25,905 research outputs found
Presentation: Did the Housing Price Bubble Clobber Local Labor Market Job and Worker Flows When It Burst?
We integrate local labor market data on worker flows, job flows, employment levels, and earnings with MSA-level data on housing prices and local area unemployment, to study the local labor market dynamics associated with the U.S. housing price bubble of the late 2000s. We proceed to study the magnitude and timing of the relation between the changes in local housing prices and local worker and job flows, and local labor market earnings.In addition to the unique contribution of using both local labor and housing market data, the paper also considers the contributions of the aggregate movements in the worker and job flows to the heterogeneous local labor market outcomes
Testimony of John M. Abowd Before the House Committee on Energy and Commerce, Subcommitte on Commerce, Manufacturing and Trade, United States House of Representatives
We focus attention on gross flows in the labor market and their role in economic reallocation. Economists distinguish between movements of individuals (gross worker flows) and those associated with businesses (gross job flows). The gross worker flows are accessions (hiring and recalls) and separations (quits, layoffs, retirements, and firings). The gross job flows are creations (increases in the employment of a given business establishment) and destructions (decreases in employment of a given business establishments). In our testimony, we discuss the different flows and the regional variation therein over the last recession
Model-based estimation of off-highway road geometry using single-axis LADAR and inertial sensing
This paper applies some previously studied extended
Kalman filter techniques for planar road geometry estimation
to the domain of autonomous navigation of off-highway
vehicles. In this work, a clothoid model of the road geometry is
constructed and estimated recursively based on road features
extracted from single-axis LADAR range measurements. We
present a method for feature extraction of the road centerline
in the image plane, and describe its application to recursive
estimation of the road geometry. We analyze the performance of
our method against simulated motion of varied road geometries
and against closed-loop detection, tracking and following of
desert roads. Our method accomodates full 6 DOF motion of
the vehicle as it navigates, constructs consistent estimates of the
road geometry with respect to a fixed global reference frame,
and requires an estimate of the sensor pose for each range
measurement
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