FROM THE LAB TO THE FIELD: A REVIEW OF TAX EXPERIMENTS

Tax experiments have been gaining momentum in recent years, although this literature dates back several decades. With new developments in methods and data availability, tax experiments have gradually moved away from lab settings and towards the field. This movement from the lab to the field has happened against the background of the ‘credibility revolution’ in applied economics, which has seen more rigorous methods applied to policy relevant questions, and of the availability to researchers of administrative data from tax returns. These developments have allowed significant advances in the experimental literature on tax compliance. This paper reviews this literature, giving particular attention to field experiments using administrative data, but putting them in the broader context of the compliance literature. A particular effort is made to take a global perspective, in a literature that is only recently seeing the emergence of evidence from Africa, Latin America and Asia.     

REMITTANCES AND FINANCIAL DEVELOPMENT: SUBSTITUTES OR COMPLEMENTS IN ECONOMIC GROWTH?

Recent studies indicate that the effect of migrants’ remittances on the economic growth of receiving countries depends negatively on the level of development of the domestic financial sector. In this paper, we introduce a new indicator of financial development to measure the efficiency of the domestic banking system, and find the existence of complementarity between remittances and bank efficiency in economic growth, such that remittances promote growth only in countries whose banks function well. This result is robust to controls for other traditional measures of financial depth and institutional quality indicators.     

Occupations in the European Labour Market During the COVID-19 Pandemic

In order to capture the consequences of the COVID-19 pandemic on the labour market, several aspects need to be taken into account. First, containment measures put in place in member states at different times and with different levels of severity determined the interruption of several economic activities that were considered non-essential. Second, different occupations require varying degrees of physical proximity and social interaction to be carried out; this implies that they can be considered more or less teleworkable, and affected by different levels of epidemiological risk of contagion. This paper shows the labour market impact of the pandemic on different categories of workers in the EU. Occupations are distinguished by three main characteristics: whether they are critical or non-critical, their level of technical teleworkability and the level of social interaction required in the job. We show that the impact of the COVID-19 pandemic on the labour market has been heterogeneous across occupations and that all three dimensions are relevant to determine whether and to what extent the occupations were affected by the pandemic.

     

Market microstructure,banks’ behaviour and interbank spreads: evidence after the crisis

We present a study of the European electronic interbank market of overnight lending (e-MID) before and after the beginning of the financial crisis. The main goal of the paper is to explain the structural changes of lending/borrowing features due to the liquidity turmoil. Unlike previous contributions that focused on banks’ dependent and macro information as explanatory variables, we address the role of banks’ behaviour and market microstructure as determinants of the credit spreads. We show that all banks experienced significant variations in their liquidity costs due to the sensitivity of interbank rates to the timing and side of trades. We argue that, while larger banks did experience better funding conditions after the crisis, this was not just a consequence of the “too big to fail” perception of the market. Larger banks have been able to play more strategically when managing their liquidity by taking advantage of the changing market microstructure.

     

Cross-correlation Measures in the High-frequency Domain

Abstract

On a high-frequency scale the time series are not homogeneous, therefore standard correlation measures cannot be directly applied to the raw data. To deal with this problem the time series have to be either homogenized through interpolation, or methods that can handle raw non-synchronous time series need to be employed. This paper compares two traditional methods that use interpolation with an alternative method applied directly to the actual time series. The three methods are tested on simulated data and actual trades time series.     

Which food safety information sources do Italian consumers prefer? Suggestions for the development of effective food risk communication

