Combining the rigour of econometric theory with an accessible style, Dougherty's step by step explanations and relevant practical exercises ensure students develop an intuitive understanding of econometrics, and gain hands-on experience of the tools used in economic and financial forecasting.
Combining the rigour of econometric theory with an accessible style, Dougherty's step by step explanations and relevant practical exercises ensure students develop an intuitive understanding of econometrics, and gain hands-on experience of the tools used in economic and financial forecasting.
Dr Christopher Dougherty is an Associate Professor in Economics at the London School of Economics.
Inhaltsangabe
Introduction Review: Random Variables, Sampling, Estimation and Inference 1: Simple Regression Analysis 2: Properties of the Regression Coefficients and Hypothesis Testing 3: Multiple Regression Analysis 4: Nonlinear Models and Transformations of Variables 5: Dummy Variables 6: Specification of Regression Variables 7: Heteroskedasticity 8: Stochastic Regressors and Measurement Errors 9: Simultaneous Equations Estimation 10: Binary Choice and Limited Dependent Variable Models, and Maximum Likelihood Estimation 11: Models Using Time Series Data 12: Autocorrelation 13: Introduction to Nonstationary Time Series 14: Introduction to Panel Data Models
Introduction Review: Random Variables, Sampling, Estimation and Inference 1: Simple Regression Analysis 2: Properties of the Regression Coefficients and Hypothesis Testing 3: Multiple Regression Analysis 4: Nonlinear Models and Transformations of Variables 5: Dummy Variables 6: Specification of Regression Variables 7: Heteroskedasticity 8: Stochastic Regressors and Measurement Errors 9: Simultaneous Equations Estimation 10: Binary Choice and Limited Dependent Variable Models, and Maximum Likelihood Estimation 11: Models Using Time Series Data 12: Autocorrelation 13: Introduction to Nonstationary Time Series 14: Introduction to Panel Data Models
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