Selective immigration policies, human capital accumulation and migration duration in infinite horizon

An increasing literature fosters selective immigration policies as a tool to increase human capital in both source and destination countries. These policies are supposed to prompt incentives to education, and–if selection is sufficiently severe–to increase the human capital stock in source countries. Nonetheless, when compared to open migration, selective policies make returns to education uncertain, and they may harm incentives to invest in human capital. As a consequence, they may reduce the human capital stock even though selection is “severe”. Moreover, when repeated migration is possible, they backfire on migration duration. We obtain our results in an infinite-horizon model that, unlike the current literature, places no restriction on the number of possible migration spells and allows for the possibility of a forced emigration.     

Recruitment channel use and applicant arrival: An empirical analysis

This paper focuses on the recruitment behaviour of firms at the extensive margin; we empirically explore the relationship between employer search strategies and the number of applicants by means of (reduced form) two-equations simultaneous models. The empirical analysis is carried out on a rich micro data set on Dutch employer recruitment behaviour. Our empirical analysis reveals that the economic conditions prevailing on the labour market influence employer search activity at the extensive margin. In particular, we see that in tight (slack) labour markets characterised by excess demand (supply) of labour, the flow of applicants is smaller (larger). Employers react to the shortage (excess) of applicants by using more (less) often advertisements. This recruitment channel appears to trigger a significantly larger flow of applicants. First version received: December 1997/Final version received: June 2000     

Multi-part tariffs and differentiated commodity taxation

We study commodity taxation in markets where firms, such as Internet Service Providers, energy suppliers, and payment card platforms, adopt multi-part tariffs. We show that ad valorem taxes can correct underprovision and hence increase welfare, provided the government applies differentiated tax rates to the usage and access parts of the tariff. We obtain this result in different settings, including vertically interlinked markets, markets where firms adopt menus of tariffs to screen consumers, and where they compete with multi-part tariffs. Our results suggest that exempting these markets from taxation may be inefficient.     

Smoke and Mirrors? Disclosures in the Marijuana Industry in Canada

Licensed producers (LPs) of marijuana in Canada are embedded in a highly competitive industry where they raise funds from investors to finance their growth. They face substantial risks from the uncertain legal status of marijuana and from its unsettled health and safety consequences. We argue that this context stands to have implications for the disclosures of firms in the marijuana industry. We rely on a multicase study of three large Canadian LPs to explore their mandatory and voluntary disclosures during the third quarter of 2018. We find that their mandatory interim disclosures are largely consistent with disclosure rules that target marijuana operations. We also find that they make voluntary disclosures relevant for their context (e.g., about risks from legal, health, and safety consequences), and that there is variation in these disclosures. We use our findings as a springboard for discussing the antecedents of mandatory and voluntary disclosures in the marijuana industry (i.e., proprietary costs, investor interest, detection costs of selective disclosures), and their consequence (i.e., lack of comparability). We offer suggestions for future research.     

Paving the road toward eco-effectiveness: Exploring the link between greenhouse gas emissions and firm performance

Climate change has increasingly attracted business attention over the last decade, focusing particularly on the eco-efficiency debate. The goal of this paper is twofold. First, we contribute to the ongoing debate on the effects of environmental strategies on firm performance. We investigate this relationship by considering the relative greenhouse gas emissions (GHG) as a predictor of the eco-efficiency of firms' environmental strategies. GHG emissions are a direct indicator of the environmental performance and effectively measure the firm's efforts in mitigating the impacts related to its processes and products. Second, we investigate the drivers that lead to an increase in the firm's environmental impact under the conditions of increasing market performance by the firm, therefore paving the road to the concept of eco-effectiveness of corporate environmental strategies. To test our hypotheses, we use a sample of worldwide listed companies derived from the S&P 1200 list. A longitudinal analysis is run through generalized least squares regression models over the period 2004–2016. Results offer evidence of the direct relationship between the level of absolute emissions and market performance of the firm. Therefore, the findings have significant implications on the way we conceptualize corporate environmental sustainability and environmental strategies, shedding new light on the relation between environmental pressures and corporate growth.     

Cognitive job crafting: A possible response to increasing job insecurity and declining professional prestige

Recent research has shown that job crafting, which describes individuals' attempts to craft a job to make it correspond more to personal inclinations, skills, and abilities, can generate significant work and nonwork benefits for individuals. Using the theoretical lens of activation theory, we examined whether professionals are prompted to cognitively craft their jobs in response to the increasing perception of precarisation of their profession, measured in terms of job insecurity and perceived external prestige. We adopted a mixed methods approach among professional accountants operating in Southern Italy and the results indicated the presence of two curvilinear relationships. More specifically, we found that accountants were more likely to engage in cognitive crafting when experiencing moderate levels of job insecurity (rather than high or low) and in the presence of both low and high levels of perceived external prestige (rather than a moderate level). Implications for theory and practice are discussed.     

AGGREGATE EMPLOYMENT DYNAMICS AND (PARTIAL) LABOUR MARKET REFORMS

European labour markets have undergone several important innovations over the last three decades. Most countries have reformed their labour markets since the mid‐1990s, with the liberalization of fixed‐term contracts and temporary work agencies being the common elements to such reforms. This paper investigates the existence of a change in the dynamic behaviour of the aggregate employment for major European Union countries – France, Germany, Italy and Spain. According to our results, partial labour market reforms have made the response of the aggregate employment to output shocks larger and quite comparable to that found for the UK – the most flexible labour market in Europe since the Thatcher reforms.     

A binomial approximation for two-state Markovian HJM models

This article develops a lattice algorithm for pricing interest rate derivatives under the Heath et al. (Econometrica 60:77–105, 1992) paradigm when the volatility structure of forward rates obeys the Ritchken and Sankarasubramanian (Math Financ 5:55–72) condition. In such a framework, the entire term structure of the interest rate may be represented using a two-dimensional Markov process, where one state variable is the spot rate and the other is an accrued variance statistic. Unlike in the usual approach based on the Nelson-Ramaswamy (Rev Financ Stud 3:393–430) transformation, we directly discretize the heteroskedastic spot rate process by a recombining binomial tree. Further, we reduce the computational cost of the pricing problem by associating with each node of the lattice a fixed number of accrued variance values computed on a subset of paths reaching that node. A backward induction scheme coupled with linear interpolation is used to evaluate interest rate contingent claims.     

Computing finite-time survival probabilities using multinomial approximations of risk models

We consider the problem of computing finite-time survival probabilities for various risk models. We develop an approximating discrete-time multinomial lattice that mimics the evolution of the corresponding continuous risk process. A simple recursive algorithm to compute survival probabilities is described. Numerical results show that the proposed scheme yields accurate values in all the considered cases.