Funds from this grant support a project by economist Bruce Meyer of the University of Chicago to create a rich new dataset for the measurement of U.S. household income. Partnering with the Census Bureau, Meyer plans to link and reconcile data from a host of important, but currently separate government surveys and data sources, including the Current Population Survey, the Consumer Expenditure Survey, and American Community Survey, the Survey of Income and Program Participation, tax return data from the IRS, and information from important government programs like SNAP and TANF. The resulting dataset, to be called the Comprehensive Income Dataset, would significantly expand the analytic power of these datasets taken separately and would also ease several well-known obstacles to the measurement of U.S. household income. Grant funds will support the initial construction of the dataset, which will then be made available for use by scholars through Federal Statistical Data Research Centers.