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Papers by Raul Ramos

Ersa Conference Papers, Sep 1, 2004

Iza Discussion Papers, 2012

Working Papers, 2011

Distintos trabajos han analizado la relevancia del desajuste educativo y de sus consecuencias sob... more Distintos trabajos han analizado la relevancia del desajuste educativo y de sus consecuencias sobre los trabajadores que la padecen. Dicho análisis es especialmente importante en el caso de España, ya que presenta uno de los porcentajes de sobreeducación más elevado de ...

Estudios De Economia Aplicada, 2006

Eastern European Economics

Page 1. 34 EASTERN EUROPEAN ECONOMICS 34 Eastern European Economics, vol. 43, no. 1, JanuaryFebr... more Page 1. 34 EASTERN EUROPEAN ECONOMICS 34 Eastern European Economics, vol. 43, no. 1, JanuaryFebruary 2005, pp. 3458. © 2005 ME Sharpe, Inc. All rights reserved. ISSN 00128775/2005 $9.50 + 0.00. JUAN C. DUQUE, RAUL RAMOS, AND JORDI SURIÑACH ...

The objective of the study is to quantify the wage gap between native and immigrant women in Spai... more The objective of the study is to quantify the wage gap between native and immigrant women in Spain taking into account differences in their characteristics and the need to control for common support. Using the microdata from the Social Security Records (MCVL) and with a matching procedure of Ñopo (2008) we analysed the decomposition of the wage gap. The advantage

Journal of Applied Economics, 2015

The Central and Eastern European Countries and the European Union, 2006

OECD Regional Development Working Papers, 2014

SSRN Electronic Journal, 2000

Letters in Spatial and Resource Sciences, 2014

ABSTRACT Most empirical studies on the Spanish wage curve have ignored the possible spatial inter... more ABSTRACT Most empirical studies on the Spanish wage curve have ignored the possible spatial interaction effects between the regions. This paper reconsiders the Spanish wage curve using more recent data than previous studies and taking into account the role of regional spillovers. From a methodological perspective, we apply the two-step procedure proposed by Bell et al. (2002) to estimate a dynamic wage curve with spatial spillovers. In a first stage, we use microdata from the Spanish Social Security Records (Muestra Continua de Vidas Laborales) to obtain composition-corrected wages that are used in a second stage to estimate a wage curve over the period 2000–2010 allowing for spatial effects of unemployment across regions. Opposite to previous studies, we find that the wage equation is highly autoregressive and that regional spillovers are relevant to explain the relationship between unemployment and wages in the Spanish provinces.

Sozialer Fortschritt, 2008

Abstract Since the publication of the book by Blanchflower and Oswald in 1994, a growing literatu... more Abstract Since the publication of the book by Blanchflower and Oswald in 1994, a growing literature has focused on the analysis of the wage curve, an empirical relationship between individual wages and regional unemployment. The most relevant conclusion of these ...

Ersa Conference Papers, Sep 1, 2004

Iza Discussion Papers, 2012

Working Papers, 2011

Estudios De Economia Aplicada, 2006

Eastern European Economics

Journal of Applied Economics, 2015

The Central and Eastern European Countries and the European Union, 2006

OECD Regional Development Working Papers, 2014

SSRN Electronic Journal, 2000

Letters in Spatial and Resource Sciences, 2014

Sozialer Fortschritt, 2008

The paper analyses the link between human capital and regional economic growth in the European Un... more The paper analyses the link between human capital and regional economic growth in the European Union. Using various indicators of human capital calculated from census microdata, we conclude that the recent economic performance of European regions is associated with an increase in overeducation. In fact, measures of educational mismatch seem to be more strongly connected to regional economic performance than

Economics and Business Letters, Dec 30, 2014

Http Dx Doi Org 10 1080 17421772 2014 904615, Apr 28, 2014

El objetivo de este trabajo es evaluar la efectividad de las políticas activas llevadas a cabo po... more El objetivo de este trabajo es evaluar la efectividad de las políticas activas llevadas a cabo por el Servicio de Ocupación de Cataluña (SOC) durante el año 2005. Los resultados obtenidos a partir de la aplicación de técnicas de matching muestran que la probabilidad de encontrar trabajo para un individuo que participó en alguna de las acciones del SOC analizadas

