The role of unaffiliated bankers on conditional conservatism: Evidence from IFRS information shock

We exploit IFRS mandatory adoption as a source of variation in the demand for conditional conservatism to examine the role of unaffiliated bankers on the level of conditional conservatism. We show that firms with unaffiliated bankers on boards of directors experience a significant increase in the level of conditional conservatism compared with firms without unaffiliated bankers on boards. These findings hold after we account for other country‐level factors that shape the demand for conditional conservatism. Additional analyses show that the role of unaffiliated bankers on conditional conservatism depends also on firm‐specific incentives arising from the contracting environment. Taken together, our findings provide new insights into the role of corporate governance arrangements on financial reporting outcomes.     

Non-compliant behaviour in public procurement: an evolutionary model with endogenous monitoring

Decisions in Economics and Finance - In recent years, the study of the evolution of non-compliant behaviour in public procurement has been widely developed due to the growing economic relevance of...     

Price Caps and Output Floors: A Comparison of Simple Regulatory Rules

We study in this paper a simple alternative to price cap regulation. The mechanism, which we label 'output floor' regulation, requires the regulated firm to supply a given level of output. This rule is as simple as price cap regulation, and performs identically when the regulated firm is a natural monopoly; however, we show that, in the presence of a competitive fringe, output floor regulation yields lower prices and stronger incentives for cost reduction. Its introduction, however, is likely to be resisted by the industry, since it lowers managerial utility and shareholders' profits.     

Home gardens,household nutrition and income in rural farm households in Odisha,India

Home gardens have been an integral part of the recent food-based interventions aimed at stimulating changes in dietary patterns and improving nutrition. However, evidence of their effects on food security, dietary quality, child anthropometry and incomes is limited, particularly among vulnerable populations groups. Using panel data from a sample of approximately 1900 households from vulnerable population groups in Odisha, India, difference-in-differences and other econometric techniques, we analyse the effects of home gardens on food security, dietary quality, child anthropometry and income. On average, home gardens contribute to better household food security, higher dietary quality of men and women but do not contribute to higher children's dietary quality and anthropometry. Also, home gardens increase monthly per adult equivalent incomes by 37% and reduce the prevalence of poverty by 11.7 percentage points. Quantile regression results suggest that home gardens enhance food security and incomes in all quantiles, but richer farmers benefit more than poorer farmers. Overall, home gardens can enhance household food security, dietary quality of men and women, and income gains among vulnerable farming population groups, but they may not suffice to improve child dietary quality and anthropometry.     

HOUSEHOLDS' NON-SNA PRODUCTION: LABOUR TIME, VALUE OF LABOUR AND OF PRODUCT, AND CONTRIBUTION TO EXTENDED PRIVATE CONSUMPTION

This paper first shows, with data from fourteen countries, the potential of time-use studies for measuring, in comparable physical quantities, labour inputs in SNA and in non-SNA production. It then presents the monetary valuations of unpaid household labour and of households' non-market product achieved on the basis of time-use data in a few of these countries. Further elaboration of these valuations illustrates the contribution of households' non-SNA production to extended private consumption. The conclusion suggests desirable future developments.     

Can unbiased be tighter? Assessment of methods to reduce the bias-variance trade-off in WTP estimation

This paper aims at verifying the claim, appeared in recent literature, that it is possible to control for response bias associated to the double bound elicitation method, while keeping gains in efficiency of the WTP estimates. Results from a Monte Carlo analysis lead, in general, to reject the claim; but when initial bids are not correctly chosen, the gains in efficiency are confirmed. An empirical application dealing with WTP estimation for drinking water quality improvements illustrates a case where a flexible modeling approach based on Copula distributions allows relevant gains with respect to the Single Bound estimator.     

