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the pathmodel seperately and generate a scales for occupation for each regression separately, like in the example below. The logic behind this procedure is explained in the appendix of the following working paper:http://home.fsw.vu.nl/m.buis/wp/distmare.html. You might want to experiment wit...
In order to perform the likelihood ratio test we will need to run both models and make note of their final log likelihoods. We will run the models using Stata and use commands to store the log likelihoods. We could also just copy the likelihoods down (i.e., by writing them down, or...
The methodology presented above refers to data collection. The method for data analysis is shortly described in the lines that follow. With this aim, the logistic regression model is summarized. For some models, the dependent variable is usually a dummy one with values 1 if an event occurs and...
Why reprex? Getting unstuck is hard. Your first step here is usually to create a reprex, or reproducible example. The goal of a reprex is to package your code, and information about your problem so that others can run it…
I use STATA. I’ve imputed data before, but it’s been a long while. I’m looking to impute data that I just acquired, because it’s missing too high of a percentage. I will also use dummy variables. Thank you for clarifying that dummy variables should be created before imputation. ...
However, sustainable actions require a minimum banking penetration to generate the needed trust. People need to know of banking services to appreciate banks’ socially sustainable practices. In other words, MNBs can only create trust by social actions through banking presence in the developing country...
In 2010, the European Commission set out the development of an economy based on knowledge and innovation as one of the priorities of its Europe 2020 strate
The constructed variable instrument using Altonji and Shakotko's (1987) method to instrument firm experience is designed to capture the time-invariant (mis)match effects between an individual and a firm. This error can spill over to the estimation of other correlated variables, i.e., industry ...
The panel data were estimated using the firthlogit, melogit and meprobit commands in Stata 17. To deal with endogeneity, we follow the approach of Brandão and Schoneveld (2021) and treat household income as exogenous to the decision to participate in CF. This is because, during the data ...