Ersa Conference Papers, Aug 1, 1999

Investigaciones Regionales, 2005

Revista Economica De Catalunya, 2014

Income inequality is both at the political and academic agenda. Because of the Great Recession, i... more Income inequality is both at the political and academic agenda. Because of the Great Recession, income inequality has experienced an increase in many parts of the world in general and in many European regions in particular. In addition, several academics have signalled inequality as a source of such crisis. Nevertheless, few attempts have been made for conducting the analysis at the regional level. In this work we analyse the main factors behind current trends in inequality in Europe over the last decade. We develop our analysis at the regional level, which adds a new dimension to the existing literature. Our results point to a large diversity in inequality patterns. Inequality is on average lower in more developed regions, but recent increases in inequality seem associated with economic growth. Our results suggest that tertiary specialisation, openness, and technological change, although likely to be associated with economic growth, are also associated with increasing inequalities.

Proceedings of the 22nd International Symposium on Forecasting, 2002

The objective of the paper is to analyse the possibility of improving the forecasts for GDP, inflation, unemployment and other macroeconomic variables for the euro area using the information provided by these surveys. The strategy to test if these indicators provide useful information to improve forecasts of the macroeconomic variables has been the following. First, five different sets of models have been considered (AR, ARIMA, SETAR, Markov switching regime models and VAR) to obtain forecasts for the different quantitative variables and the Root Mean Square Error (RMSE) has been computed for different forecast horizons. Next, information from surveys has been considered to forecast the quantitative variables using four different types of models (autoregressive, VAR models, Markov Switching Regime models and leading indicators models) and different quantification methods (the balance, a principal components based procedure, the Anderson procedure, the Carlson-Parkin and Augmented Carlson-Parkin methods and State-Space models).

When comparing the performance of the models that include information from the survey to the ones that do not, the conclusion seems to be that in many cases some models that include information from the survey obtain lower RMSE than the best model without survey information. In this sense, the obtained results confirm and extend the results of previous research that have considered information from Business and Consumer Surveys to explain the behaviour of macroeconomic variables. The results presented here were obtained under the contract " Forecasting models currently applied to indicators computed on the basis of surveys results " (ECFIN/2002/A3-01), directed by Manuel Artís and Jordi Suriñach. We would like to thank the European Commission and specially Peter Weiss and Pilar Bengoechea for their helpful comments and support. The usual disclaimer applies.

27th CIRET Conference, Sep 2004

Business and consumer surveys have become an essential tool for gathering information about diffe... more Business and consumer surveys have become an essential tool for gathering information about different economic variables. While the fast availability of the results and the wide range of variables covered made them very useful for monitoring the current status of the economy, there is no consensus on their utility for forecasting macroeconomic developments. The objective of the paper is to analyse the possibility of improving the forecasts for GDP, inflation, unemployment and other macroeconomic variables for the euro area using the information provided by these surveys. The strategy to test if these indicators provide useful information to improve forecasts of the macroeconomic variables has been the following. First, five different sets of models have been considered (AR, ARIMA, SETAR, Markov switching regime models and VAR) to obtain forecasts for the different quantitative variables and the Root Mean Square Error (RMSE) has been computed for different forecast horizons. Next, information from surveys has been considered to forecast the quantitative variables using four different types of models (autoregressive, VAR models, Markov Switching Regime models and leading indicators models) and different quantification methods (the balance, a principal components based procedure, the Anderson procedure, the Carlson-Parkin and Augmented Carlson-Parkin methods and State-Space models). When comparing the performance of the models that include information from the survey to the ones that do not, the conclusion seems to be that in many cases some models that include information from the survey obtain lower RMSE than the best model without survey information. In this sense, the obtained results confirm and extend the results of previous research that have considered information from Business and Consumer Surveys to explain the behaviour of macroeconomic variables. The results presented here were obtained under the contract " Forecasting models currently applied to indicators computed on the basis of surveys results " (ECFIN/2002/A3-01), directed by Manuel Artís and Jordi Suriñach. We would like to thank the European Commission and specially Peter Weiss and Pilar Bengoechea for their helpful comments and support. The usual disclaimer applies.