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Books > Business & Economics > Economics > Econometrics > Economic statistics
One of the major functions of statistical analysis is to describe
the data in a way that is easy to comprehend and communicate. This
can be done both by presenting the data in graphical form and by
calculating various summary statistics, such as; the measures of
central tendency and the measures of variability. The graphical
techniques described in this book come under the broad category of
Data Visualization that enables the analyst to describe a data set
graphically that is more concise than the original data. The
techniques in this book will help you reveal the essential
characteristics of the data using graphs which are critical in
effective decision making.
In this next volume of Progress in Economics Research, chapters
discuss risk measurement methods in financial investments; the
expansion of intellectual property rights and foreign direct
investments; the role of process in policy-making in the maritime
sector with reference to corporate social responsibility and how
issues of flexibility, movement, change, and the increasing speed
of these events can be accommodated in a new governance framework
that takes account of the changed situation for nation-states;
enhanced cooperation and the progressive process of differentiated
integration in the European Union and its implications; personal
metaphors expressed using a sample of MBA students who are
preparing for their future careers as directors; mobilisers'
problematising economic inequality in Hong Kong.; and home purchase
decisions of the younger generation in Hong Kong.
This book mainly focuses on why data analytics fails in business.
It provides an objective analysis and root causes of the
phenomenon, instead of abstract criticism of utility of data
analytics. The author, then, explains in detail on how companies
can survive and win the global big data competition, based on
actual cases of companies. Having established the execution and
performance-oriented big data methodology based on over 10 years of
experience in the field as an authority in big data strategy, the
author identifies core principles of data analytics using case
analysis of failures and successes of actual companies. Moreover,
he endeavors to share with readers the principles regarding how
innovative global companies became successful through utilization
of big data. This book is a quintessential big data analytics, in
which the author's knowhow from direct and indirect experiences is
condensed. How do we survive at this big data war in which Facebook
in SNS, Amazon in e-commerce, Google in search, expand their
platforms to other areas based on their respective distinct
markets? The answer can be found in this book.
Nonparametric statistics provide a scientific methodology for cases
where customary statistics are not applicable. Nonparametric
statistics are used when the requirements for parametric analysis
fail, such as when data are not normally distributed or the sample
size is too small. The method provides an alternative for such
cases and is often nearly as powerful as parametric statistics.
Another advantage of nonparametric statistics is that it offers
analytical methods that are not available otherwise. Nonparametric
methods are intuitive and simple to comprehend, which helps
researchers in the social sciences understand the methods in spite
of lacking mathematical rigor needed in analytical methods
customarily used in science. This book is a methodology book and
bypasses theoretical proofs while providing comprehensive
explanations of the logic behind the methods and ample examples,
which are all solved using direct computations as well as by using
Stata. It is arranged into two integrated volumes. Although each
volume, and for that matter each chapter, can be used separately,
it is advisable to read as much of both volumes as possible;
because familiarity with what is applicable for different problems
will enhance capabilities.
Nonparametric statistics provide a scientific methodology for cases
where customary statistics are not applicable. Nonparametric
statistics are used when the requirements for parametric analysis
fail, such as when data are not normally distributed or the sample
size is too small. The method provides an alternative for such
cases and is often nearly as powerful as parametric statistics.
Another advantage of nonparametric statistics is that it offers
analytical methods that are not available otherwise. Nonparametric
methods are intuitive and simple to comprehend, which helps
researchers in the social sciences understand the methods in spite
of lacking mathematical rigor needed in analytical methods
customarily used in science. This book is a methodology book and
bypasses theoretical proofs while providing comprehensive
explanations of the logic behind the methods and ample examples,
which are all solved using direct computations as well as by using
Stata. It is arranged into two integrated volumes. Although each
volume, and for that matter each chapter, can be used separately,
it is advisable to read as much of both volumes as possible;
because familiarity with what is applicable for different problems
will enhance capabilities.
