浅谈问卷调查中模糊性问题的处理方法

在社会经济中,存在着大量的模糊事件。传统的统计思想和方法对此往往无能为力,这就需要引入模糊数学的思想和方法。本文对问卷调查中模糊性产生的原因进行简要的概括,对其处理方法进行了初步的探讨。     

新疆南北疆沙产业发展差异性及对经济、环境影响研究

研究新疆沙产业区域发展差异性,分析沙产业发展与环境、经济的关系,对加深社会以及相关部门对沙产业的认识具有一定促进作用,也能够一定程度上促进沙产业本身的良性发展。文章选取环塔里木盆地-塔克拉玛干沙漠区域的和田地区与环准噶尔盆地-古尔班通古特沙漠区域的26个县市(兵团)作为主要研究对象,数据来源为实地调查、新疆统计年鉴及新疆各地2013年统计公报等,筛选出当地沙产业发展、经济发展及环境状况的10个具有代表性的指标;运用因子分析、聚类分析等多元统计方法,对调查区26个不同区域的沙产业发展进行了综合评价与分类比较;采用多元线性回归方法,分析了沙产业发展与环境、经济之间的相互关系。研究结果表明:在对经济影响方面,沙产业发展能够轻微改善环境,显著拉动经济;在沙产业发展格局方面,存在"北强南弱"、均衡性不足的问题;在分析沙产业前期发展现状方面,存在"挤出效应"、效益未充分体现的问题;在对比南北疆发展现状方面,存在北疆沙产业发展赶超南疆、后发优势明显的现象。并针对性提出具体的政策建议,即从应对区域发展均衡性不足方面,因地制宜,发展特色沙产业;从削弱"挤出效应"方面,加大科技创新投入,合理规划投资规模;从促进沙产业区域发展方面,扩大北疆后发优势,谋求南疆先发效应。通过该文的研究,能够一定程度消除社会对新疆沙产业发展的认识误区,同时对策建议是基于现实存在的问题而提出的,在解决相关问题上具有一定的现实意义。     

Roy Harrod and traditional theory

In 1926 and 1936 Sraff and Keynes attacked the methodological core of traditional economic theory by showing that the premises of partial equilibrium analysis were mutually inconsistent.

this paper aims to show that Harrod neglected Sraffa and Keynes's logical arguments, and only admitted that the tacit assumptions under discussion restricted the domain of validityof the theory to special cases: perfect competition and statics. He then proceeded to generalize the theory to imperfect competition and dynamics by applying the principles (but not the instruments) of traditional analysis. The definition of these domains thus aimede at rescuing as mush as possible from the orthodox approach.     

Interactions between real economic and financial sides of the US economy in a regime-switching environment

This objective of this study is to examine the linkages between real (economic) and financial variables in the United States in a regime-switching environment that accounts explicitly for high volatility in the stock market and high stress in financial markets. Since the linearity test shows that the linear model should be rejected, we employ the Markov-switching VECM to examine the same objective using the Bayesian Markov-chain Monte Carlo method. The regime-dependent impulse response function (RDIRF) highlights the increasing importance of the financial sector of the economy during stress periods. The responses and their fluctuations are significantly greater in the high-volatility regime than in the low-volatility regime.     

Societal preferences for fertility treatment in Australia: a stated preference discrete choice experiment

Objective: To investigate preferences for fertility treatment from the Australian general population with the aims of calculating the willingness to pay in tax contribution for attributes (characteristics) that make up treatment and for an “ideal” fertility treatment program. We also assessed whether willingness-to-pay varies by the relationship status or sexual orientation of the patient.

Methods: A stated preference discrete choice experiment was administered to a panel of 801 individuals representative of the Australian general population. Seven attributes of fertility treatment under three broad categories were included: outcome, process, and cost. Attributes were identified through published literature, focus group discussions, expert knowledge, and a pilot study. A Bayesian fractional experimental design was used, and data analysis was performed using a generalized multinomial logit model. Further analyses included interaction terms and latent class modeling.

Results: Six of the seven attributes influenced the choice of a treatment program. Under process attributes, individuals preferred: continuity of care of clinic staff, where patients are seen by the same doctor but different nurses at each visit; “alternative” treatments being offered to all patients; and onsite clinic counseling and peer-support groups. Personalization and tailoring of the treatment journey were not important. Among outcome attributes, the improved success rate of having a baby per cycle and significant side-effects were considered important. Cost of treatment also influenced the choice of treatment program. Individual preferences for fertility treatment were not associated with patients’ relationship status or sexual orientation. Latent class modeling revealed sub-groups with distinct fertility treatment preferences.

Conclusion: This study provides important insights into the attributes that influence the preferences of fertility treatment in Australia. It also estimates socially-inclusive willingness-to-pay values in tax contributions for an “ideal” package of treatment. The results can inform economic evaluations of fertility treatment programs.     

Measuring the cost of liquidity in agricultural futures markets: Conventional and Bayesian approaches

Estimating the cost of liquidity in agricultural futures markets is challenging because bid‐ask spreads are usually not observed. Based on an ability to reflect simulated data from Roll's spread model, we assess the effectiveness of conventional and Bayesian bid‐ask spread estimators under different market conditions. Conventional serial covariance and absolute price change spread estimators appear to be biased. Hasbrouck's Bayesian estimator generates small costs of liquidity whose values depend on the correlation and noise in the data. The absolute value Bayesian estimator is precise and works well under conditions of high levels of noise and correlation usually found in agricultural futures markets. Using data from live cattle (LC) and lean hog (LH) contracts, we find similar patterns of performance that produce economically meaningful cost of liquidity differences.     

企业培训策略选择的博弈分析

企业对员工进行培训,可以提高员工的生产率,从而为企业带来更丰厚的利润,然而却又面临着员工跳槽的风险.企业为了挽留经过培训的员工,给予其较高的薪资待遇,结果给企业带来巨大的成本,甚至仍然留不住关键人才.笔者运用信号博弈的方法分析企业在员工培训方面的决策问题,得出多种均衡结果.     

Bayesian forecasting of UEFA Champions League under alternative seeding regimes

The evaluation of seeding rules requires the use of probabilistic forecasting models both for individual matches and for the tournament. Prior papers have employed a match-level forecasting model and then used a Monte Carlo simulation of the tournament for estimating outcome probabilities, thus allowing an outcome uncertainty measure to be attached to each proposed seeding regime, for example. However, this approach does not take into account the uncertainty that may surround parameter estimates in the underlying match-level forecasting model. We propose a Bayesian approach for addressing this problem, and illustrate it by simulating the UEFA Champions League under alternative seeding regimes. We find that changes in 2015 tended to increase the uncertainty over progression to the knock-out stage, but made limited difference to which clubs would contest the final.     

大数据对法院司法统计的积极功效及边界

最高人民法院于2016年应用人民法院大数据管理和服务平台以后,全国法院司法统计完全实现计算机自动采集。从发展脉络来看法院司法统计正处于智能化转型阶段,仍然存在一些问题。随着大数据及新技术的引入,司法统计“大数据”得以成为现实,包括了数据采集的全面化、统计分析的综合化、统计平台的社会化,进而提出了大数据助力司法统计精准化的具体路径,包括了提高基础数据的量与质、加强对司法统计数据的深度分析和可视化分析、推进基础设施建设。然而,二者并不具有正相关性。因此,推进司法统计大数据化需要注意有两个限度。