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This highly accessible and innovative text with supporting web site uses Excel (R) to teach the core concepts of econometrics without advanced mathematics. It enables students to use Monte Carlo simulations in order to understand the data generating process and sampling distribution. Intelligent repetition of concrete examples effectively conveys the properties of the ordinary least squares (OLS) estimator and the nature of heteroskedasticity and autocorrelation. Coverage includes omitted variables, binary response models, basic time series, and simultaneous equations. The authors teach students how to construct their own real-world data sets drawn from the internet, which they can analyze with Excel (R) or with other econometric software. The accompanying web site with text support can be found at www.wabash.edu/econometrics.
Programming --- Quantitative methods (economics) --- Econometrics --- Monte Carlo method --- Microsoft Excel (Computer file) --- Data processing --- 330.115 --- dataverwerking --- econometrie --- regressie-analyse --- softwarepakketten --- spreadsheets --- -330.01518282 --- Artificial sampling --- Model sampling --- Monte Carlo simulation --- Monte Carlo simulation method --- Stochastic sampling --- Games of chance (Mathematics) --- Mathematical models --- Numerical analysis --- Numerical calculations --- Stochastic processes --- Economics, Mathematical --- Statistics --- Econometrie --- Microsoft Excel for the Macintosh --- Microsoft Excel for Windows --- Excel (Computer file) --- Excel for Windows --- Microsoft Excel for Windows 95 --- Excel 97 --- Microsoft Excel 97 for Windows --- Excel 2000 --- Excel 2000 for Windows 95 --- Microsoft Excel 2002 --- Microsoft Office Excel 2003 --- Excel 2003 --- Microsoft Excel 2007 --- Excel 2007 --- Excel 2010 --- Microsoft Excel 2013 --- Excel 2013 --- 330.115 Econometrie --- 330.01518282 --- Microsoft Excel 2016 --- Excel 2016 --- Econometrics. --- Data processing. --- Business, Economy and Management --- Economics --- Monte Carlo method - Data processing
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