Insurance fraud detection: A statistically validated network approach

Fraud is a social phenomenon, and fraudsters often collaborate with other fraudsters, taking on different roles. The challenge for insurance companies is to implement claim assessment and improve fraud detection accuracy. We developed an investigative system based on bipartite networks, highlighting the relationships between subjects and accidents or vehicles and accidents. We formalize filtering rules through probability models and test specific methods to assess the existence of communities in extensive networks and propose new alert metrics for suspicious structures. We apply the methodology to a real database—the Italian Antifraud Integrated Archive—and compare the results to out-of-sample fraud scams under investigation by the judicial authorities.     

Factor-eliminating technical change

Perpetual growth requires offsetting diminishing returns to reproducible factors of production. In this article we present a theory of factor elimination. For simplicity and clarity, there is no augmentation of non-reproducible factors, thus excluding the standard engine of growth. By spending resources on R&D, agents learn to change the exponents of a Cobb–Douglas production function. We obtain the economy's balanced growth path and complete transition dynamics. The theory provides a mechanism for the transition from an initial technology incapable of supporting perpetual growth to one with constant returns to reproducible factors that supports it.     

Lessons From Italy: A Good Pension System Needs an Effective Broader Social Policy Framework

Intereconomics - Italy, which is sometimes considered a laggard in terms of social and economic reforms, can boast a pension system that is, by and large, functioning sufficiently well in terms of...     

The role of family ownership in international entrepreneurship: exploring nonlinear effects

Empirical research on international entrepreneurship is growing, but results on the role of family ownership in this phenomenon are inconsistent. We believe these inconsistencies owe to prior researchers having not yet investigated nonlinear relationships. Drawing on opposing perspectives of stewardship and stagnation, we explore potential benefits and drawbacks of family ownership for international entrepreneurship and explore nonlinear relationships among these two variables. Using a sample of 1,035 US family businesses and applying ordinal regression analysis, we find an inverted U-shaped relationship between family ownership and international entrepreneurship: International entrepreneurship is maximized when family ownership stands at moderate levels. We discuss the implications of our findings for theory and practice and indicate avenues for future research.     

The Effects of Auditor Social and Human Capital on Auditor Compensation: Evidence from the Italian Small Audit Firm Market

Abstract

This study examines whether social and human capital influence the compensation of individual auditors in the small audit firm market. We employ a sample of Italian auditors and use measures from the network and auditing literatures to capture their professional connections, representing social capital, and their industry expertise, representing human capital. Our findings show a positive and economically meaningful association between these individual attributes and auditor compensation. We run several tests to address potential endogeneity issues in our research design. Our results suggest that, in the small audit market, clients perceive as valuable those auditors with higher social and human capital, and as a result, are willing to pay a premium for these specific auditor attributes.     

Rational panics and stock market crashes

This paper offers an explanation for stock market crashes which focuses on the role of rational but uninformed traders. We show that uninformed traders can precipitate a price crash because as prices decline, they surmise that informed traders received negative information, which leads them to reduce their demand for assets and drive the price of stocks even lower. The model yields several implications, such as that crashes can occur even when the fundamentals are strong, and that the magnitude of the crash depends on the fraction of uninformed investors and the amount of unsophisticated passive investing present in the market.     

Net Neutrality in Europe: Desperately seeking a market failure

Net Neutrality has become the focus of attention in the regulatory debate on the Internet. This article attempts to strip down the debate to its bare essential. It identifies two main types of Net Neutrality obligations that have been put forward and assesses what type of potential concerns they may be designed to address. It concludes that while some of these concerns may be important it remains doubtful (at least in Europe) that an ex ante per se rule, such as those proposed under the Net Neutrality term, is the best way to address them.     

A note on the exact transformation associated with the first-order moving average process

Exact analytical expressions for the transformation that can be used to transform a generalized regression problem into a simple regression problem are available for a variety of models. Such is the case, for instance, for purely heteroscedastic models, for the first-order Markov process and for error components models. For the first-order moving average process, on the other hand, the exact transformation has not yet been produced. This gap is filled in the present note.Implications for estimation and prediction are also considered.