# Search results

1. ### How to run a censored regression if the dependent variable is calculated based on censored data?

Hello everyone, The situation is the following: I have a dataset with 200 assets. For each one, I have a unique price range that the asset can be priced in. The price range specifies an upper and a lower limit. The expected price (Pexpected) of the asset is the average of the upper and the...
2. ### Interpretation of my results (Significance varies a lot)

Thanks a lot for your fast reply! I am aware that the interpretation should be based on the estimate and not on the p-value. I quickly plotted the development of the estimate (Y-axis) and the corresponding days from the policy implementation (X-axis). My hypothesis was that the...
3. ### Interpretation of my results (Significance varies a lot)

Hi, I have a problem with the interpretation of my results from a multiple linear regression. I want to evaluate the impact of a policy change (X) on an economic indicator (Y) and have included various covariates in the regression (6). The policy change occurred in 2015 and I have data from...
4. ### Does local linear regression include a weighting Kernel?

Any other opinions?
5. ### Does local linear regression include a weighting Kernel?

That's what I thought as well. However, there is one source that states: "The parametric approach tries to pick the right model to fit a given data set, while the non-parametric approach tries to pick the right data set to fit a given model" "In the simplest terms, this strategy (local linear...
6. ### Does local linear regression include a weighting Kernel?

Hey, I am applying a Regression Discontinuity Design (RDD) to estimate the effect of a policy change. In RDD I can apply the parametric approach (polynomial regression) and the non-parametric approach (local regression). The parametric approach is clear to me and also the basic idea of the...
7. ### Regression Discontinuity Design

Thank you for the answer. I am aware that Regression Discontinuity Design is a semi-experimental method. However, I am still wondering how the application itself (so the regression equation) differs from a regression with a dummy variable? I am aware that the underlying idea of RDD is different...
8. ### Regression Discontinuity Design

Hey, I am new here and hope that you can help me with my questions as I cannot find an answer myself. For a paper I am working on, I did some research about Regression Discontinuity Design. I was wondering what exactly the difference to a simple dummy variable is? For example, if I have a...