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Mathematical statistics --- Regression analysis. --- Analyse de régression --- Regression analysis --- #SBIB:303H520 --- 519.2 --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Probability. Mathematical statistics --- Methoden en technieken --- speciale methoden --- speciale methoden. --- 519.2 Probability. Mathematical statistics --- Regression Analysis --- Analyse de régression --- Speciale methoden.

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Mathematical statistics --- Regression analysis --- Analyse de régression --- Méthode statistique --- Statistical methods --- 303.724 --- #SBIB:303H523 --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Causale analyse. Variantieanalyse. Regressieanalyse --(sociaal onderzoek) --- Methoden sociale wetenschappen: associatie, correlatie --- Regression analysis. --- 303.724 Causale analyse. Variantieanalyse. Regressieanalyse --(sociaal onderzoek) --- Analyse de régression --- Analysse de regression --- Equation de regression --- Exemple

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The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit policy changes. In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak. In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jörn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science. An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications

Econometrics. --- Regression analysis. --- AA / International- internationaal --- 303.8 --- Econometrics --- Regression analysis --- 330.115 --- 330.015195 --- Analysis, Regression --- Linear regression --- Regression modeling --- 330.115 Econometrie --- Econometrie --- Econometrische behandeling van een onderwerp. --- Multivariate analysis --- Structural equation modeling --- Economics, Mathematical --- Statistics --- Quantitative methods (economics) --- Regression Analysis --- Econometrische behandeling van een onderwerp --- Économétrie --- Analyse de régression

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Mathematical analysis --- regressieanalyse --- Mathematical statistics --- Actuarial mathematics --- Regression analysis --- Analyse de régression --- Regression Analysis --- Regression Analysis. --- #WSCH:MODS --- #ECO:02.04:financiële sector geldmarkt kapitaalmarkt beleggingen beurs --- #ECO:01.15:economie statistiek evolutie previsie --- 519.233.5 --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Regression Diagnostics --- Statistical Regression --- Analyses, Regression --- Diagnostics, Regression --- Regression Analyses --- Regression, Statistical --- Regressions, Statistical --- Statistical Regressions --- Correlation analysis. Regression analysis --- Regression analysis. --- 519.233.5 Correlation analysis. Regression analysis --- Analyse de régression --- Statistique --- Statistique mathematique --- Regression

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Students in both the natural and social sciences often seek regression models to explain the frequency of events, such as visits to a doctor, auto accidents or job hiring. This analysis provides a comprehensive account of models and methods to interpret such data. The authors have conducted research in the field for nearly fifteen years and in this work combine theory and practice to make sophisticated methods of analysis accessible to practitioners working with widely different types of data and software. The treatment will be useful to researchers in areas such as applied statistics, econometrics, operations research, actuarial studies, demography, biostatistics, quantitatively-oriented sociology and political science. The book may be used as a reference work on count models or by students seeking an authoritative overview. The analysis is complemented by template programs available on the Internet through the authors' homepages.

Regression Analysis --- Econometrics --- Business, Economy and Management --- Economics --- Mathematical statistics --- Regression analysis. --- Econometrics. --- Analyse de régression --- Econométrie --- Economics, Mathematical --- Statistics --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Regression analysis --- 519.536 --- 303.5 --- AA / International- internationaal --- 330.115 --- 519.235 --- 330.115 Econometrie --- Econometrie --- 519.235 Statistics of dependent variables. Contingency tables --- Statistics of dependent variables. Contingency tables --- Theorie van correlatie en regressie. (OLS, adjusted LS, weighted LS, restricted LS, GLS, SLS, LIML, FIML, maximum likelihood). Parametric and non-parametric methods and theory (wiskundige statistiek) --- Wiskundige statistiek --- #SBIB:303H520 --- #SBIB:303H522 --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Methoden sociale wetenschappen: handboeken statistische analyse