The effects of heterogeneous interaction and risk attitude adaptation on the evolution of cooperation

This paper addresses the evolution of cooperation in a multi-agent system with agents interacting heterogeneously with each other based on the iterated prisoner’s dilemma (IPD) game. The heterogeneity of interaction is defined in two models. First, agents in a network are restricted to interacting with only their neighbors (local interaction). Second, agents are allowed to adopt different IPD strategies against different opponents (discriminative interaction). These two heterogeneous interaction scenarios are different to the classical evolutionary game, in which each agent interacts with every other agent in the population by adopting the same strategy against all opponents. Moreover, agents adapt their risk attitudes while engaging in interactions. Agents with payoffs above (or below) their aspirations will become more risk averse (or risk seeking) in subsequent interactions, wherein risk is defined as the standard deviation of one-move payoffs in the IPD game. In simulation experiments with agents using only own historical payoffs as aspirations (historical comparison), we find that the whole population can achieve a high level of cooperation via the risk attitude adaptation mechanism, in the cases of either local or discriminative interaction models. Meanwhile, when agents use the population’s average payoff as aspirations (social comparison) for adapting risk attitudes, the high level of cooperation can only be sustained in a portion of the population (i.e., partial cooperation). This finding also holds true in both of the heterogeneous scenarios. Considering that payoffs cannot be precisely estimated in a realistic IPD game, simulation experiments are also conducted with a Gaussian disturbance added to the game payoffs. The results reveal that partial cooperation in the population under social comparison is more robust to the variation in payoffs than the global cooperation under historical comparison.     

Global financial crisis as a phenomenon of stock market overshooting

Inspired by Dornbusch’s model of exchange rate overshooting we develop a theory of stock market behaviour and its impact on the real economy. The idea is that stock market prices overshoot and undershoot their long-run equilibrium values which are determined by the development in the real economy. The overshooting is triggered primarily by a loose monetary policy. With our model we explain the genesis of the global financial crisis (GFC) 2008/2009 primarily as the result of a loose monetary policy in the USA. Following the overshooting and crash in the stock market the real economy dropped into a recession. After modelling the interaction of three markets with different speed of adjustment—money, stocks and goods—for a closed economy we expand it to an open economy and lastly study the spillovers of a financial market crisis between countries (from a large to a small country) by introducing the transmission channels of external trade or cross-border financial transactions. A long-lasting monetary easing as exhibiting by the Fed and the ECB since 2007 and 2008, respectively could—according to our model—generate another boom-bust cycle.     

Turning the page? EU fiscal consolidation in the wake of the crisis

The fiscal cost of the financial and economic crisis in Europe is huge. The paper provides provisional estimates of this cost and looks at its implications for the sustainability of public finances, taking into account also the impact of aging populations. The historical experience suggests that economic growth is persistently lowered in the aftermath of financial crisis, making fiscal consolidation more difficult yet all the more essential. Meanwhile the timing of the exit from fiscal stimulus and subsequent fiscal consolidation must reconcile sustainability and stabilisation goals—a delicate balancing act. The paper will argue in favour of structural reform to boost the economic growth potential alongside fiscal consolidation. The fiscal coordination framework in the EU, together with the Europe 2020 strategy, is seen to underpin this approach.     

What is unemployment in Europe? Concepts and measurement in the European community household panel

The purpose in this article is to evaluate the consistency between two measures of unemployment in a cross-country context. We use the European Community Household Panel to identify unemployment at an individual level based as well on the ILO criteria for being classified as unemployed as on the individual respondent reporting to be unemployed. This opens a unique opportunity to compare unemployment measured in two different ways based on a cross European Union panel study covering the years 1994 to 2001. The two main questions addressed in this article are to which extent the two unemployment measures differ and whether transition rates out of unemployment depend on which concept we use. Both questions are answered in the affirmative. The overall conclusion is that it is important, especially in some of the EU countries, to include both measures of unemployment as guidelines and indicators for policy.     

The trend in female labour force participation: what can be expected for the future?

