Benefiting from negative feedback

This article discusses why it is so hard for people to benefit from negative feedback. We examine factors involved in the effective use of negative feedback. Our analysis suggests that the main obstacles to the effective use of negative feedback stem from the failure to obtain it and the failure to conduct an accurate appraisal of it. This is in contrast to research indicating that the main obstacle to the effective use of positive feedback lies more in avoiding its detrimental consequences after repeated exposure to it than in obtaining it or appraising it.     

中低层灵活就业群体就业意愿与就业环境的整合研究——以对3120名中低层灵活就业人员的调查为例

灵活就业是我国需要大力发展的一种就业形式,它对于缓解就业压力具有重要的作用,对于中低层就业群体来说更有着重要的意义.目前灵活就业在数量上得到了一定的发展,但是否能得到内在的可持续性发展还是一个值得关注的问题.本文从中低层灵活就业群体就业意愿和就业环境主客观两方面进行评述,并从两者的整合来探讨灵活就业如何得以持续的发展.     

Model Selection for Monetary Policy Analysis: How Important is Empirical Validity?*

We investigate the economic significance of trading off empirical validity of models against other desirable model properties. Our investigation is based on three alternative econometric systems of the supply side, in a model that can be used to discuss optimal monetary policy in Norway. Our results caution against compromising empirical validity when selecting a model for policy analysis. We also find large costs from basing policies on the robust model, or on a suite of models, even when it contains the valid model. This confirms an important role for econometric modelling and evaluation in model choice for policy analysis.     

DEA-R: ratio-based comparative efficiency model, its mathematical relation to DEA and its use in applications

We propose a new mathematical model for efficiency analysis, which combines DEA methodology with an old idea—Ratio Analysis. Our model, called DEA-R, treats all possible ratios “output/input” as outputs within the standard DEA model. Although DEA and DEA-R generate different summary measures for efficiency, the two measures are comparable. Our mathematical and empirical comparisons establish the validity of DEA-R model in its own right. The key advantage of DEA-R over DEA is that it allows effective integration of the model with experts’ opinions via flexible restrictive conditions on individual “output/input” pairs.     

Mis-measurement of inequality: a critical reflection and new insights

This article documents that the Gini index is an insufficient measure of inequality and, according to the traditional logic of interpretation, that it may lead to incorrect deductions. Since, apart from concentration, it cannot grasp other relevant features of inequality like heterogeneity and asymmetry—which, beyond its intensity, allow for considering the direction of inequality too—we suggest using the less known Zanardi index of asymmetry of the Lorenz curve as an appropriate measure of inequality. Our findings are supported with estimates from the Luxembourg Income Study Database.

     

Fractional Integration and the Dynamics of UK Unemployment*

This article is concerned with estimating the dynamic behaviour of UK unemployment using fractional integration methods. The question it considers is whether an unemployment model using a relatively small set of determinants of unemployment is consistent with the persistence which estimates an integrated model yield, or the much long‐lasting estimates obtained from fractional integration. Our empirical tests favour the latter version. The results show that when accounting for UK unemployment in terms of lagged values of the real oil price and the real interest rate, unemployment appears fractionally integrated. This finding means that although unemployment is mean reverting, once it is shocked it may take a very long time to recover, and our estimates of the response times are considerably in excess of those previously reported in the literature.     

Generalized Forecast Error Variance Decomposition for Linear and Nonlinear Multivariate Models

We propose a new generalized forecast error variance decomposition with the attractive property that the proportions of the impact accounted for by innovations in each variable sum to unity. Our decomposition is based on the generalized impulse response function, and it can easily be obtained by simulation. The new decomposition is illustrated in an empirical application to US output growth and interest rate spread data.     

Some results on analytic optimal control solution of a simple rational expectations model

In this note, we correct a technical error in a well-known stabilization analysis in the context of a simple macroeconomic model, formulated as an optimal control problem. This error originated in a slip in an unpublished but widely circulated paper by D.A. Livesey, suggesting a procedure for obtaining a solution to a class of optimal control problems frequently encountered in a stabilization literature. We then propose an ad hoc solution method which makes clear the intuition of the solution to the particular model to which the Livesey method was applied, and of the larger class of models to which it belongs. Our solution is so formulated that the contrast between it and the Livesey result is made transparent.     

