Migration to the United States and Mexican rural development: a case study

An analysis of the impact of migration to the United States on the sending community and on the labor market in the receiving country is presented based on a case study of Las Animas, Mexico. "As the community becomes increasingly involved in migration, tendencies can be identified regarding changing migration patterns, class differentiation among villagers, impact of migration on village economy, and the changing role of Mexican workers in California labor markets. Results indicate the importance of social networks in determining the outcome of migration; while migration is individually rational, it is a factor of stagnation for village economy, and it helps reproduce segmented California labor markets."     

Does Foreign Direct Investment Crowd Out Domestic Entrepreneurship?

In analyzing firm entry and exit across Belgian manufacturing industries, this paper presents evidence that import competition and foreign direct investment discourage entry and stimulate exit of domestic entrepreneurs. These results are in line with theoretical occupational choice models that predict foreign direct investment would crowd out domestic entrepreneurs through their selections in product and labor markets. However, the empirical results also suggest that this crowding out effect may be moderated or even reversed in the long-run due to the long term positive effects of FDI on domestic entrepreneurship as a result of learning, demonstration, networking and linkage effects between foreign and domestic firms.     

企业多元化的新模式：基于核心能力的虚拟经营

本文研究了企业多元化经营的科学含义，创建了一个二元作用定性模型来论证企业发展到一定阶段多元化经营的必然性，研究了现代企业虚拟经营的背景，含义以及企业深化，培育核心能力与开展虚拟经营之间的本质联系，考察了多元化成功与失败的众多企业案例，当代多元化经营成功的企业大多是基于核心能力的战略相关多元化，而虚拟经营也是核心能力培育，深化的产物，借助于基于核心能力的虚拟经营以实现相关多元化发展，是企业多元化的一条新途径，相对于传统多元化而言，它更具竞争优势。     

The Global Determinants of Direct Office Real Estate Returns

We investigate the determinants of direct office real estate returns by analyzing rents, capital appraisals, and total returns. A recently compiled global database of major cities in Asia, Europe, and the United States provides a unique opportunity to give a macro-view on the effects of economic growth and supply and demand factors on nominal real estate returns. The global database provides quarterly observations from 1986 to 1999. To address the smoothness problem of appraisal-based price data and regulated rents, we employ the Generalized Method of Moments to estimate a dynamic panel-data model. The model allows us to combine the cross-sectional and time-series dimension in our quarterly data. We find that gross domestic product, inflation, unemployment, vacancy rate, and the available stock all have an effect on real estate returns.     

我国债券市场的改革与发展

改革开放以来,债券市场蓬勃发展,扩大了融资渠道,优化了融资结构,促进了国民经济的健康发展。但与成熟市场经济国家相比,国内债券市场仍处于初级阶段,尚未完全步入规范化、法制化轨道。因此,需进一步推进债券市场的改革,促进债券市场向深度发展。     

现代各种不同的维修管理

介绍当代各种不同的维修管理方法，以及在现代生产系统中造成维修管理复杂性的因素及其特征。对维修管理的方法及其框架这两个概念加以定义。详细说明维修活动的过程是由企业活动水平来划分，并提出一个结构，保证正确支持当前的管理人员，根据应用于维修的信息技术，现代维修工程的作用，以及根据维修方面公关能力的需求，对所需要的功能进行分类。     

The contingent value of marketing strategy innovativeness for product development performance in Chinese new technology ventures

This study extends research on entrepreneurial behavior by investigating the relationship between the marketing strategy innovativeness (MSI) and new product performance in technology-based new ventures in China. Specifically, premised on contingent resource-based view we argue that MSI is a firm capability that must be bundled with external managerial relationships and be deployed in the appropriate environment to ensure its success. We found that the team's extra industry relationships and market dynamism enhanced the impact of MSI on new product performance. In contrast, top management team's intraindustry relationships, financial relationships, and technology dynamism hindered the impact of MSI on new product performance.     

Who Receives Medicaid in Old Age? Rules and Reality

Medicaid is a government programme that also provides health insurance to the elderly who have few assets and either low income or catastrophic health care expenses. We ask how the Medicaid rules map into the reality of Medicaid recipiency, and we ask what other observable characteristics are important to determine who ends up on Medicaid. The data show that both singles and couples with high retirement income can end up on Medicaid at very advanced ages. We find that, conditioning on a large number of observable characteristics, including those that directly relate to Medicaid eligibility criteria, single women are more likely to end up on Medicaid – so are non‐white people, but, surprisingly, their higher recipiency is concentrated in the higher income percentiles. We also find that people with low incomes who have a high‐school diploma or higher degree are much less likely to end up receiving Medicaid than their less‐educated counterparts. All of these effects are large and depend on retirement income in a very non‐linear way.     

Mean–variance and mean–semivariance portfolio selection: a multivariate nonparametric approach

While univariate nonparametric estimation methods have been developed for estimating returns in mean-downside risk portfolio optimization, the problem of handling possible cross-correlations in a vector of asset returns has not been addressed in portfolio selection. We present a novel multivariate nonparametric portfolio optimization procedure using kernel-based estimators of the conditional mean and the conditional median. The method accounts for the covariance structure information from the full set of returns. We also provide two computational algorithms to implement the estimators. Via the analysis of 24 French stock market returns, we evaluate the in-sample and out-of-sample performance of both portfolio selection algorithms against optimal portfolios selected by classical and univariate nonparametric methods for three highly different time periods and different levels of expected return. By allowing for cross-correlations among returns, our results suggest that the proposed multivariate nonparametric method is a useful extension of standard univariate nonparametric portfolio selection approaches.