Pension Reform, Capital Markets and the Rate of Return

Abstract. This paper discusses the consequences of population aging and a fundamental pension reform – that is, a shift towards more pre‐funding – for capital markets in Germany. We use a stylized closed‐economy, overlapping‐generations model to compare the effects of the recent German pension reform with those of a more decisive reform that would freeze the current pay‐as‐you‐go contribution rate and thus result in a larger funded component of the pension system. We predict rates of return to capital under both reform scenarios over a long horizon, taking demographic projections as given. Our main finding is that the future decrease in the rate of return is much smaller than often claimed in the public debate. Our simulations show that the capital stock will decrease once the baby‐boom generations enter retirement, even if there were no fundamental pension reform. The corresponding decrease in the rate of return, the direct effect of population aging, is around 0.7 percentage points. While the capital market effects of the recent German pension reform are marginal, the rate of return to capital would decrease by an additional 0.5 percentage points under the more decisive reform proposal.     

Societal aspects of technology assessment

Despite earnest admonitions in most technology assessments that institutional arrangements, social impacts, and societal implications be taken into account, the methodology commonly used not only systematically and systematically excludes these very dimensions but often creates a distorted focus. The paradigm dominating structural modeling in technology assessment is technically-oriented; the techniques, lineal descendants of systems analysis, are no more reliable for “assessing” the uncertain future than have been their ancestors in “managing” the present.     

Aid Delivery through Non‐governmental Organisations: Does the Aid Channel Matter for the Targeting of Swedish Aid?

This paper analyses whether aid channelled through non‐governmental organisations (NGOs) is less affected by selfish donor motivations and better targeted to needy recipient countries than aid distributed by state agencies. We employ Tobit (and Probit) models and make use of an exceptionally detailed database that allows an assessment of the allocation of Swedish aid channelled through NGOs in comparison to the allocation of Swedish official aid. Our analysis provides mixed results. On the one hand, NGOs appear to be altruistic as far as available indicators on political and commercial motivations of aid can tell. On the other hand, needs‐based targeting of aid by NGOs turns out to be surprisingly weak. GDP per capita of recipient countries shapes the allocation of official aid, but not that of aid channelled through NGOs. The headcount of absolute poverty has a significantly positive effect on aid allocation, but its impact is not particularly strong when NGOs are involved. Overall, the Swedish case supports the sceptical view that NGOs are not necessarily superior donors compared to state aid agencies.     

From fork to farm: Impacts of more sustainable diets in the EU-27 on the agricultural sector

The implications of dietary changes for the environment and for human health are well documented, but the impacts on the agricultural sector are less well researched. We fill this gap by specifying scenarios in which European consumers' diets approximate the EAT-Lancet dietary recommendations to varying degrees and estimate the effects on agricultural production, incomes and emissions using an agro-economic modelling framework. The combination of different models allows for a detailed assessment of consequences for the agricultural sector from the global through European NUTS2 level to the farm level at different time scales. Shifting European consumption towards the EAT-Lancet recommendations leads to decreasing production of animal-based products, while production of fruits and vegetables increases sharply. The results indicate that the agricultural sector could benefit from a dietary shift, though the results are mixed at country, regional and farm levels. In particular, countries and regions that are highly specialised in animal farming are likely to lose income—at least in the short run—while regions with higher shares of vegetable and fruit farms can expect income gains. In Germany, pig and poultry farms may experience losses of up to 34% of their income, whereas farms with a high share of vegetables could gain more than 30% in income. Our results have implications for the policies to assist these extensive structural adjustments in response to widespread dietary changes.     

The triggers and clustering properties of merger waves

This article studies the triggers and the agglomeration of mergers and acquisitions (M&A) activity within clusters constituted by time, market and industry. Based on almost 500,000 individual transactions, we find that industry factors play a significant role in triggering activity and that M&A agglomerates strongly across related industries. While clustering in time turns out to be insignificant, stock market effects can be either an attracting or a repelling force, depending on the type of deal examined. This supports the view that merger waves are largely driven by industry shocks.     

