STATA 11 for Windows SAMPLE SESSION - Food Security Group ...

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Stata 11 Sample Session Section 2 – Restructuring Data Files – Table Lookup & Aggregation Exercise 2.1 Produce similar output using calories retained (production minus sales) instead of calories produced. It will show calories retained per adult equivalent per day from the total of the same six food crops. The output should be broken down by district and calories retained quartile. Hints: a. The procedure is very similar to the work that we just completed. Open a new do-file to save your commands for this exercise. b. Sales come from c-q5.dta. c. Check the file for the appropriate variable for the quantity of sold production. Note that the product codes are the same as for c-q4.dta. Also check for the variables by which to sort. d. You can start from a blank file and build all the commands necessary to produce the calories retained, or you can copy the commands used to generate the table from section 2 and adjust the commands as necessary to calculate the calories retained. Changes must be made for file names and variables. e. Computing the calories sold involves the same basic steps as computing the calories produced. (Step 1). Average calories sold should be 1,407,493 f. Merge this newly created file, (the file containing calories sold), with the file containing calories produced, hh-file3.dta. Check the _merge variable (tab _merge) and explain why you see a value of (2) and a value of (3). g. Keep in mind that only 257 households sold products, but all 343 households produced and retained calories. If the “calories sold” variable is missing, it means the household did not sell food, so it should be recoded to zero. h. Compute calories retained = calories produced - calories sold. The average calories retained per adult equivalent for the whole population should be 3044.261 i. Rank into quartiles. j. Use the Tabulate command to show calories retained by district and quartile. k. Save the data file to the name, hh-file4.dta. l. Save the contents of the do-file editor to a new name reflecting the name of the exercise. Below is an example of the output you should produce: 86
Stata 11 Sample Session Section 2 – Restructuring Data Files – Table Lookup & Aggregation ______________________________________________________________________________ -> district = monapo, quarts = 1 Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- cret_ae | 28 1171.714 420.7546 224.4898 1806.867 ______________________________________________________________________________ -> district = monapo, quarts = 2 Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- cret_ae | 27 2239.088 199.4202 1888.33 2554.892 ______________________________________________________________________________ -> district = monapo, quarts = 3 Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- cret_ae | 27 3343.003 461.9159 2685.971 4303.122 ______________________________________________________________________________ -> district = monapo, quarts = 4 Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- cret_ae | 27 7619.101 3557.135 4359.737 20873.97 ______________________________________________________________________________ -> district = ribaue, quarts = 1 Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- cret_ae | 30 1251.391 358.8783 429.2929 1790.432 ______________________________________________________________________________ -> district = ribaue, quarts = 2 Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- cret_ae | 30 2171.697 205.3644 1835.298 2566.006 ______________________________________________________________________________ -> district = ribaue, quarts = 3 Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- cret_ae | 30 3165.192 330.2283 2578.604 3731.045 ______________________________________________________________________________ -> district = ribaue, quarts = 4 Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- cret_ae | 29 5828.97 1632.9 3825.879 9464.901 ______________________________________________________________________________ -> district = angoche, quarts = 1 Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- cret_ae | 29 929.4182 388.3228 207.9077 1395.962 ______________________________________________________________________________ -> district = angoche, quarts = 2 Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- cret_ae | 29 1718.789 166.1601 1447.059 1984.059 ______________________________________________________________________________ -> district = angoche, quarts = 3 Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- cret_ae | 29 2442.247 347.8035 1997.711 3063.996 ______________________________________________________________________________ -> district = angoche, quarts = 4 Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- cret_ae | 28 5022.29 2443.454 3134.742 12674.86 87
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STATA 11 for Windows SAMPLE SESSION - Food Security Group ...

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