SALE

Test Bank for Introductory Econometrics A Modern Approach, 6th Edition

Original price was: $35.00.Current price is: $26.50.

Test Bank for Introductory Econometrics A Modern Approach, 6th Edition Digital Instant Download

Category:

Instant download Test Bank for Introductory Econometrics A Modern Approach, 6th Edition pdf docx epub after payment.

Product details:

  • ISBN-10 ‏ : ‎ 130527010X
  • ISBN-13 ‏ : ‎ 978-1305270107
  • Author: Jeffrey M. Wooldridge

Discover how empirical researchers today actually consider and apply econometric methods with the practical approach in Wooldridge’s INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 6E. Unlike traditional texts, this book uniquely demonstrates how econometrics has moved beyond a set of abstract tools to become genuinely useful for answering questions in business, policy evaluation, and forecasting. INTRODUCTORY ECONOMETRICS is organized around the type of data being analyzed with a systematic approach that only introduces assumptions as they are needed. This makes the material easier to understand and, ultimately, leads to better econometric practices. Packed with relevant applications, the text incorporates more than 100 intriguing data sets, available in six formats. Updates introduce the latest emerging developments in the field. Gain a full understanding of the impact of econometrics in practice today with the insights and applications found only in INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 6E.

Table Of Contents:

  1. Ch 1: The Nature of Econometrics and Economic Data
  2. 1-1 What is Econometrics?
  3. 1-2 Steps in Empirical Economic Analysis
  4. 1-3 The Structure of Economic Data
  5. 1-4 Causality and the Notion of Ceteris Paribus in Econometric Analysis
  6. Summary
  7. Key Terms
  8. Problems
  9. Computer Exercises
  10. Part 1: Regression Analysis with Cross-Sectional Data
  11. Ch 2: The Simple Regression Model
  12. 2-1 Definition of the Simple Regression Model
  13. 2-2 Deriving the Ordinary Least Squares Estimates
  14. 2-3 Properties of OLS on Any Sample of Data
  15. 2-4 Units of Measurement and Functional Form
  16. 2-5 Expected Values and Variances of the OLS Estimators
  17. 2-6 Regression through the Origin and Regression on a Constant
  18. Summary
  19. Key Terms
  20. Problems
  21. Computer Exercises
  22. Appendix 2A
  23. Ch 3: Multiple Regression Analysis: Estimation
  24. 3-1 Motivation for Multiple Regression
  25. 3-2 Mechanics and Interpretation of Ordinary Least Squares
  26. 3-3 The Expected Value of the OLS Estimators
  27. 3-4 The Variance of the OLS Estimators
  28. 3-5 Efficiency of OLS: The Gauss-Markov Theorem
  29. 3-6 Some Comments on the Language of Multiple Regression Analysis
  30. Summary
  31. Key Terms
  32. Problems
  33. Computer Exercises
  34. Appendix 3A
  35. Ch 4: Multiple Regression Analysis: Inference
  36. 4-1 Sampling Distributions of the OLS Estimators
  37. 4-2 Testing Hypotheses about a Single Population Parameter: The t Test
  38. 4-3 Confidence Intervals
  39. 4-4 Testing Hypotheses about a Single Linear Combination of the Parameters
  40. 4-5 Testing Multiple Linear Restrictions: The F Test
  41. 4-6 Reporting Regression Results
  42. Summary
  43. Key Terms
  44. Problems
  45. Computer Exercises
  46. Ch 5: Multiple Regression Analysis: OLS Asymptotics
  47. 5-1 Consistency
  48. 5-2 Asymptotic Normality and Large Sample Inference
  49. 5-3 Asymptotic Efficiency of OLS
  50. Summary
  51. Key Terms
  52. Problems
  53. Computer Exercises
  54. Appendix 5A
  55. Ch 6: Multiple Regression Analysis: Further Issues
  56. 6-1 Effects of Data Scaling on OLS Statistics
  57. 6-2 More on Functional Form
  58. 6-3 More on Goodness-of-Fit and Selection of Regressors
  59. 6-4 Prediction and Residual Analysis
  60. Summary
  61. Key Terms
  62. Problems
  63. Computer Exercises
  64. Appendix 6A
  65. Ch 7: Multiple Regression Analysis with Qualitative Information: Binary (or Dummy) Variables
  66. 7-1 Describing Qualitative Information
  67. 7-2 A Single Dummy Independent Variable
  68. 7-3 Using Dummy Variables for Multiple Categories
  69. 7-4 Interactions Involving Dummy Variables
  70. 7-5 A Binary Dependent Variable: The Linear Probability Model
  71. 7-6 More on Policy Analysis and Program Evaluation
  72. 7-7 Interpreting Regression Results with Discrete Dependent Variables
  73. Summary
  74. Key Terms
  75. Problems
  76. Computer Exercises
  77. Ch 8: Heteroskedasticity
  78. 8-1 Consequences of Heteroskedasticity for OLS
  79. 8-2 Heteroskedasticity-Robust Inference after OLS Estimation
  80. 8-3 Testing for Heteroskedasticity
  81. 8-4 Weighted Least Squares Estimation
  82. 8-5 The Linear Probability Model Revisited
  83. Summary
  84. Key Terms
  85. Problems
  86. Computer Exercises

People also search:

introductory econometrics a modern approach 6th edition

an introduction to modern econometrics using stata pdf

introductory econometrics a modern approach solutions pdf

introductory econometrics. a modern approach

an introduction to modern econometrics using stata

Related products