Long waves in prices: new evidence from wavelet analysis

In this paper we apply wavelet analysis to study the dynamics of long-term movements in wholesale prices for the USA, the UK and France over the period 1791–2012. The application of wavelet analysis to long-term historical price series allows us to detect long waves in prices whose periodization is remarkably similar to those provided in the literature for the pre-World War II period. Moreover, we find evidence on the existence of long waves in prices also after World War II, a period in which long waves are generally difficult to detect because of the positive trend displayed by prices. The comparison between the long wave components extracted through wavelets and the Christiano–Fitzgerald band-pass filter suggests that wavelets provide a reliable and straightforward technique for analyzing long waves dynamics in time series exhibiting quite complex patterns such as historical data.     

The dynamic of innovation networks: a switching model on technological change

In this paper, we introduce an agent-based model where heterogeneous firms compare and modify their innovation strategies, so generating an evolving network structure. By implementing dynamic behavioral switching via a fitness mechanism based on agents’ performance, companies can endogenously modify their tactics for technological change and switch among three groups: stand-alone innovators, collaborative innovators and imitators. On the one hand, we study the properties of the emerging networks and we show that they reproduce the stylized facts of innovation networks. Moreover, we focus the analysis on the impact of these three innovation categories on the macro economic aggregate, finding that collaborative companies are those having the highest positive impact on the economic system. On the other hand, we use the model to study the effect of different economic innovation policies in increasing macroeconomic performance.     

Bank–firms topology in Italy

An empirical analysis of the Italian system of banks and firms is carried out using the network theory. The emerging architecture of this economic network shows peculiar behaviors: (i) Multiple lending is very widespread; (ii) Small firms are preferentially financed by small banks; (iii) Large firms are financed by many banks; (iv) the ratio between loans and deposits is much higher for large banks than for small banks, while (v) strong size heterogeneity appears among co-financing banks, and (vi) the spanning-tree is very hierarchical.     

Complex agent-based macroeconomics: a manifesto for a new paradigm

This article discusses some issues and challenges facing modern macroeconomics. We argue for the necessity to replace the reductionist approach at the heart of mainstream DSGE models with an approach rooted on the science of complexity and agent-based modelling. To strengthen and exemplify our position, we show a simple example and introduce several items for a research agenda along these lines.     

Increasing inequality,consumer credit and financial fragility in an agent based macroeconomic model

We investigate the interplay between increasing inequality and consumer credit in a complex macroeconomic system with financially fragile heterogeneous households, firms and banks. Simulation results show that there are pros and cons of introducing consumer credit: on the one hand, for a certain time, it leads to lower unemployment through boosting aggregate demand; on the other hand, it accelerates the system tendency to the crisis. Since the increase of financial profits goes with a decline of households’ real wealth, a policy trade-off emerges.     

Correction to: Mis-measurement of inequality: a critical reflection and new insights

Journal of Economic Interaction and Coordination - In the original publication of the article, caption of Figure 3 on the third page of Sect. 4.1 was incorrectly published as.     

The US Wage Phillips Curve across Frequencies and over Time*

Although widely used in many areas of applied sciences, wavelet analysis has not fully entered the economic discipline yet. In this article we apply wavelet analysis to one of the most investigated relationships is in empirical macroeconomics: the relationship between wage inflation and unemployment. Using US postwar data we find a frequency‐dependent relationship of a sort that is consistent with Phillips’ original insights. It also turns out that this relationship is remarkably stable over the 1948–93 period, but not in the aftermath, as a consequence of a process of adaption of the wage formation process to a low inflation environment.     

对融资约束与资产负债表渠道的再解释

总需求模型扩展了IS／LM模型的固定价格框架，对信贷渠道——即信贷观点认为通过“资产负债表渠道”和“银行贷款渠道”起作用的传统货币传导机制——产生了机制强化作用。本文在假定投资既可以通过内部、也可以通过外部融资的条件下，对IS／LM扩展模型作了修改。在IS／LM固定价格扩展模型中引入内部资金表明：对作为一种强化机制，通过借款数量——而非借款成本——产生货币政策放大效应的“资产负债表渠道”，做出了不同解释。因而，借款人的周期净财富变化与资产负债表渠道的传统解释不同，它是直接地、而非间接地放大和传播了产出波动。对意大利过去十年货币传导机制的经验分析是符合本文对资产负债表渠道的论述的。     

Robotization and labour dislocation in the manufacturing sectors of OECD countries: a panel VAR approach

Robots are the most important innovation which has affected the production process in the last three decades. Thanks to the latest advances in technology, they have been able to perform an ever-increasing number of tasks, eventually replacing human work within the whole production process. However, because of the scarcity of suitable data, the extent of this potentially disrupting process is not fully assessed. This paper makes up for the lack of empirical evidence on the effect of robotization on labour dislocation using data collected by the International Federation of Robotics (IFR) on the number of robots installed in the different manufacturing industries of 16 OECD countries over the period 2011–2016. We show that at the industry level a 1% growth in the number of robots reduces the growth rate of worked hours by 0.16, as well as the selling prices and the real values of the compensations of employees. Moreover, we show that a given sector is more likely to be robotized when it is expanding both in terms of relative prices and employee compensations. We conclude that, at least in the selected countries, the introduction of robots plays a key role in slowing down human labour and compensation growth.     

Volatility and persistence of fluntuations: individual production series in Italy, 1890–1985

The analysis is focused on possible time-related changes in the cyclical behaviour of production using a set of individual production series. Disaggregate data are used to analyse whether short-run fluctuations have actually become less extreme or erratic in time and whether the tendency of shocks to have permanent or transitory effects has changed between the pre-war and post-war eras. A third aspect of cyclical trends examined concerns the correlation of short-term changes across sectors. The main finding of the paper is that there has been little change in the behaviour of the individual series over time in fluctuation size, persistence and frequency. Thus, a reduction in variability appears also to be due to a problem of statistical measurement. Rather then suggesting, as the standard literature does, that demand shocks were unimportant in the post-war period – which implies that supply shocks were more important – an estimate of the Italian experience gives evidence of the importance of both causes.