This is pretty handy because you can eyeball the matches straight away and check whether the weights you defined have done a good job.
#Merge stata code
The code adds a capital “U” to the beginning of each of the Using dataset variables. To merge two data sets in Stata, first sort each data set on the key variables upon which the merging will be based. The scores are in the 0-1 range and one means exact matches.ĭifferently from Stata’s merge, the resulting dataset will include all the variables from both datasets.
Additionally, it creates a variable that contains the matching scores for the merged observations. This will allow the code to display the matches in terms of ids as well. To use reclink you also have to create ids in each dataset and feed them into the options idm() and idu(). For example, in the code below I want to merge the datasets based on make and foreign, but I know the mismatches are in the variable make, so I give a large weight (10) to it and only 2 to foreign. A nice feature is that you can use more than one identifier variable and give weights to each of them. It uses record linkage methods to match identifiers in the two datasets.
#Merge stata series
Say, for example, you have your time series data with years 1900-2000, containing variables on a variety of measures, named yearly. It means that we have many observations in the dataset that is active in Stata, and want to add on data from a smaller number of. 2 Merging Data More often than needing to append data, you’ll want to merge data. Stata has a nice user written command called reclink built for this purpose. that yearly1 did not have, then Stata would create those variables for yearly1 and set them all to missing. No matter what type of data you are merging (cross section or panel data or time series) you need some type of identifier variable in both fi. Think about languages that use diacritical marks and you have a complete mess. I am assuming you are using Stata 11 or 12 or 13 and that you are conversant with Stata terminologies. String variables often come with typos, different spelling, etc. I work with messy administrative data and very often have to merge datasets by people’s or cities’ names.
#Merge stata download
If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.įor technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. You can help adding them by using this form. form from past Stata versions (the command above), datasets are merged based on. We have no bibliographic references for this item. dataset, the general purpose of merge is to add variables to existing. Multiple regression (an extension of simple linear regression) is used to predict the value of a dependent variable (also known as an outcome variable) based on the value of two or more independent variables (also known as predictor variables).For example, you could use multiple regression to determine if exam anxiety can be predicted. Assuming that we have data3 open from running the above syntax, that will be our master dataset. Multiple Regression Analysis using Stata Introduction. It also allows you to accept potential citations to this item that we are uncertain about. The merge command merges corresponding observations from the dataset currently in memory (called the master dataset) with those from a different Stata-format dataset (called the using dataset) into single observations. This allows to link your profile to this item. If you have authored this item and are not yet registered with RePEc, we encourage you to do it here.
#Merge stata how to
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