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A Stata Press PublicationStataCorp
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iTable of contentsStata basics1 Rea
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iii8.2 The return message for obtai
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v14 Matrix expressions . . . . . .
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vii18.11.6 Writing online help . .
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ix25.2.15 Treatment of empty cells
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Stata basics1 Read this—it will h
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4 [ U ] 1 Read this—it will helpA
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6 [ U ] 1 Read this—it will helpW
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8 [ U ] 1 Read this—it will helpW
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14 [ U ] 1 Read this—it will help
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16 [ U ] 1 Read this—it will help
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18 [ U ] 1 Read this—it will help
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20 [ U ] 1 Read this—it will help
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22 [ U ] 1 Read this—it will help
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24 [ U ] 1 Read this—it will help
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26 [ U ] 1 Read this—it will help
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28 [ U ] 1 Read this—it will help
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30 [ U ] 1 Read this—it will help
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32 [ U ] 1 Read this—it will help
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34 [ U ] 1 Read this—it will help
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36 [ U ] 2 A brief description of S
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38 [ U ] 2 A brief description of S
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40 [ U ] 3 Resources for learning a
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42 [ U ] 3 Resources for learning a
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44 [ U ] 3 Resources for learning a
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46 [ U ] 3 Resources for learning a
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[ U ] 4.3 help: Stata’s help syst
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52 [ U ] 4 Stata’s help and searc
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54 [ U ] 4 Stata’s help and searc
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56 [ U ] 4 Stata’s help and searc
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58 [ U ] 5 Flavors of Stata5.2 Stat
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60 [ U ] 5 Flavors of StataThe diff
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62 [ U ] 6 Setting the size of memo
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64 [ U ] 6 Setting the size of memo
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66 [ U ] 6 Setting the size of memo
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68 [ U ] 6 Setting the size of memo
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8 Error messages and return codesCo
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[ U ] 8.2 The return message for ob
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76 [ U ] 9 The Break key9.2 Side ef
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78 [ U ] 10 Keyboard usesave is the
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80 [ U ] 10 Keyboard use10.4 Editin
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82 [ U ] 10 Keyboard useAnother met
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11 Language syntaxContents11.1 Over
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[ U ] 11.1 Overview 8711.1.2 by var
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[ U ] 11.1 Overview 89. summarize m
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- Page 105 and 106: 11.1.7 options[ U ] 11.1 Overview 9
- Page 107 and 108: [ U ] 11.1 Overview 9511.1.8 numlis
- Page 109 and 110: [ U ] 11.2 Abbreviation rules 97by
- Page 111 and 112: [ U ] 11.3 Naming conventions 99The
- Page 113 and 114: [ U ] 11.4 varlists 101You may use
- Page 115 and 116: [ U ] 11.4 varlists 103Consider a v
- Page 117 and 118: [ U ] 11.4 varlists 105Here are som
- Page 119 and 120: [ U ] 11.4 varlists 107You can sele
- Page 121 and 122: [ U ] 11.4 varlists 109. use http:/
- Page 123 and 124: [ U ] 11.5 by varlist: construct 11
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- Page 127 and 128: [ U ] 11.6 File-naming conventions
- Page 129 and 130: 12 DataContents12.1 Data and datase
- Page 131 and 132: [ U ] 12.2 Numbers 119. display 2/0
- Page 133 and 134: [ U ] 12.2 Numbers 121Technical not
- Page 135 and 136: [ U ] 12.4 Strings 12312.4 StringsA
- Page 137 and 138: [ U ] 12.5 Formats: Controlling how
- Page 139 and 140: [ U ] 12.5 Formats: Controlling how
- Page 141 and 142: [ U ] 12.5 Formats: Controlling how
- Page 143 and 144: [ U ] 12.6 Dataset, variable, and v
- Page 145 and 146: [ U ] 12.6 Dataset, variable, and v
- Page 147 and 148: [ U ] 12.6 Dataset, variable, and v
- Page 149 and 150: [ U ] 12.6 Dataset, variable, and v
- Page 151 and 152: [ U ] 12.8 Characteristics 139You c
- Page 153: [ U ] 12.10 References 141The Varia
- Page 157 and 158: [ U ] 13.2 Operators 145Example 3Th
- Page 159 and 160: 13.2.5 Order of evaluation, all ope
- Page 161 and 162: 13.5.1 Single-equation models[ U ]
- Page 163 and 164: [ U ] 13.6 Accessing results from S
- Page 165 and 166: [ U ] 13.7 Explicit subscripting 15
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- Page 169 and 170: [ U ] 13.9 Time-series operators 15
- Page 171 and 172: 13.11 Precision and problems therei
- Page 173 and 174: 14 Matrix expressionsContents14.1 O
- Page 175 and 176: [ U ] 14.2 Row and column names 163
- Page 177 and 178: [ U ] 14.2 Row and column names 165
- Page 179 and 180: [ U ] 14.2 Row and column names 167
- Page 181 and 182: [ U ] 14.4 Inputting matrices by ha
- Page 183 and 184: [ U ] 14.7 Matrix operators 171matr
- Page 185 and 186: [ U ] 14.9 Subscripting 17314.9 Sub
- Page 187 and 188: 15 Saving and printing output—log
- Page 189 and 190: [ U ] 15.1 Overview 177. type sessi
- Page 191 and 192: 15.2 Placing comments in logs[ U ]
- Page 193 and 194: 16 Do-filesContents16.1 Description
- Page 195 and 196: [ U ] 16.1 Description 183When runn
- Page 197 and 198: [ U ] 16.1 Description 185Example 2
- Page 199 and 200: [ U ] 16.1 Description 187. do myjo
- Page 201 and 202: 16.3 Creating and running do-files[
- Page 203 and 204: [ U ] 16.4 Programming with do-file
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16.5 ReferencesBaum, C. F. 2009. An
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196 [ U ] 17 Ado-files17.2 What is
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198 [ U ] 17 Ado-files17.5.1 Where
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200 [ U ] 17 Ado-filesWhat to do ne
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202 [ U ] 18 Programming StataStata
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204 [ U ] 18 Programming Stata1. Wr
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206 [ U ] 18 Programming Stata18.3.
