A researcher is interested in identifying and estimating the causal effect of conc usage on venereal disease at the high school level. The researcher uses a simple model to determine the effectiveness of condom usage on reducing sexually transmitted diseases among sexually active high school students (1) infrate=Bo+B1conuse+B2percmale +B3avginc+B4city+u1, where infrate is the percent of sexually active students who have contracted venereal disease, conuse is the percentage of boys who claim to regularly use condoms, avginc is average family income, and city is a dummy variable indicatin whether a school is in a city; the model is at the school level. The city has randor gifted free condoms in high schools to students. Denote Z as the fraction of stuc that accepted the condom gift at the school level. If Z is highly related statisticall with conuse then it could be used as since its random assignment would ensure that it is an instrumental variable; a redundant variable in equation (1) O an instrumental variable; a relevant variable in equation (1) Oa proxy variable: a redundant variable in equation (1) O control variable; a relevant yariable in eguation (1)

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1
A researcher is interested in identifying and estimating the causal effect of condom
usage on venereal disease at the high school level. The researcher uses a simple
model to determine the effectiveness of condom usage on reducing sexually
transmitted diseases among sexually active high school students
(1) infrate=Bo+B1conuse+B2percmale
+B3avginc+B4city+u1,
where infrate is the percent of sexually active students who have contracted
venereal disease, conuse is the percentage of boys who claim to regularly use
condoms, avginc is average family income, and city is a dummy variable indicating
whether a school is in a city; the model is at the school level. The city has randomly
gifted free condoms in high schools to students. Denote Z as the fraction of students
that accepted the condom gift at the school level. If Z is highly related statistically
with conuse then it could be used as
since its random assignment
would ensure that it is
an instrumental variable; a redundant variable in equation (1)
an instrumental variable; a relevant variable in equation (1)
Oa proxy variable: a redundant variable in equation (1)
O control variable; a relevant variable in equation (1)
Transcribed Image Text:A researcher is interested in identifying and estimating the causal effect of condom usage on venereal disease at the high school level. The researcher uses a simple model to determine the effectiveness of condom usage on reducing sexually transmitted diseases among sexually active high school students (1) infrate=Bo+B1conuse+B2percmale +B3avginc+B4city+u1, where infrate is the percent of sexually active students who have contracted venereal disease, conuse is the percentage of boys who claim to regularly use condoms, avginc is average family income, and city is a dummy variable indicating whether a school is in a city; the model is at the school level. The city has randomly gifted free condoms in high schools to students. Denote Z as the fraction of students that accepted the condom gift at the school level. If Z is highly related statistically with conuse then it could be used as since its random assignment would ensure that it is an instrumental variable; a redundant variable in equation (1) an instrumental variable; a relevant variable in equation (1) Oa proxy variable: a redundant variable in equation (1) O control variable; a relevant variable in equation (1)
The population
districts, and so forth) from which the samples are to be_-----
is the population of entities (people, companies, school
The population
is the population of entities to which the causal inferences from the
study are to be
studied; applied; of interest; applied
O studied; applied; of interest; drawn
of interest; drawn; studied; applied
O studied; drawn; of interest; applied
Transcribed Image Text:The population districts, and so forth) from which the samples are to be_----- is the population of entities (people, companies, school The population is the population of entities to which the causal inferences from the study are to be studied; applied; of interest; applied O studied; applied; of interest; drawn of interest; drawn; studied; applied O studied; drawn; of interest; applied
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