The United States patents quarterly.

Subtitle varies.

Commercial Statistics. Water-Borne Commerce of the United States.

Title Varies: 1919-24, Commercial Statistics

James G. Watt nomination : hearings before the Committee on Energy and Natural Resources, United States Senate, Ninety-seventh Congress, first session, on the proposed nomination of James G. Watt to be secretary of the interior, January 7 and 8, 1981.

Item 1040-A, 1040-B (microfiche)

Measures of overlap of income distributions of white and Negro families in the United States /

"A United States Department of Commerce publication."

Directory of national and international labor unions in the United States.

Mode of access: Internet.

Directory of labor unions in the United States /

Mode of access: Internet.

Department of Defense authorization for appropriations for fiscal years 1990 and 1991 : hearings before the Committee on Armed Services, United States Senate, One Hundred First Congress, first session, on S. 1085 ...

Item 1034-A, 1034-B (MF).

To create a Division of Safety in the Department of Labor : hearings before the Committee on Education and Labor, United States Senate, Sixty-ninth Congress, first session on S. 3983, a bill to create in the Bureau of Labor Statistics of the Department of Labor a Division of Safety.

Hearings held May 21 and June 2, 1926.

Tornado damage and impacts on nuclear facilities in the United States

This report provides an overview of the tornado impact on the safe operation and shutdown of nuclear power plants in the United States. The motivation for this review stems from the damage and failure of the Fukushima nuclear power plant on March 11, 2011. That disaster warrants comparison of the safety measures in place within the global nuclear power industry.

Macroeconomic forecasting with mixed-frequency data: forecasting output growth in the United States

Many macroeconomic series, such as U.S. real output growth, are sampled quarterly, although potentially useful predictors are often observed at a higher frequency. We look at whether a mixed data-frequency sampling (MIDAS) approach can improve forecasts of output growth. The MIDAS specification used in the comparison uses a novel way of including an autoregressive term. We find that the use of monthly data on the current quarter leads to significant improvement in forecasting current and next quarter output growth, and that MIDAS is an effective way to exploit monthly data compared with alternative methods.