The Job Openings and Labor Turnover Survey (JOLTS) is a new data source of the Bureau of Labor Statistics that estimates monthly vacancies, hires, and separations. It has quickly become a useful tool for studying the labor market. This chapter summarizes its aggregate and micro-level evidence, including the relations of vacancies and worker flows to unemployment and other measures of labor mark...

Since March 2002, the GRACE mission provides monthly global maps of geoid time-variations. These new data carry information on the continental water storage, including snow mass variations, with a ground resolution of ~600-700 km. We have computed monthly snow mass solutions from the inversion of the 22 GRACE geoids (04/2002-05/2004). The inverse approach developed here allows to separate the s...

Researchers have adopted online data such as search query volumes to forecast tourism demand for a destination, including tourist volumes and hotel occupancy. However, the massive yet highly correlated query data pose challenges when researchers attempt to include them in the forecasting model. We propose a framework and procedure for creating a composite search index adopted in a generalized d...

Surface energy balance components, including actual evapotranspiration (ET), were measured in a reducedtill maize-soybean field in south central Nebraska during three consecutive non-growing seasons (2006/2007, 2007/2008, and 2008/2009). The relative fractions of the energy balance components were compared across the non-growing seasons, and surface coefficients (Kc) were determined as a ratio ...

BACKGROUND Treatment with long-acting injectable (LAI) antipsychotic medication is an important element of relapse prevention in schizophrenia. Recently, the intramuscular once-monthly formulation of aripiprazole received marketing approval in Europe and the United States for schizophrenia. OBJECTIVE This study aimed to compare aripiprazole once-monthly with other LAI antipsychotics in terms ...

The minimal data necessary for projective reconstruction from point features is well-known when each object point is visible in all images. In this paper, we formulate and propose solutions to a new family of reconstruction problems for multiple images from minimal data, where there are missing points in some of the images. The ability to handle the minimal cases with missing data is of great t...

We propose the use of Google online search data for nowcasting and forecasting the number of food stamps recipients. We perform a large out-of-sample forecasting exercise with almost 3000 competing models with forecast horizons up to 2 years ahead, and we show that models including Google search data statistically outperform the competing models at all considered horizons. These results hold al...