Should I use GMM or panel ARDL model?

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What is the minimum number of panels to estimate a panel data?

I am currently working on a research by comparing two countries. For each country I have 20 years of data. If I merge the two countries to do regression, could it give me a legitimate panel data?...

01 October 2020 4,915 4 View

Is it necessary to covary exogenous constructs in a structural model?

I am working on a SEM model where i have 7 latent variables (6 exogenous and 1 endogenous). In AMOS when I co-vary the exogenous constructs, only 2 paths are coming significant out of 6. But when...

03 August 2024 6,028 4 View

Bimodal Distribution, Split or Transform for ANOVA?

Hi, I have some experiments where different nutrients/fertilisers (including but not limited to N) were applied to plants. Unsurprisingly the data produced is bimodal. The populations are...

18 July 2024 7,305 1 View

What analysis to use for an dependent variable with repeated measures and a independent variable only measured once?

Hi all, I am trying to use mixed effect model to analyze my data, which including a baseline measurement for my exposure (A), and repeated measurements for the outcome (B). I do have some...

17 July 2024 8,682 3 View

Addressing Multi-Level Factors in Group-Based Trajectory Modelling: Comparison of Methods and the Role of the Flexmix Package?

I'm currently working on a project involving group-based trajectory modelling and am seeking advice on handling multi-level factors within this context. Specifically, I'm interested in...

16 June 2024 8,765 0 View

Generalised Linear Mixed Models Assumptions and Covariate Identification?

Hi everyone. When running a GLMM, I need to turn the data from wide format to the long format (stacked). When checking for assumptions like normality, do I check them for the stacked variable...

12 June 2024 4,517 1 View

Path analysis: Do I control for covariate effects on all endogenous variables (and mediator) or just DV?

I did research and the studies suggest controlling for the effects of covariates on all endogenous variables, including mediator variables, to improve model accuracy and reliability. I want to...

04 June 2024 1,914 3 View

A variable moderating multiple relation - how can I test hypotheses using amos?

How can I analyse the relationship between five independent variables and one dependent variable, with a moderating variable influencing each of these five relationships? How can I test hypotheses...

03 June 2024 6,221 1 View

Can we calculate the covariance between a random variable y and a nonrandom variable x?

Variable x is a controllable, and variable y is a random varialbe. Also, y=b*x+u, and u is a random iterm. So x and y is correlated. But, if we calculate the covariance between x and y, according...

02 June 2024 1,829 3 View

Logistic regression with time varying covariate?

I have two outcome variables: 1- binary 2- repeated measure There is only one independent variable which is time varying covariate Iam looking for the article to write the Stat for: 1-...

01 June 2024 9,890 3 View

Can I run Mixed-effect-logistic regression with only one single outcome variable which is time varying covariate?

Can I run Mixed-effect-logistic regression with only one single outcome variable which is time varying covariate?there is no confounder for the study. or should i have more than one independent...

31 May 2024 873 7 View

Muhammad Ali

The best models for panel data are Regression models:: https://towardsdatascience.com/panel-data-regression-a-powerful-time-series-modeling-technique-7509ce043fa8

Marwa Sahnoun

A correlation between variables can generate endogeneity problems. The GMM method is used in this case to correct such kind of problems using instruments.

Mardin Mahsum Faraj

If time smaller than number of countries,

Umair Khan Khan

Dear,

Please refer to discussion :

Confution in Selection of Methodology for Research (VAR, ARDL, Fixed Random Effects, GMM etc)

you will find your answers