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Níl an t-ábhar seo ar fáil i nGaeilge.

António Dias Da Silva

Economics

Division

Supply Side, Labour and Surveillance

Current Position

Principal Economist

Fields of interest

Labour Economics,Macroeconomics and Monetary Economics,Mathematical and Quantitative Methods

Email

antonio.dias_da_silva@ecb.europa.eu

28 November 2023
RESEARCH BULLETIN - No. 113
Details
Abstract
Recent advances in artificial intelligence have been met with anxiety about the future of jobs. This article examines the link between AI-enabled technologies and employment shares across 16 European countries, finding that occupations potentially more exposed to AI-enabled technologies increased their employment share during the period 2010-19. This has been particularly the case for occupations with a relatively higher proportion of younger and skilled workers.
JEL Code
J23 : Labor and Demographic Economics→Demand and Supply of Labor→Labor Demand
O33 : Economic Development, Technological Change, and Growth→Technological Change, Research and Development, Intellectual Property Rights→Technological Change: Choices and Consequences, Diffusion Processes
25 September 2023
ECONOMIC BULLETIN - BOX
Economic Bulletin Issue 6, 2023
Details
Abstract
The strong rebound in the labour force is a notable development in the euro area labour market and supported the resilient employment growth in recent quarters. In particular, over the last year and a half the main source of employment growth has been the strong inflow of people joining the labour force rather than a fall in the number of unemployed. This box provides an overview of recent euro area labour force developments, using data from Eurostat and the ECB Consumer Expectations Survey. It also analyses the drivers of the euro area labour force using a mixed-frequency Bayesian VAR to disentangle the push and pull factors behind the labour force dynamics.
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
14 July 2023
WORKING PAPER SERIES - No. 2831
Details
Abstract
We examine the link between labour market developments and new technologies such as artificial intelligence (AI) and software in 16 European countries over the period 2011-2019. Using data for occupations at the 3-digit level in Europe, we find that on average employment shares have increased in occupations more exposed to AI. This is particularly the case for occupations with a relatively higher proportion of younger and skilled workers. This evidence is in line with the Skill Biased Technological Change theory. While there exists heterogeneity across countries, only very few countries show a decline in employment shares of occupations more exposed to AI-enabled automation. Country heterogeneity for this result seems to be linked to the pace of technology diffusion and education, but also to the level of product market regulation (competition) and employment protection laws. In contrast to the findings for employment, we find little evidence for a relationship between wages and potential exposures to new technologies.
JEL Code
J23 : Labor and Demographic Economics→Demand and Supply of Labor→Labor Demand
O33 : Economic Development, Technological Change, and Growth→Technological Change, Research and Development, Intellectual Property Rights→Technological Change: Choices and Consequences, Diffusion Processes
7 June 2023
THE ECB BLOG
Details
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
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
16 May 2023
WORKING PAPER SERIES - No. 2817
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Abstract
Probabilistic job loss expectations elicited in the Consumer Expectations Survey have predictive power for future job loss. We find that an unexpected job loss leads to a negative consumption response, while this e˙ect is muted for workers with ex-ante job loss expectations - consistent with the Permanent Income Hypothesis. The negative consumption response to an unexpected job loss is stronger for workers who have worse perceptions of the local labour market, are older or have lower levels of liquid wealth. This supports the notion that the persistence of the unemployment shock is an important factor of the consumption response to a job loss. At the same time, we do not find a positive consumption response of workers who unexpectedly retain their job. These heterogeneous results have important implications for the expected impact on consumption of job protection measures such as job retention schemes.
JEL Code
D12 : Microeconomics→Household Behavior and Family Economics→Consumer Economics: Empirical Analysis
D84 : Microeconomics→Information, Knowledge, and Uncertainty→Expectations, Speculations
J63 : Labor and Demographic Economics→Mobility, Unemployment, Vacancies, and Immigrant Workers→Turnover, Vacancies, Layoffs
15 February 2023
ECONOMIC BULLETIN - BOX
Economic Bulletin Issue 1, 2023
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Abstract
Work from home (WFH) patterns have changed substantially following the onset of the coronavirus (COVID-19) pandemic and point to a persistently increased preference for remote work among workers. According to the ECB Consumer Expectations Survey (CES), over 60% of workers had never worked from home before the pandemic, a share that then dropped to below 40% in the months following its onset. Around two-thirds of workers would still like to work remotely at least one day a week after the COVID-19 pandemic ends. Workers’ WFH preferences are broadly aligned with the preferences they perceive their employers to have. However, if workers have WFH preferences that exceed those they perceive their employers to have, they are more likely to change jobs. Two key factors affecting workers’ WFH preferences are their occupations and commute times.
JEL Code
J2 : Labor and Demographic Economics→Demand and Supply of Labor
22 September 2022
ECONOMIC BULLETIN - BOX
