Book Econometric Analysis of Cross Section and Panel Data By Wooldridge - Chapter 6 ppt

... confuse a pooling of independent cross sections with a di¤erent data structure, panel data, which we treat starting in Chapter 7. Briefly, in a panel data set we follow the same group of individuals, ... Plugging this in and multi- plying through by ffiffiffiffiffi N p gives Additional Single-Equation Topics 139 y ¼ xb þ u 6: 6Þ Eðz 0 uÞ¼0 6: 7Þ where x is a 1 Â K vector of expla...

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... square root of the appropriate diagonal ele- ment of ^ VV N =N. The asymptotic standard errors can be loosely thought of as estimating the standard deviations of the elements of ^ yy N , and they ... Limiting Behavior of Estimators and Test Statistics In this section, we apply the previous concepts to sequences of estimators. Because estimators depend on the random outcomes...

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... Linear Model and OLS Estimation 53 II LINEAR MODELS In this part we begin our econometric analysis of linear models for cross section and panel data. In Chapter 4 we review the single-equation linear ... for cross section data as well as begin our analysis of panel data. Chapter 8 builds on the framework from Chapter 7 but considers the case where some expl...

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... a linear demand and supply system for G attributes of a good or service (see Epple, 1987; Kahn and Lang, 1988; and Wooldridge, 19 96) . The demand and supply system is written as demand g ¼ h 1g þ ... section is two-step esti- mation procedures, which arose in Chapters 6, 12, and 13. Suppose that the estimator ^ yy—it could be an M-estimator or a GMM estimator—depends on a firs...

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... to do a fixed-e¤ect-type analysis of count panel data models, which allows for arbitrary dependence between c i and x i . Their fixed e¤ects Poisson assumptions are (19 .60 ) and (19 .61 ), with the ... À3.394 (.245) À5.375 (.141) Log-likelihood value — 6, 497. 060 R-squared .590 .598 ^ ss 1.424 . 867 Chapter 1 965 2 assumption in count data contexts—then the conditional maximu...

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... cross section analysis the asymptotics is as the number of observations, denoted N throughout this book, tends to infinity. Usually what is meant by this statement is obvious. For panel data analysis, ... the time series dimension and let the cross section dimension grow. The research on asymptotic analysis with these kinds of panel data sets is still in its early...

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... e¤ect of w on Eðy jw; cÞ, holding c fixed, is easily estimated. Unfortunately, complications often arise in the collection and analysis of economic data because of the nonexperimental nature of economics. ... across the distribution of x. Conditional Expectations and Related Concepts in Econometrics 27 If we only assume equation (2.18), then u can be correlated with nonlinear...

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... nearc4 along with smsa 66, reg 661 , reg 662 , and reg 669 . Are iq and nearc4 partially correlated? What do you conclude about the importance of controlling for the 1 966 location and regional dummies ... quarters of birth and various interactions of these with year of birth and state of birth—are very weak, and they are too numerous relative to their contribu- tion in...

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... cities. Example 7 .6 (Wage Equation with Panel Data) : Suppose we have data for the years 1990, 1991, and 1992 on a cross section of individuals, and we would like to estimate the e¤ect of computer usage ... observations pooled across i and t. We men- tioned this estimator in the context of independent cross sections in Section 6. 3. The estimator in equation (7.17)...

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... the cross section sample size, N; for an example, see Problem 8.8. We cover general panel data appli- cations in Chapter 11. (As in Chapter 7, the label ‘‘systems of equations’’ is not es- pecially ... y i , X i , and u i can represent di¤erent time periods for the same cross- sectional unit (so G ¼ T, the total number of time periods). Therefore, the following analysis...

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