am studying just one country and my data are annually, is GMM appropriate for the analysis
very interested
I suggest you read through some discussions on small-dataset time series analysis since with the usual suspect models you might overfit:
https://stats.stackexchange.com/questions/135061/best-method-for-short-time-series
Yes . you can.
I want to amplify a 3.8kb GC rich DNA for sequencing and cloning. I need a polymerase enzyme that will do a good job. Please help.
31 October 2016 7,898 5 View
I like to preserve some bacteria culture using stab culture technique but I like to know if I need to add more sodium chloride to my normal LB broth which contains 5g/L of sodium chloride
31 August 2016 7,271 3 View
I used a TOPO TA kit which contained a linearized vector of 3.9kb to ligate my DNA of about 3.8kb. After transformation and plating on LB agar containing X-GAL I got quite a number of white...
06 August 2016 9,851 3 View
Hi all Can I run a Gmm model with a time series dependent variable? I have a sample of 12 countries and years from 2000 to 2018
03 February 2021 6,491 6 View
I'm trying to find the effect of smart cities on sustainable development. I collected data for several indicators of smartness of a city for 15 cities over 12 years. seems like panel data (GMM...
12 January 2021 9,914 5 View
Dear all, Could you recommend macroeconomic studies (hopefully published in good journals) that use system GMM or Arellano-Bond estimators? Thanks a lot!
10 December 2020 5,130 4 View
I first conducted a fixed effect model using xtreg y x, fe and I found that all the variables are significant and R-squared is .51. So I thought that maybe I should use two step system GMM to...
07 October 2020 5,386 3 View
I run OLS regression on panel data in Eviews and then 2SLS and GMM regression. I introduced all the independent variables of OLS as instrumental variables. I am getting exacty same results under...
05 April 2020 4,683 1 View
The Gaussian Mixture Model with Universal Background Model (GMM-UBM) takes individual class training data to train the GMM and uses all training data or different dataset to build the UBM. In this...
03 March 2020 260 3 View
Collapsing instruments in a system GMM model is useful in treating the problem of instrument proliferation. However, the instructions given to xtabond2 of Stata suggest that "In large samples,...
11 January 2020 4,738 3 View
While analyzing a linear relation, GMM produces insignificant results for the main IV in a quadratic regression model. Though the signs of the coefficients' are valid, the results are...
10 November 2019 399 5 View
The conventional test for the system GMM is 1) testing for instrument validity and 2) test for second order serial autocorrelation. Are there pre-estimation tests that may be relevant i.e...
09 October 2019 9,938 6 View
I have a dataset and trying to apply soft clustering, preferably Multivariate Gaussian Mixture model, but I have following doubts : 1. Does Multivariate GMM assume the underlying data to follow...
30 July 2019 6,266 4 View