涉农专业课程体系及教学资源库建设研究

核心竞争力是关乎高职院校生存与发展的关键。本文主要就我省及我院涉农专业课程体系与教学资源库建设的特点,在服务地方经济建设上所起的作用,对专业核心竞争力形成产生的主要影响,进行了初步研究和探讨,并提出了加强核心竞争力的培育建议。     

高职思想道德修养与法律基础课教学有效性探讨——基于隐性教育视角

思想道德修养与法律基础课教学改革一直备受关注,提高思想道德修养与法律基础课教学的有效性成为当下探讨的重要课题,以隐性教育方法为指导,借助多种教育资源,增强思想道德修养与法律基础课教学的吸引力,从而提高课堂教学的有效性。     

关于在专业课程中实行双语教学的实践及思考

近年来,双语教学由部分地区的实行迅速地向全国播散,形成了一股双语教学热潮,但在实际操作过程中出现了许多的误区及操作失衡。分析上述问题的形成原因,并接合本团队在医学微生物学中开展双语教学的实践经验,就如何在专业课程中有效实施双语教学进行初步探讨,希望对专业课程的双语教学有所启发。     

When was the U.S. housing downturn predictable? A comparison of univariate forecasting methods

This paper uses three classes of univariate time series techniques (ARIMA type models, switching regression models, and state-space/structural time series models) to forecast, on an ex post basis, the downturn in U.S. housing prices starting around 2006. The performance of the techniques is compared within each class and across classes by out-of-sample forecasts for a number of different forecast points prior to and during the downturn. Most forecasting models are able to predict a downturn in future home prices by mid 2006. Some state-space models can predict an impending downturn as early as June 2005. State-space/structural time series models tend to produce the most accurate forecasts, although they are not necessarily the models with the best in-sample fit.     

The economic costs of biological predation

This paper developes a bioeconomic model to analyse the economic losses from the reduced harvesting of prey species resulting from an increase in the stock of a natural predator. Examples of large mammals creating economic damage are whales and African elephants. The economic losses depend critically on the actual management of the prey stock, although the three measures we develop are equal when the stock is managed so as to maximize the sustained economic rent from the prey species. Predation losses are illustrated by the case of the Northeastern Atlantic Minke whale, where the estimate of the average predation cost per whale in 1991–1992 is between $US 1780 and $US 2370, using Norwegian cost and earnings data. A ten percent stock increase is estimated to cause a loss of almost $US 19 million to the fishers of the prey species. If half of this cost were assigned to Norway it would be equivalent to 2.8 and 6.7 percent of the gross profits of the Norwegian cod and herring fisheries, respectively.     

An explanation for the price puzzle: Asymmetric information and expectation dynamics

Using theoretical and empirical analyses, this paper shows that the expectation dynamics induced by information asymmetry between the Central Bank (CB) and the public can cause the price puzzle. The signalling and learning dynamics between the CB and a representative private-sector agent under asymmetric information is investigated. Inflation positively reacts to contractionary monetary policy because the change in the interest rate is perceived as a signal of the CB’s private information about higher future inflation and output by the public. The empirical section of the paper validates this theoretical argument using a VAR specification about the US economy. Besides providing an explanation for the price puzzle, the results of this paper has practical implications about transparency and monetary policy. The theoretical and empirical findings indicate that asymmetric information causes significant frictions in the transmission mechanism of monetary policy. These frictions induce short-run undesired effects like increase in expected inflation and actual inflation as a response to contractionary monetary policy which is identified as “the price puzzle”.     

Climate Change and the Representative Agent

The artifice of an infinitely-lived representative agent iscommonly invoked to balance the present costs and future benefitsof climate stabilization policies. Since actual economies arepopulated by overlapping generations of finite-lived persons,this approach begs important questions of welfare aggregation.This paper compares the results of representative agent andoverlapping generations models that are numerically calibratedbased on standard assumptions regarding climate--economyinteractions. Under two social choice rules -- Pareto efficiencyand classical utilitarianism -- the models generate closelysimilar simulation results. In the absence of policies toredistribute income between present and future generations,efficient rates of carbon dioxide emissions abatement rise from15 to 20% between the years 2000 and 2105. Under classicalutilitarianism, in contrast, optimal control rates rise from 48 to 79% this same period.     

Is there a Laffer curve between aggregate output and public sector employment?

This paper develops a model of the relationship between public sector employment, total output and aggregate real demand in market prices, where public employment has a positive productivity effect on private output. Public employment crowds out private employment and output because its increase induces higher wages and taxes. The valuation of government output is also taken into account. While public employment affects total output and aggregate real demand in an a priori ambiguous way, numerical simulations suggest that the relationship may be nonlinear; positive, when public sector is “small” and negative, when it is “large”. Using the annual data from 22 OECD countries over the period 1960–1996 and estimating and testing for threshold models and more commonly used specifications with multiplicative interaction terms give support to this nonlinearity hypothesis between public employment and private sector output. First version received: October 1996/Final version received: April 2000     

Empirical Bayes analysis of log-linear models for a generalized finite stationary Markov chain

This article presents the empirical Bayes method for estimation of the transition probabilities of a generalized finite stationary Markov chain whose ith state is a multi-way contingency table. We use a log-linear model to describe the relationship between factors in each state. The prior knowledge about the main effects and interactions will be described by a conjugate prior. Following the Bayesian paradigm, the Bayes and empirical Bayes estimators relative to various loss functions are obtained. These procedures are illustrated by a real example. Finally, asymptotic normality of the empirical Bayes estimators are established.     

The association between two random elements: A complete characterization and odds ratio models

For random elements X and Y (e.g. vectors) a complete characterization of their association is given in terms of an odds ratio function. The main result establishes for any odds ratio function and any pre-specified marginals the unique existence of a corresponding joint distribution (the joint density is obtained as a limit of an iterative procedure of marginal fittings). Restricting only the odds ratio function but not the marginals leads to semi-parmetric association models for which statistical inference is available for samples drawn conditionally on either X or Y. Log-bilinear association models for random vectors X and Y are introduced which generalize standard (regression) models by removing restrictions on the marginals. In particular, the logistic regression model is recognized as a log-bilinear association model. And the joint distribution of X and Y is shown to be multivariate normal if and only if both marginals are normal and the association is log-bilinear.Acknowledgements The author thanks both referees for their helpful comments which improved the first draft of the paper.