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Books > Business & Economics > Economics > Econometrics > Economic statistics
Patterns of Economic Change by State and Area: Income, Employment,
and Gross Domestic Product is a special edition of Business
Statistics of the United States. It presents data on personal
income, employment, and gross domestic product for the United
States as a whole, and by region, state, and metropolitan
statistical area (MSA). Data on personal income and employment
extends back to 1960 for the states and regions and to 1970 for the
MSAs. Patterns of Economic Change complements other Bernan Press
titles such as the State and Metropolitan Area Data Book and County
and City Extra. In contrast to their predominantly current and
detailed cross-section data on states and metropolitan areas, this
book contributes historical time-series measurements of key
aggregates that show how the economies of regions, states, and
metropolitan areas have responded over time to cyclical currents
and long-term trends. Statistics at the state level provide a
framework for analyzing current economic conditions in each state
and can serve as a basis for decision making. For example: Federal
government agencies use the statistics as a basis for allocating
funds and determining matching grants to states. The statistics are
also used in forecasting models to project energy and water use.
State governments use the statistics to project tax revenues and
the need for public services. Academic regional economists use the
statistics for applied research. Businesses, trade associations,
and labor organizations use the statistics for market research.
Info-metrics is a framework for modeling, reasoning, and drawing
inferences under conditions of noisy and insufficient information.
It is an interdisciplinary framework situated at the intersection
of information theory, statistical inference, and decision-making
under uncertainty. In Advances in Info-Metrics, Min Chen, J.
Michael Dunn, Amos Golan, and Aman Ullah bring together a group of
thirty experts to expand the study of info-metrics across the
sciences and demonstrate how to solve problems using this
interdisciplinary framework. Building on the theoretical
underpinnings of info-metrics, the volume sheds new light on
statistical inference, information, and general problem solving.
The book explores the basis of information-theoretic inference and
its mathematical and philosophical foundations. It emphasizes the
interrelationship between information and inference and includes
explanations of model building, theory creation, estimation,
prediction, and decision making. Each of the nineteen chapters
provides the necessary tools for using the info-metrics framework
to solve a problem. The collection covers recent developments in
the field, as well as many new cross-disciplinary case studies and
examples. Designed to be accessible for researchers, graduate
students, and practitioners across disciplines, this book provides
a clear, hands-on experience for readers interested in solving
problems when presented with incomplete and imperfect information.
Bernan Press proudly presents the 15th edition of Employment,
Hours, and Earnings: States and Areas, 2020. A special addition to
Bernan Press Handbook of U.S. Labor Statistics: Employment,
Earnings, Prices, Productivity, and Other Labor Data, this
reference is a consolidated wealth of employment information,
providing monthly and annual data on hours worked and earnings made
by industry, including figures and summary information spanning
several years. These data are presented for states and metropolitan
statistical areas. This edition features: Nearly 300 tables with
data on employment for each state, the District of Columbia, and
the nation's seventy-five largest metropolitan statistical areas
(MSAs) Detailed, non-seasonally adjusted, industry data organized
by month and year Hours and earnings data for each state, by
industry An introduction for each state and the District of
Columbia that denotes salient data and noteworthy trends, including
changes in population and the civilian labor force, industry
increases and declines, employment and unemployment statistics, and
a chart detailing employment percentages, by industry Ranking of
the seventy-five largest MSAs, including census population
estimates, unemployment rates, and the percent change in total
nonfarm employment, Concise technical notes that explain pertinent
facts about the data, including sources, definitions, and
significant changes; and provides references for further guidance A
comprehensive appendix that details the geographical components of
the seventy-five largest MSAs The employment, hours, and earnings
data in this publication provide a detailed and timely picture of
the fifty states, the District of Columbia, and the nation's
seventy-five largest MSAs. These data can be used to analyze key
factors affecting state and local economies and to compare national
cyclical trends to local-level economic activity. This reference is
an excellent source of information for analysts in both the public
and private sectors. Readers who are involved in public policy can
use these data to determine the health of the economy, to clearly
identify which sectors are growing and which are declining, and to
determine the need for federal assistance. State and local
jurisdictions can use the data to determine the need for services,
including training and unemployment assistance, and for planning
and budgetary purposes. In addition, the data can be used to
forecast tax revenue. In private industry, the data can be used by
business owners to compare their business to the economy as a
whole; and to identify suitable areas when making decisions about
plant locations, wholesale and retail trade outlets, and for
locating a particular sector base.
Ask not what AI can do for a company, rather what artificial
intelligence may do to a company. How does a company successfully
integrate artificial intelligence into its operations? What are the
problems in doing so? And how does the introduction of AI into
society change the answer to the first question? As companies delay
or even cancel initiatives in artificial intelligence, Four Laws
for the Artificially Intelligent redefines possibilities and offers
leverage to turn AI visions into reality. It is a story of
transformation: of people, of companies, and of artificial
intelligence itself. The Four Laws is unique in its combination of
stories and science illustrating how a technology competing with
human consciousness is introduced and assimilated within a company.
A work of creative nonfiction stretched on a frame of research, it
is an essential trail guide for navigating the Industry Version 4.0
jungle in a search of the fruits of innovation.
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