Field Experiments: Design, Analysis, and Interpretation

Below, please find a compilation of links to data and code from Alan Gerber and Donald Green’s Field Experiments: Design, Analysis, and Interpretation (2012), published by W. W. Norton & Company.

Chapter 2

Page Number File(s)
23 Simulation of Table 2.1 code (.R)
23 Table 2.1 data (.csv)
31 Table 2.2 data (.csv)
37 Randomization Data (.RData) & Randomization Code (.R)

Chapter 3

Page Number File(s)
53 Table 3.1 data (.csv)
65 Box 3.7 data (.csv) & Box 3.7 code (.R)
68 Table 3.2, In-Text Example data (.csv) & Table 3.2, In-Text Example data (.dta)
69 Table 3.2 data (.csv)
74 Table 3.3 data (.csv)
75 Figure 3.1 code (.R)
76 Table 3.4 data (.csv)
78 Table 3.5 data (.csv)
81 Table 3.6 data (.csv)
82 Table 3.7 data (.csv)
84 In-Text ACORN data (.csv) & In-Text ACORN data (.dta) & In-Text ACORN code (.R)
87 Exercise 3.5 data (.csv) & Exercise 3.5 data (.dta) 
88 Exercise 3.6 data (.csv)
88 Exercise 3.8 data (.csv) & Exercise 3.8 data (.dta)
90 Exercise 3.9 data (.csv) & Exercise 3.9 data (.dta)

Chapter 4

Page Number(s) File Name(s)
100 Table 4.1 data (.csv)
101 and 113 Figures 4.1 and 4.2 code (.R)
99 and 113 Figures 4.1 and 4.2 output data (.csv) & Figures 4.1 and 4.2 output data (.dta)
113 Figure 4.2 output-block data (.csv) & Figure 4.2 output-block data (.dta) 
113 Figure 4.2 output-block-weak data (.csv) & Figure 4.2 output-block-weak data (.dta)
118 Table 4.2 data (.csv)
119 Figure 4.3 code (.R)
100 and 118 Tables 4.1 and 4.2 combined data (.csv) & Tables 4.1 and 4.2 combined data (.dta)
123 Exercise 4.2 data (.csv) & Exercise 4.2 data (.dta)
125 and 126 Exercises 4.4 and 4.5 data (.csv) & Exercises 4.4 and 4.5 data (.dta)
126 Exercise 4.6 data (.csv) & Exercise 4.6 data (.dta)
128 Exercise 4.9 data (.csv) & Exercise 4.9 data (.dta)
130 Exercise 4.10 data (.csv) & Exercise 4.10 data (.dta)

Chapter 5

Page Number(s) File(s)
140 Table 5.1 data (.csv)
147 and 156-158 Boxes 5.4, 5.5, 5.6 data (.csv) & Boxes 5.4, 5.5, 5.6 code (.R)
170 Exercise 5.10 data (.csv) & Exercise 5.10 data (.dta)

Chapter 6

Page(s) File(s)
176 and 185 In-Text Example and Table 6.2 data (.csv)
181 Table 6.1 data (.csv)
186-188 Boxes 6.3, 6.4, and 6.5 code (.R)
196 Table 6.4 data (.csv) & simulated data (.csv) & simulated data (.dta)
197 Table 6.5 code (.do)
199 Box 6.6 code (.R)
201 Footnote 19 data (.dta) & Footnote 19 code (.R)
208 Exercise 6.10 data (.csv) & Exercise 6.10 data (.dta)

Chapter 7

Page(s) File(s)
217 Table 7.1 data (.csv)
223 Table 7.2 data (.csv)
230-232 Tables 7.4 and 7.5 data (.dta, .tab)
232-233 Box 7.1 and Table 7.5 code (.R)
239 Table 7.6 code (.R)
242 Table 7.7 data (.csv)
245 Exercise 7.6 data (.dta, .tab) 

Chapter 8

Page(s) File(s)
254 Table 8.1 data (.csv)
262 Table 8.2 data (.csv)
262 Table 8.3 data (.csv)
265, 268, and 271 Figures 8.2, 8.3, and 8.4 code (.R)
266 and 269 Tables 8.4 and 8.5 data (.csv) & Tables 8.4 and 8.5 data (.dta)
275 Table 8.6 data (.csv)
278 Table 8.7 data (.csv)
279 Table 8.8 data (.csv)
280 Table 8.9 data (.csv)
286 Exercise 8.9 data (.csv)
286 Exercise 8.9c data (.csv)
286 Exercise 8.10 data (.csv) & Exercise 8.10 data (.dta)

Chapter 9

Page(s) File(s)
295 Figure 9.1 code (.R)
295 Figure 9.1 data (.dta)
304 Table 9.1 data (.csv)
307 In-Text Example data (.dta) & In-Text Example code (.R)
308 Equation 9.19 code (.do)
309 Table 9.2 data (.csv)
314 Exercise 9.6 data (.csv) & Exercise 9.6 data (.dta)
315 Exercise 9.7 data (.csv) & Exercise 9.7 data (.dta)
315 Exercise 9.8 data (.csv) & Exercise 9.8 data (.dta) 
316 Exercise 9.9 data (.csv) & Exercise 9.9 data (.dta)

Chapter 10

Page(s) File(s)
326 Table 10.1 data (.csv)
339 Exercise 10.3 code (.R)
339 Exercise 10.4 data (.csv) & Exercise 10.4 data (.dta)
342 Exercise 10.9 data (.csv) & Exercise 10.9 data (.dta)

Chapter 11

Page(s) File(s)
355 Figure 11.1 code (.R)
362 In-Text Example data (.csv) & In-Text Example data (.dta)
363 In-Text Example data (.csv) & In-Text Example (.dta)
366 Figures 11.2 and 11.3 data (.csv) & Figures 11.2 and 11.3 data (.dta)
369 and 372 Figures 11.2 and 11.3 code (.R)
373 Table 11.2 data (.csv)
374-375 Table 11.3 data (.csv)
380 Exercise 11.8(a) data (.csv)
380 Exercise 11.8(b) and 11.9 data (.csv)

Chapter 12

Page(s) File(s)
388 Table 12.2 data (.csv)
389 Table 12.3 data (.csv)
390 Table 12.4 data (.csv)
391 Table 12.5 data (.csv)
401 Table 12.7 data (.csv)
411 Table 12.8 data (.csv)
421 Exercise 12.11 data (.csv) & Exercise 12.11 data (.dta) 

Chapter 13

Page(s) File(s)
437-438 Boxes 13.1 and 13.2 code (.R)
437-438 Boxes 13.1 and 13.2 data (.csv) & Boxes 13.1 and 13.2 data (.dta)
445 Example 13.1 data (.csv) & Example 13.1 data (.dta)

Appendix

Files
Chapter 7
Chapter 8
Chapter 9 Extreme Value Bounds for Binary Outcomes
Chapter 9 RI for Multiple Comparisons
Chapter 10
Figure 4.3
Chapter 13

Data sets for examples are distributed in comma delimited form; some are distributed in Stata for convenience of Stata users. Stata is a licensed product.

To use R files, you will need to install R on your computer. R is a freely available language and environment for statistical computing.

An R package, ri (Aronow and Samii 2012), has been made available on CRAN to implement many functions described in the book. It may be installed in R using the command ‘install.packages(“ri”)’.