Economic Bulletin Issue 6, 2022
Details
Abstract
Employment growth in the public sector has played an important role in supporting total employment during the pandemic. Following the small decline in public sector employment and the trough in economic activity in the second quarter of 2020, public sector employment has contributed about 1 percentage point (1.5 million persons) to the cumulative total employment growth of about 4.2% (6.6 million persons). Most of the employment growth in the public sector is associated with the health and education sub-sectors. In both of these sub-sectors, activity has not only increased during the pandemic but has also shown a positive trend over time. Specifically, unlike during previous euro area crises, temporary employment in the public sector has risen during the coronavirus (COVID-19) crisis and remains above its underlying trend by about 300,000 persons (0.2% of the euro area labour force). This increase in temporary public sector employment is itself driven mostly by the education and health sub-sectors and is probably due in particular to the health measures associated with the COVID-19 pandemic. As the impact of the pandemic recedes, this increase could be partly reversed.
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
21 March 2022
ECONOMIC BULLETIN - BOX
Economic Bulletin Issue 2, 2022
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Abstract
This box analyses the current labour market recovery using data from the ECB Consumer Expectations Survey (CES). The CES allows for unique insights into the expectations and perceptions of labour market participants in the largest six countries of the euro area. We show that discouragement and unemployment perceptions declined as labour market conditions improved, while job-to-job transitions increased and so did earnings expectations. Despite the severity of the COVID-19 crisis there is no strong evidence in CES survey responses of a substantial deterioration in skill match and job satisfaction.
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
J62 : Labor and Demographic Economics→Mobility, Unemployment, Vacancies, and Immigrant Workers→Job, Occupational, and Intergenerational Mobility
8 December 2021
OCCASIONAL PAPER SERIES - No. 287
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Abstract
The Consumer Expectations Survey (CES) is an important new tool for analysing euro area household economic behaviour and expectations. This new survey covers a range of important topical areas including consumption and income, inflation and gross domestic product (GDP) growth, the labour market, housing market activity and house prices, and consumer finance and credit access. The CES, which was launched as a pilot in January 2020, is a mixed frequency modular survey, which is conducted online. The survey structure and centralised data collection ensures the collection of harmonised quantitative and qualitative euro area information in a timely manner that facilitates direct cross-country comparisons. During the pilot phase, it was conducted for the six largest euro area countries and contained 10,000 individual respondents. In the context of the coronavirus (COVID-19) pandemic, the CES has been used to gather useful information on the impact of the crisis on the household sector and the effectiveness of policy measures to mitigate the effects of the pandemic. The CES also collects information on the public’s overall trust in the ECB, their knowledge about its objectives and the channels through which they learn about its monetary policy and other central bank-related topics. This paper describes the key features of this new ECB survey – including its statistical properties – and offers a first evaluation of the results from the pilot phase. It also identifies a number of areas where the survey can be usefully developed further. Overall, the experience with the CES has been very positive, and the pilot survey is considered to have achieved its main objectives.
JEL Code
C42 : Mathematical and Quantitative Methods→Econometric and Statistical Methods: Special Topics→Survey Methods
D12 : Microeconomics→Household Behavior and Family Economics→Consumer Economics: Empirical Analysis
D14 : Microeconomics→Household Behavior and Family Economics→Household Saving; Personal Finance
E21 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Consumption, Saving, Wealth
E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
21 September 2021
OCCASIONAL PAPER SERIES - No. 275
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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 - ARTICLE
Economic Bulletin Issue 6, 2021
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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
6 January 2021
ECONOMIC BULLETIN - ARTICLE
Economic Bulletin Issue 8, 2020
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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 - BOX
Economic Bulletin Issue 5, 2020
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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 - BOX
Economic Bulletin Issue 5, 2020
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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
17 June 2020
ECONOMIC BULLETIN - BOX
Economic Bulletin Issue 4, 2020
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Abstract
This box reviews recent developments in short-time work and temporary lay-off schemes in the five largest euro area countries. It then calculates wage replacement rates and estimates take-up rates. Combining wage replacement rates with the estimated number of participants makes it possible to calculate the impact of short-time work on household disposable income. The box concludes that short-time work and temporary lay-off measures are significantly buffering the impact of COVID-19 on households’ disposable income.
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
