Attitudes Towards Immigration: a Trade-Theoretic Approach

The paper uses a three-factor (capital, low- and high-skill labor), two-household (low- and high-skill individuals), two-sector trade model to analyze the determinants of voter attitudes towards immigration under direct democracy, and to identify factors that would be coherent with both the observed increase in the skilled–unskilled wage differential and the stiffening attitudes towards low-skill capital-poor immigration. If the import-competing sector is intensive in the use of low-skill labor, and capital is the middle factor, an improvement in the terms of trade or neutral technical progress in the exporting sector leads nationals to oppose immigration of capital-poor low-skill households. An increase in income inequality is also likely to stiffen attitudes towards this type of capital-poor, low-skill immigration prevalent in Europe until recently.     

Developing a cost-benefit analysis process for small-to-moderate expenditure decisions

During the Reagan administration, the federal government mandated the use of cost–benefit analysis (CBA) for regulatory decisions involving $100 million or more. While the use of CBAs has increased, less attention has been given to CBA processes involving smaller expenditures (regulatory and nonregulatory). As the federal budget tightens in the years ahead, the need to make hard decisions about these policies, programs, and technologies will increase. This paper describes a CBA process developed for the Office of Strategic Planning of the Social Security Administration; it was designed to handle small-to-moderate expenditure decisions (or for preliminary estimates of larger undertakings). A sample CBA using this process is provided, along with a discussion of the lessons that were learned from an initial application.     

Severance Payment Programs in Latin America

Latin America stands out among different regions in the world for her high employment termination costs. To this contribute both a high level of severance payments and the existence of overlapping benefits. The effectiveness of these protective measures, however, is limited by the size of the informal sector, which, in turn, may be related to employment protection levels. Another important limitation on the effectiveness of employment protection regulation is the often large transaction costs associated with making good of law provisions for the worker. Equilibrium severance pay levels may thus be well below what law mandates as evidence of low coverage rates and undesirable side effects is mounting, reform seems a critical policy issue. However, this reform cannot focus exclusively on severance pay, but it has to incorporate other overlapping benefits, such as UISAs, and advance notice. It also has to contend with a problematic political economy. Jaramillo is a Senior Researcher at the Group for Analysis of Development, GRADE. Saavedra is with the World Bank. Authors are grateful to Eduardo Nakasone for superb research assistance. They also wish to thank participants at the World Bank’s International Workshop on Severance Payments Reform (Laxenberg/Vienna, 2003) for valuable comments.     

Geometrical Interpretation of the Mean and the Constant in a Box-Jenkins Time Series Model

Certain manuals and computer programs mistakenly identify the mean with the constant in Box-Jenkins time series models. In this paper, it will be shown that (a) the mean and the constant have different values in autoregressive models, and (b) they have an algebraic and graphical relationship.     

Factors Influencing Organic and Fair Trade Coffee Growers Level of Engagement with Cooperatives: The Case of Coffee Farmers in Mexico

We study the factors influencing the percentage of organic and fair trade certified coffee sold through a cooperative by growers of five cooperatives in Mexico. The percentage of coffee sold through the cooperative was used as a proxy of growers’ engagement with a cooperative. Using factor analysis and a fractional probit regression, we evaluated the proposition that the level of engagement can be explained by transaction cost economics, social norms and connections, and farmer and farm business characteristics. We found that farm size, uncertainty regarding cooperative time of payment to the members and cooperative commitment on price to be paid negatively influence the level of engagement. In contrast, asset specificity, relational commitment, and price have a positive impact on engagement. Our results may help cooperatives and policy makers to build strategies aiming to increase this level of engagement. This is relevant because lower grower engagement has been found to be positively correlated with weak performing cooperatives.     

Expatriation: Traditional criticisms and international careers: Introducing the special issue

In this introduction to our special issue, we will first seek to discuss the extent to which recent expatriation research and literature is still subject to earlier criticisms. Second, we will discuss the future research needs concerning the theme of this special issue, international careers, briefly reviewing the dominating research theme within the international career context (i.e., the career impacts of international assignment) and suggesting some future research areas. After that, we will offer a particularly promising new avenue for future research: the new forms of international work. We will conclude by summarizing the articles for this special issue and illustrate how they fit within this new avenue. © 2010 Wiley Periodicals, Inc.     

Statistical inference,model selection and research experience: A multinomial model of data mining

The use of the same body of data to select a model and to estimate its parameters leads to an increase in the probability of committing a Type I error. Using a multinomial model of data mining, we show that as research experience increases, the probability of committing a Type I error decreases.     

Sending Farmers Back to School: The Impact of Farmer Field Schools in Indonesia

This paper evaluates the impact of farmer field schools, an intensive participatory training program emphasizing integrated pest management. The evaluation focuses on whether program participation has improved yields and reduced pesticide use among graduates and their neighbors who may have gained knowledge from graduates through informal communications. The study utilizes panel data covering 1991–99 in Indonesia. The analysis, employing a modified "difference-in-differences" model, indicates that the program did not have significant impacts on the performance of graduates and their neighbors. Several plausible explanations for this outcome are discussed, and recommendations for improvements are suggested.     

Real-time forecasting US GDP from small-scale factor models

We show that the single-index dynamic factor model developed by Aruoba and Diebold (Am Econ Rev, 100:20–24, 2010) to construct an index of the US business cycle conditions is also very useful to forecast US GDP growth in real time. In addition, we adapt the model to include survey data and financial indicators. We find that our extension is unequivocally the preferred alternative to compute backcasts. In nowcasting and forecasting, our model is able to forecast growth as well as AD and better than several baseline alternatives. Finally, we show that our extension could also be used to infer the US business cycles very precisely.