National and State Economic Impact of NETL

The Annals of Regional Science, 1970

This chapter documents the input-output (I-O) tables used in constructing the GTAP 8 Data Base. The GTAP Data Base consists mainly of I-O data, and the primary source for this data is a large collection of single-country I-O tables contributed to GTAP by researchers from around the world. This chapter summarizes this collection process. Detailed documentation for each country contribution is included in the unabridged version 1 of the GTAP 8 Data Base Documentation as sub-chapters of this chapter 2 . In this chapter we describe what's new in the contributed I-O tables in the GTAP 8 Data Base and outline the screening and preliminary adjustments we make to the contributed tables. We also briefly discuss the processing of these tables. Finally we provide some summary statistics of the contributed I-O data in this chapter and summary data is available on the GTAP website. 7.1 What's New in Version 8? Compared with the GTAP 7 Data Base, version 8 has more regional detail, but th...

Contributions to economics, 2008

The use of general descriptive names, registered names, trademarks, etc. in this publication does protective laws and regulations and therefore free for general use.

World Environmental and Water Resources Congress 2007, 2007

To improve the accuracy of quantile estimators, Bulletin 17B recommends a number of procedures to improve at-site estimators using regional information. Several procedures, including two recommended by the Bulletin, are considered here. Because the data available at a site is generally limited, the skewness estimator can be particularly unstable. When fitting the LP3 distribution, Bulletin 17B recommends combining the station skew with a regional skew using the inverse of their mean square errors as weights. Previous studies have demonstrated the impact of a more precise regional skewness estimator on quantile estimator precision. To improve quantile estimates computed using short records, the Bulletin also suggests combining the at-site quantile estimate with a regional quantile estimate using their effective record lengths as the weights. Potential problems with this weighted estimator are discussed here. Two examples compare the precision of the Bulletin 17B weighted quantile estimator to several alternative estimators which employ different combinations of at-site and regional information, including an index flood procedure which did poorly. The simple Bulletin 17B weighting of at-site and regional regression quantile estimates performs nearly as well as more complex alternatives, and for short records provides a substantial improvement in quantile accuracy. However, when the regional standard deviation and skew are very informative and the regional mean estimator is relatively imprecise, more accurate estimates can be obtained by weighting each of the three sample moments separately with regional estimators of those same statistics.

National Center For Education Statistics, 2006

The National Center for Education Statistics (NCES) is the primary federal entity for collecting, analyzing, and reporting data related to education in the United States and other nations. It fulfills a congressional mandate to collect, collate, analyze, and report full and complete statistics on the condition of education in the United States; conduct and publish reports and specialized analyses of the meaning and significance of such statistics; assist state and local education agencies in improving their statistical systems; and review and report on education activities in foreign countries. NCES activities are designed to address high-priority education data needs; provide consistent, reliable, complete, and accurate indicators of education status and trends; and report timely, useful, and high quality data to the U.S. Department of Education, the Congress, the states, other education policymakers, practitioners, data users, and the general public. We strive to make our products available in a variety of formats and in language that is appropriate to a variety of audiences. You, as our customer, are the best judge of our success in communicating information effectively.

1972

Handbook on the Economics of Sport, 2006