A New Approach to the Study of Jobless Recoveries

This article is concerned with the measurement of jobless recoveries and the elements that may explain their emergence. We first introduce a measure that maps the various elements that define a jobless recovery into a single number that we label the jobless recovery depth. We then construct a database of 389 state‐level observations and study the cross‐sectional variations that emerge. We find that jobless recoveries in the United States are not a nation‐wide phenomena, but a local event confined within a cluster of states that expands slowly between 1975 and 2015. We find the state‐level evidence to be consistent with theories that link jobless recoveries to unusually long expansionary periods, less dynamic labor markets, and the advent of the great moderation. The evidence is not consistent with theories that link them to decreases in union power, increases in income inequality, or increases in health care costs.     

Does the Eco‐Management and Audit Scheme Foster Innovation in European Firms?

This paper studies whether environmental management systems can spur eco‐innovation, analyzing EMAS (Eco‐Management and Audit Scheme) adoption and patented innovations (at the European Patent Office) at firm level. It uses an original panel database of 30 439 European firms belonging to all sectors from 2003 to 2012. An original instrumental variable is implemented to control for potential endogeneity. The analysis reveals that EMAS adoption is conducive to more innovation at the firm level. The results vary across countries and sectors. In particular, EMAS is positively related to green patents for medium and low technology manufacturing. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

The Influence of Ownership and Compensation Practices on Charitable Activities

Recent accounting research provides evidence that similar profit‐based compensation incentives are used in for‐profit and nonprofit hospitals. Because charity care reduces profits, such incentives should lead for‐profit hospital managers to reduce charity care levels. Nonprofit hospital managers, however, may respond differently to the same incentives because they face a different set of institutional pressures and constraints. We compare the association between pay‐for‐performance incentives and charity care in for‐profit and nonprofit hospitals. We find a negative and significant association between charity care and our proxy for profit‐based incentives in for‐profit hospitals, and no significant association in nonprofit hospitals. These results suggest that linking manager pay to profitability does not appear to discourage charity care in nonprofit hospitals. Apparently, the nonprofit mission, institutional pressures, and ownership constraints moderate the potentially negative effects of profit‐based incentives. Because this evidence partially alleviates concerns over nonprofit compensation arrangements that mirror those used in for‐profit hospitals, it should be of interest to regulators and policymakers. In addition, this study provides insights into accounting researchers about institutional and organizational influences that affect managerial responses to financial incentives in compensation contracts.     

CHOOSING THE VARIABLES TO ESTIMATE SINGULAR DSGE MODELS

We propose two methods to choose the variables to be used in the estimation of the structural parameters of a singular DSGE model. The first selects the vector of observables that optimizes parameter identification; the second selects the vector that minimizes the informational discrepancy between the singular and non‐singular model. An application to a standard model is discussed and the estimation properties of different setups compared. Practical suggestions for applied researchers are provided. Copyright © 2014 John Wiley & Sons, Ltd.     

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.     

A characterization for solutions of stochastic discrete time optimization models

A notion of finitely optimal plan for intertemporal optimization problems as a necessary condition for optimality is introduced. Under interiority of a feasible plan and differentiability of the return function, such a plan satisfies the stochastic analogue of deterministicEuler-Lagrange conditions, which become also sufficient conditions under concavity of the return function. Then, under more general assumptions, a sufficient criterion of optimality based on competitive plans supported by price systems and transversality conditions is discussed. Differently from the current literature, no restrictive hypotheses on the probability measure of the random shocks are assumed.

---

Sommario Nella prima parte del lavoro si studiano le soluzioni dettefinitamente ottime che costituiscono una condizione necessaria per l'ottimalità di un piano ammissibile . Sotto ipotesi di interiorità del piano ammissibile e di differenziabilità della funzione obiettivo uniperiodaleF, vengono formulate le condizioni necessarie diEuler-Lagrange in ambito stocastico; aggiungendo l'ulteriore ipotesi di concavità perF, tali condizioni diventano anche sufficienti per l'ottimalità finita.La teoria viene poi estesa al caso sopradifferenziabile ottenendo una generalizzazione delle condizioni di Euler-Lagrange stocastiche che consente di individuare i piani finitamente ottimi mediante la nozione dicompetitività, ovvero supportabilità di un sistema di prezzi aleatori. Con una condizione di trasversalità all'infinito, la competitività diventa condizione sufficiente anche per l'ottimalità propria (cioè non solo finita).La peculiarità della presente trattazione è che tali condizioni sono formulate sotto ipotesi molto generali per quanto riguarda il processo degli shocks esogeni.

     

Form of Ownership and Financial Constraints:Panel Data Evidence From Flow of Funds and Investment Equations

This paper analyzes the effects of the form of ownership on the substitutability between internal and external sources of finance in Italy. In particular, we test whether financial constraints are more severe for independent firms compared to members of large national business groups and subsidiaries of foreign multinational corporations. The results obtained from flow of funds and investment equations estimated for a panel of Italian companies imply that independent firms face more severe financial constraints. In fact, not only members of national groups and subsidiaries of multinational corporations find it easier to substitute cash flow with external finance when the former falls but they do not display excess sensitivity to cash flow and debt in their investment decisions.     

Business cycle measurement with some theory

A method to evaluate cyclical models not requiring knowledge of the DGP and the exact specification of the aggregate decision rules is proposed. We derive robust restrictions in a class of models; use some to identify structural shocks in the data and others to evaluate the class or contrast sub-models. The approach has good properties, even in small samples, and when the class of models is misspecified. The method is used to sort out the relevance of a certain friction (the presence of rule-of-thumb consumers) in a standard class of models.     

Coherent Distortion Risk Measures and Higher-Order Stochastic Dominances

Abstract

We show that the only coherent distortion risk measure that is consistent with respect to 3-convex order and hence with stochastic dominance of order 3 is the expected value, thus generalizing previous results of Hurlimann and solving a problem posed by Yamai and Yoshiba.     

Modelling tourism flows through gravity models: a quantile regression approach

Gravity models are widely used to study tourism flows. The peculiarities of the segmented international demand for agritourism in Italy are examined by means of a novel approach: a panel data quantile regression. We characterize the international demand for Italian agritourism with a large data set, by considering data of 33 countries of origin, from 1998 to 2010. Distance and income are the major determinants, but we also found that mutual agreements and high urbanization rates in countries of origin are associated with larger flows of incoming tourists.