Understanding inter-industry wage structures in the euro area

This paper focuses on the euro area wage structure and its potential determinants from a sectoral viewpoint. Merging information from the OECD Structural Analysis database with data from the EU Labour Force Survey, we construct a cross-country panel of 22 industries in 8 euro area countries for 1991-2002. Data inspection confirms the existence of a fairly stable inter- industry wage structure that is similar across countries. We then apply panel data techniques to identify factors explaining inter-industry wage differentials in the euro area. Both workforce characteristics (e.g., human capital variables) and firm-related characteristics (e.g., capital intensity, productivity) contribute significantly. However, considerable wage heterogeneity across sectors remains. Idiosyncratic sector and country specifics, reflecting different sociocultural and institutional backgrounds, appear to bear a major role. While our paper only uses direct evidence from workforce and firm-related characteristics, we also try to relate the remaining heterogeneity to institutional characteristics, based on available relevant literature. JEL Classification: J31, J24, J51euro area, firm and workforce characteristics, inter-industry wage differentials, Labour market institutions, panel estimation

Wage diversity in the euro area - an overview of labour cost differentials across industries

This Paper provides an overview of the magnitude of sectoral wage differentials in the euro area as a whole. Even when adjusting for structural sectoral features such as the skill structure or the proportion of part-timers, average wage levels in services are substantially lower than in manufacturing. The paper also studies how the euro area wage structure compares with that of the United States and the United Kingdom. It discusses some possible determinants of intersectoral wage differentials in the euro area and their likely implications from a policy perspective. A number of worker characteristics (e.g. age, skills, the proportion of temporary or self-employed) are highly correlated with the structure of wage differentials. At the same time, wage differentials are also highly correlated with sector-specific features such as average firm size or capital intensity. Finally, the paper presents some stylised facts on how the euro area wage structure has evolved since the early 1980s.Intersectoral wage differential; wage determination; euro area.

Understanding Inter-Industry Wage Structures in the Euro Area

This paper focuses on the euro area wage structure and its potential determinants from a sectoral viewpoint. Merging information from the OECD Structural Analysis database with data from the EU Labour Force Survey, we construct a cross-country panel of 22 industries in 8 euro area countries for 1991-2002. Data inspection confirms the existence of a fairly stable inter-industry wage structure that is similar across countries. We then apply panel data techniques to identify factors explaining inter-industry wage differentials in the euro area. Both workforce characteristics (e.g., human capital variables) and firm-related characteristics (e.g., capital intensity, productivity) contribute significantly. However, considerable wage heterogeneity across sectors remains. Idiosyncratic sector and country specifics, reflecting different socio-cultural and institutional backgrounds, appear to bear a major role. While our empirical analysis only uses direct evidence from workforce and firm-related characteristics, we also try to relate the remaining heterogeneity to institutional characteristics, based on related literature.euro area, inter-industry wage differentials, panel estimation, firm and workforce characteristics, labour market institutions

Understanding inter-industry wage structures in the euro area

This paper focuses on the euro area wage structure and its potential determinants from a sectoral viewpoint. Merging information from the OECD Structural Analysis database with data from the EU Labour Force Survey, we construct a cross-country panel of 22 industries in 8 euro area countries for 1991-2002. Data inspection confirms the existence of a fairly stable inter- industry wage structure that is similar across countries. We then apply panel data techniques to identify factors explaining inter-industry wage differentials in the euro area. Both workforce characteristics (e.g., human capital variables) and firm-related characteristics (e.g., capital intensity, productivity) contribute significantly. However, considerable wage heterogeneity across sectors remains. Idiosyncratic sector and country specifics, reflecting different sociocultural and institutional backgrounds, appear to bear a major role. While our paper only uses direct evidence from workforce and firm-related characteristics, we also try to relate the remaining heterogeneity to institutional characteristics, based on available relevant literature

Understanding inter-industry wage structures in the euro area

This paper focuses on the euro area wage structure and its potential determinants from a sectoral viewpoint. Merging information from the OECD Structural Analysis database with data from the EU Labour Force Survey, we construct a cross-country panel of 22 industries in 8 euro area countries for 1991-2002. Data inspection confirms the existence of a fairly stable inter-industry wage structure that is similar across countries. We then apply panel data techniques to identify factors explaining inter-industry wage differentials in the euro area. Both workforce characteristics (e.g., human capital variables) and firm-related characteristics (e.g., capital intensity, productivity) contribute significantly. However, considerable wage heterogeneity across sectors remains. Idiosyncratic sector and country specifics, reflecting different socio-cultural and institutional backgrounds, appear to bear a major role. While our empirical analysis only uses direct evidence from workforce and firm-related characteristics, we also try to relate the remaining heterogeneity to institutional characteristics, based on related literature

Institutional features of wage bargaining in 23 European countries, the US and Japan

This paper presents information on wage bargaining institutions, collected using a standardised questionnaire. Our data provide information from 1995 and 2006, for four sectors of activity and the aggregate economy, considering 23 European countries, plus the US and Japan. Main findings include a high degree of regulation in wage setting in most countries. Although union membership is low in many countries, union coverage is high and almost all countries also have some form of national minimum wage. Most countries negotiate wages on several levels, the sectoral level still being the most dominant, with an increasingly important role for bargaining at the firm level. The average length of collective bargaining agreements is found to lie between one and three years. Most agreements are strongly driven by developments in prices and eleven countries have some form of indexation mechanism which affects wages. Cluster analysis identifies three country groupings of wage-setting institutions. JEL Classification: J31, J38, J51, J58cluster analysis, indexation, institutions, trade union membership, wage bargaining

Institutional Features of Wage Bargaining in 23 European Countries, the US and Japan

This paper presents information on wage bargaining institutions, collected using a standardized questionnaire. Our data provide information from 1995 and 2006, for four sectors of activity and the aggregate economy, considering 23 European countries, plus the US and Japan. Main findings include a high degree of regulation in wage setting in most countries. Although union membership is low in many countries, union coverage is high and almost all countries also have some form of national minimum wage. Most countries negotiate wages on several levels, the sectoral level still being the most dominant, with an increasingly important role for bargaining at the firm level. The average length of collective bargaining agreements is found to lie between one and three years. Most agreements are strongly driven by developments in prices and eleven countries have some form of indexation mechanism which affects wages. Cluster analysis identifies three country groupings of wage-setting institutions

Short-term inflation projections: A Bayesian vector autoregressive approach

In this paper we construct a large Bayesian Vector Autoregressive model (BVAR) for the Euro area that captures the complex dynamic inter-relationships between the main components of the Harmonized Index of Consumer Prices (HICP) and their determinants. The model generates accurate conditional and unconditional forecasts in real-time. We find a significant pass-through effect of oil-price shocks on core inflation and a strong Phillips curve during the Great Recession. © 2013 International Institute of Forecasters.SCOPUS: ar.jinfo:eu-repo/semantics/publishe