How does race operate among Asian Americans in the labor market? : Occupational segregation and different rewards by occupation among native-born Chinese American and Japanese American male workers

The effect of race in the U.S. labor market has long been controversial. One posits that racial effects have been diminished since the civil rights movement of the 1960s (Alba & Nee, 2003; Sakamoto, Wu, & Tzeng, 2000; Wilson, 1980). Even if some disparities in labor-market outcomes among race groups are found, advocates of this declining significance of race thesis do not attribute these disparities to racial discrimination. They, instead, understand the racial gaps as a result of class composition of racial minority groups, classes represented by larger proportions of the working-class population (Wilson, 1980, 1997) as well as unskilled-immigrant workers (Borjas, 1994)

Regional integration and the prices of imports : an empirical investigation

The authors explore the effects on the terms of trade of regional economic integration. They show why it is an appropriate measure of the welfare effects of such integration, comparing it with the many ex post studies that base their conclusions on changes in the import shares of member and nonmember countries. They demonstrate, by using a simple strategic model, how member countries might gain in their terms of trade, and nonmembers lose, through a lowering of preferential tariffs. Most important, they show that measuring such price effects, though difficult, is feasible. This is the first ex post study of its kind, they believe, and an improvement over previous ex post studies on how integration affects the rest of theworld. Using finely disaggregated data about Spanish imports of finished manufactures from major OECD trading partners, despite their noisiness, they found a consistent story over all of the country pairs examined. They find that nonmembers (in this case, Japan and the United States) suffered detectable losses in terms of trade relative to European Community competitors in Spanish import markets for differentiated goods.Trade Policy,Environmental Economics&Policies,Payment Systems&Infrastructure,Economic Theory&Research,Markets and Market Access,Access to Markets,Economic Theory&Research,Markets and Market Access,Environmental Economics&Policies,TF054105-DONOR FUNDED OPERATION ADMINISTRATION FEE INCOME AND EXPENSE ACCOUNT

How regional blocs affect excluded countries - the price effects of MERCOSUR

The welfare effects of preferential trading agreements, are most directly linked to changes in trade prices - that is, the terms of trade. The authors use a simple strategic pricing game in segmented markets, to measure the effects of MERCOSUR on the pricing of"non-member"exports to the regional trading bloc. Working with detailed data on unit values, and tariffs, they find that the creation of MERCOSUR is associated with significant declines in the prices of non-members'exports to the bloc. These can be explained largely by tariff preferences offered to a country's partners. Focusing on the Brazilian market (by far the largest in MERCOSUR), they show that non-members'export prices to Brazil respond to both most-favorable-nation, and preferential tariffs. Preferential tariffs induce reductions in non-memberexport prices.Environmental Economics&Policies,Economic Theory&Research,Markets and Market Access,Export Competitiveness,Payment Systems&Infrastructure,Environmental Economics&Policies,TF054105-DONOR FUNDED OPERATION ADMINISTRATION FEE INCOME AND EXPENSE ACCOUNT,Economic Theory&Research,Markets and Market Access,Access to Markets

Calibrating an ice sheet model using high-dimensional binary spatial data

Rapid retreat of ice in the Amundsen Sea sector of West Antarctica may cause drastic sea level rise, posing significant risks to populations in low-lying coastal regions. Calibration of computer models representing the behavior of the West Antarctic Ice Sheet is key for informative projections of future sea level rise. However, both the relevant observations and the model output are high-dimensional binary spatial data; existing computer model calibration methods are unable to handle such data. Here we present a novel calibration method for computer models whose output is in the form of binary spatial data. To mitigate the computational and inferential challenges posed by our approach, we apply a generalized principal component based dimension reduction method. To demonstrate the utility of our method, we calibrate the PSU3D-ICE model by comparing the output from a 499-member perturbed-parameter ensemble with observations from the Amundsen Sea sector of the ice sheet. Our methods help rigorously characterize the parameter uncertainty even in the presence of systematic data-model discrepancies and dependence in the errors. Our method also helps inform environmental risk analyses by contributing to improved projections of sea level rise from the ice sheets