A Perpetual Race to Stay Ahead

This paper presents a model of dynamic competition between two firms that repeatedly engage in an innovative activity. The state of competition—measured by the difference between the number of innovations introduced by the firms—evolves stochastically according to their effort level. The structure of Markov perfect equilibria is identified. It is generally not true that competition is fiercest when firms are closest. Rather, firms invest under two distinct circumstances: while sufficiently ahead, to outstrip their rival and secure a durable leadership; while behind, to regain leadership and prevent the situation from worsening to the point where their rival outstrips them.     

Equivalence Scales in an Intertemporal Setting with an Application to the Former West Germany

Equivalence scales provide answers to questions like how much a household with two children needs to spend compared to a couple to attain the same welfare level. These are important questions for child allowances, social benefits and to assess the cost of children over the life-cycle for example. We discuss equivalence scales in an intertemporal setting with uncertainty. To estimate equivalence scales we use a panel from German households (GSOEP) containing subjective data on satisfaction with life and satisfaction with income to represent the welfare level. Because satisfaction is measured on a discrete scale we use limited dependent variable models for panel data in estimation. Using satisfaction with life data we find that larger households do not need any additional income to be as satisfied as a couple. Using satisfaction with income, however, yields equivalence scales that increase with household size.     

Expectation formation and regime switches

Economic agents often have to make decisions in environments affected by regime switches but expectation formation has hardly been explored in this context. We report about a laboratory experiment whose participants judgmentally forecast three time series subject to regime switches. The participants make forecasts without context knowledge and without support from statistical software. Their forecasts are only based on the previous realizations of the time series. Our interest is the explanation of the average forecasts with a simple model, the bounds & likelihood heuristic. In previous studies it was shown that this model can explain average forecasting behavior very well given stable and stationary time series. We find that the forecasts after a structural break are characterized by a higher variance and less accuracy over several periods. Considering this transition phase in the model, the heuristic performs even slightly better than the Rational Expectations Hypothesis.     

The co-occurrence of self-observed norm-conforming behavior,reduction of zero observations and remaining measurement quality

Norm-violating behavior is characterized by clear social norms which prescribe the non-occurrence of that behavior. From the theoretical framework of Allport it is derived that specifically norm-conformation is consistent, while violating norms is expected to be inconsistent and more circumstantial. This is in contrast to test-theoretic approaches of delinquent behavior that assume that various norm-violating responses form a consistent answer pattern that is scalable and reliable. In this study we study the inter-correlations, scalability and reliability of norm-violating responses and their relation with the reduction of zero observations. In concordance with Allport’s view it is expected that different norm-violating self-report items have limited interrelatedness and are limited in scalability and reliability in the norm-violating sub-population. The NLSY98 self-report data show that a large majority of respondents (69 %) conform systematically to all ten different norms, while only nine percent admits more than two different violations. The results show that in subsamples of norm-violating respondents, the correlations between items become closer to zero, dependent on the amount of zero reduction. Furthermore, both Loevinger’s H coefficient of scalability and scale reliability become unsatisfactorily low, when 35 % or more strict norm-conforming subjects are removed.     

Accuracy, unbiasedness and efficiency of professional macroeconomic forecasts: An empirical comparison for the G7

In this paper, we use survey data to analyze the accuracy, unbiasedness and efficiency of professional macroeconomic forecasts. We analyze a large panel of individual forecasts that has not previously been analyzed in the literature. We provide evidence on the properties of forecasts for all G7-countries and for four different macroeconomic variables. Our results show a high degree of dispersion of forecast accuracy across forecasters. We also find that there are large differences in the performances of forecasters, not only across countries but also across different macroeconomic variables. In general, the forecasts tend to be biased in situations where the forecasters have to learn about large structural shocks or gradual changes in the trend of a variable. Furthermore, while a sizable fraction of forecasters seem to smooth their GDP forecasts significantly, this does not apply to forecasts made for other macroeconomic variables.     

Information Sharing in Contests

We study the incentives to share private information ahead of contests, such as markets with promotional competition, procurement contests, or research and development (R&D). We consider the cases where firms have (i) independent values and (ii) common values of winning the contest. In both cases, when decisions to share information are made independently, sharing information is strictly dominated. With independent values, an industry‐wide agreement to share information can arise in equilibrium. Expected effort is lower with than without information sharing. With common values, an industry‐wide agreement to share information never arises in equilibrium. Expected effort is higher with than without information sharing.     

Seize the Moment: Financial Crisis and the Making of the Finnish Competition State

In this paper we examine how Finnish Governments dismantled the Nordic welfare state paradigm from the 1990s onwards and adopted Schumpeterian ideas of a competitive workfare state. In the early 1990s, Finland went through a financial crisis that was the most severe in OECD countries since the Second World War and came to play a major role in the paradigm change. In the crisis, the Ministry of Finance gained a central role as a consensus-building power broker, and formulated a political strategy of national competitiveness, which was adopted as a rationale of power for consensual governments and has been maintained since. We suggest that financial crises can become formative moments in which new ideas are adopted and policies are reformulated. They can also become moments which provide opportunity to overcome citizen opinion. In Finland, the wide popular and party support for the Nordic welfare model was not reflected in the new paradigm.     

Economic Aspects of Loneliness in Australia

We highlight the problem of loneliness, and argue that it is not only a public health issue but also an economic problem. We provide a brief review of findings from the key literature on the associations between loneliness, mental and physical health, and healthcare costs; and then present some evidence on its trends, the extent of socioeconomic inequalities and its links with health and healthcare usage, in Australia. We hope to encourage further economics research on loneliness, and related issues of social isolation and poor social support, to aid the design of policies and interventions to reduce loneliness.