Is there any method to prove that there is a U-shape relationship between the GDP and fertility rate without using the squaring approach?.But after squaring the GDP, both values of the coefficient for GDP and GDP^2 are becoming too high, and what shocked me more that the value of the constant becomes too high as well.įertility rate= lagLogGDP + LagX1 + LagX2 + LagX3 Accordingly, I have used a similar method by squaring the GDP and I found it U-shaped as well. And, accordingly, they have used the squared GDP and they found that the relationship is U-shaped. Hence, I have resorted to literature and I found that most of the relationships between the GDP and fertility are negative as well. After running the regression, the sign of the GDP’s coefficient is negative. The GDP is lagged to one year and the independent variables as well. There are many other independent variables in the equation. I am examining the impact of GDP on fertility rate across countries. Input float new_id int v05_idc str25 v05_itm float exp H2(" Prevalence of Menthol use in PATH W1") ///Ĭlab(SE) h1(nil)cibnone ci2col h3(|nonsmokers%|lb|ub|menthol%|lb|ub|nonmenthol%|l b|ub|unknown%|lb|ub|total|observations) cisep(" ")Ĭode: * Example generated by -dataex. Replace f(1p) c(row lb ub) layout(col) svy per npos(col) nlab(Observaciones) /// Tabout both UM_W1_A_cigs_everysome_menthol_1 using "PATH_1.txt", /// Is there a way to use tabout with BRR? Here is a snippet of code: When I use Taylor Series instead it does spit out the SEs, but they are wider than they should be (hence the need to use BRR). However, when I run the tabout command that works for a colleague (his dataset calls for Taylor Series Linearization) it only spits out the point estimates, not the standard errors. I am generating hundreds of tables and would like to use some automated procedure (tabout or putexcel) to help populate the tables. I am analyzing a complex survey (Population Assessment of Tobacco & Health) and need to use Balance Repeated Replication (BRR) for the variance estimation. Input str16 record_id float (all_visits presample_date precollection_yes_no)Īlso just to note my data the date information is actually int I just could not figure out how to get it to run for my examples, but if this changes anything about how the code should be written it would be helpful to know! In this specific instance there is not 1 visit of interest for each record as shown, but if there is any code that could also eventually be applicable if there was more than one date that would be helpful! I want to be able to have a row which says whether the visit date is the visit of interest for each specific patient. I have a column that gives the date of the visit of interest (presample_date) and also a place where all visits are listed (all_visits). For example in the data examples below, I show part of what the data looks like and then what I want. Hello, I am trying to figure out how to create a column that tells me whether or not a specific visit date is the visit of interest.
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