5. The following question concern this key table from the paper by Phillip Verwimp entitled "Machetes and Firearms: The
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5. The following question concern this key table from the paper by Phillip Verwimp entitled "Machetes and Firearms: The Organization of Massacres in Rwanda". Gender age OF-farm 1157 060 018 Table VI. Accounting for Type of Weapon Used Variable Madd Mode 2 Individual and Age 0329 0302 19.86) (8.31) Age -0004 -0003 (-9.52) Gender (-7.57) -1958 056 (-1.66) (0.46) --0072 (-3.88) -3.10) .7065 65.69) Days after April 6 (6.70) 0522 (1729) Days after April 64 (7.42) - 0005 (-12.96) Gender" days after (-5.15) Gender"days after sq. (1.49) --0017 -0007 4-6.32) (-3.02) Come and mediummies Massacre 2.191 Gisov 1.124 6078 (6.81) Gishyata (3.53) 1.1417 1408 (738) Kivumu (0.89) 1.5108 .9590 Mabana (6.01) 3.152 23064 (20.94) Mwendo (14.98) 5%65 0.35) Rwamatamu 2.398 26472 (16.21) Constant (17.42) 4.851 -5.060 (-28.85) (-29.35) N 23.650 21.536 not weighted not weighted not clustered 程 not clustered 0.11 0.20 Log likelihood -10.57796 8.930,64 ignificant at the 1% lord.gifcant at the level significant at the 10% levd. -alues in parenthe a. According to model 1 what is the probability that a Rwandan victim with the following characteristic was killed with a firearm: 20 years old, male, On- farm, April 8, Rwamatamu commune? (5 marks)
b. How much does your answer to part a. change if we switch from On-farm to Off-farm? (5 marks) c. Is the change in the probability of being killed by a firearm associated with changing from On-farm to Off-farm always the same, regardless of the other characteristics of the victim? Explain very briefly why or why not. (5 marks)
5. The following question concern this key table from the paper by Phillip Verwimp entitled "Machetes and Firearms: The Organization of Massacres in Rwanda". Gender age OF-farm 1157 060 018 Table VI. Accounting for Type of Weapon Used Variable Madd Mode 2 Individual and Age 0329 0302 19.86) (8.31) Age -0004 -0003 (-9.52) Gender (-7.57) -1958 056 (-1.66) (0.46) --0072 (-3.88) -3.10) .7065 65.69) Days after April 6 (6.70) 0522 (1729) Days after April 64 (7.42) - 0005 (-12.96) Gender" days after (-5.15) Gender"days after sq. (1.49) --0017 -0007 4-6.32) (-3.02) Come and mediummies Massacre 2.191 Gisov 1.124 6078 (6.81) Gishyata (3.53) 1.1417 1408 (738) Kivumu (0.89) 1.5108 .9590 Mabana (6.01) 3.152 23064 (20.94) Mwendo (14.98) 5%65 0.35) Rwamatamu 2.398 26472 (16.21) Constant (17.42) 4.851 -5.060 (-28.85) (-29.35) N 23.650 21.536 not weighted not weighted not clustered 程 not clustered 0.11 0.20 Log likelihood -10.57796 8.930,64 ignificant at the 1% lord.gifcant at the level significant at the 10% levd. -alues in parenthe a. According to model 1 what is the probability that a Rwandan victim with the following characteristic was killed with a firearm: 20 years old, male, On- farm, April 8, Rwamatamu commune? (5 marks)
b. How much does your answer to part a. change if we switch from On-farm to Off-farm? (5 marks) c. Is the change in the probability of being killed by a firearm associated with changing from On-farm to Off-farm always the same, regardless of the other characteristics of the victim? Explain very briefly why or why not. (5 marks)