This paper presents a novel framework to estimate the elasticity between nighttime lights and quarterly economic activity, and provides the first set of estimates for the recent VIIRS nighttime light data. The relationship is identified by accounting for varying degrees of measurement errors in...

This paper presents a novel framework to estimate the elasticity between nighttime lights and quarterly economic activity. The relationship is identified by accounting for varying degrees of measurement errors in nighttime light data across countries. The estimated elasticity is 1.55 for...

This paper seeks to illuminate the uncertainty in official GDP per capita measures using auxiliary data. Using satellite-recorded nighttime lights as an additional measurement of true GDP per capita, we provide a statistical framework, in which the error in official GDP per capita may depend on...

This paper seeks to illuminate the uncertainty in official GDP per capita measuresusing auxiliary data. Using satellite-recorded nighttime lights as an additional measurementof true GDP per capita, we provide a statistical framework, in which the error inofficial GDP per capita may depend on the...

This paper presents a novel framework to estimate the elasticity between nighttime lights and quarterly economic activity. The relationship is identified by accounting for varying degrees of measurement errors in nighttime light data across countries. The elasticity is 1.55 for emerging markets...

This paper develops a new approach to estimating the degree of informality in an economy. It combines direct yet infrequent measures of the informal economy in micro data with an augmented factor model that links macro indicators of the informal economy to its causes. We show that the prevailing...

Inflation has risen sharply in Cyprus, initially driven by imported prices, but increasingly broadening to domestic prices. A Phillips Curve estimate attributes the high inflation largely to energy prices, external price pressures, and inflation expectations at the end of 2022. Historically high...

This paper reviews recent developments in nonparametric identi.cation of mea- surement error models and their applications in applied microeconomics, in particular, in empirical industrial organization and labor economics. Measurement error models describe mappings from a latent distribution to...

This paper presents a novel self-report approach to identify a general causal model with an unobserved covariate, which can be unobserved heterogeneity or an unobserved choice variable. It shows that a carefully designed noninvasive survey procedure can provide enough information to identify the...