This study investigated which information sources Italian consumers use most frequently when they have a question about food safety in order to obtain useful insights to inform food risk communication. In 2011, a national survey was conducted targeting Italian people responsible for purchasing and preparing food for their households. Respondents’ choices of information sources on food safety were correlated with their socio-demographic and behavioural characteristics, their levels of objective knowledge, their levels of trust towards some authorities and their levels of self-perception regarding risk exposure. Our data analysis identified those information channels that are most likely to reach Italians actively seeking information. Mass media (radio/television/newspapers) were the most frequently used information source, followed by the Internet. Age, educational qualification, employment status, geographical area, family status and objective knowledge were the variables that influenced the choice for information sources used by the Italian population. The frequency of buying food products, the frequency of eating put and the frequency of cooking also showed a dependency relation. The profiles of those who actively seek information were also outlined. Among these, the Mass media users’ and the Internet users’ profiles were further analysed. Results show that Italian consumers do actively seek information about food safety, revealing that food safety continues to be a concern for the Italian consumers. Their interest in this topic represents an opportunity for public health authorities to address an audience of receptive consumers. Such information will be valuable in the design of targeted communication campaigns to increase consumers’ knowledge and awareness of food safety issues and will help authorities to choose the most effective channels through which to deliver key messages.     

Italian consumers’ attitudes towards food risks: self-protective and non-self-protective profiles for effective risk communication

The study aims to assess Italian consumers’ attitudes towards food risks and seeks to outline their socio-demographic and behavioural characteristics on the basis of their attitudes (self-protective and non-self-protective) towards food risks. Using the Computer-assisted telephone interviewing survey method, a sample of 1000 Italian consumers was interviewed on risk perception issues and general eating habits. Factor analyses on the consumers’ propensities to read the label when buying a food product for the first time, their propensities to seek food-related information and their perceived levels of exposure to food risks have enabled us to define Italian consumers’ attitudes towards food risks. Distinguishing between consumers with more self-protective attitudes and those with less self-protective attitudes and identifying their distinctive socio-demographic and behavioural characteristics (e.g. gender, age, the frequency with which respondents do grocery shopping and the channels used for further inquiry) are crucial for communication campaigns aimed at reducing consumers’ exposure to food risks.     

Interval regression models with endogenous explanatory variables

We consider the estimation of linear models where the dependent variable is observed by intervals and some continuous regressors may be endogenous. Our approach, an IV version of the technique devised by Stewart (Rev Econ Stud 50(3):737?C753, 1983), is fully parametric and two estimators are proposed: a two-step estimator and a limited-information maximum-likelihood estimator. The results can be summarized as follows: the two-step estimator has an intuitive appeal, and a Monte Carlo experiment suggests that its relative efficiency is rather satisfactory. The limited-information maximum-likelihood estimator, however, is probably simpler to implement and has the advantage of providing a framework in which several testing procedures are more straightforward to perform. The application of two-stage least squares to a proxy of the dependent variable built by taking midpoints, on the other hand, leads to inconsistent estimates; Monte Carlo evidence suggests that the bias arising from the ??midpoint?? technique is much worse than the effect of distributional misspecification. An example application is also included, which uses Australian data on migrants?? remittances; endogeneity effects are substantial and using conventional estimation methods leads to substantially misleading inference.     

Innovation dialectics: an extended process perspective on innovation in services

Services are characterised by the involvement of customers and other interest groups in the innovation process. The aim of this study is to understand how and why, in the service context, tensions and potential conflicts between heterogeneous interest groups unfold during processes of innovation. The empirical field in which the investigation was set is facility services, a type of business-to-business support services. The findings were extracted from a longitudinal, in-depth case study of a Danish, multi-national organisation over 13 years, complemented with an explorative study in the Danish facility service context. The findings suggest that tensions and conflicts between heterogeneous interest groups are an intrinsic element of innovation processes in services, and that emphasising them might actually support a clearer understanding of processes of innovation in services. The outcome of the analysis is a process model, which proposes innovation dialectics as one of the driving mechanisms of innovation in services.     

Herding effects in order driven markets: The rise and fall of gurus

We introduce an order driver market model with heterogeneous traders that imitate each other on a dynamic network structure. The communication structure evolves endogenously via a fitness mechanism based on agents performance. We assess under which assumptions imitation, among noise traders, can give rise to the emergence of gurus and their rise and fall in popularity over time. We study the wealth distribution of gurus, followers and non followers and show that traders have an incentive to imitate and a desire to be imitated since herding turns out to be profitable. The model is then used to study the effect that different competitive strategies (i.e. chartist & fundamentalist) have on agents performance. Our findings show that positive intelligence agents cannot invade a market populated by noise traders when herding is high.