This study investigates the increase in the labour force participation rate of women. We estimate a binary age–period–cohort model for a sample of Dutch women born between 1925 and 1986. The results indicate that the increasing level of education and the diminishing negative effect of children have played an important role. Moreover, we find important unobserved cohort effects for pre-1955 generations, which is in line with results of studies on social norms. It is shown that the growth in female participation is likely to slow down in the near future, as such cohort effects are not relevant for younger generations.     

Bilateral and regional trade elasticities of the EU

The traditional way of assessing the impact of currency depreciation and income on the trade balance has been to estimate the elasticity of trade volume to relative prices and income. The previous studies examine the problems associated with using aggregate data. The recent studies rely on bilateral data, yet another problem is that data for export and import prices are not available. Thus, this study proposes an alternative way of assessing the impact of currency depreciation by using the real exchange rate and the impact of income on bilateral trade. The models are applied between the EU and its major trading partners. Furthermore, the analysis includes the six major trading regions along side the eight major trading countries for 1980–2007, on the quarterly basis. This article uses the autoregressive distributive lag (ARDL) approach advocated by Pesaran and Pesaran (1997). Our results indicate a higher importance of income compared to the real exchange rate in defined bilateral export and import demand functions. In addition, the applied CUSUM and CUSUMSQ stability tests confirm the stability of estimated coefficients in most cases.     

Estimating the natural rates in a simple New Keynesian framework

The time-varying natural rate of interest and output and the implied medium-term inflation target for the US economy are estimated over the period 1983–2005. The estimation is conducted within the New Keynesian framework using Bayesian and Kalman-filter estimation techniques. With the model-consistent estimate of the output gap, we get a small weight on the backward-looking component of the New Keynesian Phillips curve—similar to what is obtained in studies which use labor share of income as a driver for inflation (e.g., Galí, Eur Econ Rev 45(7):1237–1270, 2001; Eur Econ Rev 47(4):759–760, 2003). The turning points of the business cycle are nevertheless broadly consistent with those of CBO/NBER. We find considerable variation in the natural rate of interest while the inflation target has been close to 2% over the last decade.     

Testing for structural breaks in panel varying coefficient models: with an application to OECD health expenditure

In this article, we propose a model selection approach for testing structural breaks in a semiparametric panel varying coefficient model. Monte Carlo evidence shows that the proposed model selection approach performs well in finite sample settings. Applying the method to an empirical data, we find evidence of structural breaks in Organisation for Economic Co-operation and Development (OECD) health expenditure data by allowing for income elasticity to be state (income)-dependent. The relationship between health expenditure and income is subject to two types of structural changes: smooth changes over income and structural breaks in the time dimension. The findings hold for both foreign exchange rate-converted and Purchasing Power Parity-converted expenditure and GDP.     

Hidden patterns in exchange rate regime choice

There have been a number of empirical attempts to account for variation in exchange rate regime choice, but these attempts point in several directions and are not made sense of easily. One reason for the differences among studies is that standard statistical techniques are unable to identify the nonlinear and contingent relationships among the factors that influence the choice of exchange rate regime. This article utilizes a statistical technique that reveals complex nonlinear interactions among variables. The analysis reveals that the influence of past inflation acts to condition the influence of labor market rigidity and that political stability plays a key role for both high and low inflation countries.     

Bequests,gifts, and education: links between intergenerational transfers

We study the channels parents use to make transfers to their children. First, we focus on the relationship between investments in education and property transfers. Second, we turn to how property transfers are divided between inter vivos gifts and bequests. We use a Swedish dataset that is superior to previously used data as it contains information on both gifts and inheritances received from parents. We estimate models for the probabilities of having university education, receiving gifts, and receiving inheritances. In addition, we estimate models for gift and inheritance amounts. We find that the more resources parents have, the higher the likelihood of transfers, and that the correlation between receiving inter vivos gifts and inheritances is very high. Finally, women are more likely to have university education and to receive gifts, and daughters receive gifts of larger amounts than sons, although there are no differences in terms of inheritance.