Public pricing of final and intermediate goods in the presence of externalities

The purpose of this paper is to investigate the impact of externalities on pricing decisions by a public or a private regulated firm selling both final and intermediate goods. The externalities generate feedbacks in demand that affect both consumers and producers. The model is very general in that it does not impose constant returns to scale on private production, allows for distributional effects of both the publicly determined prices and private sector profits, and captures the general equilibrium effects of public pricing. Socially optimal pricing rules are derived, and the relation of the results with previous models of pricing in the presence of externalities is investigated.     

Dynamic duopoly with learning through market experimentation

Summary This paper analyzes how learning behaviors can substantially modify the outcome of competition in an oligopolistic industry facing demand uncertainty. We consider the case of a symmetric duopoly game where firms have imperfect information about market demand and learn through observing the volume of their sales. The main body of the paper consists in showing how market experimentation can explain the existence ofprice-dispersion in an oligopolistic industry. We study this phenomenon and its dynamic evolution in the context of an Hotelling duopoly model; we then extend the analysis to general demand functions and toN-firm oligopolies. We discuss some implications of the public good aspect of information about market demand. We then conclude with a few comments on what happens when the value of information in the oligopolistic industry is negative.We are very grateful to Patrick Bolton for his helpful advice. We also wish to thank Richard Caves, Anthony Creane, Jean-Jacques Laffont, Andreu Mas-Colell, Eric Maskin, Jean-Charles Rochet, Margaret Slade, John Sutton, Jean Tirole, Mike Whinston and an anonymous referee.     

Students’ opinions on teaching and services provided by the Italian Universities: a proposal for a new evaluation scheme

Quality & Quantity - In Italy, the evaluation of the internal effectiveness of academic training courses has been substantiated, for over 20 years, in periodical surveys on...     

Childhood preventive care,adult healthcare and economic growth: The role of healthcare financing

We analyze the impact of healthcare financing on economic growth, focusing on the issue of the joint public–private financing of healthcare (co-payment). We use an overlapping-generations model with endogenous growth based on health human capital accumulation, where families pay for childhood preventive care and the government can either fully finance or co-finance adulthood curative care. From a growth maximizing perspective, distortionary taxes give an advantage to co-financing. Nevertheless, we prove that, if agents are assumed to be heterogeneous in preferences, full financing can become the best option.     

Labor issues and COVID-19

The COVID-19 pandemic has prompted Canada and several other countries to impose an economic shutdown to prevent a deadly public health crisis from becoming much deadlier. In the agriculture and food sector, several hundred thousand restaurant workers have lost their jobs. The rise in unemployment, the closing of restaurants and schools, and social distancing have triggered demand reductions for certain commodities and foods and demand increases for others, bringing along changes in demand for inputs including labor. Canadian employers of temporary foreign workers (TFWs) are facing delays and additional constraints in recruiting, but so have US and European employers of TFWs. Rising food security concerns are making protectionist trade policies popular. Domestic and foreign firms may export less and do more foreign direct investment, inducing trade in jobs.     

Job protection,housing market regulation,and the youth

Young Europeans experience high unemployment rates, job instability, and late emancipation. Meanwhile, they do not support reforms weakening protection on long‐term contracts. In this paper, we suggest a possible rationale for such reform distaste. When the rental market is strongly regulated, landlords screen applicants with regard to their ability to pay the rent. Protecting regular jobs offers a second‐best technology to sort workers, thereby increasing the rental market size. We provide a model where nonemployed workers demand protected jobs despite unemployment and the share of short‐term jobs increases, whereas the individual risk of dismissal is unaffected. Our theory can be extended to alternative risks and markets involving correlated risks and commitment under imperfect information.     

The effect of social media communication on consumer perceptions of brands

Researchers and brand managers have limited understanding of the effects social media communication has on how consumers perceive brands. We investigated 504 Facebook users in order to observe the impact of firm-created and user-generated (UG) social media communication on brand equity (BE), brand attitude (BA) and purchase intention (PI) by using a standardized online survey throughout Poland. To test the conceptual model, we analyzed 60 brands across three different industries: non-alcoholic beverages, clothing and mobile network operators. When analyzing the data, we applied the structural equation modeling technique to both investigate the interplay of firm-created and user-generated social media communication and examine industry-specific differences. The results of the empirical studies showed that user-generated social media communication had a positive influence on both brand equity and brand attitude, whereas firm-created social media communication affected only brand attitude. Both brand equity and brand attitude were shown to have a positive influence on purchase intention. In addition, we assessed measurement invariance using a multi-group structural modeling equation. The findings revealed that the proposed measurement model was invariant across the researched industries. However, structural path differences were detected across the models.     

Computer assisted text analysis in the social sciences

We use the term “Computer Assisted Text Analysis” in a broad sense to refer to a range of current techniques from quantitative social science and content analysis to ‘data mining’ and ‘text classification’, including the analysis of open-ended survey questions, transcribed interviews and speeches, wherever, in fact, the researcher is confronted with data in the form of natural language texts of social scientific interest. These methods are often used in exploratory data analysis, but can also be applied systematically with moderate statistical rigour in the development and testing of hypotheses at various theoretical levels, ranging from the statistics of word usage to changes within or between discourses over time. The general approach is in the tradition of content analysis, by which words which occur together in relatively close proximity in the same context are interpreted as relating to a common theme or concept in the discourse studied. We review a comprehensive set of tools to identify and visualize structures of co-occurrence of words and concepts both within, and in comparing, a number of texts. These produce results not essentially different from those reached by representing word co-occurrences in terms of network analysis or neural network programming using schematic linguistic templates of various kinds. A comparison of the relational data analysis vs. a dictionary-based MDS approach shows that these provide very close if not identical results, despite the fact that the underlying assumptions are frequently represented as different theoretical approaches.