Labor productivity forecasts based on a Beveridge–Nelson filter: Is there statistical evidence for a slowdown?

In this paper, I assess the evidence for a structural break in labor productivity growth in the years before the Great Recession with the use of out-of-sample forecasting exercises for the years 2010 to 2019 and the recently developed Beveridge–Nelson filter. Models based on a Beveridge–Nelson filter with no structural breaks outperform those allowing for a structural break, and there is statistically significant evidence that they outperform the random walk, though all models were too optimistic about labor productivity growth. Recently developed statistical tests do point to the presence of a structural break before the Great Recession, but uncertainty about the data-generating process for labor productivity growth or the timing and magnitude of the break may be too great to be helpful in forecast preparation.     

Labor market analysis through transformations and robust multivariate models

The work presents a robust approach to labor share analysis. The estimate of labor share presents various complexities related to the nature of the data sets to be analyzed. Typically, labor share is evaluated by using discriminant analysis and linear or generalized linear models, that do not take into account the presence of possible outliers. Moreover, the variables to be considered are often characterized by a high dimensional structure. The proposed approach has the objective of improving the estimation of the model using robust multivariate regression techniques and data transformation.     

Labor income and risky investments: can part-time farmers compete?

In the developed countries, a majority of farm households receive at least as much income from nonfarm sources as from the farm. Such part-time farms have survived inspite of lower returns than full-time farms. This paper considers when lower returns to part-time farming could be compensated by risk-reduction due to diversification of income sources. The paper uses a dynamic portfolio choice model with labor income. The model and results could be applied in other contexts as well.     

仓库物资装卸最优性方案的选择

军队后方仓库是军用物资装备的储备基地，是军队物流系统的一个重要环节。如何利用现有条件，提高日常乃至战时仓库的收发、存储能力和工作效率，是提高军队后勤保障能力的一个重要课题。本文对仓库物资装卸中的几个主要技术经济指标进行探讨分析。     

关于乡镇企业产权制度改革的思考

本以乡镇企业产权构成现状及进一步发展受到的制约为出发点，对乡镇企业产权改革的必要性进行了详尽的剖析，对比分析了乡镇企业产权改革常用的几种手段，指出在当前情况下股份合作制改造是乡镇企业产权改革的最优策略之一。在此基础上给出乡镇企业产权制度改革的对策和建议。     

户籍歧视对劳动报酬差异的影响

在我国，户籍歧视是形成劳动力市场分割的重要原因，它不但通过阻碍劳动力流动造成城乡收入差异，也会促成农民工和城镇工人之间劳动报酬的差异。本文利用中国健康与营养调查（CHNS）多年的数据，对我国户籍歧视影响劳动报酬差异的程度进行计算和分析。结论表明，近几年户籍歧视现象并没有明显改观，政府在制定相应政策时，仍需关注这方面的问题。     

论集体合同制度在现代企业制度建设中的地位

建立现代企业制度，是在生产资料公有制的前提条件下，解决公有制的生产资料在生产过程中的实现形式问题，目的是使公有制与市场经济的效率统一起来。在产权制度改革过程中，在解决所有权与经营权的关系时，应注意劳动权的保护，建立所有权、经营权、劳动权相互依存、相互促进的体制。劳动集体合同制度的建设，具有重要意义。     

小城镇建设与农村剩余劳动力转移

文章从分析推进农村剩余劳动力转移与解决我国“三农”问题的关系入手,提出小城镇建设是农村剩余劳动力转移的必由之路,进而提出通过小城镇建设转移农村剩余劳动力的几点对策,即：以政府职能转变为切入点,大力营造和优化劳动力进镇就业与创业的软硬环境：以户籍制度改革为突破口,彻底打破和消除劳动力合理流动的体制与政策障碍;以改革和发展教育为抓手,全面培育和提高农村劳动力的文化与科技素质。     

我国人口劳动力参与率影响因素的实证分析(1978～2001年)

劳动力参与率的影响因素错综复杂。在中国,性别因素和工资水平对劳动力参与率水平的影响作用并不显著;经济增长和教育水平的提高与劳动力参与率水平正相关,而固定资产投资、城市化水平的提高和失业率的上升却是引起劳动力参与率水平不断下降的主要因素。