Can the Timing of Negotiations Impact the Consequences of Mergers?

This paper uses a theoretical model to examine whether variation in the timing of negotiations between buyers and sellers can alter the effects of mergers between sellers. The model shows that mergers between horizontally overlapping firms lead to price increases regardless of how negotiations take place. In contrast, mergers between firms in different markets can only lead to higher compensation for the combined firm when negotiations occur sequentially. However, any price effects from out‐of‐market mergers stem from a mechanical redistribution of existing market power and not from a loss in competition. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.     

Financial functional analysis: a conceptual framework for understanding the changing financial system

The financial system is currently undergoing a revolution brought about by e-finance, digital convergence, new market entrants and government-encouraged competition. New market entrants such as Apple, Alibaba, Facebook and Google come from industries such as IT, retail, social media and telecoms, and, therefore, do not fit comfortably within traditional financial institutional structures. A functional perspective might provide more practical insights into this revolution; however, the functional perspective has had a limited impact. This paper will investigate the benefits and limitations of financial functional analysis; probe the underpinning principles of sociology’s structural functional analysis; revisit Merton and Bodie’s (1995) six core financial functions in relation to new entrants in the financial landscape; and, finally, argue that in the new financial environment, functional analysis provides a more coherent and explanatory framework of the financial system for students and practitioners alike.     

Two-stage DEA: <Emphasis Type="Italic">caveat emptor</Emphasis>

This paper examines the wide-spread practice where data envelopment analysis (DEA) efficiency estimates are regressed on some environmental variables in a second-stage analysis. In the literature, only two statistical models have been proposed in which second-stage regressions are well-defined and meaningful. In the model considered by Simar and Wilson (J Prod Anal 13:49–78, 2007), truncated regression provides consistent estimation in the second stage, where as in the model proposed by Banker and Natarajan (Oper Res 56: 48–58, 2008a), ordinary least squares (OLS) provides consistent estimation. This paper examines, compares, and contrasts the very different assumptions underlying these two models, and makes clear that second-stage OLS estimation is consistent only under very peculiar and unusual assumptions on the data-generating process that limit its applicability. In addition, we show that in either case, bootstrap methods provide the only feasible means for inference in the second stage. We also comment on ad hoc specifications of second-stage regression equations that ignore the part of the data-generating process that yields data used to obtain the initial DEA estimates.     

Nondiscretionary residential water use: the impact of habits and water‐efficient technologies

Several studies published in the last few decades have demonstrated a low price‐elasticity for residential water use. In particular, it has been shown that there is a quantity of water demanded that remains constant regardless of prices and other economic factors. In this research, we characterise residential water demand based on a Stone‐Geary utility function. This specification is not only theory‐compatible but can also explicitly model a minimum level of consumption not dependent on prices or income. This is described as minimum threshold or nondiscretionary water use. Additionally, the Stone‐Geary framework is used to model the subsistence level of water consumption that is dependent on the temporal evolution of consumer habits and stock of physical capital. The main aim of this study is to analyse the impact of water‐saving habits and water‐efficient technologies on residential water demand, while additionally focusing attention on nondiscretionary uses. This is informed by an empirical application using data from a survey conducted among residents of Brisbane City Council, Australia. The results will be especially useful in the design of water tariffs and other water‐saving policies.     

Competing priorities as constraints in event travel careers

An event travel career is a potentially lifelong pattern of travel to events linked with an individual’s preferred leisure activity. This paper applies the concept of an event travel career to non-elite triathletes. For these active sport tourists, ongoing pursuit of an event travel career is arguably constrained by competing priorities that intervene between everyday life and their pursuit of an event travel career. In-depth interviews were conducted with 21 triathletes identified as pursuing an event travel career. Interpretive analysis revealed seven domains of competing priorities that could work to constrain their event travel career aspirations. These domains included familial relationships, domestic responsibilities, sociability, finances, leisure, wellbeing, and work/education. The seven competing priority domains were interrelated, and cyclical in their constraining effects. Data assisted in clarifying some defining characteristics of the event travel career concept, and challenged notions of leisure participation as entirely positive and fulfilling.     

The trend in female labour force participation: what can be expected for the future?

This study investigates the increase in the labour force participation rate of women. We estimate a binary age–period–cohort model for a sample of Dutch women born between 1925 and 1986. The results indicate that the increasing level of education and the diminishing negative effect of children have played an important role. Moreover, we find important unobserved cohort effects for pre-1955 generations, which is in line with results of studies on social norms. It is shown that the growth in female participation is likely to slow down in the near future, as such cohort effects are not relevant for younger generations.     

Strictness of leniency programs and asymmetric punishment effect

We analyze the impact of leniency programs on the behavior of firms participating in illegal cartel agreements in a two-stage repeated game model. Our approach takes into account asymmetric punishment effect and allows to discuss the design of leniency programs in the setting with asymmetries. The main contribution of the paper is that we consider heterogeneous firms. This heterogeneity results in additional costs in case of disclosure of the cartel, which are caused by asymmetric punishments. Next, following current antitrust rules, we analyze effects of the strictness of leniency programs, which reflects the likelihood of getting a complete exemption from fine even in case many firms self-report simultaneously. Our main conclusion is that leniency programs work better for small companies, since a lower rate of law enforcement is needed in order to induce self-reporting by smaller firms, while big firms are less likely to start a cartel in the first place given the possibility of self-reporting in future. Finally, we analyze optimal enforcement strategies of the antitrust authority and conclude that the authority with limited resources should implement more generous leniency rules the more cartelized the economy is.