使比较研究可信

:人们在进行宏观社会现象的研究时,方法上有定性与定量之分。定量分析呈现U字形分布,对极少量的N进行研究有案例分析导向,对极大量的N进行研究不利于认识的深化,因此有必要寻找案例研究与变量导向研究之间的中间路线。组合式研究就有很多独特的优点。     

Spatial Evolution of Social Norms in a Common-Pool Resource Game

We study the conditions for the emergence of cooperation in a spatial common-pool resource (CPR) game. We consider three types of agents: cooperators, defectors and enforcers. The role of enforcers is to punish defectors for overharvesting the resource. Agents are located on a circle and they only observe the actions of their two nearest neighbors. Their payoffs are determined by both local and global interactions and they modify their actions by imitating the strategy in their neighborhood with the highest average payoffs on average. Using theoretical and numerical analysis, we find a large diversity of equilibria to be the outcome of the game. In particular, we find conditions for the occurrence of equilibria in which the three strategies coexist. We also derive the stability of these equilibria. Finally, we show that introducing resource dynamics in the system favors the occurrence of cooperative equilibria.      

Destructive behavior in a Fragile Public Good game

Socially destructive behavior in a public good environment–like damaging public goods–is an underexposed phenomenon in economics. In an experiment we investigate whether such behavior can be influenced by the very nature of an environment. To that purpose we use a Fragile Public Good (FPG) game which puts the opportunity for destructive behavior (taking) on a level playing field with constructive behavior (contributing). We find substantial evidence of destructive decisions, sometimes leading to sour relationships characterized by persistent hurtful behavior. While positive framing induces fewer destructive decisions, shifting the selfish Nash towards minimal taking doubles its share to more than 20%.     

Does Age Exacerbate the Gender-Wage Gap? New Method and Evidence From Germany, 1984–2014

ABSTRACT

Given theoretical premises, the gender-wage gap adjusted for individual characteristics is likely to vary according to age. This study adapts John DiNardo, Nicole M. Fortin, and Thomas Lemieux's (1996) semi-parametric technique to disentangle year, cohort, and age effects in adjusted gender-wage gaps. The study relies on a long panel of data from the German Socio-Economic Panel (SOEP) covering 1984–2015. The results indicate that, in Germany, the gender-wage gap increases over a birth cohort's lifetime, including in the post-reproductive age for some birth cohorts. The results suggest that age and gender are overlapping handicaps in the labor market and call for a policy intervention.     

Focus Groups: Contributing to a Gender-Aware Methodology

A focus group is an open group interview from which research hypotheses can be derived. It enables economic research to step down from its narrow theoretical assumptions and to embed research questions in a life context. It also can contribute to strong objectivity and when done in women's groups and/or on gender issues, focus groups can contribute to a feminist methodology. Experience from a focus group by the author held in Africa has indicated how diverse and enriching economic notions can become, when discussed in a group, before the research has started.     

Law,values and economic thought: Notes for a research agenda

This essay suggests that law, economic thought and moral/religious values may be related in ways that condition how each functions. It sketches the potential value of investigating this triad by looking at two patterns of interaction and locating each in a specific narrative context taken from the development of competition law in Europe. In one, law functions as a transforming bridge between religious/moral values and economic thought, while in the other the three domains of thought and discourse combine to create structural synergies that dialectically influence each in return.     

Introducing errors in progress ratios determined from experience curves

Progress ratios (PRs) derived from historical data in experience curves are used for forecasting development of many technologies as a means to model endogenous technical change in for instance climate–economy models. These forecasts are highly sensitive to uncertainties in the progress ratio. As a progress ratio is determined from fitting data, a coefficient of determination R² is frequently used to show the quality of the fit and accuracy of PR. Although this is instructive, we recommend using the error σ_PR in PR, which can be directly determined from fitting the data. In this paper we illustrate this approach for three renewable energy technologies, i.e., wind energy, bio-ethanol, and photovoltaics.