Location matters: Estimating cluster premiums for prominent modern artists

This paper shows that ‘location matters’ in terms of premiums on creative clusters and peak ages. The analysis is based on the 214 most prominent modern visual artists born 1850-1945 and the art clusters of Paris and New York. Auction records of the past 20 years are used to estimate the value of artworks over an artist's career. The overall cluster premium for paintings produced in Paris and New York is found to be 11% and 43%, respectively; paintings made in Paris during the First World War have a premium of 14% while those produced between 1946 and 1975 have a premium of 27%. New York offers premiums for paintings produced there for all periods after the First World War, peaking at 74% between 1946 and 1975. When decomposing this premium, we find that quality rather than quantity of artists in the location is driving the results. It is argued that artists working in a cluster location reach a peak in the age-price profile of their work significantly earlier than artists working elsewhere.     

Insurance,credit, and technology adoption: Field experimental evidencefrom Malawi

Does production risk suppress the demand for credit? We implemented a randomized field experiment to ask whether provision of insurance against a major source of production risk induces farmers to take out loans to adopt a new crop technology. The study sample was composed of roughly 800 maize and groundnut farmers in Malawi, where by far the dominant source of production risk is the level of rainfall. We randomly selected half of the farmers to be offered credit to purchase high-yielding hybrid maize and groundnut seeds for planting in the November 2006 crop season. The other half of farmers were offered a similar credit package, but were also required to purchase (at actuarially fair rates) a weather insurance policy that partially or fully forgave the loan in the event of poor rainfall. Surprisingly, take-up was lower by 13 percentage points among farmers offered insurance with the loan. Take-up was 33.0% for farmers who were offered the uninsured loan. There is suggestive evidence that reduced take-up of the insured loan was due to farmers already having implicit insurance from the limited liability clause in the loan contract: insured loan take-up was positively correlated with farmer education, income, and wealth, which may proxy for the individual's default costs. By contrast, take-up of the uninsured loan was uncorrelated with these farmer characteristics.     

The heterogeneity of beauty premium in China: Evidence from CFPS

Using a nationwide representative sample of the Chinese population, we examine the effect of physical appearance on the hourly wage. Our theoretical framework that connects physical appearance and the hourly wage has two predictions. First, the beauty premium is larger for high-skilled workers than for low-skilled workers. Second, this statistical-based discrimination arises from the hiring manager’s belief that beauty contributes to productivity through non-cognitive skills. Empirical results confirm both predictions. Good-looking individuals earn roughly 5.4% more than the rest, and bad-looking individuals earn roughly 3.3% less than the rest. Moreover, quantile estimates show that the effect of physical appearance at the 0.75 quantile is more than twice as the one at the 0.25 quantile. Finally, social skills, communication skills, and self-confidence are three transmission channels through which physical appearance can positively affect one’s hourly wage in our sample. Our findings imply that the beauty premium is widespread in the labor market and relevant anti-discrimination regulations are needed.     

基于J2EE的学校后勤管理系统关键技术研究

针对桂林电子科技大学现有后勤管理系统相对落后的问题,采用B/S架构,运用开源框架Struts-Spring-Hibernate构建基于J2EE的高校后勤管理系统。该系统将开源框架与Ajax技术相结合,可实现系统的异步提交,减轻网络通信和服务器端的负担;以后勤管理数据为研究对象,通过数据仓库、OLAP、数据挖掘技术的综合运用发现后勤管理系统中的有用信息,为管理高层提供辅助决策支持,具有较强的实用价值。     

How do very open economies adjust to large immigration flows? Evidence from Spanish regions

We study the labor market effects of the large immigration wave in Spain between 2001 and 2006. In this period the foreign-born share increased from 6% to 13%, with a total inflow exceeding three million immigrants. Our analysis exploits the large variation in the size of immigration flows across Spain's regions. To identify causal effects, we take advantage of the fact that immigrants' location choices were strongly driven by early migrant settlements that arrived during the 1980s. We find that the relatively unskilled migration inflows did not affect the wages or employment rates of unskilled workers in the receiving regions. The growth of the unskilled labor force was absorbed mostly through increases in total employment. This increase did not originate in changes in the composition of regional output, but was instead driven by changes in skill intensity at the industry level. Regions that received a large inflow of unskilled immigrants increased the intensity of use of the now more abundant (unskilled) labor, relative to other regions. The key industries responsible for this absorption were retail, construction, hotels and restaurants and domestic services. These results are inconsistent with standard open economy models but are in line with recent empirical studies for the United States and Germany.     

