<p>part1</p><p>part2</p><p>part3</p><p>part4</p><p>part5</p><p>做完这本书 本人制作电子版的工作就得告一段落了 因为我就只有这几本书了</p><p>这本书内容不深</p><p>对初学者可能有用</p><p>依旧免费</p><p>如果哪位版友有stata方面的书需要制作电子版的可以论坛消息给我</p><p>补缺页63</p><p></p><p></p><p><br/>&nbsp;</p><p></p><p>Table of contents<br/>Preface (pdf) <br/>0 About the book </p><p>0.1 Structure <br/>0.2 Using this book: Materials and hints <br/>0.3 Teaching with this manual <br/>1 "The first time" </p><p>1.1 Starting Stata <br/>1.2 Setting up your screen <br/>1.3 Your first analysis <br/>1.4 Do-files <br/>1.5 Exiting Stata <br/>2 Working with do-files </p><p>2.1 From interactive work to working with a do-file <br/>2.1.1 Alternative 1 <br/>2.1.2 Alternative 2 <br/>2.2 Designing do-files <br/>2.2.1 Comments <br/>2.2.2 Line breaks <br/>2.2.3 Some crucial commands <br/>2.3 Organizing your work <br/>2.4 Summary <br/>3 The grammar of Stata </p><p>3.1 The elements of Stata commands <br/>3.1.1 Stata commands <br/>3.1.2 The variable list <br/>List of variables: required or optional</p><p>Abbreviation rules</p><p>Special listings <br/>3.1.3 Options <br/>3.1.4 The in qualifier <br/>3.1.5 The if qualifier <br/>3.1.6 Expressions <br/>Operators <br/>Functions <br/>3.1.7 Lists of numbers <br/>3.1.8 Using filenames <br/>3.2 Repeating similar commands <br/>3.2.1 The by prefix <br/>3.2.2 The foreach loop <br/>3.2.3 The forvalues loop <br/>3.3 Weights <br/>4 Some general comments on the statistical commands <br/>5 Creating and changing variables </p><p>5.1 The commands generate and replace <br/>5.1.1 Variable names <br/>5.1.2 Some examples <br/>5.1.3 Changing codes with by, _n, and _N <br/>5.1.4 Subscripts <br/>5.2 Specialized recoding commands <br/>5.2.1 The recode command <br/>5.2.2 The egen command <br/>5.3 Additional tools for recording data <br/>5.3.1 String functions <br/>5.3.2 Date functions <br/>5.4 Commands for dealing with missing values <br/>5.5 Labels <br/>5.6 Storage types, or, the ghost in the machine <br/>6 Creating and changing graphs </p><p>6.1 A primer on graph syntax <br/>6.2 Graph types <br/>6.2.1 Examples <br/>6.2.2 Specialized graphs <br/>6.3 Graph elements <br/>6.3.1 Appearance of data</p><p>Choice of marker</p><p>Marker colors</p><p>Marker size</p><p>Lines</p><p>6.3.2 Graph and plot regions <br/>Graph size</p><p>Plot region</p><p>Scaling the axes</p><p>6.3.3 Information inside the plot region <br/>Reference lines</p><p>Labeling inside the plot region</p><p>6.3.4 Information outside the plot region <br/>Labeling the axes</p><p>Tick lines</p><p>Axis titles</p><p>The legend</p><p>Graph titles</p><p>6.4 Multiple graphs <br/>6.4.1 Overlaying numerous twoway graphs <br/>6.4.2 Option by() <br/>6.4.3 Combining graphs <br/>6.5 Saving and printing graphs <br/>7 Describing and comparing distributions </p><p>7.1 Categories: Few or many? <br/>7.2 Variables with few categories <br/>7.2.1 Tables <br/>Frequency tables</p><p>More than one frequency table</p><p>Comparing distributions</p><p>Summary statistics</p><p>7.2.2 Graphs <br/>Histograms</p><p>Bar charts</p><p>Dot chart</p><p>7.3 Variables with many categories <br/>7.3.1 Frequencies of grouped data <br/>Some remarks on grouping data</p><p>Special techniques for grouping data</p><p>7.3.2 Describing data using statistics <br/>Important summary statistics</p><p>The summarize command</p><p>The tabstat command</p><p>Comparing distributions using statistics</p><p>7.3.3 Graphs <br/>Box plots</p><p>Histograms</p><p>Kernel density estimation</p><p>Quantile plot</p><p>7.3.4 Summary <br/>7.4 Summary <br/>8 Introduction to linear regression </p><p>8.1 Simple linear regression <br/>8.1.1 The basic principle <br/>8.1.2 Linear regression