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101.
SELECTION BIAS CORRECTIONS BASED ON THE MULTINOMIAL LOGIT MODEL: MONTE CARLO COMPARISONS 总被引:2,自引:0,他引:2
Abstract. This survey presents the set of methods available in the literature on selection bias correction, when selection is specified as a multinomial logit model. It contrasts the underlying assumptions made by the different methods and shows results from a set of Monte Carlo experiments. We find that, in many cases, the approach initiated by Dubin and MacFadden (1984) as well as the semi-parametric alternative recently proposed by Dahl (2002) are to be preferred to the most commonly used Lee (1983) method. We also find that a restriction imposed in the original Dubin and MacFadden paper can be waived to achieve more robust estimators. Monte Carlo experiments also show that selection bias correction based on the multinomial logit model can provide fairly good correction for the outcome equation, even when the IIA hypothesis is violated. 相似文献
102.
Korhonen Pekka Soismaa Margareta Siljamäki Aapo 《Journal of Productivity Analysis》2002,17(1-2):49-64
The purpose of this paper is to discuss the use of Value Efficiency Analysis (VEA) in efficiency evaluation when preference information is taken into account. Value efficiency analysis is an approach, which applies the ideas developed for Multiple Objective Linear Programming (MOLP) to Data Envelopment Analysis (DEA). Preference information is given through the desirable structure of input- and output-values. The same values can be used for all units under evaluation or the values can be specific for each unit. A decision-maker can specify the input- and output-values subjectively without any support or (s)he can use a multiple criteria support system to assist him/her to find those values on the efficient frontier. The underlying assumption is that the most preferred values maximize the decision-maker's implicitly known value function in a production possibility set or a subset. The purpose of value efficiency analysis is to estimate a need to increase outputs and/or decrease inputs for reaching the indifference contour of the value function at the optimum. In this paper, we briefly review the main ideas in value efficiency analysis and discuss practical aspects related to the use of value efficiency analysis. We also consider some extensions. 相似文献
103.
Applying efficiency measurement techniques to the measurement of productivity change 总被引:1,自引:3,他引:1
C. A. Knox Lovell 《Journal of Productivity Analysis》1996,7(2-3):329-340
Deterministic frontier analysis (DFA), stochastic frontier analysis (SFA), and data envelopment analysis (DEA) are alternative analytical techniques designed to measure the efficiency of producers. All three techniques were originally developed within a cross-sectional context, in which the objective is to compare the efficiencies of producers. More recently all three techniques have been extended for use in a panel data context. In the latter context it is possible to measure productivity change, and to decompose measured productivity change into its sources, one of which is efficiency change. However when efficiency measurement techniques, particularly SFA, have been applied to panel data, it has infrequently been made clear what the objective of the analysis is: the measurement of efficiency, which may vary through time as well as across producers, or the measurement and decomposition of productivity change. In this paper I explore the use of each technique in a panel data context. I find DFA and DEA to have achieved a more satisfactory reorientation toward productivity measurement than SFA has. 相似文献
104.
Robert?StewartEmail author Karen?Hill Jessa?Stewart David?Bimler John?Kirkland 《Quality and Quantity》2005,39(6):687-709
The underlying “architecture of the decision to pursue a degree in psychology was quantified using the Method of Sorting technique
to identifying the critical issues necessary to make this choice. Multidimentsional scaling procedures were employed to construct
a three-dimensional map representing the relationships between reasons for selecting psychology as a major. Freshman and senior
psychology majors (N = 165) from a regional university and a large research-based institution rated the relative importance of items in their
decision-making process. Hierarchical clustering procedures revealed seven different groups of students. Although significant
differences associated with class standing were not found, institutional affiliation did influence cluster composition. Reflecting
local emphases, students at the regional institution had a greater interest in Counseling Psychology, whereas those at the
research-based school focused on Clinical Psychology. This semantic map and the associated item clusters arising from psychology
student data provides an empirical basis for, amongst other things, course selection, faculty-initiated program design or
revision, strategic niche marketing, and student retention. 相似文献
105.
基于多元统计分析的封闭式基金业绩评价 总被引:2,自引:0,他引:2
本文引入在险价值(VaR)和基金折价率指标,利用因子分析和聚类分析方法对基金业绩进行综合评价。实证分析发现我国封闭式基金收益率优于市场收益率,少数几只基金业绩相对突出,实现低风险高收益的目标。但封闭式基金折价幅度较大,基金内部收益水平与外部评价状况背离,反映了市场投资者的投资非理性现象。 相似文献
106.
107.
从供应链角度出发,阐述了精细物流的内涵,构造了一种新的精细物流结构模式以实现精细供应链目标并总结了该模式的特征,最后又提出了精细物流的两种实施策略及关键步骤。 相似文献
108.
This paper develops a sequential decision-making model for assisting law enforcement officials in allocating resources during a crackdown operation on illicit drug markets. The sequential crackdown model (SCM) considers a probabilistic framework, where the probability of incarceration of a dealer and the probability of dealing are modeled as a function of the size of a drug market, crackdown enforcement level, drug dealer's financial hardship, and other market characteristics.The model was developed and tested in consultation with enforcement officials from Philadelphia, PA and Camden, NJ. We present a detailed, step-by-step implementation scheme for updating parameters on each day of the crackdown. Parameter estimation along with examples of model usage is provided. Through these examples, we illustrate how the SCM could be helpful in understanding the response of illicit drug markets to various enforcement strategies. We further show conditions under which an alternating crackdown policy (referred to as a crackdown-backoff) or a consistent use of maximum possible enforcement would be optimal strategies for managing a drug crackdown operation. Within the context of the model and parameter estimates, we show that a much quicker and less costly collapse could be implemented if the available enforcement resources are increased. Finally, the model provides possible conditions under which a crackdown operation would be unsuccessful in eliminating a drug market. 相似文献
109.
基于集对分析法的地区大中型工业企业自主创新能力评价 总被引:2,自引:0,他引:2
为了对地区大中型工业企业自主创新能力进行全面、科学的评价,基于集对分析法,提出了地区大中型工业企业自主创新能力评价指标体系及综合评价模型。通过对我国30个省市区大中型工业企业的实证分析,表明该方法科学简便,具有很好的实用价值。 相似文献
110.