Growth intentions among research scientists: A cognitive style perspective

Although academic entrepreneurship has taken place in some U.S. universities for many decades, it is only over the past few decades that there has been an increased interest by universities worldwide to engage in their third mission related to entrepreneurship and economic development. Recently, researchers studying academic entrepreneurship have increasingly focused on understanding research scientists׳ entrepreneurial intentions. It has however also been acknowledged that, next to understanding entrepreneurial intentions, it is important to generate insights into growth intentions. This is because growth is unlikely to be achieved if no growth intention exists. Taking a cognition and self-efficacy perspective, our study explores how cognitive styles are associated with growth intentions within a group of research scientists having entrepreneurial intentions. Our study indicates that a planning cognitive style promotes while a knowing cognitive style curbs growth intentions. Further, working experience mitigates the negative impact of a knowing style on growth intentions. Our research has practical implications and implications for technology management, academic entrepreneurship and entrepreneurial intentions literatures.     

International entrepreneurship: a bibliometric overview

The aim of this paper is to provide an overview of the academic research on International Entrepreneurship (IE). To accomplish this, an exhaustive bibliometric analysis was carried out, involving a bibliometric performance analysis and a graphic mapping of the references in this field. Our analysis focuses on journals, papers, authors, institutions and countries. To perform the performance analysis, the work uses a series of bibliometric indicators such as h-index, productivity and citations. Furthermore, the VOS viewer to graphically map the bibliographic material is used. The graphical analysis uses co-citation, bibliographic coupling and co-occurrence of keywords. The results of both analyzes are consistent among them, and show that the USA is the most influential country in IE research as it houses the main authors and institutions in this research field. Moreover, is observed and expected the continued growth of the field globally. Our research plays an informative and complementary role as it presents most of the key aspects in International Entrepreneurship research.

     

MSE dominance of least squares with errors-of-observation

On a criterion of minimum asymptotic coefficient bias, it has been shown recently [McCallum (1972), Wickens (1972)] that faced with a choice of using or discarding a (perhaps poor) proxy for an otherwise relevant independent variable which appears in a multiple regression model, one should always use the proxy. In this paper the analysis is expanded to consider variance in addition to bias in the criterion function. Our major finding is that although inclusion of the proxy is not a superior strategy unequivocally, it is recommended over a broad range of empirical situations.     

HRM‐based reforms in public organisations: problems and perspectives

Many attempts at modernisation have been launched in public organisations during the last decade, focused on a renewal of HR policies and devices. Via an in‐depth exploration of three case studies in Belgium, this paper develops an analytical framework likely to explain their contrasting performances. Our main hypothesis is that a lack of coherence (a) within the content itself of HRM‐based reforms, (b) between this content and the context in which it is introduced, or (c) the process by which it is implemented, could explain a large part of the problems encountered. The paper also suggests some key recommendations for the management of HRM‐based reforms in the public sphere.     

Correlates of student performance in Business and Economics Statistics

Over the years many studies have been done to investigate the determinants of student performance in courses of particular fields of study. However, this is not true of Introduction to Business and Economics Statistics. Our objective is to identify the correlates of student performance both overall, and on individual exams, in an Introduction to Business and Economics Statistics course. A wide variety of variables are found to significantly influence the performance of students, including their grades on previous exams and examination design. Our results indicate that it is important to isolate performance on individual exams.     

试论煤矿企业精细化管理

我国是能源大国,在经济发展的过程中,煤矿资源一直在我国的基础能源中处于重要的地位。在煤矿企业自身的发展与管理过程中,需要不断的提高自身管理水平,从而为我国发展提供有效的煤炭资源。现阶段,我国煤矿企业管理存在的一个重要特点,就是管理不够细化,整体管理效率较低。本文对于我国煤矿企业精细化管理的相关问题进行了分析与探讨。     

Purchasing process models: Inspiration for teaching purchasing and supply management

Most scholars of purchasing and supply management (PSM) are familiar with some form of a purchasing process model (PPM). A PPM is the visual representation of the sequence of activities that constitute purchasing and supply management. Such a visual representation can be a tool in teaching PSM since it gives students an overview of an otherwise intangible process. Moreover, a PPM can also be viewed as a representation of the identity of PSM, providing a schema of what is PSM (and what it is not). In this notes and debates article, a systematic overview of different types of PPMs, and their evolution, is presented, based on a literature review and a survey, with the models being classified as tactical/operational, strategic, cyclical, or decision-making processes. Our first aim is to inspire PSM scholars and educators when they are considering various PPMs to be used in their teaching of PSM. Our second aim is to debate the question where the evolution of PPMs is heading and explore whether a single holistic model can provide an accurate and representative framework to structure purchasing activities both today and in the future.     

