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Dersin notlar覺 襤lkem Fotokopidedir. Derste %30 puanl覺k zorunlu 繹dev uygulamas覺 yap覺lmaktad覺r. Detayl覺 bilgi i癟in ders notlar覺n覺n ilk sayfas覺n覺 okuyunuz. Derste ilenen sorular aa覺da verilmitir. Sorular覺n ayn覺s覺 kesinlikle s覺navlarda 癟覺kmayacakt覺r.

F襤NAL s覺nav覺 i癟in vizeden 繹nceki konulardan 癟eviri 癟覺kmayacakt覺r, sadece kelime listesinden sorumlusunuz.

alttan alanlara繹dev duyurusu!!!

Haftal覺k devleri癟in t覺klay覺n覺z.

Ekonometri terimleri listesii癟in t覺klay覺n覺z.

Derste yap覺lan ugulama: MydII_classwork2

UYARI: Sayfa 210da balayan solved problems tan 9.1, 9.4, 9.8, 9.13ten de sorumlusunuz. Vize s覺nav覺 sayfa 221 in sonuna kadard覺r. Sorumlu olduunuz kelimelerinlistesiniExcel dosyas覺 olarak DEBIS'ten de g繹nderdim.

Questions:

1. What does statistics refer to?

2. What is descriptive statistics?

3. What is inferential statistics?

4. What should happen in order for the statistics be valid?

5. Discuss Example 1.

6. What does econometrics refer to?

7. What does regression analysis do?

8. What should we include a disturbance term?

9. Discuss Example 2.

10. What are the stages of econometric research?

11. Discuss Example 3.

12. What is the purpose and function of the field of study of statistics?

13. What is the purpose and function of descriptive statistics?

14. What is the purpose and function of inferential statistics?

15. Are descriptive or inferential statistics more important today?

16. What is the importance of a representative sample in statistical inference?

17. Why is probability theory required?

18. How can the manager of a firm producing lightbulbs summarize and describe to a board meeting the results of testing the life of a sample of 100 lightbulbs produced by the firm?

19. Why may the manager in Question 18 want to engage in statistical inference?

20. What would this involve and require?

21. What is meant by econometrics?

22. What is meant by regression analysis?

23. What is meant by disturbance or error term?

24. What is meant by simultaneous-equations models?

25. What are the functions of econometrics?

26. What aspects of econometrics (and other social sciences) make it basically different from most physical sciences?

27. In what way and for what purpose are economic theory combined to form the field of study of econometrics?

28. In what way and for what purpose are mathematics combined to form the field of study of econometrics?

29. In what way and for what purpose are statistical analysis combined to form the field of study of econometrics?

30. What justifies the inclusion of a disturbance or error term in regression analysis?

31. Consumer demand theory states that the quantity demanded of a commodity Dx is a function of, or depends on, its price Px, consumer's income Y, and the price of other (related) commodities, say, commodity Z (i.e., PZ). Assuming that consumers' tastes remain constant during the period of analysis, state the preceding theory in (a) specific or explicit linear form or equation and (b) in stochastic form. (c) Which are the coefficients to be estimated? What are they called?

32. With reference to the consumer demand theory in Prob. 1.9, indicate

a. What the first step is in econometric research and

b. What the a priori theoretical expectations are of the sign and possible size of the parameters of the demand function given by Eq. (1.4).

33. Indicate the second stage in econometric research

a. In general and

b. With reference to the demand function specified by Eq. (1.4).

34. How does the type of data required to estimate the demand function specified by Eq. (1.4) differ from the type of data that would be required to estimate the consumption function for a group of families at one point in time?

