000			02071nam a22002655i 4500
001			Rebiun15635469
008			150416s2011 sp |||| ||spa d
020			_a9781118032107
040			_aUCLM _ctbs
080			_a330.4
080			_a004.43Excel
100	1		_aBriand, Genevieve
245	1	0	_aUsing excel for principles of econometrics _c/ Genevieve Briand , R. Carter Hill.
250			_a4th ed.
260			_aNew York [etc.] : _bWiley, _c2011.
300			_a470 p. : _bgraphics. ; _c27 cm
505			_aIntroduction to Excel — The Simple Linear Regression Model — Interval Estimation and Hypothesis Testing — Prediction, Goodness-of-Fitand Modeling Issues — The Multiple Linear Regression — Further Inf ere nee in the Multiple Regression Model — Using Indicator Variables — Heteroskedasticity — Regressions with Time Series Data: Stationary Variables — Random Regressors and Moment-Based Estimation — Simultaneous EquationsModels — Nonstationary Time-Series Data and Cointegration — Vector Error Correction and Vector Autoregressive Models — Time-Varying Volatility and ARCH Models — Panel Data Models — Qualitative and Limited Dependent Variable Models — APPENDIX A Mathematical Tools — APPENDIX B Review of Probability Concepts — APPENDIX C Review of Statistical Inference.
520			_aPrinciples of Econometrics is an introductory book for undergraduate students in economics and finance, and can be used for MBA and first-year graduate students in many fields. The 4th Edition provides students with an understanding of why econometrics is necessary and a working knowledge of basic econometric tools. This text emphasizes motivation, understanding and implementation by introducing very simple economic models and asking economic questions that students can answer.
650		0	_aEconometrics _96309
650		0	_aMicrosoft Excel (Computer file) _9898
650		0	_a Probability _92157
700	1		_aHill, R. Carter
942			_2lcc
999			_c3622 _d3622
041			_aEnglish