Locus of control and individual learning: the moderating role of interactional justice

Organizations are increasingly investing in training programs for building managerial skills, with a special focus on employees considered ‘talents’ who must be prepared to cover strategic roles within the organization. One of the main goals of such programs is to develop participants' learning in order to tap their potential in a short time frame, ultimately to gain competitive advantage. However, participant learning is a complex process that can be hindered by different elements related to the characteristics of individuals and the context in which they act. In our research, we conducted a field study to analyze how the individual trait of locus of control (LOC) may negatively affect learning. Moreover, our study indicates that the contextual characteristic of interactional justice mitigates the negative effect of LOC on individual learning. We provide theoretical contributions and suggestions for managers in the light of our results.     

Selective Schools

This paper studies how schooling admission tests affect economic performance in an economy where individuals are endowed with both academic and non‐academic abilities and both abilities matter for labour productivity. We develop a simple model with schools run by the goverment, where individuals signal their abilities by taking an admission test and sort into low quality and high quality schools. When abilities are poorly correlated in the population, as documented in the literature, a standard test based only on academic abilities can be less efficient than a balanced test, which considers both ability types. We show that a sequential testing strategy, with schools testing academic abilities and firms testing non‐academic abilities on the sub‐sample of graduates of high quality schools, does not necessarily replicate the outcome of a balanced test.     

Efficiency and regulation in the case of the Swiss Private Railways

This paper discusses the efficiency of the Swiss Private Railways in an economic and regulatory context. For this purpose, scale efficiency and overall cost efficiency for 48 Swiss private railway companies are investigated. A translog cost function for a four-year panel is estimated and measures of economies of scale and density are derived. A compound indicator for network size and structure is introduced. The estimation results allow for a discussion of efficiency in terms of optimal scale and density. Overall cost efficiency is estimated by means of a frontier cost function. The findings on efficiency are discussed in the Swiss political and regulatory context. More specifically, a regression on the influence of ownership and subsidy structure on the efficiency is performed. The findings are that most of the Swiss private railway companies operate at an inappropriately low scale and density. While the companies are rather homogenous in terms of overall cost efficiency, evidence is found for a significant influence of regulation in terms of the subsidy structure.     

Stratified or Comprehensive? The Economic Efficiency of School Design

We study the efficiency of secondary school design by focusing on the degree of differentiation between vocational and general education. Using a simple model of endogenous job composition, we analyze the interaction between relative demand and relative supply of skills and characterize efficient school design when the government runs schools and cares about total net output. We show that neither a comprehensive nor a stratified system unambiguously dominates the other system in terms of efficiency for all possibile values of the underlying parameters. Since comprehensive systems generate more equal labour market outcomes, it follows that the relationship between efficiency and equity in secondary education is not necessarily a trade off.     

Fiscal federalism and lobbying

Which government functions should be decentralized (resp. centralized) once lobbying behavior is taken into account? We find that the answer largely depends on how the interests of the regional lobbies are positioned with respect to the function to be decentralized (resp. centralized). When regional lobbies have conflicting interests, then lobbying is less damaging for social welfare under centralization than under decentralization. On the contrary, when regional lobbies have aligned interests, then lobbying is less damaging for social welfare under decentralization, provided that policy spillovers on the non-organized groups are not too strong.     

Should governments fund basic science? Evidence from a willingness-to-pay experiment in five universities

ABSTRACT

Tax-payers are usually the ultimate funders of large-scale research infrastructures (RIs), but the expected discoveries of such projects often do not have any known use-value. By interviewing 1,022 undergraduates, we study the drivers of preferences for paying for basic research, which are still little known. We focus on the LHC at CERN, where the Higgs boson was discovered. Income, awareness, and positive attitudes towards science drive a positive willingness-to-pay for science. Students in social sciences and the humanities are willing to contribute to scientific curricula at least as much as their peers. Findings offer support to government funding of basic research as a public good.     

Supporting high-tech start-ups: Lessons from Italian technology policy

Public intervention is often advocated in high-tech sectors in order to solve market imperfections that limit the activity of new technology-based firms (NTBFs). Whilst some European countries have adopted national government support policies which explicitly target this type of firm; in Italy, as in other EU countries, there are no public support measures specifically designed for NTBFs. So, a question arises: to what extent are the NTBFs of these countries able to get funds from public administration? The paper focuses on the Italian case, and after a review of the available national public subsidies, through empirical and econometric analyses, it investigates whether horizontal general-purpose direct support mechanisms at national level permit an efficient allocation of public funds. The results highlight the need for more specific and customised policy measures towards NTBFs.     

Cost efficiency of Slovenian water distribution utilities: an application of stochastic frontier methods

This study estimates cost inefficiency and economies of scale of Slovenian water distribution utilities over the 1997–2003 period by employing several different stochastic frontier methods. The results indicate that significant cost inefficiencies are present in the utilities. An introduction of incentive-based price regulation scheme might help resolve this problem. However, the inefficiency scores obtained from different cost frontier models are not found to be robust. The levels of inefficiency estimates as well as the rankings depend on the econometric specification of the model. The established lack of robustness can be at least partly explained by different ability of the models to separate unobserved heterogeneity from inefficiency. Newly proposed true fixed effects model (Greene, J Econom 126:269–303, 2005; J Prod Anal 23(1):7–32, 2005) appears to perform better than the conventional panel data models with respect to distinguishing between unobserved heterogeneity and inefficiency. On the other hand, different models produce fairly robust results with respect to estimates of economies of output density, customer density and economies of scale. The optimal size of a company is found to closely corresponds to the sample median. Economies of scale are found in small-sized utilities, while large companies exhibit diseconomies of scale.

Persistent and transient productive inefficiency: a maximum simulated likelihood approach

The productive efficiency of a firm can be seen as composed of two parts, one persistent and one transient. The received empirical literature on the measurement of productive efficiency has paid relatively little attention to the difference between these two components. Ahn and Sickles (Econ Rev 19(4):461–492, 2000) suggested some approaches that pointed in this direction. The possibility was also raised in Greene (Health Econ 13(10):959–980, 2004. doi:10.1002/hec.938), who expressed some pessimism over the possibility of distinguishing the two empirically. Recently, Colombi (A skew normal stochastic frontier model for panel data, 2010) and Kumbhakar and Tsionas (J Appl Econ 29(1):110–132, 2012), in a milestone extension of the stochastic frontier methodology have proposed a tractable model based on panel data that promises to provide separate estimates of the two components of efficiency. The approach developed in the original presentation proved very cumbersome actually to implement in practice. Colombi (2010) notes that FIML estimation of the model is ‘complex and time consuming.’ In the sequence of papers, Colombi (2010), Colombi et al. (A stochastic frontier model with short-run and long-run inefficiency random effects, 2011, J Prod Anal, 2014), Kumbhakar et al. (J Prod Anal 41(2):321–337, 2012) and Kumbhakar and Tsionas (2012) have suggested other strategies, including a four step least squares method. The main point of this paper is that full maximum likelihood estimation of the model is neither complex nor time consuming. The extreme complexity of the log likelihood noted in Colombi (2010), Colombi et al. (2011, 2014) is reduced by using simulation and exploiting the Butler and Moffitt (Econometrica 50:761–764, 1982) formulation. In this paper, we develop a practical full information maximum simulated likelihood estimator for the model. The approach is very effective and strikingly simple to apply, and uses all of the sample distributional information to obtain the estimates. We also implement the panel data counterpart of the Jondrow et al. (J Econ 19(2–3):233–238, 1982) estimator for technical or cost inefficiency. The technique is applied in a study of the cost efficiency of Swiss railways.