Short- and long-term participation tax rates and their impact on labor supply

Generous income support programs as provided by European welfare states have often been blamed to hamper employment. This paper investigates the importance of incentives inherent in the tax-benefit system for the individual decision to take up work. Using German microdata over the period 1993–2010, we find that recent reforms in Germany increased work incentives at the extensive margin measured by the participation tax rate (PTR), particularly for low-income individuals. Work incentives are even higher if the time horizon is extended to more than one year, pointing at an overestimation of the disincentives by standard measures. Regression analysis reveals that a decrease in the PTR increases the probability of taking up work significantly.     

Mehr Marketingeffizienz mit Kundendaten — Das Beispiel Migros

Zusammenfassung  Der effektive Einsatz von Promotionen zur Verbesserung des Gesch?ftsergebnisses ist eines der zentralen Themen des Einzelhandels. Mit dem Analysetool PROMET entwickelte die Migros ein Instrument zur Bewertung diverser Ma?nahmen. Dabei kommen Transaktionsdaten aus dem Kundenbindungsprogramm M-CUMULUS zum Einsatz. PROMET erlaubt die differenzierte Analyse von Category-Wirkung, Kundenstruktur, Nachhaltigkeit der Angebote und sortimentsbezogener Informationen und klassifiziert die Ma?nahmen nach fünf Wirkungshebeln. Dadurch unterstützt PROMET das Category Management sowohl in der Bewertungs-als auch in der Planungsphase von Promotionen.     

Adoption and Impacts of Sustainable Agricultural Practices on Maize Yields and Incomes: Evidence from Rural Zambia

This paper uses a multinomial endogenous treatment effects model and data from a sample of over 800 households and 3,000 plots to assess the determinants and impacts of adoption of sustainable agricultural practices (SAPs) on maize yields and household incomes in rural Zambia. Results show that adoption decisions are driven by household and plot level characteristics and that the adoption of a combination of SAPs raises both maize yields and incomes of smallholder farmers. Adoption of improved maize alone has greater impacts on maize yields, but given the high cost of inorganic fertiliser that limits the profitability of adoption of improved maize, greater household incomes are associated rather with a package involving SAPs such as maize–legume rotation and residue retention.     

Alt werden, gesund bleiben

Senioren im Krankenhaus - Die Menschen in Deutschland werden immer ?lter und die Bandbreite zwischen biologischem und kalenderischem Alter nimmt zu. Fit oder hilfebedürftig – Pflegekr?fte erleben eine sehr heterogene Patientengruppe, auf deren Bedürfnisse es sich einzustellen gilt – die neue Serie in Heilberufe.     

Calibration of agricultural risk programming models using positive mathematical programming

Mathematical programming models of farmers’ cropping decisions must first be calibrated before they can be used to examine agricultural producer responses to policy changes. In this paper, we compare three calibration approaches for disentangling the risk parameter from the parameters of the cost function: one assumes a logarithmic utility function, while the others employ an exponential utility function. Historical crop insurance data for southern Alberta, Canada, are used to assess the calibration performance of the three approaches, and sensitivity analysis is implemented to test whether the changes in the optimal land allocation caused by the changes in the values of the parameters are practically reasonable. Only one of the three models is of practical use for policy analysis because it can recover the true values of the parameters and the results of sensitivity analysis are reasonable.     

Market interdependence and volatility transmission among major crops

This article provides a comprehensive analysis of the dynamics of volatility across major agricultural commodities in the United States. Volatility interactions across markets may lower the effectiveness of diversification strategies to mitigate price risks and should be taken into account when analyzing the pricing behavior of different agricultural commodities. We follow a multivariate GARCH approach to evaluate the time evolution of conditional correlations and volatility transmission across corn, wheat, and soybeans price returns on a daily, weekly, and monthly basis. The period of analysis is from 1998 to 2012. The estimation results indicate a lack of lead‐lag relationships between corn, wheat, and soybeans price returns at the mean level. We find, however, important volatility spillovers across commodities, particularly at the weekly and monthly level. Wheat and corn seem to play a major role in terms of volatility transmission. Despite the supposed higher financial market integration of agricultural commodities, we do not observe that agricultural markets have become more interdependent in recent years.     

FELLOWS ADDRESS California Dreaming: The Economics of Renewable Energy

California was the first jurisdiction to mandate a reduction in greenhouse gas (GHG) emissions by 80% below 1990 levels by 2050. This target was subsequently endorsed by the G8 in 2009 and the European Commission in 2014, and is the guiding principle of the 2015 Paris Agreement. To achieve these targets will require near elimination of fossil fuels and/or a technological breakthrough that might be considered a black swan event. Eschewing nuclear power, countries are relying on renewable energy sources to meet future energy needs. In this paper, I examine the prospects of reducing GHG emissions by 80% by first summarizing extant global energy sources and production, trends, and projections of energy demand, and the potential mix of future energy sources. I consider the role of conservation and then focus on the electricity sector to determine how wind and biomass could contribute to the 80% target. I conclude that these ambitious targets cannot be attained without nuclear power.     

Achieving Attraction Accountability Through an Attraction Response Matrix

Whereas investments in new attractions continue to rise within the theme park industry, knowledge regarding the effects of new attractions on theme park performance and attendance remains scarce. In order to predict the impact of new attractions on the performance of European theme parks, this article presents an Attraction Response Matrix (ARM). The Attraction Response Matrix offers an integrated framework in which research into the effects of new attractions can take place in a systematic manner. The ARM attempts to transform post priori knowledge into a priori knowledge by better understanding the impact of a new attraction and its' mediating causes. The main premise of the ARM is: “in situation A, attraction B will most likely have effect C on target audience D.” By performing research into the relevant effects within certain cells of the ARM and consecutively investigating the relationship between the various cells, a better insight will be gained in the working of new attractions. ARM is based on an extensive ZMET study conducted in The Netherlands.