Business Statistics of the United States is a comprehensive and practical collection of data from as early as 1913 that reflects the nation's economic performance. It provides over 80 years of annual, quarterly, and monthly data in industrial and demographic detail including key indicators such as: gross domestic product, personal income, spending, saving, employment, unemployment, the capital stock, and more. Business Statistics of the United States is the best place to find historical perspectives on the U.S. economy. Of equal importance to the data are the introductory highlights, extensive notes, and figures for each chapter that help users to understand the data, use them appropriately, and, if desired, seek additional information from the source agencies. Business Statistics of the United States provides a rich and deep picture of the American economy and contains approximately 3,500 time series in all. The data are predominately from federal government sources including: *Board of Governors of The Federal Reserve System *Bureau of Economic Analysis *Bureau of Labor Statistics *Census Bureau *Employment and Training Administration *Energy Information Administration *Federal Housing Finance Agency *U.S. Department of the Treasury

Dieses essential befasst sich mit der einfachen linearen Regression, der simpelsten Form von Regressionsmodellen, in der fur die Modellbildung nur eine einzige Einflussvariable berucksichtigt wird. Leser finden in diesem Buch die Methode der kleinsten Quadrate zur Schatzung der Modellparameter, Residualanalysen zur UEberprufung der Modellannahmen sowie weitere statistische Verfahren zur Beurteilung des Modells. Zudem erfahren sie, wie das Modell als ein Prognoseinstrument eingesetzt werden kann. Somit erwerben Leser eine solide Grundlage zum Verstandnis komplexer Regressionsansatze, bei denen mehrere Variablen die Zielgroesse beeinflussen und nichtlineare Zusammenhange vorliegen.

The 2014 Electricity Profiles publication provides an overall picture of the electricity sector of over 200 countries and areas on an internationally comparable basis, for the years 2009-2014. It displays detailed information on production, trade and consumption of electricity, on net installed capacity and thermal power plant inputs and efficiency relevant to each of these countries and areas. This is the third issue of Electricity Profiles as a stand-alone publication, replacing the previous series of Energy Balances and Electricity Profiles.

Most academic and policy commentary represents adverse selection as a severe problem in insurance, which should always be deprecated, avoided or minimised. This book gives a contrary view. It details the exaggeration of adverse selection in insurers' rhetoric and insurance economics, and presents evidence that in many insurance markets, adverse selection is weaker than most commentators suggest. A novel arithmetical argument shows that from a public policy perspective, 'weak' adverse selection can be a good thing. This is because a degree of adverse selection is needed to maximise 'loss coverage', the expected fraction of the population's losses which is compensated by insurance. This book will be valuable for those interested in public policy arguments about insurance and discrimination: academics (in economics, law and social policy), policymakers, actuaries, underwriters, disability activists, geneticists and other medical professionals.

The 2014 Energy Balances publication presents energy data for over 200 countries and areas in a format which shows the overall picture of the yearly production, trade, transformation and consumption of energy products utilized in each country or area shown, for the years 2013 and 2014. Such a format, presented in a common energy unit, the Terajoule, is useful in assessing and analysing supply and consumption patterns across both products and countries in detail on an internationally comparable basis. It is the third issue of Energy Balances as a stand-alone publication, replacing the previous series of Energy Balances and Electricity Profiles. The standards brought about by the International Recommendations for Energy Statistics (IRES) have been incorporated.

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.

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.

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.

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.

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.

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).