We propose to impute missing components in panels or entire waves in time series of cross
sections. An “optimal matching” procedure is proposed to infer would-be multiple …

Pseudo-panels allow estimation of panel models when only repeated cross-sections are
available. This involves grouping individuals into cohorts and using the cohort means as if …

In many countries there is a lack of genuine panel data where specific individuals or firms
are followed over time. However, repeated cross-sectional surveys may be available, where …

Panel data are constructed through survey conducted at several points in time using the
same cross section units. A panel consists of a set of multiple entities from which information …

Panel data models are widely used by researchers. In practice, it is frequently the case that
researchers may encounter missing observations in the collected data. One common source …

The term panel data is used in econometrics to refer to data sets with repeated observations
for a given cross-section of units. Units can be persons, households, firms, countries,..., and …

In this paper I use panel data to identify and estimate spillover effects when the underlying
network is sparse and unobserved. The outcome of each entity depends on its own …

The multiplication of individual specific effects, and time-specific effects, provides a more
general formulation than the traditionally used additive form to capture the unobserved …

In this paper, we analyze a dynamic panel probit model with two flexible latent effects: first,
unobserved individual heterogeneity that is allowed to vary in the population according to an …

Panel data are repeated observations on the same cross section unit, typically of individuals
or firms (in microeconomic applications), observed for several time periods. The use of panel …