Correcting for the Missing Rich: An Application to Wealth Survey Data

It is a well‐known criticism that if the distribution of wealth is highly concentrated, survey data are hardly reliable when it comes to analyzing the richest parts of society. This paper addresses this criticism by providing a general rationale of the underlying methodological problem as well as by proposing a specific methodological approach tailored to correcting the arising bias. We illustrate the latter approach by using Austrian data from the Household Finance and Consumption Survey. Specifically, we identify suitable parameter combinations by using a series of maximum‐likelihood estimates and appropriate goodness‐of‐fit tests to avoid arbitrariness with respect to the fitting of the Pareto distribution. Our results suggest that the alleged non‐observation bias is considerable, accounting for about one quarter of total net wealth in the case of Austria. The method developed in this paper can easily be applied to other countries where survey data on wealth are available.     

Political Leaders' Socioeconomic Background and Public Budget Deficits: Evidence from OECD Countries

This paper empirically analyzes the relationship between political leaders' socioeconomic backgrounds and public budget deficits utilizing panel data on 21 OECD countries from 1980 to 2008. Building on sociological, as well as economic research, we argue that the socioeconomic status of political decision‐makers, i.e., presidents or prime ministers, is an important determinant of fiscal budget decisions. Our theory‐consistent findings show that the tenures of lower‐class leaders – i.e., leaders of low socioeconomic status – are associated with a deficit‐to‐GDP ratio which is 1.6 percentage points higher than that during tenures of upper‐class leaders.     

NAIRU Estimates for Germany: New Evidence on the Inflation–Unemployment Tradeoff

Meaningful estimates of the non‐accelerating inflation rate of unemployment (NAIRU) within a Phillips curve framework require an identified tradeoff between inflation and unemployment. However, observations of inflation and unemployment are equilibrium points giving rise to a simultaneity problem. We assess conventional identifying assumptions in the literature on the German NAIRU in a general bi‐variate equations system of inflation and unemplyoment. We use a data‐driven method for identification based on shifts in the relative volatility of shocks to unemployment and inflation to identify the tradeoff for Germany. Our results support models which estimate a contemporaneous effect of unemployment on inflation and those which model inflation and unemployment jointly.     

Assessing the Value of Collaborations in Tourism Networks: A Case Study of Elkhart County,Indiana

This study explores the determinants of perceived value derived from interorganizational collaborations in a tourism destination. The authors propose a theoretical model of perceived value drawing upon the rich stream of literature related to strategic collaborations and interorganizational networks. The model was tested using a cross section of tourism organizations operating within Elkhart County, Indiana. The results indicate that a significant positive value of collaboration is achieved from dyadic relationships. Importantly, the results suggest that the positive effect achieved from one-to-one partnerships decreases once an organization collaborates with several other organizations. The article discusses various implications for managing strategic tourism partnerships.     

Who will lead and who will follow: Identifying Influential Users in Online Social Networks

Along with the explosive growth of the phenomenon Online Social Networks (OSN), identifying influential users in OSN has received a great deal of attention in recent years. However, the development of practical approaches for identifying them is still in its infancy. By means of a structured literature review, the authors analyze and synthesize the publications particularly from two perspectives. From a research perspective, they find that existing approaches mostly build on users’ connectivity and activity but hardly consider further characteristics of influential users. Moreover, they outline two major research streams. It becomes apparent that most marketing-oriented articles draw on real-world data of OSN, while more technology-oriented papers rather have a theoretical approach and mostly evaluate their artifacts by means of formal proofs. The authors find that a stronger collaboration between the scientific Business and Information Systems Engineering (BISE) and Marketing communities could be mutually beneficial. With respect to a practitioner’s perspective, they compile advice on the practical application of approaches for the identification of influential users. It is hoped that the results can stimulate and guide future research.