000			02270cam a2200373 i 4500
001			18152742
003			OSt
005			20210706092827.0
008			140515s2015 maua b 001 0 eng
010			_a 2014018465
020			_a9781292071312 (pbk.)
020			_a1292071311 (pbk.)
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
050	0	0	_aHB139.S76
082	0	0	_a330.01/5195 _223
100	1		_aStock, James H.
245	1	0	_aIntroduction to econometrics / _cJames H. Stock, Mark W. Watson.
250			_a3rd ed. (updated)
264		1	_aBoston : _bPearson, _c2015.
300			_a835 p. : _bill. ;
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aThe Pearson series in economics
504			_aIncludes bibliographical references (pages 765-769) and index.
505			_a1. Economic questions and data -- Review of probability -- Review of statistics -- Linear regression with one regressor -- Regression with a single regressor -- Linear regression with multiple regressors -- Hypothesis tests and confidence intervals in multiple regression -- Nonlinear regression functions -- Assessing studies based on multiple regression -- Regression with panel data -- Regression with a binary dependent variable -- Instrumental variables regression -- Experiments and quasi-experiments -- Introduction to time series regression and forecasting -- Estimation of dynamic causal effects -- Additional topics in time series regression -- The theory of linear regression with one regressor -- The theory of multiple regression --
520			_aTo make econometrics relevant in an introductory course, interesting applications must motivate the theory and the theory must match the applications. This text aims to motivate the need for tools with concrete applications, providing simple assumptions that match the application
650		0	_aEconometrics.
700	1		_aWatson, Mark W.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c7699 _d15199