The Effects of Market Liberalization on the Relative Earnings of Chinese Women

In this paper we first explore the effects of differences in labor market institutions and the degree of market liberalization on the size and composition of gender wages gaps in China's urban labor markets. We use enterprise-ownership type, enterprise age, and workers' methods of finding employment as proxies for the extent of market liberalization. We find both the size of the wage gaps and the proportion of the gap left unexplained by differences in productive characteristics largest in the most liberalized (joint venture) sector, and smallest in the least liberalized (state) sector. We next investigate the effects of differences in wage structure on the gender wage gaps. We find that differences in wage structure, in general, and the degree of wage dispersion, in particular, are extremely important in accounting for the larger wage gaps in the joint venture and collective sectors relative to the state-owned sector.http://deepblue.lib.umich.edu/bitstream/2027.42/39844/3/wp460.pd

An Interview With Albert W. Tucker

The mathematical career of Albert W. Tucker, Professor Emeritus at Princeton University, spans more than 50 years. Best known today for his work in mathematical programming and the theory of games (e.g., the Kuhn-Tucker theorem, Tucker tableaux, and the Prisoner\u27s Dilemma), he was also in his earlier years prominent in topology. Outstanding teacher, administrator and leader, he has been President of the MAA, Chairman of the Princeton Mathematics Department, and course instructor, thesis advisor or general mentor to scores of active mathematicians. He is also known for his views on mathematics education and the proper interplay between teaching and research. Tucker took an active interest in this interview, helping with both the planning and the editing. The interviewer, Professor Maurer, received his Ph.D. under Tucker in 1972 and teaches at Swarthmore College

Nickel electrode plate thickening study

The rate of thickening of the nickel electrode with cycling, under geochronous conditions, was investigated. The experimental procedures used to study the effects of various operational parameters on the rate of the thickness growth are outlined. The parameters included temperature, electrolyte composition, manufacturing lot, cycle parameters, and reconditioning methods

Transit times through the cycle phases of jejunal crypt cells of the mouse

Mean transit times as well as variances of the transit times through the individual phases of the cell cycle have been determined for the crypt epithelial cells of the jejunum of the mouse. To achieve this the fraction of labelled mitoses (FLM) technique has been modified by double labelling with [3H] and [14C]thymidine. Mice were given a first injection of [3H]thymidine, and 2 hr later a second injection of [14C]thymidine. This produces a narrow subpopulation of purely 3H-labelled cells at the beginning of G2-phase and a corresponding subpopulation of purely 14C-labelled cells at the beginning of the S-phase. When these two subpopulations progress through the cell cycle, one obtains FLM waves of purely 3H- and purely 14C-labelled mitoses. These waves have considerably better resolution than the conventional FLM-curves. From the temporal positions of the observed maxima the mean transit times of the cells through the individual phases of the cycle can be determined. Moreover one obtains from the width of the individual waves the variances of the transit times through the individual phases. It has been found, that the variances of the transit times through successive phases are additive. This indicates that the transit times of cells through successive phases are independently distributed. This statistical independence is an implicit assumption in most of the models applied to the analysis of FLM curves, however there had previously been no experimental support of this assumption. A further result is, that the variance of the transit time through any phase of the cycle is proportional to the mean transit time. This implies that the progress of the crypt epithelial cells is subject to an equal degree of randomness in the various phases of the cycle

Economic Reform and Changing Patterns of Labor Force Participation in Urban and Rural China

In this project, we employ data from the Chinese population censuses of 1982, 1990, and 2000 to examine reform-era changes in the patterns of male and female labor force participation and in the distribution of men’s and women’s occupational attainment. Very marked patterns of change in labor force participation emerge when we disaggregate the data by age cohort, marital status, sex, and rural/urban location. Women have decreased their labor force participation more than men, and urban women much more than rural women. Single young people in urban areas have decreased their labor force participation to stay in school to a much greater extent than single young people in rural areas. The urban elderly have decreased their rates of labor force participation while the rural elderly have increased theirs. We also find evidence of the feminization of agriculture.http://deepblue.lib.umich.edu/bitstream/2027.42/40173/3/wp787.pd