35. What is meant by the third stage in econometric analysis?

36. What is meant by a priori theoretical criteria?

37. What is meant by Statistical criteria?

38. What is meant by Econometric criteria?

39. What is meant by the forecasting ability of the model?

40. Present in schematic form the various stages of econometric research.

41. Why do we use simple regression analysis?

42. How do we do simple regression analysis?

43. Why do we use the error term?

44. What are the features of the error term?

45. Explain Example1.

46. What is OLS?

47. How does OLS work?

48. Explain Example 2.

49. What is required for tests of significance?

50. How do we calculate the residual variance?

51. What are the standard errors of the estimates?

52. What is the total variation in Y?

53. What is the coefficient of determination, how can we calculate it?

54. What is the correlation coefficient?

55. Explain Example 4.

56. What are the properties of OLS estimators?

57. What is meant by and what is the function of simple regression analysis?

58. What is meant by and what is the function of linear regression analysis?

59. What is meant by and what is the function of a scatter diagram?

60. What is meant by and what is the function of an error term?

61. Explain chapter 8.1.

62. Discuss example 1.

63. What is dummy variable? Why do we use dummy variables? (p182, c8.2)

64. What is forecasting? (p183, c8.4)

65. When do we use binary choice models? What are the binary choice models? (p184,c8.5)

66. What is multicollinearity? Why is it dangerous? What can we do to reduce it? (p206,c9.1)

67. What is heteroscedasticity? Why is it dangerous? What can we do to reduce it? (p207,c9.2)

68. What is autocorrelation? Why is it dangerous? (p208,c9.3)

What iserrors in variables? Why is it dangerous? What can we do to reduce it? (p209,c9.4)

UYARI: Sayfa 210da balayan solved problems tan 9.1, 9.4, 9.8, 9.13ten de sorumlusunuz. Vize s覺nav覺 sayfa 221 in sonuna kadard覺r.

Vize sonras覺 sorular:

Operations Research k覺sm覺na bal覺yoruz (Sf.43) atlanan yerler oldu.

99. What does the term operations research (OR) describe and what is the goal of OR?

100. What kind of issues does OR address?

101. Which analytical methods do we use in OR?

102. What are the steps of the actual OR process?

103. What are the benefits of OR?

104. What are the groups of methods of OR?

105. What is the goal of simulation methods?
106. What is the goal of optimization methods?

107. What is the goal of data analysis?

108. Where do we use OR in manufacturing?

109. What is operations research?

110. Discuss deterministic models.

111. What do OR models give emphasis on?

112. What are the examples of OR problems?

113. What is the role of OR analyst?

114. Discuss the role of computers in OR.

115. What is the goal of optimization models?

116. What are the components of an optimization model?

117. What are the further uses of optimization models?

118. Explain the product mix problem.

119. Form the linear model for the product mix problem.

120. What are the areas of application of OR?

121. What are the professional societies of OR?

122. What are the origins of the OR?

123. What are the leading OR journals?

124. What is management science?

125. What are some fields in MS?

126. What is the MSs mandate?

127. What is decision analysis, what does it include?

128. What is a mathematical model, where and when do we use it?

129. What does a mathematical model describe?

130. What are the building blocks of mathematical models, explain each one of them?

131. In how many ways can we classify mathematical models?

132. Explain linear vs. nonlinear models.

133. Explain deterministic vs. probabilistic (stochastic) models.

134. Explain static vs. dynamic models.

135. Explain lumped parameters vs. distributed parameters models.

136. What are black-box and white box models?

137. Which model do we prefer and why?

138. What is simulation and simulating?

139. Where do we use simulation?

140. What are the key issues in simulation?

141. What is forecasting and what are its categories?

142. What is queuing theory?

143. What is game theory, where do we use it?

144. Where do we see game theory in media and popular culture?

145. Where do economists use game theory?

146. What is graph theory?

147. What is systems thinking (explain in detail)?

Aradaki sayfalar atlanarak Chapter IVe ge癟ildi

159. What is linear programming?

160. Network flow programming?

161. What is integer programming? (2+)

162. What is nonlinear programming?

163. What is dynamic programming? (2+)

164. What is combinatorial optimization?

165. Explain stochastic processes? (2+)

166. Explain discrete time Markov chains.

167. Explain continuous time Markov chains.

168. What is Simulation?

169. What is investment economics?

170. What is facility layout?

171. What is process flow analysis?

172. What is project management?

173. What is forecasting?

174. What is inventory theory?

175. What is MRP?