Consumption and income smoothing

This article presents a two-sector dynamic general equilibrium model in which income smoothing takes place within the households (intra-temporally), and consumption smoothing takes place among the households (inter-temporally). Idiosyncratic risk-sharing within the family is based on an income smoothing contract. There are two-sectors in the model, the regular sector and the underground sector, and the smoothing comes from the underground sector, which is countercyclical with respect to aggregate GDP. The article shows that the simulated disaggregated consumption and income series (that are the regular and underground consumption flows) are more sensitive to exogenous changes in sector-specific productivity and tax rates than regular and underground income flows, and that this picture is reversed when the aggregate series are considered.     

Intangible assets as drivers of innovation: Empirical evidence on multinational enterprises in German and UK regional systems of innovation

The sources of value creation are increasingly relying on intangible assets (IAs). IAs are the lifeblood of knowledge-intensive industries where the new value added is disproportionally based on specialized, non-repetitious activities. However, while the role of IAs is recognised as central to sustain the competitiveness of firms and innovation systems, the understanding of the mechanisms through which IAs display their effects has not yet been fully grasped.By focussing on the processes through which investments in IAs occur, this paper aims to explore the key dimensions through which two specific IAs - organisational and network capital - are enhanced and contribute to the innovativeness and embeddedness of Multinational Enterprises (MNEs) in regional innovation systems. On the basis of over forty in-depth interviews to leading staff of German and UK flagship MNEs operating in the automotive, life science and ICT sectors, the paper shows that MNEs adopt rather distinctive strategies to develop IAs; that MNE degree of local embeddedness is strictly related to both the kind of IA strategy and the local environment; and that causation mechanisms are at work between MNE embeddedness and regional creation of IAs.     

Sulla stima della media e del secondo momento di una popolazione tramite campioni con risposta casualizzata

Il campionamento con risposta casualizzata, introdotto da S. L. Warner per la stima di proporzioni ed in seguito applicato dallo stesso autore e da altri alla stima di quantità, è stato oggetto di un recente studio di D. Olivieri che, proposto un semplice metodo di casualizzazione, perviene ad una stima non distorta della media della popolazione oggetto d'indagine.Nel presente lavoro si sviluppa lo studio di Olivieri fornendo una stima non distorta del secondo momento della popolazione e si propone un'altra stima della media e della varianza della popolazione ottenuta tramite un metodo di casualizzazione di più semplice applicazione.

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The randomized response technique of sampling was proposed for the first time by S. L. Warner for the estimation of proportions and then applied, by Warner himself and other authors, to the estimation of quantities.This technique has been recently the object of an approach by D. Olivieri who suggests an easy randomization method and obtains an unbiased estimate of the population mean.In this paper the approach of D. Olivieri is implemented, reaching an unbiased estimate of the second moment of the population; moreover, an other estimate of the mean and of the variance of the population, obtained by an easier-to apply method of randomization, is proposed.

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Versione definitiva pervenuta il 12-1-81     

Assessment of storm surge damage to coastal settlements in Southeast Florida

Coastal cities are growing at a very rapid pace, in terms of both population and physical assets, and great uncertainty surrounds the future evolution of hurricane intensity and sea-level rise. The combination of these trends will contribute to large financial losses due to property damage in the absence of specific protections. Southeast Florida represents a clear hot spot of coastal flood exposure: more than 5?million inhabitants live in the counties of Miami Dade, Broward, and Palm Beach, and the population is still growing. It is also a low-lying area where tropical hurricanes hit frequently. This article illustrates a methodology to assess coastal flood damage in urban settlements and it aims to determine more general lessons useful for all coastal cities. We consider the impact of different storm surges predicted by the SLOSH model and investigate flood risk considering different types of hurricanes. For each event, we apply a specific damage function and determine whether the considered storm surges potentially lead to an asset loss, considering both properties and their contents. The results show that, in the absence of protections, losses will be very high for large storm surges, reaching up to tens of billions of US dollars. In the second part of the analysis, we demonstrate how economic impact changes when protections are built up, considering different heights of protections. These results could be used as inputs into a robust decision-making process to determine the future of coastal protection in southern Florida.