Questions tagged [causality]

The relationship between cause and effect.

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SVAR causal interpretation: shock effects vs effects between variables

Consider a structural vector autoregressive (SVAR) model. One way to define a SVAR model is $$ \begin{aligned} B_0 y_t = B_1 y_{t-1} + \cdots + B_p y_{t-p} + \omega_t \quad (1) \ , \end{aligned} $$ ...
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Quantifying treatment effect in multivariate interrupted time series

I have a multivariate time series dataset, from which I am building an ITS (Interrupted Time Series) model by using facebook's Prophet to construct the counterfactual. Let's say I have a y variable ...
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Staggered difference-in-difference for binary outcome and time-to-outcome

I am trying to find out the effect of a training program for employees by answering 2 questions: Does taking training increase the probability of an employee getting promoted? Does taking training ...
yunchan's user avatar
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Trade-off between "extent of controls" and "quasi-experimental"

I apologize in advance for a long and possibly misworded question. I am trying to get to something but I am not exactly sure how to explain it. Hopefully, you can bear with me and provide me with some ...
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Professors Salary vs Alumni Earning: is the relation causal?

Elyase İskender posted in his blog an interesting plot correlating Professors Salary and Alumni Earnings Relation in US Universities. Is there a good way to establish causality here? Did the highest ...
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Heterogeneous treatment effects with two post-treatment time and without never-treated groups

I am trying to evaluate a policy with staggered policy time (the policy was implemented in two different years), and there are no never-treated groups. The data (four-time period, highly unbalanced - ...
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Can I test Granger causality in cyclical components?

I want to test Granger causality test in cyclical components of GDP and private credit, obtained with Christiano-Fitzgerald filter in annual growth rates of quarterly data. The main purpose is to find ...
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What type of econometrics is practised most?

This might sound like a weird question, but what type of econometrics is most common in academia and / or the private sector? Here I am thinking about time series econometrics (Bayesian and ...
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One Treated Unit That Becomes Untreated

Suppose I have a set of units $n_i, i = 1,...,N$. One unit was receiving a treatment $n_j = 1$ at times $t=1$ to $t=\tau$. All other units never received the treatment so $\forall t, n_i=0,i\neq j$. ...
random's user avatar
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Difference in Regression Discontinuity Estimates

Suppose I run a regression discontinuity design (RDD) for two different samples - say, separately for regions A and B of the same country. I get RDD estimates that are statistically significant in ...
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Partial least square structural equation modeling

The Partial least square structural equation modeling (PLS-PM, PLS-SEM) method to structural equation modeling allows estimating complex cause-effect relationship models with latent variables. This ...
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Regression and RDD give results in opposite directions but both statistically significant

I am conducting an RDD on an attitude and how it shifts over time due to a shock (sharp RD measured in days), I am using RDROBUST in STATA. I do not think I have coding errors but I need help ...
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Cross sectional survey - difference in difference campaign evaluation

I would like to use two cross sectional surveys to evaluate the impact of a media campaign on public opinions. The problem is how to identify the "untreated" at baseline? Technically ...
macster's user avatar
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Behavioral responses of tax policy on labour supply ( first time doing Difference in Differences)

I am trying to estimate the causal effects of the The Working Income Tax Benefit (WITB) on the labour supply of married women in Canada. The WITB is essentially equivalent to the EITC. I am looking at ...
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How will Coronavirus affect Social Security solvency?

The Coronavirus (known by younger millennials as the "Boomer Plague") is estimated to have a cost of life between 100,000 - 240,000 Americans. According to the CDC approximately 80% of deaths ...
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Causal Interpretation of $\beta_1$ with a Dummy explanatory variable

Suppose you run a regression (over the entire sample) of hourly earnings $Y$ with an intercept and a binary variable $D$, where $D$ takes on a value of $1$ if the individual has a college degree and $...
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Where to find a list of U.S. policy changes for causal studies?

I'm currently trying to figure how the topic of my paper, which is supposed to be related to policy evaluation (causal inference). I thought it would be great if I could first obtain a list of recent ...
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