The how and why of integrated reporting in a public health care organization: The stakeholders' perspective

Despite the widespread calls for in‐depth case studies on adoption of the International Integrated Reporting Council Framework, in practice, it appears to be underexplored, above all in the public sector. Our aim is to explore how and why a public health care organization (PHO) has chosen to adopt the practice of integrated reporting, and we then delve into whether the PHO's perception of the document's value coincides with that of the stakeholders, who are its recipients. Often, society's perception of value can differ considerably from an organization's. Thus, for our research purposes, a case study was examined, adopting a qualitative approach and action research methodology. Our findings demonstrate the centrality of the value created for patients and of the “normative” scenario that takes place during the implementation of an integrated report in a PHO. Moreover, the concept of legitimacy was found to be virtually synonymous with institutionalization.     

Sustainable growth, renewable resources and pollution

Our intention is to present a growth model with an environmental resource which has its own regeneration process. The stock of this resource serves as a source of utility and an input to production. We also intend to introduce a negative externality caused by a pollution flow which we assume to be proportional to production. In the context of this model, it is shown that, by using the utility level of the Green Golden Rule as a generalization of the Ramsey's bliss point for solving an optimal growth problems with a zero discount rate, an optimal path converges to the Green Golden Rule configuration.     

Socio-economic impacts of migrant clustering on Dutch neighbourhoods: In search of optimal migrant diversity

The recent empirical literature on the impact of migrant clustering on socio-economic welfare indicators shows inconclusive and often even contradictory results. In this paper we argue that there is not an unambiguous empirical outcome of migrant or ethnic diversity, but that it depends on the level of migrant or ethnic composition itself. A low degree of socio-economic and cultural diversity may be beneficial for neighbourhoods, whereas an excessive degree of diversity may be harmful. We test this hypothesis by (i) constructing a migrant clustering index for all neighbourhoods in the Netherlands based on a gamma index; and, subsequently, (ii) incorporating it in a regression framework to assess three relevant socio-economic outcomes: neighbourhood income, number of students, and average housing value. We show that there is apparently an optimal level of migrant clustering, and that it is remarkably robust. For the Netherlands as a whole and for the ten largest Dutch cities as well, it is striking that largely similar effects were found. Our results suggest that population composition in neighbourhoods may vary up to about 40 per cent from the national average before migrant clustering generates negative effects.     

Modified efficient importance sampling for partially non‐Gaussian state space models

The construction of an importance density for partially non‐Gaussian state space models is crucial when simulation methods are used for likelihood evaluation, signal extraction, and forecasting. The method of efficient importance sampling is successful in this respect, but we show that it can be implemented in a computationally more efficient manner using standard Kalman filter and smoothing methods. Efficient importance sampling is generally applicable for a wide range of models, but it is typically a custom‐built procedure. For the class of partially non‐Gaussian state space models, we present a general method for efficient importance sampling. Our novel method makes the efficient importance sampling methodology more accessible because it does not require the computation of a (possibly) complicated density kernel that needs to be tracked for each time period. The new method is illustrated for a stochastic volatility model with a Student's t distribution.     

Managing risk symptom: A method to identify major risks of serious problem projects in SI environment using cyclic causal model

Serious problem projects (SPPs) often occur, particularly in a system integration environment, and it is difficult to prevent them, since the relationships among phenomena that occur throughout the project life cycle are extremely complicated. Our goal is to make it easier to identify major risks by distinguishing phenomena that are sources of future SPPs from phenomena observed in actual field projects. By choosing several events whose causal relation is known to be cyclic, we constructed a causal model and clarified that it can contribute to the easier recognition of SPPs empirically, by analyzing actual SPP cases.