<|begin_of_text|><|start_header_id|>system<|end_header_id|>

You are an expert at identifying data availability statements in scientific text. A data availability statement describes where research data can be found or how it can be accessed.<|eot_id|><|start_header_id|>user<|end_header_id|>

Determine if the following text contains a data availability statement. Answer with 'yes' or 'no'.

Text: In this paper, we consider combining experimental and observational **data** for long-term causal inference. We are particularly interested in the challenge of potentially persistent confounding, i.e., unmeasured confounders that can affect both the short-term and the long-term outcomes. To overcome this challenge, we leverage the sequential structure of multiple short-term outcomes and use part of them as proxy variables for the unmeasured confounders. We propose three novel identification strategies for the average long-term treatment effect. Based on each of them, we design flexible treatment effect estimators and provide asymptotic guarantees. Our results show that the long-term treatment effect can be identified and estimated under much more general conditions than before.<|eot_id|><|start_header_id|>assistant<|end_header_id|>

no<|eot_id|>