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The concept of regression was introduced by Legendre in 1805 and advanced by Gauss in 1809. The term was popularized after Galton's 1886 article. Contribution of R. A. Fisher in the early 20th century was instrumental to the spread of the method to every scientific branch. Regression analysis, used in economics and many other fields, is now the most commonly used statistical method. Although few would characterize this technique as simple, regression is in fact both simple and elegant. The complexity that many attribute to regression analysis is often a reflection of their lack of familiarity with the language of mathematics. But regression analysis can be understood even without the mastery of sophisticated mathematical concepts. This book provides the foundation of regression analysis in a way that is easy to comprehend. All the examples are from economics and in almost all the examples real data are used to show the application of the method.

Economics --- Regression analysis. --- Statistical methods. --- analysis --- causality --- ceteris paribus --- coefficient of determination --- control variables --- error --- goodness of fit --- inference --- misspecification --- model --- proxy variables --- regression --- spurious regression --- Stata

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Using a consistent dataset and methodology for all eight member countries of the West African Economic and Monetary Union (WAEMU) from 1994 to 2009, this paper provides evidence of the two major channels for real effects of inflation: inflation uncertainty and relative price variability. In line with theory and most evidence for advanced and emerging market economies, higher inflation increases inflation uncertainty and relative price variability in all WAEMU countries. However, the pattern, magnitude and timing of these two channels vary considerably by country. The findings raise several policy issues for future research.

Inflation (Finance) --- Elasticity (Economics) --- Coefficient of elasticity --- Demand elasticity --- Elasticity, Coefficient of --- Elasticity of demand --- Price elasticity of demand --- Demand (Economic theory) --- Economics --- Finance --- Natural rate of unemployment --- Econometric models. --- Exports and Imports --- Inflation --- Macroeconomics --- Price Level --- Deflation --- Financial Aspects of Economic Integration --- Commodity Markets --- International economics --- Consumer price indexes --- Monetary unions --- Commodity price shocks --- Prices --- Price indexes --- Guinea

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This book creates a balance between the theory, practical applications, and computer implementation behind Regression--one of the most widely used techniques in analyzing and solving real world problems. The book begins with a thorough explanation of prerequisite knowledge with a discussion of Simple Regression Analysis including the computer applications. This is followed by Multiple Regression--a widely used tool to predict a response variable using two or more predictors. Since the analyses of regression models involve tedious and complex computations, complete computer analysis including the interpretation of multiple regression problems along with the model adequacy tests and residual analysis using widely used computer software are presented. The use of computers relieves the analyst of tedious, repetitive calculations, and allows one to focus on creating and interpreting successful models. Finally, the book extends the concepts to Regression and Modeling. Different models that provide a good fit to a set of data and provide a good prediction of the response variable are discussed. Among models discussed are the nonlinear, higher order, and interaction models, including models with qualitative variables. Computer analysis and interpretation of computer results are presented with real world applications. We also discuss all subset regression and stepwise regression with applications. Several flow charts are presented to illustrate the concepts. The statistical concepts for regression, computer instructions for the software-- Excel and MINITAB--used in the book and all of the data files used can be downloaded from the website link provided.

Regression analysis --- Data processing. --- coefficient of correlation --- correlation --- dependent variable --- dummy variable --- independent variable --- interaction model --- least squares estimates --- least squares prediction equation --- linear regression --- multiple coefficient of determination --- multiple regression and modeling --- nonlinear models --- regression line --- residual analysis --- scatterplot --- second-order model --- stepwise regression

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We examine the interest rate elasticity of housing prices, advancingthe empirical literature in two directions. First, we take a commonly used cross-country panel dataset and evaluate the housing price equation using a consistent estimator in the presence of endogenous explanatory variables and a lagged dependent variable. Second, we carry-out a novel analysis of determinants of residential housing prices in a cross-section of countries. Our results show that the short-term interest rate, and hence monetary policy, has a sizable impact on residential housing prices.

Interest rates --- Elasticity (Economics) --- Housing --- Econometric models. --- Prices --- Affordable housing --- Homes --- Houses --- Housing needs --- Residences --- Slum clearance --- Urban housing --- Coefficient of elasticity --- Demand elasticity --- Elasticity, Coefficient of --- Elasticity of demand --- Price elasticity of demand --- Social aspects --- City planning --- Dwellings --- Human settlements --- Demand (Economic theory) --- Economics --- Banks and Banking --- Infrastructure --- Real Estate --- Industries: Financial Services --- Housing Supply and Markets --- Economic Development: Urban, Rural, Regional, and Transportation Analysis --- Interest Rates: Determination, Term Structure, and Effects --- Real Estate Markets, Spatial Production Analysis, and Firm Location: General --- Banks --- Depository Institutions --- Micro Finance Institutions --- Mortgages --- Property & real estate --- Macroeconomics --- Finance --- Housing prices --- Short term interest rates --- Real estate prices --- Saving and investment --- United States

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This work examines the links between economic growth, changing employment conditions, and the reduction of poverty in Latin America in the 2000s.

Economic development --- Employment (Economic theory) --- Poverty --- Economics --- Latin America. --- Asociación Latinoamericana de Libre Comercio countries --- Neotropical region --- Neotropics --- New World tropics --- Spanish America --- economic growth --- employment conditions --- reduction of poverty --- latin america --- Financial crisis of 2007–08 --- Gini coefficient --- Gross domestic product --- Labour economics --- Social security --- Unemployment