using Stata <br/>The table of coefficients</p><p>Standard errors</p><p>The table of ANOVA results</p><p>The model fit table</p><p>8.2 Multiple regression <br/>8.2.1 Multiple regression using Stata <br/>8.2.2 Additional computations <br/>8.2.3 What does "under control" mean? <br/>8.3 Regression diagnostics <br/>8.3.1 Violation of E(εi) = 0 <br/>Linearity</p><p>Influential cases</p><p>Omitted variables</p><p>8.3.2 Violation of Var(εi) = σ2 <br/>8.3.3 Violation of Cov(εi, εj) = 0, i ≠ j <br/>8.4 Model extensions <br/>8.4.1 Categorical independent variables <br/>8.4.2 Interaction terms <br/>8.4.3 Regression models using transformed variables <br/>Nonlinear relations</p><p>Eliminating heteroskedasticity</p><p>8.5 More on standard errors <br/>8.5.1 Bootstrap techniques <br/>8.5.2 Confidence intervals in cluster samples <br/>8.6 Advanced techniques <br/>8.6.1 Median regression <br/>8.6.2 Regression models for panel data <br/>From wide to long format</p><p>Fixed-effects models</p><p>8.6.3 Error-component models <br/>8.7 Summary <br/>9 Regression models for categorical dependent variables </p><p>9.1 The linear probability model <br/>9.2 Basic concepts <br/>9.2.1 Odds, log odds, and odds ratios <br/>9.2.2 Excursion: The maximum likelihood principle <br/>9.3 Logistic regression with Stata <br/>9.3.1 The coefficients block <br/>Sign interpretation </p><p>Interpretation with odds ratios </p><p>Probability interpretation </p><p>9.3.2 The iteration block <br/>9.3.3 The model fit block <br/>Classification tables </p><p>Pearson chi-squared </p><p>9.4 Logistic regression diagnostics <br/>9.4.1 Linearity <br/>9.4.2 Influential cases <br/>9.5 Likelihood-ratio test <br/>9.6 Refined models <br/>9.7 Advanced techniques <br/>9.7.1 Probit models <br/>9.7.2 Multinomial logistic regression <br/>9.7.3 Models for ordinal data <br/>9.8 Summary <br/>10 Reading and writing data </p><p>10.1 The goal: The data matrix <br/>10.2 Importing machine-readable data <br/>10.2.1 Reading system files from other packages <br/>10.2.2 Reading ASCII text files <br/>Reading data in spreadsheet format </p><p>Reading data in free format </p><p>Reading data in fixed format </p><p>10.3 Inputting data <br/>10.3.1 Input data using the editor <br/>10.3.2 The input command <br/>10.4 Combining data <br/>10.4.1 The GSOEP database <br/>10.4.2 The merge command <br/>The merge procedure </p><p>Keeping track of observations </p><p>Merging more than two files </p><p>Merging data on different levels </p><p>10.4.3 The append command <br/>10.5 Saving and exporting data <br/>10.6 Handling big datasets <br/>10.6.1 Rules for handling the working memory <br/>10.6.2 Using oversized datasets <br/>10.7 Summary <br/>11 Do-files for advanced users and user-written programs </p><p>11.1 Two examples of usage <br/>11.2 Four programming tools <br/>11.2.1 Local macros <br/>11.2.2 Do-files <br/>11.2.3 Programs <br/>11.2.4 Programs in do-files and ado-files <br/>11.3 User-written Stata commands <br/>11.3.1 Parsing variable lists <br/>11.3.2 Parsing options <br/>11.3.3 Parsing if and in qualifiers <br/>11.3.4 Generating an unknown number of variables <br/>11.3.5 Default values <br/>11.3.6 Extended macro functions <br/>11.3.7 Avoiding changes in the dataset <br/>11.3.8 Help files <br/>11.4 Summary <br/>12 Around Stata </p><p>12.1 Resources and information <br/>12.2 Taking care of Stata <br/>12.3 Additional procedures <br/>12.3.1 SJ and STB ado-files <br/>12.3.2 SSC ado-files <br/>12.3.3 Other ado-files <br/>12.4 Summary <br/>References </p><p>Author index (pdf) </p><p>Subject index (pdf) <br/><br/></p><p><br/></p><br/>

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