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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
1
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2
answers
61
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Testing for statistical correlation using textual data
I have sub-reddit data that shows total monthly mentions of collective action amongst the unemployed individuals using the sub-reddit of interest, and another variable that shows whether the month fal …
1
vote
1
answer
75
views
Using cross-sectional data for OLS/logit models
My goal is to use OLS regression to predict average sentiment, based on individual-level covariates which are all measured at the username-level. … Currently, I ran the OLS model as follows:
regress avg_sentiment avg_response collective_action_prop economic_demand_prop
However, I am not sure if I am correctly running the OLS regression at the username-level …
0
votes
0
answers
25
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Fine-tuning naive bayesian model for text classification (multi-categorical outcomes)
I have a dataset of thousands of reddit posts on economic issues in the U.S. We selected a random sample of 40% of total posts where each post contained a "Blame" indicator with three possible values …
1
vote
1
answer
41
views
Computing correlation between two variables (regression)
I only have 34 observations (i.e. periods) so I assume I can't run a regression analysis, correct? …
2
votes
1
answer
2k
views
Synthetic control method based on several treated units
I am trying to causally evaluate an impact of a specific labor policy that was implemented in three U.S. states. I wonder if constructing a synthetic/artificial control method (SCM) for those states m …
4
votes
2
answers
296
views
Correcting for attrition in panel data
I have a dataset of online Reddit posts for unemployed individuals in two neighboring U.S. states, where unemployed workers in a given state received higher unemployment insurance UI benefits than the …
1
vote
1
answer
46
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Changes in the pre vs. post-treatment behavior of control group
I have survey data that tracks self-reported emotions at the individual-level for observations in two groups before and after a targeted cash distribution program is introduced. The measure of intere …