The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.

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Econometric Analysis of Cross Section and Panel Data

抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

Preface.1. Introduction.1.1 Panel Data: Some Examples.1.2 Why Should We Use Panel Data? Their Benefits and Limitations.Note.2. The One-way Error Component Regression Model.2.1 Introduction.2.2 The Fixed Effects Model.2.3 The Random Effects Model.2.4 Maximum Likelihood Estimation.2.5 Prediction.2.6 Examples.2.7 Selected Applications.2.8 Computational Note.Notes.Problems.3. The Two-way Error Component Regression Model.3.1 Introduction.3.2 The Fixed Effects Model.3.3 The Random Effects Model.3.4 Maximum Likelihood Estimation.3.5 Prediction.3.6 Examples.3.7 Selected Applications.Notes.Problems.4. Test of Hypotheses with Panel Data.4.1 Tests for Poolability of the Data.4.2 Tests for Individual and Time Effects.4.3 Hausman's Specification Test.4.4 Further Reading.Notes.Problems.5. Heteroskedasticity and Serial Correlation in the Error Component Model.5.1 Heteroskedasticity.5.2 Serial Correlation.Notes.Problems.6. Seemingly Unrelated Regressions with Error Components.6.1 The One-way Model.6.2 The Two-way Model.6.3 Applications and Extensions.Problems.7. Simultaneous Equations with Error Components.7.1 Single Equation Estimation.7.2 Empirical Example: Crime in North Carolina.7.3 System Estimation.7.4 The Hausman and Taylor Estimator.7.5 Empirical Example: Earnings Equation Using PSID Data.7.6 Extensions.Notes.Problems.8. Dynamic Panel Data Models.8.1 Introduction.8.2 The Arellano and Bond Estimator.8.3 The Arellano and Bover Estimator.8.4 The Ahn and Schmidt Moment Conditions.8.5 The Blundell and Bond System GMM Estimator.8.6 The Keane and Runkle Estimator.8.7 Further Developments.8.8 Empirical Example: Dynamic Demand for Cigarettes.8.9 Further Reading.Notes.Problems.9. Unbalanced Panel Data Models.9.1 Introduction.9.2 The Unbalanced One-way Error Component Model.9.3 Empirical Example: Hedonic Housing.9.4 The Unbalanced Two-way Error Component Model.9.5 Testing for Individual and Time Effects Using Unbalanced Panel Data.9.6 The Unbalanced Nested Error Component Model.Notes.Problems.10. Special Topics.10.1 Measurement Error and Panel Data.10.2 Rotating Panels.10.3 Pseudo-panels.10.4 Alternative Methods of Pooling Time Series of Cross-section Data.10.5 Spatial Panels.10.6 Short-run vs Long-run Estimates in Pooled Models.10.7 Heterogeneous Panels.Notes.Problems.11. Limited Dependent Variables and Panel Data.11.1 Fixed and Random Logit and Probit Models.11.2 Simulation Estimation of Limited Dependent Variable Models with Panel Data.11.3 Dynamic Panel Data Limited Dependent Variable Models.11.4 Selection Bias in Panel Data.11.5 Censored and Truncated Panel Data Models.11.6 Empirical Applications.11.7 Empirical Example: Nurses' Labor Supply.11.8 Further Reading.Notes.Problems.12. Nonstationary Panels.12.1 Introduction.12.2 Panel Unit Roots Tests Assuming Cross-sectional Independence.12.3 Panel Unit Roots Tests Allowing for Cross-sectional Dependence.12.4 Spurious Regression in Panel Data.12.5 Panel Cointegration Tests.12.6 Estimation and Inference in Panel Cointegration Models.12.7 Empirical Example: Purchasing Power Parity.12.8 Further Reading.Notes.Problems.References.Index.

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Econometric Analysis of Panel Data

Co-Planar Stereotaxic Atlas of the Human Brain—3-Dimensional Proportional System: An Approach to Cerebral Imaging, J. Talairach, P. Tournoux. Georg Thieme Verlag, New York (1988), 122 pp., 130 figs. DM 268

Parkinson's disease: Mechanisms and models

The present invention relates to a one-vector expression system comprising a sequence encoding two polypeptides, such as tyrosine hydroxylase (TH) and GTP-cyclohydrolase 1 (GCH1). The two polypeptides can be should preferentially be expressed at a ratio between 3:1 and 15:1, such as between 3:1 and 7:1. The invention is useful in the treatment of catecholamine deficient disorders, such as dopamine deficient disorders including but not limited to Parkinson's Disease. Moreover, the present invention provides a method to deliver the vector construct in order to limit the increased production of the catecholamine to the cells in need thereof.

Novel viral vector construct for neuron specific optimized continuous dopa synthesis in vivo

Does a family-friendly policy raise fertility levels?

Publisher Summary The motor symptoms in patients with Parkinson's disease (PD) are considered to be because of severe dopamine (DA) depletion in forebrain striatal areas This chapter discusses and summarizes the data obtained so far on the morphological, functional, and immunological characteristics of grafted human fetal dopamine (DA) neurons The experimental data obtained by grafting human fetal DA neurons to rats clearly suggest that these cells could provide an excellent source of donor tissue for transplantation in PD patients Human fetal DA neurons survive intracerebral transplantation, reinnervate the DA-depleted striatum, and form synaptic contacts with host striatal neurons The estimation of the survival and growth capacity of grafted DA neurons seem to indicate that implantation of a limited amount of human fetal mesencephalic tissue could markedly restore DA neurotransmission in a significant portion of the human striatum, sufficient to produce a therapeutically valuable improvement of motor performance in a patient with PD However, the potential medical risks of intracerebral neural grafting need to be considered very carefully and weighed against the potential benefit of an improved motor function for the patient, when embarking upon clinical trials

Can human fetal dopamine neuron grafts provide a therapy for Parkinson's disease?

This paper presents new evidence on intergenerational income and earnings mobility in the top of the distributions. Using a large dataset of matched father-son pairs in Sweden we are able to obtain results for fractions as small as 0.1 percent of the population. Overall, mobility is lower for incomes than for earnings and it appears to decrease the higher up in the distribution one goes. In the case of incomes, however, we find that mobility decreases dramatically within the top percentile of the population. Our results suggest that Sweden, well-known for its egalitarian achievements, is a society where equality of opportunity for a large majority of wage earners coexists with capitalistic dynasties.

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Intergenerational top income mobility in Sweden: a combination of equal opportunity and capitalistic dynasties

Sweden has for a long time spent large resources on labor market policies targeted to the unemployed. In the Anglo-Saxon labor economics literature new methods have been developed for the purpose of estimating the effects of such policies. This paper presents the new methods in this field and describes the main studies of Swedish labor market policies. The conc1usion is that in spite of new methodological insight there remains much uncertainty about the effects of the Swedish policy experiment.

Anders Björklund

Papers

Novel viral vector construct for neuron specific optimized continuous dopa synthesis in vivo

Does a family-friendly policy raise fertility levels?

Can human fetal dopamine neuron grafts provide a therapy for Parkinson's disease?

Intergenerational top income mobility in Sweden: a combination of equal opportunity and capitalistic dynasties

Evaluations of Swedish Labor Market Policy