asymmetr information. You then would equally well find articles whose title or abstract contains 'information asymmetry' or 'asymmetric information'
climate changefinds articles that contain the words 'climate' OR 'change'. Search for
"climate change"if you only want to list articles whose abstract or title contains the phrase 'climate change'.
isetc. This will probably return almost all articles since those words (or letter sequences) can be probably be found in almost all abstracts.
IVwill be just matched to upper case when stored as uppercase in our method list even if entered in lower case.
sortby=date, you get the most relevant hits for your search phrases. Try out:
|Keyword||Patterns matched in full texts (leading spaces omitted)|
|ATE||ATE, average treatment effect|
|conditional logit||conditional logit|
|credible interval||credible interval|
|cross validation||cross validation|
|DID||difference-in-difference, DID, DiD, DD, difference in difference, differences-in-difference|
|field experiment||field experiment|
|fixed effect||fixed-effect, fixed effect|
|GMM||GMM, generalized method of moments|
|IV||instrumental variable, instrument|
|lab experiment||laboratory experiment, laboratory study, lab experiment, experimental laboratory|
|LATE||LATE, local average treatment effect|
|machine learning||machine learning|
|MLE||MLE, maximum likelihood|
|multiple testing||multiple testing|
|natural experiment||natural experiment|
|panel data||panel data|
|placebo test||placebo test|
|potential outcome||potential outcome|
|random effect||random effect|
|random forest||random forest|
|RCT||RCT, randomized controlled trial|
|RDD||regression discontinuity, RD|
|synthetic control||synthetic control|
|time series||time series|
|weak instrument||weak instrument|
This is an R Shiny app to search for economic articles that have provided data and code for replication purposes.
The main feature is a keyword search in the article's titles and abstracts. It returns a list with links to the articles on their journal websites and some estimates of the sizes of data files and relevant code files. By default only articles are included that have a data or code supplement.
This can be used e.g. for teaching economics and data science. For example, my students can use the app to find an interesting topic for a Bachelor or Master Thesis in form of an interactive analysis with RTutor .
I also tried to find and extract a README file from each supplement. Most README files explain whether all results can be replicated with the provided data sets or whether some results require confidential or propietary data sets. The link allows you to look at the README without the need to download the whole data set.
The underlying database contains information about articles and data supplements collected for the AEA journals (including the American Economic Review, Journal of Economic Perspectives, AEA Policy, ...), the Review of Economic Studies, and the Review of Economic and Statistics.
There are also smaller samples from the QJE, the JPE,JPE, JEEA, Econometrica and the JAERE. I guess these samples get larger if data availability policies become similar effective as those of the AEA journals.
If you want to analyse yourself the collected data, you can download the zipped SQLite databases using the following links:
If you search for replication studies or want to enter replication studies, take a look at the Replication Wiki or the Institute for Replication. Both sites also feature very helpful collections of links to additional material on replication, in particular, teaching ressources.
You can also check out some interactive replications with an educational focus in form of RTutor problem sets.