Can We Perceive Near Miss? An Empirical Study

Near misses are a special kind of reinforcement which increases one’s desire to play. The aim of this paper is to examine the perception of near misses in normal population. We used a slot machine simulation running on a PC, where participants had to play four rounds with different near miss ratios (0, 15, 30 and 45%). Our sample consisted of 159 individuals with mean age of 22.8 and with no or little gambling experience. For data analysis we used chi-squared goodness-of-fit test and exact binomial test. Despite the fact, that there was a notable effect of near misses results showed that the subjects could not perceive trials of them.     

Dennis R. Young et al.: Economics for Nonprofit Managers and Social Entrepreneurs

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations -     

Democracy and participation in the twenty-first century

ABSTRACT

Democracy is again under attack. Only a small minority, i.e. 19 out of 167 countries can be regarded as full democracies. This themed section with its six contributions is addressing the challenges from different angles: it starts with ‘Deliberative Democracy in the Real World. The contribution of the capability approach’ by Jean-Michel Bonvin, and is followed by György Széll’s ‘The Future of Cooperatives and Trade Unions: The Relevance for the Question of Democratization of Society’. ‘Public Participation and the Politics of Humiliation’ by Dasarath Chetty is the next one. Gloria Ostos conducts a case study of the application of the first international standard ISO 18091:2014 on Quality Management Systems in Local Government. Finally, Jo Morris-Ellis and Heinz Sünker address the issue of children politics, definitely the main issue for the future of democracy.     

Pareto improving transition from a pay-as-you-go to a fully funded pension system in a model of endogenous growth

In this paper we investigate the possibility of Pareto improving social security reforms within a framework of endogenous growth. Belan et al. (1998) propose a transition from a pay-as-you-go (PAYG) pension system to a system of savings–subsidization. We follow this approach and prove that a Pareto improving conversion from the PAYG system to a fully funded one is possible. Finally, we compare the subsidy system with the fully funded system and discuss the problem of implementing the transition to the fully funded system. Received: 07 March 1999/Accepted: 13 December 1999     

Two uniform machines with nearly equal speeds: unified approach to known sum and known optimum in semi on-line scheduling

We consider semi on-line scheduling on two uniform machines. The speed of the slow machine is normalized to 1 while the speed of the fast machine is assumed to be s≥1. Jobs of size J ₁,J ₂,… arrive one at a time, and each J _i (i≥1) has to be assigned to one of the machines before J _i+1 arrives. The assignment cannot be changed later. The processing time of the ith job is J _i on the slow machine and J _i /s on the fast one. The objective is to minimize the makespan. We study both the case where the only information known in advance is the total size ∑_i≥1 J _i of the jobs and the case where the only information known in advance is the optimum makespan. For each of these two cases, we almost completely determine the best possible competitive ratio of semi on-line algorithms compared to the off-line optimum, as a function of s in the range \(1\le s<\frac{1+\sqrt{17}}{4}\approx1.2808\), except for a very short subinterval around s=1.08. We also prove that the best competitive ratio achievable for known optimum is at least as good as the one for known sum, even for any number of uniform machines of any speeds.     

On multivariate nonlinear regression models with stationary correlated errors

In this paper we consider the statistical analysis of multivariate multiple nonlinear regression models with correlated errors, using Finite Fourier Transforms. Consistency and asymptotic normality of the weighted least squares estimates are established under various conditions on the regressor variables. These conditions involve different types of scalings, and the scaling factors are obtained explicitly for various types of nonlinear regression models including an interesting model which requires the estimation of unknown frequencies. The estimation of frequencies is a classical problem occurring in many areas like signal processing, environmental time series, astronomy and other areas of physical sciences. We illustrate our methodology using two real data sets taken from geophysics and environmental sciences. The data we consider from geophysics are polar motion (which is now widely known as “Chandlers Wobble”), where one has to estimate the drift parameters, the offset parameters and the two periodicities associated with elliptical motion. The data were first analyzed by Arato, Kolmogorov and Sinai who treat it as a bivariate time series satisfying a finite order time series model. They estimate the periodicities using the coefficients of the fitted models. Our analysis shows that the two dominant frequencies are 12 h and 410 days. The second example, we consider is the minimum/maximum monthly temperatures observed at the Antarctic Peninsula (Faraday/Vernadsky station). It is now widely believed that over the past 50 years there is a steady warming in this region, and if this is true, the warming has serious consequences on ecology, marine life, etc. as it can result in melting of ice shelves and glaciers. Our objective here is to estimate any existing temperature trend in the data, and we use the nonlinear regression methodology developed here to achieve that goal.     

Contributors to this issue

Contributors to this issue