation: General
E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
- 2024
- European Economic Review