Modern economies are full of uncertainties and risk. Economics
studies resource allocations in an uncertain market environment. As
a generally applicable quantitative analytic tool for uncertain
events, probability and statistics have been playing an important
role in economic research. Econometrics is statistical analysis of
economic and financial data. In the past four decades or so,
economics has witnessed a so-called 'empirical revolution' in its
research paradigm, and as the main methodology in empirical studies
in economics, econometrics has been playing an important role. It
has become an indispensable part of training in modern economics,
business and management.This book develops a coherent set of
econometric theory, methods and tools for economic models. It is
written as a textbook for graduate students in economics, business,
management, statistics, applied mathematics, and related fields. It
can also be used as a reference book on econometric theory by
scholars who may be interested in both theoretical and applied
econometrics.
Agricultural Statistics is published each year to meet the diverse
need for a reliable reference book on agricultural production,
supplies, consumption, facilities, costs, and returns. Its tables
of annual data cover a wide variety of facts in forms suited to
most common use. Statistics presented in many of the tables
represent actual counts of the items covered. Most of the
statistics relating to foreign trade and to Government programs,
such as numbers and amounts of loans made to farmers, and amounts
of loans made by the Commodity Credit Corporation, etc., are data
of this type. A large number of other tables, however, contain data
that are estimates made by the Department of Agriculture. The
estimates for crops, livestock, and poultry made by the U.S.
Department of Agriculture are prepared mainly to give timely
current State and national totals and averages. They are based on
data obtained by sample surveys of farmers and of people who do
business with farmers. The survey data are supplemented by
information from the Censuses of Agriculture taken every five years
and check data from various sources. Being estimates, they are
subject to revision as more data become available from commercial
or Government sources. Unless otherwise indicated, the totals for
the United States shown in the various tables on area, production,
numbers, price, value, supplies, and disposition are based on
official Department estimates. They exclude States for which no
official estimates are compiled. Extensive table data include
statistics of the following: *Statistics of Grain and Feed *Cotton,
Tobacco, Sugar Crops, and Honey *Oilseeds, Fats, and Oils
*Vegetables and Melons *Hay, Seeds, and Minor Field Crops *Cattle,
Hogs, and Sheep *Dairy and Poultry *Insurance, Credit &
Cooperatives *Agricultural Conservation & Forestry *Consumption
& Family Living *Fertilizers & Pesticides Miscellaneous
Agricultural Statistics such as Foreign Agricultural Trade
Statistics including exports, fisheries and more. Professionals in
the following fields to include farmers, ranchers, soil
conservationists, surveyors, agricultural economist consultants,
livestock manufacturers, livestock feedlot operators, food
distributors, animal scientists, food chemists, food brokers, farm
and land appraisers (and more) may have the greatest interest in
this volume.
Data mining has become the fastest growing topic of interest in
business programs in the past decade. This book is intended to
describe the benefits of data mining in business, the process and
typical business applications, the workings of basic data mining
models, and demonstrate each with widely available free software.
There are several powerful statistical analysis software, such as
Stata, SAS, and a host of other packages with different levels of
elegance, completeness, and support. Preferred is Stata because of
its extensive contributions from its users and reliable technical
support. I will add Stata commands to perform all the examples of
the book. The commands are simple and quick to run. I will provide
an appendix with the list of the commands used in the manuscript,
their syntax, and a brief description of the output they create.
Updated data for all the examples using the most recent available
data. Provide the solutions in Excel and Stata and explain the
meanings of the output to reinforce the subject and allow users to
have another set of examples using another real-life data.
Increased graphical representations to reinforce and clarify the
concept.
This publication is compiled to provide quality and timely
statistical data for the monitoring, evaluation, analysis,
research, and promotion of the intra-African trade. It is intended
to serve the needs of researchers, policy makers, and the public
who work on trade issues. This seventh edition of the Compendium
presents foreign trade data in sixteen chapters for all African
countries for the period 2004 to 2012. Information on total, share,
direction, and evolution of African trade is provided. Focusing on
intra-African trade, related statistical data of trade flows are
grouped by region, subregions, and Regional Economic Communities
(RECs) in Africa, a unique feature that has been found nowhere
else. It is hoped that the Compendium will provide the needed
support to ongoing efforts aimed at ensuring the integration of the
African continent.
