Should Forecasters Use Real‐Time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence

In this paper, we investigate whether differences exist among forecasts using real‐time or latest‐available data to predict gross domestic product (GDP). We employ mixed‐frequency models and real‐time data to reassess the role of surveys and financial data relative to industrial production and orders in Germany. Although we find evidence that forecast characteristics based on real‐time and final data releases differ, we also observe minimal impacts on the relative forecasting performance of indicator models. However, when obtaining the optimal combination of soft and hard data, the use of final release data may understate the role of survey information.     

Current account imbalances and financial integration in the euro area

While the current account of the euro area as a whole has remained almost balanced in the past two decades, several member countries have sizeable deficits or surpluses. In this paper, we interpret these imbalances as indicators of net capital flows among the euro-area countries. We distinguish between balances against the euro zone and the rest of the world and examine these for the EU-15 countries. We find that for euro members the net flows follow differences in per-capita incomes, even before the introduction of the euro. Our results show further that with the introduction of the common currency the elasticity with respect to per-capita incomes of net capital flows within the euro area has increased for the members of the euro zone. This increase can neither be observed for the flows between the euro members and the rest of the world nor for the flows between the countries that stayed outside the monetary union and the euro zone. We interpret this as evidence for increasing financial integration in the euro area. There is also some evidence suggesting that the introduction of the euro has led to some financial diversion.     

Do Lower Caseloads Improve the Performance of Public Employment Services? New Evidence from German Employment Offices

The caseworker‐to‐clients ratio is an important, but understudied, policy parameter that affects both the quality and cost of public employment services that help job seekers find employment. We exploit a large‐scale pilot by Germany's employment agency, which hired 490 additional caseworkers in 14 of its 779 offices. We find that lowering caseloads caused a decrease in the rate and duration of local unemployment as well as a higher re‐employment rate. Disentangling the mechanisms that contributed to this improvement, we find that offices with lowered caseloads increased monitoring and imposed more sanctions but also intensified search efforts and registered additional vacancies.     

Am Bett und in der Uni

Duales Studium — Vorlesungen und Seminare an der Hochschule, Praxisausbildung an der Berufsschule und in der Klinik. In einem dualen Studium nehmen die Lernenden immer einen Doppelstatus ein: Sie sind Studierende und Auszubildende zugleich.     

Determination of uniformly most powerful tests in discrete sample spaces

Uniformly most powerful (UMP) tests are known to exist in one-parameter exponential families when the hypothesis H ₀ and the alternative hypothesis H ₁ are given by (i) H ₀ : θ≤θ₀, H ₁ : θ>θ₀, and (ii) H ₀ : θ≤θ₁ or θ≥θ₂, H ₁ : θ₁<θ<θ₂, where θ₁<θ₂.  Likewise, uniformly most powerful unbiased (UMPU) tests do exist when the hypotheses H ₀ and H ₁ take the form (iii) H ₀ : θ₁≤θ≤θ₂, H ₁ : θ<θ₁ or θ>θ₂, where θ₁<θ₂, and (iv) H ₀ : θ=θ₀, H ₁:θ≠θ₀.  To determine tests in case (i), only one critical value c and one randomization constant γ have to be computed. In cases (ii) through (iv) tests are determined by two critical values c ₁, c ₂ and two randomization constants γ₁, γ₂. Unlike determination of tests in case (i), computation of critical values and randomization constants in the remaining cases is rather difficult, unless distributions are symmetric. No straightforward method to determine two-sided UMP tests in discrete sample spaces seems to be known. The purpose of this note is to disclose a distribution independent principle for the determination of UMP tests in cases (ii) through (iv). Received: March 1999     

Wettbewerb im Deutschlandtakt

Wirtschaftsdienst - Die neue Bundesregierung hält an dem verkehrspolitischen Ziel einer Steigerung des Verkehrs auf der Schiene fest. Dazu sieht sie im Koalitionsvertrag neben einer weiteren...     

Ageing societies and challenges for collective bargaining policy

The ongoing demographic changes in the industrialised countries mean not only that the ratio of pensioners to the number of people working has increased and is projected to continue to do so, but also that the average age of the labour force is increasing. These developments confront collective bargaining policy with new challenges as the size and characteristics of the labour supply change, as do the interests of the median trade union member. The following article examines these challenges using the example of Germany.     

A dynamic spatial panel data approach to the German wage curve

A wage curve is a decreasing function of wages on the regional unemployment rate. Most empirical studies on the wage curve ignore possible spatial interaction effects between the regions which are the primary units of research. This paper reconsiders the western German wage curve with a special focus on the geography of labour markets. Spillovers between regions are taken into account. The paper tests whether the unemployment rate in the larger surrounding region also affects wages. In addition, agglomeration effects and effects of local monopsony are assessed.The main database is a random sample of 974,179 employees observed over the period 1980-2004 and covering 326 NUTS3 units (districts). This rich data set is used to estimate a dynamic wage curve according to the two-step approach of Bell et al. (2002). In the first step one controls for individual heterogeneity and in the second step one allows for spatial effects of unemployment across regions on wages. We check the sensitivity of this wage elasticity to various spatial weight matrices as well as allowing for the endogeneity of unemployment. We also estimate the wage elasticity for various population groups.     

Dynamic modelling of water demand, water availability and adaptation strategies for power plants to global change

According to the latest IPCC reports, the frequency of hot and dry periods will increase in many regions of the world in the future. For power plant operators, the increasing possibility of water shortages is an important challenge that they have to face. Shortages of electricity due to water shortages could have an influence on industries as well as on private households. Climate change impact analyses must analyse the climate effects on power plants and possible adaptation strategies for the power generation sector. Power plants have lifetimes of several decades. Their water demand changes with climate parameters in the short- and medium-term. In the long-term, the water demand will change as old units are phased out and new generating units appear in their place.In this paper, we describe the integration of functions for the calculation of the water demand of power plants into a water resources management model. Also included are both short-term reactive and long-term planned adaptation. This integration allows us to simulate the interconnection between the water demand of power plants and water resources management, i.e. water availability. Economic evaluation functions for water shortages are also integrated into the water resources management model. This coupled model enables us to analyse scenarios of socio-economic and climate change, as well as the effects of water management actions.