A DGP is a mathematical description of reality (in econometrics one seems to often abstract reality to a so called "true DGP"). What I am saying is that stating a DGP seems to allow ambiguity about what statement about reality is actually being made.
What's the DGP in causal inference? Ask Question Asked 5 years, 5 months ago Modified 5 years, 5 months ago
Such understanding is derived from idea to join this two approaches. As I am not strongly convinced to this, I would like to ask: What are the differences and similarities between Population and DGP as the bases of statistical and econometric modelling? And also, relatedly: What is the relation between these two concepts?
I am trying to find a rigorous mathematical definition of a data generating process (DGP) under a well-defined probability space. The closest source I have found on Cross Validated is this one, and...
So, DGP must be precisely the causal mechanism we are interested in, and our SCM encode all we know/assume about the DGP. Read here for more detail about DGP and SCM in causal inference: What's the DGP in causal inference? Now. You, as most econometrics books, rightly invoke exogeneity, that is a causal concept:
How to set up a DGP for Monte Carlo simulation with non-independent regressions (correlated errors) Ask Question Asked 5 years, 3 months ago Modified 1 year, 3 months ago
How to set up a DGP for Monte Carlo simulation with non-independent ...
Population, can be used in statistics in either a literal or an abstract sense. This is also true of many other words in the sciences. I think it is a horrible idea to invent new terminology (especially something as awkward-sounding 'data generating process' with yet another unnecessary acronym DGP) when there is no clear need. Seems a lot of that going around latedly. Maybe I will start ...