The EC internal market,Lomé IV and the ACP countries

The implications that the internal market could hold for the EC's foreign trade relations are a cause of considerable worry to countries in the Third World. Particularly the ACP countries, for many of whom the EC is their foremost product and import market, fear the possible strengthening of protectionist barriers and a Europe increasingly preoccupied with itself. This article examines the perspectives of EC-ACP trade relations in the light of the Lomé IV agreement.     

Intra-Industry Trade and Labour-Market Adjustment: A Reassessment Using Data on Individual Workers

We re-examine the relationship between intra-industry trade and labour reallocation, using individual-level data on manufacturing worker moves in the United Kingdom. The contribution of this analysis is twofold. First, we estimate the impact of intra-industry trade on worker moves between occupations as well as between industries. Second, we run individual-level regressions that allow us to control for worker heterogeneity. Our results suggest that intra-industry trade does have the stipulated attenuating effect on worker moves, both between occupations and between industries, but that this effect is relatively small compared to other determinants of labour reallocation. JEL no. F1, J62, C25     

Too dynamic to fail: empirical support for an autocatalytic model of Minsky’s financial instability hypothesis

Solomon and Golo (Account Econ Law 3(3):167–260, 2013) have recently proposed an autocatalytic (self-reinforcing) feedback model which couples a macroscopic system parameter (the interest rate), a microscopic parameter that measures the distribution of the states of the individual agents (the number of firms in financial difficulty) and a peer-to-peer network effect (contagion across supply chain financing). In this model, each financial agent is characterized by its resilience to the interest rate. Above a certain rate the interest due on the firm’s financial costs exceeds its earnings and the firm becomes susceptible to failure (ponzi). For the interest rate levels under a certain threshold level, the firm loans are smaller then its earnings and the firm becomes ‘hedge.’ In this paper, we fit the historical data (2002–2009) on interest rate data into our model, in order to predict the number of the ponzi firms. We compare the prediction with the data taken from a large panel of Italian firms over a period of 9 years. We then use trade credit linkages to discuss the connection between the ponzi density and the network percolation. We find that the ‘top-down’–‘bottom-up’ positive feedback loop accounts for most of the Minsky crisis accelerator dynamics. The peer-to-peer ponzi companies contagion becomes significant only in the last stage of the crisis when the ponzi density is above a critical value. Moreover the ponzi contagion is limited only to the companies that were not dynamic enough to substitute their distressed clients with new ones. In this respect the data support a view in which the success of the economy depends on substituting the static ‘supply-network’ picture with an interacting dynamic agents one.     

Prediction accuracy and sloppiness of log-periodic functions

We show that log-periodic power-law (LPPL) functions are intrinsically very hard to fit to time series. This comes from their sloppiness, the squared residuals depending very much on some combinations of parameters and very little on other ones. The time of singularity that is supposed to give an estimate of the day of the crash belongs to the latter category. We discuss in detail why and how the fitting procedure must take into account the sloppy nature of this kind of model. We then test the reliability of LPPLs on synthetic AR(1) data replicating the Hang Seng 1987 crash and show that even this case is borderline regarding the predictability of the divergence time. We finally argue that current methods used to estimate a probabilistic time window for the divergence time are likely to be over-optimistic.     

Creating low skilled jobs by subsidizing market-contracted household work

The paper analyses the determinants of household work contracted in the German shadow economy. The German socio-economic household panel, which enumerates casual domestic employment, is used to estimate the demand for such household work. The regressors include regional wage rates, household income and several control variables for household composition. It is found that the demand for household work in the shadow economy is very income elastic. This suggests that targeted wage subsidies, linked to household work agencies, would be very effective in raising the legal demand for domestic help. A wage subsidy of 50% of wage costs could thus establish up to 500?000 new jobs for previously unemployed or non-working low skilled workers. The net fiscal costs of such a scheme are about 6.200 Euro per full-time job. In addition, society benefits from more law enforcement and from a raised female labour supply, especially by highly qualified mothers.     

全面评价媒体的广告效果——媒体广告效果=收视×影响力指数

本研究借鉴国内外传媒研究者关于媒体质化研究的既有成果,集聚四家研究和调查机构及多名专家的智慧和经验,首次提出电视媒体影响力指数的概念和指标体系,并选取中央电视台、省级电视台、城市电视台三个层次共323个频道和60个全国收视率最高的代表性栏目,在全国35个中心城市对10500个样本进行了大规模的入户调查。分析结果表明,中央电视台是最具影响力的电视媒体,省级卫视影响力出现明显分化;电视栏目影响力上,中央电视台在新闻财经类栏目上优势明显,省级卫视在综艺影视剧类节目表现上与央视的差距正在缩小。本文还就收视率与影响力之间的相关性做了分析,并对这些研究结果的实际运用提出了策略性建议。     

Globalisation,trade, and growth: A macroeconomic perspective

On the basis of economic theory, what effects can globalisation be expected to have on trade and growth? Does the empirical evidence support this? What developments will the next phase of globalisation bring?     

Price formation in the German biodiesel supply chain: a Markov‐switching vector error‐correction modeling approach

Changing linkages between agricultural and energy markets have attracted considerable attention in research and policy discussions during recent years. As one of the largest biofuel markets worldwide, the German biodiesel market is of particular interest. It has grown rapidly since the beginning of the new millennium, with this growth being driven mainly by political interventions. Vertical price transmission channels along the biodiesel supply chain are analyzed in this study. We examine the relationship between diesel and biodiesel prices, and between rapeseed oil, soy oil, and biodiesel prices between 2002 and 2008. Due to pronounced changes in market conditions and the policy framework, a regime‐dependent Markov‐switching vector error‐correction model is used. The regimes are characterized by markedly different price adjustment behaviors. Before 2005 and from late 2007 onward, a regime characterized by the strong orientation of biodiesel prices toward diesel prices dominates. Between 2005 and 2007, biodiesel and rapeseed oil prices are mutually interdependent. Frequent switches between the regimes of the price dynamics during this period indicate a high extent of uncertainty and instability in the market.