000			03078nam a2200313 i 4500
999			_c14810 _d14810
001			023326
003			CO-UCACDB
005			20230801173225.0
008			150218s2006 xxua fr 000 0 eng d
020			_a9781597180139
040			_aCO-UCAC _beng _cCO-UCAC
041	0		_aeng
043			_axxu
082	0	4	_222 _a330.015195 _cB347 _d2006
100	1		_923355 _aBaum, Christopher F.
245	1	3	_aAn introduction to modern econometrics using stata / _cChristopher F. Baum
264			_aCoillege Station [Texas] : _bStata Press Publication, _c2006.
300			_a341 páginas ; _bilustraciones, gráficas ; _f2 ejemplares _c18 x 23 cm.
505			_a1. Introduction. 2. Working with economics and financial data in Satata. 3. Organizing and handling economic data. 4. Linear regression. 5. Speciffying the functional form. 6. Regression with non-i.i.d. error. 7. Regression with indicator variables. 8. Instrumental variables estimators. 9. Panel-data models. 10. Models of discrete and limited dependent variables. A. Getting the data into Stata. B. The basics of Stata programming.
505			_a1. Introducción. 2. Trabajar con datos económicos y financieros en satata. 3. Organización y manejo de datos económicos. 4. Regresión lineal. 5. Especificando la forma funcional. 6. Regresión con non-i.i.d. error. 7. Regresión con variables indicadoras. 8. Estimadores de variables instrumentales. 9. Modelos de panel de datos. 10. Modelos de variables dependientes discretas y limitadas. A. Obtención de los datos en Stata. B. Los fundamentos de la programación de stata.
506			_aEconomía
520			_aAn Introduction to Modern Econometrics Using Stata survey many of the econometric tools used in modern empirical research and how to use them in Stata. Baum presents the essential elements of working with economic and financial data, including cross section, time series, and panel data structures; merge, append, and reshape tools; and data validation. He covers approaches such as linear regression, generalized least squares, regression with indicator variables, instrumental variables methods, panel-data models, and models of limited dependent variables, Baum illustrates these techniques with examples from the applied literature, using datasets that are downloadable from the book's web site. An appendix presents the basics of Stata do-file programming. The book develops the necessary analytical results needed to understand using estimators, hypothesis tests, and tests of model validity. Readers need no prior experience with Stata. The book should be particularly useful for those who have had an econometrics course and some experience with statistical packages but who need a clear guide to using state-of-the-art econometric techniques in Stata.
650	0	7	_2Armarc _aECONOMÍA MATEMÁTICA _922783
650	0	7	_2Armarc _aECONOMETRÍA _9919
650	0	7	_2Armarc _aPROGRAMACIÓN [MATEMÁTICAS] _92604
650	0	7	_2Armarc _aSTATA (PROGRAMA PARA COMPUTADOR) _93497
942			_2ddc _cBK