Survival analysis is statistical technique that uses longitudinal data to model the process that allows an individual or firm to survive to a particular point in time. Despite a large number of studies that use survival analysis to model the duration of time that precedes financial distress,...

Analysis of time series and panel data is a very large area of methodology. In this brief presentation of these classes of models, I am exchanging depth for breadth in an attempt to point particular types of models that may need to investigate further in doing empirical work.

An alternative to the Proportional Hazards Model (PHM) called the Inverse Proportional Hazards Model (IPHM) is proposed for the regression modelling of censored data and it is shown that it shares the desirable properties of PHM such as - easy estimation, - no model for the underlying hazard is...