This paper examines point and density forecasts from the European Central Bank's Survey of Professional Forecasters. We derive individual uncertainty measures along with individual point- and density-based measures of disagreement. We also explore the relationship between uncertainty and...

The tourism in the rural areas is an important contribution to the local economies and an additional income for the traditional local activities as the agricultural sector. Some traditional rural activities, as the agriculture, sometimes and in some locations are not sufficient to provide an...

Business tendency surveys are a commonly accepted instrument for the assessment ofthe current business cycle course. Most of these surveys rely on qualitative questionsabout the current situation of the firms and about heir expectations for the next months. This paper analyzes whether...

Investment in equipment and machinery is a very important component of GDP. In this paper we examine whether data from business tendency surveys are useful for a timely assessment of current investment behavior. In addition we investigate whether the survey results are helpful for...

Structured additive regression (STAR) models provide a flexible framework for modeling possible nonlinear effects of covariates: They contain the well established frameworks of generalized linear models (GLM) and generalized additive models (GAM) as special cases but also allow a wider class of...

In the paper we analyze determinants of the capital market beta risk in Poland in the monthly period 1996-2002. The beta risk is measured as a time-varying parameter estimated in a regression of the Warsaw stock indexes (WIG and WIG20 separately) on major foreign stock market indexes (DJIA,...

This chapter provides an overview over the recently developed so called multifractal (MF) approach for modeling and forecasting volatility. We outline the genesis of this approach from similar models of turbulent flows in statistical physics and provide details on different specifications of...

The generalized method of moments estimator may be substantially biased in finite samples, especially so when there are large numbers of unconditional moment conditions. This paper develops a class of first order equivalent semi-parametric efficient estimators and tests for conditional moment...

The principal purpose of this paper is to adapt to the conditional moment context the GEL unconditional moment methods described in Smith(1997, 2001) and Newey and Smith(2004). In particular we develop GEL estimators which achieve the semiparametric efficiency lower bound. The requisite GEL...

Consider an observed binary regressor D and an unobserved binary variable D*, both of which affect some other variable Y . This paper considers nonparametric identification and estimation of the effect of D on Y , conditioning on D* = 0. For example, suppose Y is a person's wage, the unobserved...