You can that manual, but you could probably do it in a loop. > > But don't expect -zinb- to have any special knowledge of time series. > > Nick > n.j.cox@durham.ac.uk > > Jung-eun Lee > > Stata won't allow lagge
2. STATA FILES You can import stata files to R via foreign package through the following command. # Activate the `foreign` library library(foreign) # Read Stata data into R mydata <- read.dta("") 3. SYSTAT FILES You can import Systat files to R via foreign package through the followin...
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…
Energy intensity EI The energy input necessary to generate 1 unit of GDP based on purchasing power parity (PPP). WDI Renewable energy consumption RE % of total final energy consumption WDI Gross domestic product (GDP) GDP GDP per capita (constant 2015 US$) WDI Globalization Index GI Index (...
to the supplier’s ability to generate productive knowledge from exchanges with the customer. CIC provides a useful platform for the supplier to receive coaching on the tacit needs of the market. Yet increases in CIC beyond an optimal level create deleterious challenges for interfirm learning (Cui...
When you specify timevar, you may then use Stata's time-series operators such as L. and F. (lag and lead) in other commands. The operators will be interpreted as lagged and lead values within panel. The storage types of both panelvar and timevar must be numeric, and both variables ...
conditionality per se. Specifically, we utilize a compound instrumental variable design over a system of three equations to address sources of endogeneity related to, first, the IMF participation decision and, second, the conditions included within the program. In Monte Carlo simulations, we ...
Therefore, we take the proportion of renewable energy generation (LnGenerate) as a proxy variable for energy structure to analyze the moderating effect of energy structure on the effect of EV sales on CO2 emissions. Specifically, we construct the interaction term (LnEV × LnGenerate) between the...
Generalized linear mixed model with robust errors was used to examine the influence of factors such as such as time of day and day of week of the call on the likelihood of talking to an individual on the phone. Recruiting individuals Univariate and multivariate logistic regression (Stata9.2; ...
Unlike fake reviews, which represent an intentional deception of buyers, our study aims to show how a deliberate anthropomorphic design of chatbots to collect customer reviews might generate unintended negative side effects in the form of inflated product ratings. Given that online sellers often experi...