One of the strongest leading indicators of economic activity is the number of people who file for unemployment benefits. Macroeconomists Robert Gordon and James Hamilton have recently examined the historical evidence. According to Hamilton's summary: "... in each of the last six recessions, the...

Predictions of whether newly unemployed individuals will become long-term unemployed are important for the planning and policy mix of unemployment insurance agencies. We analyze unique data on three sources of information on the probability of re-employment within 6 months (RE6), for the same...

We analyze unique data on three sources of information on the probability of re-employment within 6 months (RE6), for the same individuals sampled from the inflow into unemployment. First, they were asked for their perceived probability of RE6. Second, their caseworkers revealed whether they...

This study focuses on the crucial task of forecasting tax revenue for India, specifically the Goods and Services Tax (GST), which plays a pivotal role in fiscal spending and taxation policymaking. Practically, the GST time series datasets exhibit linear and non-linear fluctuations due to the...

In this work the precision and stability of the forecasts of Chile's unemployment rates are analyzed. Said models were obtained by a family of SARIMA (Seasonal Autoregressive Integrated Moving Average) models, between February 1986 and February 2010. The SARIMA projections are compared with the...

The identification of the business cycle turn points is a challenging task. In this context, the evolution of new data typologies as internet searches data strongly impacted the construction of approaches practical to forecast macroeconomic variables. This work emphasizes the significance of...