Statistics is the branch of mathematics that deals with real life
problems. As such, it is an essential tool for economists.
Unfortunately, the way the concept is introduced to students is not
compatible with the way economists think and learn. The problem is
worsened by the use of mathematical jargon and complex derivations.
However, as this book demonstrates, neither is necessary. The book
is written in simple English with minimal use of symbols, mostly
for the sake of brevity and to make reading literature more
meaningful. The second edition also incorporates Stata software for
use by more technically oriented readers who have access to
sophisticated software. The objective of this book is to address
the fundamentals of statistical analysis in a simple and
easy-to-comprehend way. Instead of covering numerous topics, the
book covers interrelated subjects that are necessary for the
comprehension of the presented topics. The second edition has
augmented the explanations in the first to clarify the subjects
even more. The examples are based on economic theory utilizing
actual data. The hope is that the use of theory will prove useful
in relating the subject to actual empirical applications and help
with research.
This is the first volume in a two-part publication which offers a
comprehensive view of the topic. Volume I: Trade by Country,
compiled in May 2014, presents detailed data of 175 countries (or
areas) with data on imports and exports by commodity and trading
partner provided for approximateky 90 countries (or areas),
representing more than 70% of world trade in 2014. Volume II: Trade
by Commodity, expected to be released at the end of the year,
contains the detailed tables showing international trade for 258
commodities and eleven world trade tables covering trade values and
indices up to the year 2014.
The technique of regression analysis is used so often in business
and economics today that an understanding of its use is necessary
for almost everyone engaged in the field. This book covers
essential elements of building and understanding regression models
in a business/economic context in an intuitive manner. The book
provides a non-theoretical treatment that is accessible to readers
with even a limited statistical background. This book describes
exactly how regression models are developed and evaluated. The data
used in the book are the kind of data managers are faced with in
the real world. The book provides instructions and screen shots for
using Microsoft Excel to build business/economic regression models.
Upon completion, the reader will be able to interpret the output of
the regression models and evaluate the models for accuracy and
shortcomings.
This year's edition of International Debt Statistics, successor to
Global Development Finance and World Debt Tables, and the fourth in
the series, is designed to respond to user demand for timely,
comprehensive data on trends in external debt in low- and
middle-income countries. It also provides summary information on
the external debt of high-income countries and public (domestic and
external) debt for a select group of countries. The World Bank's
Debtor Reporting System (DRS), from which the aggregate and country
tables presented in this report are drawn, wasestablished in 1951.
World Debt Tables, the first publication that included DRS external
debt data, appeared in 1973 and gained increased attention during
the debt crisis of the 1980s. Since then, the publication and data
have undergone numerous revisions and iterations to address the
challenges and demands posed by the global economic conditions.
Presentation and access to data have been refined to improve the
user experience. The printed edition of International Debt
Statistics 2016 now provides a summary overview and a select set of
indicators, while an expanded dataset is available online
(datatopics.worldbank.org / debt/ids).
Bachelor Thesis from the year 2012 in the subject Economics -
Statistics and Methods, grade: none, - (University for Development
Studies, Tamale), language: English, abstract: The study is an
attempt to build a univariate Time Series Model to forecast monthly
petroleum prices for 2010/2011, from January 1990 to September
2010, since national petroleum agency (NPA) is failing to plan for
fluctuation of petroleum prices. The data was source from the
website of Bank of Ghana. The study employs Box-Jenkins methodology
of building Seasonal Autoregressive Integrated Moving Average
(SARIMA) model to achieve various objectives. Different selected
models were tested by Residual plots of Autocorrelation and Partial
Autocorrelation and Ljung Box Q statistic to ensure adequacy of
results. The results reveal that demand and supply, crudel oil
prices, gasoline, natural disasters and government regulations are
some of factors that can influence fuel prices and
ARIMA(1,1,5)x(1,0,1)11 is the best model for forecast. The future
values expose that during the months to come; petroleum prices are
going to experience an insignificant increase. In light of the
forecast, I know Ghana will ascertain a healthy state of economy.
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