Exposure to ambient pollutants at concentrations above defined standards is a risk factor for respiratory symptoms, especially in sensitive children.Many studies have been undertaken to monitor air quality and to assess its association with respi ratory symptoms.We propose a joint mixed effects regression model of time series measures and recurrent events to analyze the air quality and respiratory symptom data from the Yale Mothers and Infants Health Study.Three mothers symptoms (runny nose, cough, and sore throat) and three infants symptoms (runny nose, cough, and general sickness) were investigated.To alleviate the computational com plexity, a two-stage maximum likelihood based estimation procedure is introduced to estimate the parameters, and simulation studies are conducted to assess the validity of this estimation procedure.Our analysis reveals differences in the etiology of res piratory symptoms between mothers and infants.Most notably, coarse particles of mass between 2.5 and 10 microns in diameter incrcased the risks of mothers runny nose and cough symptoms, but had no significant impact on any of the three infants symptoms.The sulfate level was negatively associated with the risk of infants runny nose and cough symptoms, but had no significant effects on any of the three mothers symptoms.High level of humidity is negatively associated with the mothers cough incidence, but had no significant association on any of the three infants symptoms.Such differcnces reveal not only the sensitivity of the mothers and infants to the air quality, but also call for further understanding of the differences.It is possible that actions taken to overcome humidity by mothers may inadvertently affect the infants.