Money,random matching and endogenous growth: A quantitative analysis

In this study, we develop a search-and-matching monetary growth model to analyze the effects of inflation on economic growth and social welfare by introducing endogenous economic growth via capital externality into a two-sector search-and-matching model. We find that the channel through which inflation affects economic growth in the search-and-matching model is different from the traditional cash-in-advance model. To facilitate the calibration, we obtain an empirical estimate of the effects of inflation on economic growth using panel regressions. In the simulation analysis, we quantitatively evaluate the welfare effect of inflation in the search-and-matching endogenous growth model and compare it to a search-and-matching exogenous growth model. We find that the welfare effect of inflation is nonlinear in the endogenous growth model whereas it is linear in the exogenous growth model. Furthermore, we find that the welfare cost of inflation under endogenous growth is up to four times as large as the welfare cost of inflation under exogenous growth.     

森林资源资产组合随机控制模型及决策

在界定了森林生态资产与森林资源资产组合概念的基础上,构建和模拟了基于随机控制理论的森林资源资产组合模型,为森林经营管理者提出了相应的结论和建议:森林经营管理者可以根据最优采伐量与木材价格、补偿价格、成本系数、税率、贴现率、生长率等参数之间的关系,获得在市场经济变动条件下的最优森林资产组合,以保证森林资产净收益的稳定增长。     

Cross-sectional surveys: Inferring total eventual time in current state using only elapsed time-to-date

We focus on snapshot surveying of sub-populations whose members are in a temporary state and where one of the questions asked is the elapsed time already spent in that state. From these answers we develop probabilistic and statistical procedures to estimate the distribution of total time that will eventually be spent in that state by any random individual who enters the state. The method relies on a selection bias often found in temporal sampling, sometimes called “random incidence” or “longevity bias.” We develop results for several types of sampling, including random and fixed times of surveying, random and fixed times of entering the state, and sampling only those who have already spent some minimal specified time in the targeted state. An example with post-doc data is included to demonstrate the steps.     

Random regret minimization for consumer choice modeling: Assessment of empirical evidence

This paper introduces to the field of marketing a regret-based discrete choice model for the analysis of multi-attribute consumer choices from multinomial choice sets. This random regret minimization (RRM) model, which has recently been introduced in the field of transport, forms a regret-based counterpart of the canonical random utility maximization (RUM) paradigm. This paper assesses empirical results based on 43 comparisons reported in peer-reviewed journal articles and book chapters, with the aim of finding out to what extent, when, and how RRM can form a viable addition to the consumer choice modeler's toolkit. The paper shows that RRM and hybrid RRM–RUM models outperform RUM counterparts in a majority of cases, in terms of model fit and predictive ability. Although differences in performance are quite small, the two paradigms often result in markedly different managerial implications due to considerable differences in, for example, market share forecasts.     

How risky is a random process?

The riskiness of random processes is compared by (a) employing a decision theoretic equivalence between processes and lotteries on path-spaces to identify the riskiness of the former with that of the latter, and (b) using the theory of comparative riskiness of lotteries over vector spaces to compare the riskiness of lotteries on a given path-space. We derive the equivalence used in step (a) and contribute a new criterion to the theory applied in step (b). The validity of the new criterion, which applies second order stochastic dominance to utility distributions, is established by showing its equivalence to the benchmark decision theoretic criterion when comparing the riskiness of lotteries over any vector space. We demonstrate the theory’s tractability via diverse economic applications.     

NONPARAMETRIC AND SEMIPARAMETRIC PANEL DATA MODELS: RECENT DEVELOPMENTS

In this paper, we provide an intensive review of the recent developments for semiparametric and fully nonparametric panel data models that are linearly separable in the innovation and the individual-specific term. We analyze these developments under two alternative model specifications: fixed and random effects panel data models. More precisely, in the random effects setting, we focus our attention in the analysis of some efficiency issues that have to do with the so-called working independence condition. This assumption is introduced when estimating the asymptotic variance–covariance matrix of nonparametric estimators. In the fixed effects setting, to cope with the so-called incidental parameters problem, we consider two different estimation approaches: profiling techniques and differencing methods. Furthermore, we are also interested in the endogeneity problem and how instrumental variables are used in this context. In addition, for practitioners, we also show different ways of avoiding the so-called curse of dimensionality problem in pure nonparametric models. In this way, semiparametric and additive models appear as a solution when the number of explanatory variables is large.     

对构建全国碳交易体系的几点思考

面对气候变化的机遇与挑战,中国政府已采取了一系列积极的政策和切实的行动,其中包括将于2017年启动全国性碳交易体系。研究首先对碳交易体系的国外研究作了简要概述,然后梳理了以欧盟碳交易体系为首的10个国外碳交易体系和中国7个省市的碳交易试点的实践。研究最后对全国碳交易体系的建立提出了几点思考,强调了数据的科学监测和林业碳汇在中国碳交易体系中的重要作用。     

现代林业运营绩效评估研究——以新疆为例

论述新疆现代林业运营现状,建立现代林业运营绩效评估体系,应用ANP方法确定评估指标的局部优势度与全局优势度,构建现代林业运营绩效评估模型,科学测度2005~2014年新疆现代林业运营绩效,结果表明:新疆现代林业运营整体绩效呈现上升趋势,但整体水平薄弱;新疆干旱区营林生产、林产加工绩效弱化且波动显著,林业生态与服务、林业发展贡献绩效持续优化;森林病虫害防治低下、林业生态建设用水投入量减少、家具制造业优势不足、传统林业产业项目路径锁定等是制约新疆现代林业运营绩效的关键因素。为切实提升新疆现代林业运营绩效,提出建立森林病虫害生态防治机制、确保林业用水安全、提升家具等木材精深加工产业的技术增值能力、加快推进林产加工业结构调整、持续挖掘林业旅游与特色林果业的发展潜能等建议。     

森林采伐限额制度对林农经营行为的影响因素分析——基于浙江省农户调研数据的实证

通过农户问卷调查和关键信息人访谈等方法,了解浙江省景宁县木材采伐管理政策状况;运用计量经济方法分析影响农户木材采伐行为的主要因素。结果显示:受教育程度、办理采伐许可证的时间和费用、乡镇差异对木材采伐行为具有显著影响。因此,提出要加强农户营林培训力度、加大补贴力度、增加县级预留采伐限额指标等加快景宁县林业经济发展的建议。     

乡土正当性与法律正当性在林权纠纷中的博弈——基于桂南两县一区的实地调查

通过背景梳析,在对林权纠纷中地方政府、国有林场、农户的调查后发现乡土正当性和法律正当性在当地林权纠纷中存在冲突,通过分析得出当前的林权纠纷问题具有普遍性和复杂性的基本特征;从制度经济学的产权角度和农户增收角度来看,农户的土地产权应得到维护。