@TechReport{iza:izadps:dp14106,
            	author={Gaggero, Alessio and Gil, Joan and Jiménez-Rubio, Dolores and Zucchelli, Eugenio},
            	title={Health Information and Lifestyle Behaviours: The Impact of a Diabetes Diagnosis},
            	year={2021},
	month={Feb},
            	institution={Institute of Labor Economics (IZA)},
            	address={Bonn},
            	type={IZA Discussion Paper},
            	number={14106},
            	url={https://www.iza.org/index.php/publications/dp14106},
	abstract={We estimate short- and long-term causal impacts of a type-2 diabetes mellitus (T2DM) diagnosis on lifestyle behaviours. We employ a fuzzy regression discontinuity design exploiting the exogenous cut-off value in the diagnosis of T2DM provided by a biomarker (glycated haemoglobin, HbA1c). We make use of unique administrative longitudinal data from Spain and focus on the impact of a diagnosis on clinically measured BMI, smoking and alcohol consumption. We find that, following a T2DM diagnosis, individuals appear to reduce their weight in the short-term. These effects are particularly large among obese individuals and those diagnosed with depression. Patients who are younger, still in the labour market and healthier also present increased short-term probabilities of quitting smoking. In addition, we provide evidence of statistically significant long-term impacts of a T2DM diagnosis on BMI up to three years from the diagnosis. Our results are consistent across parametric and non-parametric estimations with varying bandwidths. Overall, our findings suggest the relevance of health information in affecting changes in key lifestyle behaviours.},
	keywords={regression discontinuity design;lifestyle behaviours;health information;diabetes;administrative data},
            }