LEADER 04498nam 2200493 450 001 9910522964503321 005 20220719092826.0 010 $a1-4842-7434-2 024 7 $a10.1007/978-1-4842-7434-7 035 $a(CKB)5340000000068571 035 $a(MiAaPQ)EBC6793745 035 $a(Au-PeEL)EBL6793745 035 $a(OCoLC)1283846954 035 $a(OCoLC)1281249650 035 $a(OCoLC-P)1281249650 035 $a(CaSebORM)9781484274347 035 $a(EXLCZ)995340000000068571 100 $a20220719d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEconometrics and data science $eapply data science techniques to model complex problems and implement solutions for economic problems /$fTshepo Chris Nokeri 210 1$aCalifornia :$cApress L. P.,$d[2022] 210 4$dİ2022 215 $a1 online resource (241 pages) 300 $aIncludes index. 311 $a1-4842-7433-4 327 $aChapter 1 Introduction to Econometrics -- Chapter 2 Univariate Consumption Study Applying Regression -- Chapter 3 Multivariate Consumption Study Applying Regression -- Chapter 4 Forecasting Growth -- Chapter 5 Classifying Economic Data Applying Logistic Regression -- Chapter 6 Finding Hidden Patterns in World Economy and Growth -- Chapter 7 Clustering GNI Per Capita on a Continental Level -- Chapter 8 Solving Economic Problems Applying Artificial Neural Networks -- Chapter 9 Inflation Simulation -- Chapter 10 Economic Causal Analysis Applying Structural Equation Modelling. 330 $aGet up to speed on the application of machine learning approaches in macroeconomic research. This book brings together economics and data science. Author Tshepo Chris Nokeri begins by introducing you to covariance analysis, correlation analysis, cross-validation, hyperparameter optimization, regression analysis, and residual analysis. In addition, he presents an approach to contend with multi-collinearity. He then debunks a time series model recognized as the additive model. He reveals a technique for binarizing an economic feature to perform classification analysis using logistic regression. He brings in the Hidden Markov Model, used to discover hidden patterns and growth in the world economy. The author demonstrates unsupervised machine learning techniques such as principal component analysis and cluster analysis. Key deep learning concepts and ways of structuring artificial neural networks are explored along with training them and assessing their performance. The Monte Carlo simulation technique is applied to stimulate the purchasing power of money in an economy. Lastly, the Structural Equation Model (SEM) is considered to integrate correlation analysis, factor analysis, multivariate analysis, causal analysis, and path analysis. After reading this book, you should be able to recognize the connection between econometrics and data science. You will know how to apply a machine learning approach to modeling complex economic problems and others beyond this book. You will know how to circumvent and enhance model performance, together with the practical implications of a machine learning approach in econometrics, and you will be able to deal with pressing economic problems. What You Will LearnExamine complex, multivariate, linear-causal structures through the path and structural analysis technique, including non-linearity and hidden statesBe familiar with practical applications of machine learning and deep learning in econometricsUnderstand theoretical framework and hypothesis development, and techniques for selecting appropriate modelsDevelop, test, validate, and improve key supervised (i.e., regression and classification) and unsupervised (i.e., dimension reduction and cluster analysis) machine learning models, alongside neural networks, Markov, and SEM modelsRepresent and interpret data and models Who This Book Is ForBeginning and intermediate data scientists, economists, machine learning engineers, statisticians, and business executives 606 $aEconometrics 606 $aQuantitative research 615 0$aEconometrics. 615 0$aQuantitative research. 676 $a330.015195 700 $aNokeri$b Tshepo$01251850 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910522964503321 996 $aEconometrics and data science$92901657 997 $aUNINA