Choose an example
Nine models solved, estimated or simulated in Dynare. Each one leads to a different route; the numbers are Dynare's own output.
Prepare data for estimation
A CSV of quarterly time series, one column per series (for example real GDP, the GDP deflator and a policy rate). The tool checks each series, proposes the transformation that matches a model variable, and writes the data file and the Dynare lines for estimation. The model itself is solved and estimated in Dynare, on your own computer.
Drop a CSV file here, or
Trending series are turned into quarterly growth rates in percent: 100·Δlog for levels (GDP, prices), 100·Δ for series already in logs. Series without a trend (inflation, interest rates) are kept in levels. All observables are demeaned, so the model's steady state does not have to match the sample means. The file is analysed on your own device and is not uploaded anywhere.
Format example: us_small.csv (growth rates already computed) or us_levels.csv (log levels).
Answer from what you know
Start from what the model is for. The tool points to the model class, the Dynare commands and the checks.
Nine routes to a finished paper
Each guide takes one model through the Dynare file, the solution checks, the results and the text for the paper, with the .mod file, real Dynare output and figures.