We use high-frequency Google search data, combined with data on the announcement dates of non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic in U.S. states, to isolate the direct impact of state-level NPIs on own-state unemployment in an event study framework. Exploiting the...

Ex ante evaluation of policy reform proposals in general relies either on microsimulation models or computable general equilibrium (CGE) models. This paper describes how the Centre of European Economic Research (ZEW) has merged two established models - the so-called STSM and PACE-L models – in...

In response to the COVID-19 pandemic two new timely poverty measures have been developed to monitor fast-changing economic conditions for the most deprived. The Han et al. near real-time poverty measure uses responses to a global income question on the Monthly Current Population Survey (CPS)...

Iran has long had one of the highest rates of birth by Caesarean section (C-section) in the world. In 2014, the Iranian Ministry of Health and Medical Education (MHME) created substantial financial incentives discouraging the use of C-sections in public hospitals, by increasing physician...

This report uses estimates from the Congressional Budget Office to project an unemployment scenario for the Pandemic Recession. We go on to use detailed unemployment and homeless data from the 2008 Great Recession to estimate the linkage between unemployment and homelessness and forecast the...

This paper analysed the effect of the relation of the household head to the migrant amongst 10 villages on the remittance determinants and their socioeconomic impacts of remittance receiving households in rural Bangladesh. Using micro-economic data from a survey conducted in 2013, statistical...

This paper presents the microsimulation models developed at the Banco de España for the study of fiscal reforms, describing the tool used to evaluate changes in the Spanish personal income tax and also the one for the value added tax and excise duties. In both cases the structure, data and...

We examine the consequences of underreporting of transfer programs in household survey data for several prototypical analyses of low-income populations. We focus on the Current Population Survey (CPS), the source of official poverty and inequality statistics. We link administrative data for food...

We take a structural approach to assessing the empirical importance of shocks to the supply of bank-intermediated credit in affecting macroeconomic fluctuations. First, we develop a theoretical model to show how credit supply shocks can be transmitted into disruptions in the production economy....

This study assesses the impact of the quality of bankruptcy data on the estimation and evaluation of bankruptcy prediction models. To meet this objective, we develop a systematic methodology to obtain bankruptcy information from corporate news releases and public sources. Then, applying this...