27 December 2019
ECONOMIC BULLETIN - BOX
Economic Bulletin Issue 8, 2019
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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
31 October 2019
WORKING PAPER SERIES - No. 2324
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Abstract
We investigate the relationship between hours per worker and employment polarisation. Our core question is whether hours per worker follow the same polarisation patterns as previously observed for employment, measured by either heads or total hours. Using the occupational task index measures of Acemoglu and Autor (2011), we find large relative declines in hours per worker in routine manual jobs – precisely the occupations most negatively affected by employment polarisation from routine-biased technical change. We also find a lower relative decline in hours per worker for non-routine cognitive analytical jobs, which are growing through polarisation. At the same time, hours per worker declined significantly more than the trend for non-routine manual physical occupations. Instead of a polarisation pattern, we find that hours per worker have been declining more in manual jobs (routine manual and non-routine manual physical). These patterns are observed across age, gender and education groups, with few exceptions and changes in intensity. The decline in hours per worker occurred mostly within sectors. Using a wage ranking of occupations instead of occupational task indices, the decline in hours per worker is monotonically related to wages. The results are specific to the European countries and the same patterns are not found using data for the United States.
JEL Code
J23 : Labor and Demographic Economics→Demand and Supply of Labor→Labor Demand
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
24 September 2019
ECONOMIC BULLETIN - BOX
Economic Bulletin Issue 6, 2019
Details
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 June 2019
ECONOMIC BULLETIN - ARTICLE
Economic Bulletin Issue 4, 2019
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Abstract
In this article we look at the euro area labour market using the framework underlying the Beveridge curve, which captures the negative relationship between the unemployment rate and the job vacancy rate. The Beveridge curve shows that, at a given moment in time, there are jobs vacant and people unemployed, while the shape and the position of the curve provide important information about the functioning of the labour market. There are two key concepts associated with the Beveridge curve: labour market tightness and matching efficiency. Labour market tightness is the number of vacant posts per each unemployed person and matching efficiency reflects the market’s ability to match individuals to jobs. We analyse the importance of these two concepts for wage developments using a simple version of the search and matching model, where unemployment, wages and vacancies are jointly determined and the Beveridge curve features prominently. First, we derive two aggregate measures that encapsulate the changes in the vacancy -unemployment space: labour market tightness and matching efficiency. Second, we look at the information content behind market tightness and job matching efficiency to analyse the euro area labour market and its cyclical conditions. Third, aggregate measures of labour market tightness and efficiency are used in a standard wage Phillips curve equation to measure their marginal impact. The results support the view that labour market tightness and labour market efficiency both play a role in explaining wage developments. However, the quantitative implications for wages differ only marginally from those of the standard Phillips curve approach. Overall, labour market efficiency provides an important qualitative margin of labour market functioning that is not captured in standard wage Phillips curve specifications.
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
J63 : Labor and Demographic Economics→Mobility, Unemployment, Vacancies, and Immigrant Workers→Turnover, Vacancies, Layoffs
J64 : Labor and Demographic Economics→Mobility, Unemployment, Vacancies, and Immigrant Workers→Unemployment: Models, Duration, Incidence, and Job Search
19 March 2019
ECONOMIC BULLETIN - BOX
Economic Bulletin Issue 2, 2019
Details
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
20 June 2017
WORKING PAPER SERIES - No. 2078
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Abstract
The objective of this paper is to investigate which factors macroeconomic, policy‐related or institutional ‐ foster the implementation of structural reforms. To this objective, we look at episodes of structural reforms over three decades across 40 OECD and EU countries and link them to such factors. Our results suggest that structural reforms implementation is more likely during deep recessions and when unemployment rates are high. Moreover, the further distant from best practices, the more likely a country implements reforms. External pressures, such as being subject to a financial assistance programme, or being part of the EU Single Market facilitated pro‐competitive reforms. If at all, low interest rates tend to promote rather than discourage structural reforms, while there seems no clear link between fiscal policy and reforms. Moreover, reforms in product markets tend to increase the likelihood of labour market reforms following suit. Many robustness checks have been carried out which confirm our main results.
JEL Code
C23 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Panel Data Models, Spatio-temporal Models
D70 : Microeconomics→Analysis of Collective Decision-Making→General
D72 : Microeconomics→Analysis of Collective Decision-Making→Political Processes: Rent-Seeking, Lobbying, Elections, Legislatures, and Voting Behavior
P11 : Economic Systems→Capitalist Systems→Planning, Coordination, and Reform
P16 : Economic Systems→Capitalist Systems→Political Economy