All Questions
14 questions from the last 30 days
6
votes
1
answer
127
views
Is there a way to forecast by subgroup without forecasting each subgroup separately?
I am trying to find an appropriate model to forecast the number of applications received at the end of a recruitment cycle based on previous recruitment cycles and the number of applications received ...
4
votes
2
answers
41
views
Accounting for non-independence and autocorrelation in HGAM
I am currently trying to fit a HGAM to model differences in daily activity patterns of fish in two treatments. Data were collected with high-resolution telemetry, and I currently have estimates of ...
- 105
8
votes
0
answers
77
views
+50
Why don't we typically worry about stationarity in panel data models with fixed effects?
Why don't we typically worry about stationarity in panel data models with fixed effects?
In time series analysis, stationarity is often a crucial assumption. However, I've noticed that in applied ...
- 239
3
votes
1
answer
46
views
Calculate marginal effects for random effects model with two crossed random effects
I am trying to get effects marginal of two crossed random effects (using STAN or brms). I understand how to do it for a single random effect following McElreath's book and Kurtz's brms version of the ...
1
vote
0
answers
50
views
Opposite results using Bayesian (STAN) vs Multilevel model (nlme). How is this possible?
My datasets contains the median wages and the cumulative installed wind-capacity for 4000 counties over a period of 20 years. The wages tend to rise over the period and the capacity tends to highly ...
- 11
1
vote
2
answers
30
views
Should I conduct a multilevel for this or another analysis? Need help
I have three sources of data (teachers, parents and students) assessing students, in three waves. I want to assess all and see the differences between moments but then I also want to use variables for ...
0
votes
0
answers
23
views
Fixed effect in cross-border discontinuity approach: include both county fixed effect and state border fixed effect?
The cross-border discontinuity approach in concern uses state-wide events that are introduced into states in a staggered manner and involves county-level GDP as the dependent variable. I am wondering ...
- 1
0
votes
0
answers
18
views
How to Forecast Sales for Sub-Locations Without Historical Proportion Data?
I have a time series dataset of total sales for a product in a store over time. This product is available in two different locations within the store: one stand near the checkout and another stand in ...
0
votes
0
answers
22
views
Derive gamma-parameters from preset R^2 in mixed models
For a simulation study in R, I want to select the effect sizes according to a preset $R^2$.
Consider this two level random intercept mixed model, with one L1 predictor $X_{ij}$ and one L2 predictor $...
- 153
0
votes
0
answers
15
views
Panel regression model with market share as dependent variable
The data set consists of different variables from different banks during 6 years. I want to understand how these variables correlate with market share. The problem is that market share is a zero-sum ...
-1
votes
0
answers
8
views
what happens when a network has low closeness centrality - what happens to nodes on the periphery [closed]
I have thirty-nine nodes with closeness centrality scores but I do not know what to say about the nodes on the periphery who do not have scores.
0
votes
0
answers
9
views
How to Test and Implement Industry and Year Fixed Effects vs. POLS in Panel Data Analysis?
I am new to econometric modelling.
I am working with panel data spanning 8 years, including 155 units (REITs) distributed across 8 different industries. I aim to apply industry fixed effects and year ...
- 1
0
votes
0
answers
19
views
Differences-in-differences where the treatment affects the sensitivity to another variable
I have a case where agents respond to a variable $X$, such that
$$y_t = \beta^{P,T} X_t + \varepsilon_t $$
$\beta^{P, T}$ can differ for the treated ($T = 1$) and untreated groups, and also the post-...
0
votes
0
answers
9
views
Extracting individual level posterior class memebership probabilities in multilevel LCA
I am conducting a multilevel laten class analysis using the R package multilevLCA.
I have fitted the model using multiple steps (i.e. determining optimal number of classes as well as clusters). I now ...
- 1