When inflation picks up, central banks are most concerned that the de-anchoring of inflation expectations and the ignition of wage-price spirals will trigger inflation dynamic instability. However, such scenarios do not materialize in the standard New Keynesian theoretical framework for monetary...

The resurgence of inflation since the late 2021 is now accompanied by a reversal of prospects of growth, reviving fears of stagflation across the world (IMF 2022, World Bank 2022). In almost all accounts of the mounting stagflation threats a prominent role is played by the fall of households'...

The resurgence of inflation since the late 2021 is now accompanied by a reversal of prospects of growth, reviving fears of stagflation across the world (IMF 2022, World Bank 2022). In almost all accounts of the mounting stagflation threats a prominent role is played by the fall of households'...

We investigate the potential for statistical forecasting of aggregate oil and gas investment on the Norwegian Continental Shelf (NCS). A unique and detailed dataset containing data from 109 different fields on the NCS between 1970 and 2015 was employed. A set of 1080 autoregressive distributed...

The primary motivation behind quantitative modeling in international trade and many other fields is to shed light on the economic consequences of policy changes. To help assess and potentially strengthen the credibility of such quantitative predictions we introduce an IV-based goodness-of-fit...

The primary motivation behind quantitative modeling in international trade and many other fields is to shed light on the economic consequences of policy changes. To help assess and potentially strengthen the credibility of such quantitative predictions we introduce an IV-based goodness-of-fit...

This paper develops a long run growth model for a major oil exporting economy and derives conditions under which oil revenues are likely to have a lasting impact. This approach contrasts with the standard literature on the Dutch disease and the resource curse, which primarily focus on short run...

This paper applies component-wise boosting to the topic of regional economic forecasting. Component-wise boosting is a pre-selection algorithm of indicators for forecasting. By using unique quarterly real gross domestic product data for two German states (the Free State of Saxony and...

This paper looks into the ’fine print’ of boosting for economic forecasting. By using German industrial production for the period from 1996 to 2014 and a data set consisting of 175 monthly indicators, we evaluate which indicators get selected by the boosting algorithm over time and four...

Well known CPI of urban consumers is never revised. Recently initiated chained CPI is initially released every month (ICPI), for that month without delay within BLS and for the previous month with one month delay to the public. Final estimates of chained CPI (FCPI) are released every February...