![]() ![]() ![]() Second you can choose to put all the paths you need in a separate do-filewhich you would invoke at the beginning of every other do-file. ![]() We propose here three different solutions.įirst you can write the paths in the beginning of your do-file and con-catenate them so that only one part of the path, say the shared drive, hasto be adjusted. You shouldrather write a do-file that easily adjusts and only requires the main pathsto be changed. So try something like this loop which looks for the maximumlevel of memory possible ranging from 1000m to 1500m :ġ set more off2 set maxvar 100003 set matsize 30004 forvalue i=1000(1)1500 ġ the latest version of Stata (starting with Stata 12), memory adjustments are per-Ģ.2 How to harmonize paths towards other do-files/datasets?When working on several computers or in collaboration, it is always painfulto readjust the different file paths to suit your own folders. or you thought that was it, while youjust did not provide the maximum space possible to your Stata program2.The trick consists in increasing your memory requests in relatively smallincrements. Else handling data downloaded from the website1 may require toadjust the lines of code provided here, but one has to keep those steps inmind even if some of them may be tackled directly via the on-line interface.Ģ What you may not know about Stata2.1 How to load a dataset easily?If you ever tried to load large datasets, you may have reached several timesthe limit of your computers power. The following lines of code are to be run in Stata and suit perfectly theBankscope dataset as obtained through the DVD provided by the Bureauvan Dijk. We only shed light on the most crucialissues you are likely to face. Nonetheless, keepin mind that Bankscope is likely to introduce changes in each new releasesof the database (change in variables name as well as changes in the contentof variables) so that this technical document should be viewed as a guidefor exploring Bankscope by yourself. We hope that you will find this memouseful, else we apologize in advance for wasting your time. The codes providedhere can be run directly using Stata. We intend to provide the basic arrangementthat need to be completed before actually starting using your Bankscopedataset failing to do so may result in wrong outcomes and raise unnecessarycriticism on behalf of your fellow students/researchers. Bankscope is a database reporting balance sheetstatements of more than 30 000 worldwide financial institutions which isprovided by Bureau van Dijk. 21ġ IntroductionAfter facing several issues while handling the Bankscope dataset, we decidedto share our experience. 214.5 How to handle differences in programming languages with 204.3 How to handle the over-representation of some regions?. ![]() 204.2 How to handle this unbalanced dataset?. 20Ĥ Tips 204.1 How to handle mergers and acquisitions?. 123.3 How to get comparable time series?. 4ģ Working with an homogeneous dataset 63.1 How to handle duplicates?. 32.2 How to harmonize paths towards other do-files/datasets?. E-mail de Contrle Prudentiel et de Rsolution and Paris School of Economics.Ģ What you may not know about Stata 32.1 How to load a dataset easily?. If you found this material useful, pleaseconsider including it in your reference list.Banque de France and Paris School of Economics. We thank Alessan-dro Barattieri and Claire Celerier for valuable discussion that helped us to improve thisdocument. This isa preliminary version which should be enriched or modified further. We accessed the dataset via the license granted to Banque de France agents. Keywords : Bankscope dataset, joint work with Stata, duplicates, con-solidation, mergers, unbalanced, comparability. To that extent, we propose some straightforward waysto deal with data comparability, consolidation, duplication of assets ormergers, and provide Stata codes to deal with it. This technical paper intendsto provide the critical issues one has to keep in mind as well as thebasic arrangements which have to be undertaken if one intends to usethis dataset. The Bankscope dataset is a popular source of bank balance sheetinformations among banking economists, which covers the last 20 yearsfor more than 30 000 worldwide banks. Bankscope dataset: gettingstartedDuprey ThibautL Mathiasįirst version : December 20, 2012.This version : January 15, 2015 ![]()
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