Job contact networks and the ethnic minorities

Using data from the UK Quarterly Labor Force Survey, this paper examines the job finding methods of different ethnic groups in the UK. Our empirical findings suggest that, though personal networks are a popular method of finding a job for the ethnic minorities, the foreign born and those who identify themselves as non-British, they are not necessarily the most effective either in terms of gaining employment or in terms of the level of job achieved. However, there are some important differences across ethnic groups with some groups losing out disproportionately from using personal networks.     

New evidence of salary discrimination in major league baseball

Salary discrimination in MLB has largely been discarded as a research topic. However traditional quantitative methods (particularly least squares regression) have concentrated on the effect of race for the average player. If only a particular salary class of players are subject to discrimination, or if the size of the discrimination is small at the average, then least-squares techniques will struggle to identify discrimination. I use quantile regression to uncover salary discrimination against black players in the lower half of the salary distribution. Not only are the premia for white and Hispanic players statistically significant, but they are large: up to 25% of salary for the bottom quintile of players.     

Escalation effects and the player draft in the AFL

This study investigates escalation effects in the Australian Football League (AFL). We use a sample of players selected in the AFL player draft (National Draft) between 1986 and 2002, and test for escalation effects by examining whether a player's draft order affects his subsequent utilisation by the club to which he was drafted. Utilisation is represented with measures of games played and tenure. Limited evidence of an escalation effect is found. Any relation between a player's draft order and his games played and tenure at the club to which he was drafted is concentrated in the early years of his career, and this apparent relation can be explained by the information about a player's ability that is contained in the player's draft order and by incentives for clubs to provide greater playing experience to higher ability players. Escalation effects in the AFL competition are therefore much weaker than have been found in studies of the US National Basketball Association (NBA). It is suggested that differences in the structure of the competitions may explain why the escalation effect in the AFL would be weaker than in the NBA.     

Optimal risk taking in an uneven tournament game with risk averse players

We analyze the optimal choice of risk in a two-stage tournament game between two players that have different concave utility functions. At the first stage, both players simultaneously choose risk. At the second stage, both observe overall risk and simultaneously decide on effort or investment. The results show that those two effects which mainly determine risk taking – an effort effect and a likelihood effect – are strictly interrelated. This finding sharply contrasts with existing results on risk taking in tournament games with symmetric equilibrium efforts where such linkage can never arise. Conditions are derived under which this linkage leads to a reversed likelihood effect so that the favorite (underdog) can increase his winning probability by increasing (decreasing) risk which is impossible in a completely symmetric setting.     

Partial identification of probability distributions with misclassified data

This paper addresses the problem of data errors in discrete variables. When data errors occur, the observed variable is a misclassified version of the variable of interest, whose distribution is not identified. Inferential problems caused by data errors have been conceptualized through convolution and mixture models. This paper introduces the direct misclassification approach. The approach is based on the observation that in the presence of classification errors, the relation between the distribution of the ‘true’ but unobservable variable and its misclassified representation is given by a linear system of simultaneous equations, in which the coefficient matrix is the matrix of misclassification probabilities. Formalizing the problem in these terms allows one to incorporate any prior information into the analysis through sets of restrictions on the matrix of misclassification probabilities. Such information can have strong identifying power. The direct misclassification approach fully exploits it to derive identification regions for any real functional of the distribution of interest. A method for estimating the identification regions and construct their confidence sets is given, and illustrated with an empirical analysis of the distribution of pension plan types using data from the Health and Retirement Study.