000 03100cam a22002534a 4500
001 136257
003 ISI Library, Kolkata
005 20250108020017.0
008 111031s2012 njua 001 0 eng
020 _a9780470591826 (hardback)
040 _aISI Library
082 0 4 _a330.015195
_223
_bAs826
100 1 _aAshley, Richard A.
245 1 0 _aFundamentals of applied econometrics /
_cRichard A. Ashley.
260 _aHoboken, NJ :
_bJohn Wiley,
_cc2012.
300 _axxv, 710 p. :
_bill. ;
_c24 cm.
500 _aIncludes index.
505 0 _aPart I. Introduction and Statistics Review Chapter 1. Introduction Chapter 2. A Review of Probability Theory Chapter 3. Estimating the Mean of a Normally Distributed Random Variable Chapter 4. Statistical Inference on the Mean of a Normally Distributed Random Variable Part II. Regression Analysis Chapter 5. The Bivariate Regression Model: Introduction, Assumptions, and Parameter Estimates Chapter 6. The Bivariate Linear Regression Model: Sampling Distributions and Estimator Properties Chapter 7. The Bivariate Linear Regression Model: Inference on ss Chapter 8. The Bivariate Regression Model: R2 and Prediction Chapter 9. The Multiple Regression Model Chapter 10. Diagnostically Checking and Respecifying the Multiple Regression Model: Dealing with Potential Outliers and Heteroscedasticity in the Cross-Sectional Data Case Chapter 11. Stochastic Regressors and Endogeneity Chapter 12. Instrumental Variables Estimation Chapter 13. Diagnostically Checking and Respecifying the Multiple Regression Model: The Time-Series Data Case (Part A) Chapter 14. Diagnostically Checking and Respecifying the Multiple Regression Model: The Time-Series Data Case (Part B) Part III. Additional Topics in Regression Analysis Chapter 15. Regression Modeling with Panel Data (Part A) Chapter 16. Regression Modeling with Panel Data (Part B) Chapter 17. A Concise Introduction to Time-Series Analysis and Forecasting (Part A) Chapter 18. A Concise Introduction to Time-Series Analysis and Forecasting (Part B) Chapter 19. Parameter Estimation Beyond Curve-Fitting: MLE (With an Application to Binary-Choice Models) and GMM (With an Application to IV Regression) Chapter 20. Concluding Comments Mathematics Review Index.
520 _aFundamentals of Applied Econometrics is designed for an applied, undergraduate econometrics course providing students with an understanding of the most fundamental econometric ideas and tools. The texts serves both the student whose interest is in understanding how one can use sample data to illuminate economic theory and the student who wants and needs a solid intellectual foundation on which to build practical experiential expertise. Starting with a unique Statistics review to start the book, students will learn by doing. Ashley provides students with integrated, hands-on exercises, and the text is supplemented with Active Learning Exercises.
650 0 _aEconometrics.
650 0 _aEconometrics
_xStatistical methods.
650 0 _aEconometrics
_xData processing.
942 _2ddc
_cBK
_01
999 _c419415
_d419415