Books in the Studies in Empirical Economics series

This study, based on a symposium on empirical public finance, indicates the diversity of empirical approaches that have been used to shed light on the problems of applied public finance and its application.

This change in the monetary system requires that a Eur opean Central Bank is set up and a common monetary policy is pursued.

to tackle problemsofeconomic policy in a more effectivemanner.Giventhattheevaluationofpolicyoptions requiresasoundunderstandingofboththenatureandmag­ nitudeofeconomic,behaviouralandinstitutionalconstraints Preface VI thatarefaced bygovernments,there isaneedforempirical analysisofunderlyingpolicyquestionsandissues. Thiscollectionofessays on empirical finance indicates thatempiricalassessmentispossibleusingarichanddiverse setofempirical approaches. The various papers exemplify someofthevarioustechniquesthatcan beused byapplied researchersforsheddinglightonthequestionsofinterestin appliedpublicfinanceanditsapplications.

Subject and purpose of the book is the investigation of economic policy issues with the help of non-cooperative game theory. The most important feature of our work is to look at the possible strategic interactions between various economic agents and/or institutions.

Complementing classical least squares regression methods which are designed to estimate conditional mean models, quantile regression provides an ensemble of techniques for estimating families of conditional quantile models, thus offering a more complete view of the stochastic relationship among variables.

Shedding light on some of the most pressing open questions in the analysis of high frequency data, this volume presents cutting-edge developments in high frequency financial econometrics.

This change in the monetary system requires that a Eur opean Central Bank is set up and a common monetary policy is pursued.

Complementing classical least squares regression methods which are designed to estimate conditional mean models, quantile regression provides an ensemble of techniques for estimating families of conditional quantile models, thus offering a more complete view of the stochastic relationship among variables.

Shedding light on some of the most pressing open questions in the analysis of high frequency data, this volume presents cutting-edge developments in high frequency financial econometrics.

While in the past educational and training institutions were often seen as providers of necessary skills for national economies, this view has changed, with education and training now being seen as a key ingredient for international competitiveness.

The present book is a collection of panel data papers, both theoretical and applied. Theoretical topics include methodology papers on panel data probit models, treatment models, error component models with an ARMA process on the time specific effects, asymptotic tests for poolability and their bootstrapped versions, confidence intervals for a doubly heteroskedastic stochastic production frontiers, estimation of semiparametric dynamic panel data models and a review of survey attrition and nonresponse in the European Community Household Panel. Applications include as different topics as e.g. the impact of uncertainty on UK investment, a Tobin-q investment model using US firm data, cost efficiency of Spanish banks, immigrant integration in Canada, the dynamics of individual health in the UK, the relation between inflation and growth among OECD and APEC countries, technical efficiency of cereal farms in England, and employment effects of education for disabled workers in Norway.

This work is a collection of panel data papers, both theoretical and applied. Theoretical topics include methodology papers on panel data probit models, treatment models, and error component models.

Traditional trade theory explains trade only by differences between countries, notably differences in their relative endowments of factors of production.

(Kramer/Runde and Drost) and ARFIMA models (Drost).

This book is a collection of state-of-the-art papers on the properties of business cycles and financial analysis. Overall, the book provides a state-of-the-art over view of new directions in methods and results for estimation and inference based on the use of Markov-switching time-series analysis.

The purpose of the book is to explore new ways to analyze recent trends in income inequality and poverty, both from the perspective of quantifying poverty and inequality and quantifyig the impact of various factors on the trends in inequality and poverty.