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 fluorophore and fluorescence yield from tryptamine and 3-methoxytyramine in histochemical protein models have been compared in the standard formaldehyde reaction, the acid-catalyzed formaldehyde reaction, the formaldehyde-ozone reaction, and the aluminum-formaldehyde reaction. In the standard formaldehyde reaction both the fluorophore and fluorescence yields are low. However, the other reactions give a dramatic increase in fluorescence intensity (18–20 times) from tryptamine and 3-methoxytyramine whereas only minor changes (up to 100% increase) in fluorophore yield are observed. It is concluded that the relative fluorescence intensity of each fluorophore molecule formed in the three modifications of the formaldehyde reaction is much higher than that of the molecules formed in the standard formaldehyde reaction. It has previously been demonstrated that the fluorophores formed from dopamine in the gaseous formaldehyde and glyoxylic acid reactions have a much higher (10 times) relative fluorescence intensity than the synthetic fluorophores. The present experiments show that if the histochemical models are dissolved in buffer after the reaction and new models are made from this solution, the fluorescence intensity of the fluorophores formed in the reaction is drastically reduced and becomes comparable to that of the synthetic ones. The results of this and our previous studies indicate that hitherto unknown fluorescence enhancing mechanisms play a major role for the fluorescence yield, i.e. the sensitivity, in the various formaldehyde and glyoxylic acid methods. One possible explanation to the high relative fluorescence intensity of the fluorophores formed in the histochemical reactions could be an energy transfer between, e.g. the non-fluorescent intermediary reaction products (the tetrahydro derivatives) and the fluorophores (the dihydroisoquinolines and dihydro-β-carbolines). Such an energy transfer is probably attenuated in the dissolved models, where the distances between and orientations of the various molecules have been changed.

New aspects on factors determining the sensitivity of the formaldehyde and glyoxylic acid fluorescence histochemical methods for monoamines

Assessing the Decline of Wage Dispersion in Sweden

Following lesions that cause substantial tissue damage, such as spinal cord transection or large hemorrhagic necroses in the brain, mammals exhibit very little evidence of regeneration of the severed axons across the necrosis (see Refs. 1–4 for reviews). This holds true also for those nonmyelinated or finely myelinated systems, such as the monoaminergic and cholinergic neurons, that have been shown to possess a very pronounced regenerative capacity (see Ref. 5 for review). Early this century, Tello6, 7 and Ramon y Cajal8 described this regenerative failure as due to a lack of neurotropic mechanisms and growth pathways in the adult mammalian CNS. Based on this notion, these authors were the first to attempt to promote regeneration of lesioned central axons by using implants of peripheral nerve.

Use of CNS Implants to Promote Regeneration of Central Axons across Denervating Lesions in the Adult Rat Brain

This article analyzes whether the commonly found negative relationship between parental separation in childhood and educational outcomes is causal or mainly due to selection. We use data on about 100,000 Swedish full biological siblings, born in 1951-64, and perform cross-section and sibling-difference estimations. Outcomes are measured as educational attainment in 1996. Our cross-section analysis show the expected negative and significant relationship, while the relationship is not significant, though precisely estimated, in the siblingdifference analysis. This finding was robust to the sensitivity tests performed and is consistent with selection, rather than causation, being the explanation for the negative relationship.

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Parental Separation and Children's Educational Attainment: A Siblings Approach

Publisher Summary This chapter examines the acetylcholine release from intrahippocampal septal grafts. It discusses the dependency of acetylcholine release on axonal impulse flow and behavioral activation. By using the intracerebral microdialysis technique, it is possible to measure the extracellular levels of transmitter and study the effects of different manipulations. Two sets of manipulations are performed in unrestrained normal rats, FF-lesioned rats, and rats with lesions plus either septal suspension grafts in the hippocampus or solid septal grafts in the lesion cavity. A pharmacological characterization is made by changing the axonal membrane properties by high K + or by adding tetrodotoxin (TTX) to the perfusate. Behavioral activation is achieved either by handling the rats or by electrically stimulating the nucleus of the lateral habenula (LHb). The stimulation of the LHb, which has widespread projections to the brainstem reticular formation, causes sustained behavioral activation as well as release of noradrenaline and serotonin in the forebrain. To control for the effects of the LHb stimulation, a transection of the fasciculus retroflexus (FR), which is the outflow pathway from the LHb, is performed between two stimulations.

Anders Björklund

Papers

New aspects on factors determining the sensitivity of the formaldehyde and glyoxylic acid fluorescence histochemical methods for monoamines

Assessing the Decline of Wage Dispersion in Sweden

Use of CNS Implants to Promote Regeneration of Central Axons across Denervating Lesions in the Adult Rat Brain

Parental Separation and Children's Educational Attainment: A Siblings Approach

Acetylcholine release from intrahippocampal septal grafts is under control by the host brain: a microdialysis study.