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208 [ U ] 18 Programming StataGloba
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210 [ U ] 18 Programming Stata(assu
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212 [ U ] 18 Programming StataAnoth
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214 [ U ] 18 Programming StataThus
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216 [ U ] 18 Programming Stataat th
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218 [ U ] 18 Programming StataOpera
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220 [ U ] 18 Programming Statavarna
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222 [ U ] 18 Programming StataEquiv
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224 [ U ] 18 Programming Stata‘va
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226 [ U ] 18 Programming Statagetto
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228 [ U ] 18 Programming Stata18.7.
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230 [ U ] 18 Programming StataAltho
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232 [ U ] 18 Programming Stata3. Es
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234 [ U ] 18 Programming StataThe r
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236 [ U ] 18 Programming Statae(F)
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238 [ U ] 18 Programming Stataand s
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240 [ U ] 18 Programming Stata18.11
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242 [ U ] 18 Programming Stata18.11
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244 [ U ] 18 Programming Statabegin
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246 [ U ] 18 Programming Statabroke
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248 [ U ] 18 Programming StataYou c
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250 [ U ] 18 Programming StataOptio
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252 [ U ] 18 Programming Stata9. Op
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19 Immediate commandsContents19.1 O
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[ U ] 19.1 Overview 257The immediat
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20 Estimation and postestimation co
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[ U ] 20.1 All estimation commands
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[ U ] 20.2 Standard syntax 263. use
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[ U ] 20.4 Cataloging estimation re
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[ U ] 20.6 Specifying the estimatio
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[ U ] 20.8 Obtaining the variance-c
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[ U ] 20.9 Obtaining predicted valu
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[ U ] 20.9 Obtaining predicted valu
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[ U ] 20.10 Accessing estimated coe
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[ U ] 20.10 Accessing estimated coe
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[ U ] 20.11 Performing hypothesis t
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[ U ] 20.11 Performing hypothesis t
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[ U ] 20.13 Obtaining nonlinear com
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[ U ] 20.14 Obtaining marginal mean
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[ U ] 20.14 Obtaining marginal mean
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[ U ] 20.14 Obtaining marginal mean
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[ U ] 20.14 Obtaining marginal mean
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[ U ] 20.14 Obtaining marginal mean
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[ U ] 20.15 Obtaining conditional a
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[ U ] 20.16 Obtaining robust varian
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[ U ] 20.16 Obtaining robust varian
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[ U ] 20.16 Obtaining robust varian
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[ U ] 20.17 Obtaining scores 303We
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[ U ] 20.18 Weighted estimation 305
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20.18.2 Analytic weights[ U ] 20.18
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[ U ] 20.18 Weighted estimation 309
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✄✂[ U ] 20.20 References 311Hal
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Advice21 Inputting data . . . . . .
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21 Inputting dataContents21.1 Overv
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[ U ] 21.2 Determining which input
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[ U ] 21.2 Determining which input
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[ U ] 21.3 If you run out of memory
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[ U ] 21.6 Reference 323If the data
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326 [ U ] 22 Combining datasetsAlso
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328 [ U ] 23 Working with strings.
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330 [ U ] 23 Working with strings23
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332 [ U ] 24 Working with dates and
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334 [ U ] 24 Working with dates and
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336 [ U ] 24 Working with dates and
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338 [ U ] 24 Working with dates and
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340 [ U ] 25 Working with categoric
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342 [ U ] 25 Working with categoric
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344 [ U ] 25 Working with categoric
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346 [ U ] 25 Working with categoric
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348 [ U ] 25 Working with categoric
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350 [ U ] 25 Working with categoric
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352 [ U ] 25 Working with categoric
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354 [ U ] 25 Working with categoric
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356 [ U ] 25 Working with categoric
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358 [ U ] 26 Overview of Stata esti
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360 [ U ] 26 Overview of Stata esti
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362 [ U ] 26 Overview of Stata esti
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364 [ U ] 26 Overview of Stata esti
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366 [ U ] 26 Overview of Stata esti
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368 [ U ] 26 Overview of Stata esti
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370 [ U ] 26 Overview of Stata esti
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372 [ U ] 26 Overview of Stata esti
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27 Commands everyone should knowCon
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28 Using the Internet to keep up to
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[ U ] 28.3 Official updates 379Afte
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[ U ] 28.3 Official updates 3812. I
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28.3.6 Updating both ado-files and
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[ U ] 28.4 Downloading and managing
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[ U ] 28.5 Making your own download
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Subject and author index 389Subject
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Subject and author index 391encode
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Subject and author index 393margins
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Subject and author index 395standar