Estimating technology performance improvement rates by mining patent data

•Patent data can be used to predict yearly technology improvement rates reliably.•Monte Carlo cross-validation backcasting chooses the most reliable predictor.•The centrality of cited patents in the citation network is the most reliable predictor.•Patent centrality accounts for 64% of the variance of technology improvement rates.•Managers and policy makers can use this method to support long-term planning.