Proving the correctness of the flight director program EADIFD, volume 1

EADIFD is written in symbolic assembly language for execution on the C4000 airborne computer. It is a subprogram of an aircraft navigation and guidance program and is used to generate pitch and roll command signals for use in terminal airspace. The proof of EADIFD was carried out by an inductive assertion method consisting of two parts, a verification condition generator and a source language independent proof checker. With the specifications provided by NASA, EADIFD was proved correct. The termination of the program is guaranteed and the program contains no instructions that can modify it under any conditions

A Comparison of Reform-Era Labor Force Participation Rates of China’s Ethnic Minorities and Han Majority

Previous research suggests that minorities are not faring well in China’s transition—both income and occupational attainment gaps are widening. We are particularly interested in whether the differences in majority and minority economic outcomes are the result of ethnicity per se, or whether they are artifacts of local economic conditions. In this paper, we employ data from the three most recent population censuses of China to explore differences in the labor force participation rates of a number of China’s important ethnic groups. We estimate urban labor force participation rates using probit regressions controlling for sex, marital status, educational attainment, age, ethnicity, and location. We also account for the geographic concentration of particular ethnic minorities and compare the participation rates of different ethnic groups within geographic regions that represent the areas of principal residence for each minority. We concentrate on seven important minority groups: Hui, Koreans, Manchu, Mongolians, Uygurs, Yi and Zhuang. We find that location has limited explanatory power in explaining differences in the probability of labor force participation between these important Chinese ethnic minorities and the majority Han.http://deepblue.lib.umich.edu/bitstream/2027.42/40181/3/wp795.pd

Conic Multi-Task Classification

Traditionally, Multi-task Learning (MTL) models optimize the average of task-related objective functions, which is an intuitive approach and which we will be referring to as Average MTL. However, a more general framework, referred to as Conic MTL, can be formulated by considering conic combinations of the objective functions instead; in this framework, Average MTL arises as a special case, when all combination coefficients equal 1. Although the advantage of Conic MTL over Average MTL has been shown experimentally in previous works, no theoretical justification has been provided to date. In this paper, we derive a generalization bound for the Conic MTL method, and demonstrate that the tightest bound is not necessarily achieved, when all combination coefficients equal 1; hence, Average MTL may not always be the optimal choice, and it is important to consider Conic MTL. As a byproduct of the generalization bound, it also theoretically explains the good experimental results of previous relevant works. Finally, we propose a new Conic MTL model, whose conic combination coefficients minimize the generalization bound, instead of choosing them heuristically as has been done in previous methods. The rationale and advantage of our model is demonstrated and verified via a series of experiments by comparing with several other methods.Comment: Accepted by European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD)-201

Technical Note: The impact of spatial scale in bias correction of climate model output for hydrologic impact studies

Statistical downscaling is a commonly used technique for translating large-scale climate model output to a scale appropriate for assessing impacts. To ensure downscaled meteorology can be used in climate impact studies, downscaling must correct biases in the large-scale signal. A simple and generally effective method for accommodating systematic biases in large-scale model output is quantile mapping, which has been applied to many variables and shown to reduce biases on average, even in the presence of non-stationarity. Quantile-mapping bias correction has been applied at spatial scales ranging from hundreds of kilometers to individual points, such as weather station locations. Since water resources and other models used to simulate climate impacts are sensitive to biases in input meteorology, there is a motivation to apply bias correction at a scale fine enough that the downscaled data closely resemble historically observed data, though past work has identified undesirable consequences to applying quantile mapping at too fine a scale. This study explores the role of the spatial scale at which the quantile-mapping bias correction is applied, in the context of estimating high and low daily streamflows across the western United States. We vary the spatial scale at which quantile-mapping bias correction is performed from 2° ( ∼  200 km) to 1∕8° ( ∼  12 km) within a statistical downscaling procedure, and use the downscaled daily precipitation and temperature to drive a hydrology model. We find that little additional benefit is obtained, and some skill is degraded, when using quantile mapping at scales finer than approximately 0.5° ( ∼  50 km). This can provide guidance to those applying the quantile-mapping bias correction method for hydrologic impacts analysis