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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.

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 …
maldini1990's user avatar
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 …
maldini1990's user avatar
1 vote
2 answers
61 views

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 …
maldini1990's user avatar
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 …
maldini1990's user avatar
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? …
maldini1990's user avatar
1 vote
1 answer
46 views

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 …
maldini1990's user avatar
0 votes
0 answers
25 views

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 …
maldini1990's user avatar