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

A question of making it work

The relative importance of synaptic versus paracrine dopamine transmission for the occurrence of functional effects following intrastriatal grafting is not fully established. In the present study we grafted cell lines, expressing the form I of human tyrosine hydroxylase after infection with a recombinant retrovirus and selection in tyrosine-free-medium, to the denervated striatum in order to analyse the extent to which extracellular dopamine levels can be restored and the effect of a diffuse release of dopamine on motor impairement in a rat model of Parkinson's disease. In petri dish, the modified fibroblast cells (NIH.3T3) release DOPA constitutively whereas the modified endocrine cells (RIN) store and release dopamine in a regulated way. Interestingly, in denervated striatum, grafts of modified fibroblast cells produce DOPA which was efficiently converted into dopamine by the host striatal tissue. In the grafted striatum, both fibroblast and endocrine cells restore subnormal levels of diffuse release of dopamine which is notably unaffected and stimulated, respectively, by high concentration of potassium, in connection with the in vitro properties of the grafted cells. The intrastriatal grafts of modified cells partially reversed the apomorphine-induced but not the amphetamine-induced motor asymmetry. We discuss the implications of these results in the context of Parkinson disease.

Behavioural effects of genetically engineered cells releasing dopa and dopamine after intracerebral grafting in a rat model of Parkinson's disease.

Subcortical deafferentation of the hippocampal formation is known to induce profound behavioural deficits. Transplants of fetal septal or brainstem tissue are capable of restoring some aspects of normal physiological and behavioural function in subcortically deafferented (i.e. fimbria-fornix or septal lesioned) rats. Such grafts have been shown to re-establish extensive new afferent inputs to the denervated hippocampal formation. As shown for grafted cholinergic and noradrenergic neurons, the ingrowing axons form laminar innervation patterns which closely mimic those of the normal cholinergic and noradrenergic innervations. The ingrowth appears to be very precisely regulated by the denervated target: each neuron type produces distinctly different innervation patterns; the growth is inhibited by the presence of an intact innervation of the same type; and it is stimulated by additional denervating lesions. Both ultrastructually and electrophysiologically the graft-derived fibres have been seen to form extensive functional synaptic contacts. Biochemically, cholinergic septal grafts and noradrenergic locus coeruleus grafts restore transmitter synthesis and turnover in the reinnervated hippocampus. Intracerebral microdialysis has revealed that acetylcholine and noradrenaline release is restored to normal or supranormal levels in the graft-reinnervated hippocampus, and that the grafted neurons can be activated in a normal way from the host through behavioural activation induced by sensory stimulation or electrical stimulation of the lateral habenula. These results indicate that the grafted monoaminergic neurons can restore tonic regulatory neurotransmission at previously denervated synaptic sites even when they are implanted into the ectopic brain sites. Such functional reafferentation may be sufficient for at least partial restoration of function in the subcortically deafferented hippocampus.

Reafferentation of the subcortically denervated hippocampus as a model for transplant-induced functional recovery in the CNS.

Adult (3-month-old) and aged (28-month-old) rats that had been pretreated with 5,7-DHT in both lateral ventricles received grafts of cell suspensions taken from the RR or MR regions taken from the embryonic stages E12-21. These cell suspensions were implanted unilaterally into the rostral part of the hippocampus or the caudate-putamen for immunohistochemical and neurochemical studies. MR and RR cell suspensions have the potency to regenerate serotonergic fibers in the previously denervated adult and aged hippocampus and caudate-putamen. The RR cell suspension, however, also showed outgrowth of other transmitter-specific neuronal systems, specifically noradrenaline and substance P. To evaluate the functional activity of the serotonergic reinnervation, we have combined immunohistochemistry and neurotransmitter release studies on adjacent hippocampus slices of adult rats. Results showed that after a survival time of 10 weeks, the serotonergic innervation of the hippocampus was greatly restored and, moreover, that the K+-induced Ca2+-dependent release of 5-HT amounted to about 80% of normal values. There appeared to be a striking similarity between the immunohistochemical and neurochemical data regarding the increase in the number of newly formed serotonergic fibers, the increase of the release of radiolabeled 5-HT, and the extent of the outgrowth in the hippocampus.

Functional Activity of Raphe Neurons Transplanted to the Hippocampus and Caudate-Putamen

The Swedish approach to labor market adjustment has its intellectual origins in very influential work from the early 1950s by trade union economists, notably Gosta Rehn and Rudolf Meidner. A basic theme of the so called Rehn—Meidner model was that adjustment of relative wages are inefficient and/or undesirable as a means to accomplish sectoral labor reallocations. According to Rehn and Meidner, labor mobility induced by relative wage changes is a slow process, and it may also have undesirable distributional consequences. The process of structural change should therefore be stimulated by deliberate actions on part of the confederation of trade unions and the government. This policy involved a “solidaristic” wage policy as well as active labor market policies.

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Anders Björklund

Papers

A question of making it work

Behavioural effects of genetically engineered cells releasing dopa and dopamine after intracerebral grafting in a rat model of Parkinson's disease.

Reafferentation of the subcortically denervated hippocampus as a model for transplant-induced functional recovery in the CNS.

Functional Activity of Raphe Neurons Transplanted to the Hippocampus and Caudate-Putamen

Job Mobility and Subsequent Wages in Sweden