Statistical Analysis of Choice Experiments and Surveys

Measures of households' past behavior, their expectations with respect to future events and contingencies, and their intentions with respect to future behavior are frequently collected using household surveys. These questions are conceptually difficult. Answering them requires elaborate cognitive and social processes, and often respondents report only their “best” guesses and/or estimates, using more or less sophisticated heuristics. A large body of literature in psychology and survey research shows that as a result, responses to such questions may be severely biased. In this paper, (1) we describe some of the problems that are typically encountered, (2) provide some empirical illustrations of these biases, and (3) develop a framework for conceptualizing survey response behavior and for integrating structural models of response behavior into the statistical analysis of the underlying economic behavior.     

Research design in total institutions: problems,pitfalls, and possible solutions

Research in total institutions is fraught with problems and pitfalls rarely discussed in methodology and research design textbooks but regularly encountered in the literature. Five of the major relevant problems in research designs for this area are considered, examples of the pitfalls are given, and suggestions for minimizing or overcoming them are offered.     

Exploring how innovation strategies at time of crisis influence performance: a cluster analysis perspective

This paper analyzes the connection between innovation activities of companies – implemented before crisis – and their performance – measured at time of crisis. The companies listed in the STAR Market Segment of the Italian Stock Exchange are analyzed. Innovation is measured through the level of investments in total tangible and intangible fixed assets in 2006–2007, while performance is captured through growth – expressed by variations of sales, total assets and employees – profitability – through ROI or ROS – and productivity – through asset turnover or sales per employee in the period 2008–2010. The variables of interest are analyzed and compared through statistical techniques and by adopting cluster analysis. In particular, a Voronoi tessellation is also implemented in a varying centroids framework. In accord with a large part of the literature, we find that the behaviour of the performance of the companies is not univocal when they innovate.     

IS A SOCIAL EMPOWERMENT OF PPP FOR INFRASTRUCTURE DELIVERY POSSIBLE? LESSONS FROM SOCIAL IMPACT BONDS

Social Impact Bonds (SIBs) have emerged in recent years as outcome‐based public‐private partnerships (PPP) for the delivery of welfare services, where the payment to the private operator is linked to the achievement of superior social impact. Since the traditional infrastructure‐based PPP approach seems to have failed to achieve higher level of efficiency and, above all, effectiveness, this paper discusses the extent to which the SIB model can represent a reference point to innovate the PPP model by introducing more focus on outcome achievement and social value generation.     

A unified approach to systemic risk measures via acceptance sets

We specify a general methodological framework for systemic risk measures via multidimensional acceptance sets and aggregation functions. Existing systemic risk measures can usually be interpreted as the minimal amount of cash needed to secure the system after aggregating individual risks. In contrast, our approach also includes systemic risk measures that can be interpreted as the minimal amount of cash that secures the aggregated system by allocating capital to the single institutions before aggregating the individual risks. An important feature of our approach is the possibility of allocating cash according to the future state of the system (scenario‐dependent allocation). We also provide conditions that ensure monotonicity, convexity, or quasi‐convexity of our systemic risk measures.     

The role of industry variety in the creation of innovative start-ups in Italy

Small Business Economics - This paper aims to ascertain whether related and unrelated industry variety affects the creation of innovative as opposed to other start-ups in Italian local labor market...     

Board diversity reforms: Do they matter for EU bank performance?

We examine the impact of governance reforms related to board diversity on the performance of European Union banks. Using a difference‐in‐difference approach, we document that reforms increase bank stock returns and their volatility within the first 3 years after their enactment. The type of reform matters, with quotas increasing return volatility. The effectiveness of reforms depends on a country's institutional environment. The impact of reforms on return volatility is found to be beneficial in countries more open to diversity, with common law system and with greater economic freedom. Finally, reforms play a bigger role in banks that have ex ante less heterogeneous boards.     

Conceptualizing social entrepreneurship in the context of emerging economies: an integrative review of past research from BRIICS

Social entrepreneurship is well practiced and talked about in emerging economies. However, till date, no dedicated review and conceptual framework exists, synthesizing and integrating past social entrepreneurship research in the fast growing emerging economies, commonly known as BRIICS (Brazil, Russia, India, Indonesia, China, and South Africa). The purpose of this article is to bridge that gap by conducting an integrative review of 123 most relevant peer-reviewed scholarly articles, filtered out of 1779 search results in six different research databases. Country-specific conceptual perspectives have been extracted and integrated to formulate a novel social entrepreneurship framework that is inclusive of five key social entrepreneurship dimensions emerging from these economies: (a) Social Welfare, (b) Social Capital, (c) Social Entrepreneur, (d) Economic Value Creation, and (e) Collective Endurance. This exercise was an initiative to facilitate the global community of social entrepreneurship researchers and practitioners in understanding the diversity, meaning, and evolution of the social entrepreneurship phenomenon in the context of emerging economies. They can advance research in this domain with the aid of the proposed framework and the research questions proposed for future research.     

Partial identification of probability distributions with misclassified data

This paper addresses the problem of data errors in discrete variables. When data errors occur, the observed variable is a misclassified version of the variable of interest, whose distribution is not identified. Inferential problems caused by data errors have been conceptualized through convolution and mixture models. This paper introduces the direct misclassification approach. The approach is based on the observation that in the presence of classification errors, the relation between the distribution of the ‘true’ but unobservable variable and its misclassified representation is given by a linear system of simultaneous equations, in which the coefficient matrix is the matrix of misclassification probabilities. Formalizing the problem in these terms allows one to incorporate any prior information into the analysis through sets of restrictions on the matrix of misclassification probabilities. Such information can have strong identifying power. The direct misclassification approach fully exploits it to derive identification regions for any real functional of the distribution of interest. A method for estimating the identification regions and construct their confidence sets is given, and illustrated with an empirical analysis of the distribution of pension plan types using data from the Health and Retirement Study.