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Or, why has the US done so well. Part of it's immigration. From Goldman Sachs "Upgrading Our GDP and Payrolls Forecasts to Reflect Elevated Immigration (Walker)" released yesterday: Recent studies suggest that Census data used for the household survey of the employment report understated immigration in 2023. We estimate that immigration was 1½mn above the […]

This paper separates macroeconomic shocks into external and domestic aggregate demand and supply shocks in European Union's post-transition countries. Small open economies are typically very responsive to external shocks. The standard decomposition into aggregate demand and supply shocks covers up important information on the sources of business cycle fluctuations. Using a Bayesian SVAR model with combined sign and block exogeneity restrictions, we separately estimate external and domestic aggregate supply and demand shocks for GDP growth and inflation. We find that domestic shocks were a dominant source of fluctuations during the transition period in Croatia from 1992 to 2000. However, external shocks increased their importance with the trade and financial sector liberalization after 2000, becoming the dominant source of fluctuations with the Global financial crisis in 2008. In the short run, fluctuations are best explained by domestic shocks in 9 out of 11 analyzed countries, especially domestic supply shocks. However, in the medium run, fluctuations are dominantly explained by external aggregate demand shocks in 8 out of 11 countries. We argue that common sources of fluctuations in the medium run are beneficial for common monetary policy in the Eurozone.

The aim of the paper is to examine the similarity of responses of the economies of Central and Eastern Europe countries to the shocks in euro area and response observed in the group of countries that adopted common currency. The study used time series of quarterly GDP values and inflation rate. Data were extracted from the Eurostat database for the period from 1st quarter 1998 to 1st quarter 2014. The methodology of the research was based on a structural model of vector autoregression (SVAR) and shock decomposition was carried out using the Blanchard and Quah approach. The results obtained show a relatively strong correlation between the responses of the examined countries and the euro area to demand disturbances, with the highest coefficients for the Czech Republic and Poland. In the case of supply shocks, the correlation coefficients achieved a lower level, while the best adjustment of the response to the euro area disturbances was observed in Poland and Hungary.

Abstract
We provide quantitative predictions of first-order supply and demand shocks for the US economy associated with the COVID-19 pandemic at the level of individual occupations and industries. To analyse the supply shock, we classify industries as essential or non-essential and construct a Remote Labour Index, which measures the ability of different occupations to work from home. Demand shocks are based on a study of the likely effect of a severe influenza epidemic developed by the US Congressional Budget Office. Compared to the pre-COVID period, these shocks would threaten around 20 per cent of the US economy's GDP, jeopardize 23 per cent of jobs, and reduce total wage income by 16 per cent. At the industry level, sectors such as transport are likely to be output-constrained by demand shocks, while sectors relating to manufacturing, mining, and services are more likely to be constrained by supply shocks. Entertainment, restaurants, and tourism face large supply and demand shocks. At the occupation level, we show that high-wage occupations are relatively immune from adverse supply- and demand-side shocks, while low-wage occupations are much more vulnerable. We should emphasize that our results are only first-order shocks—we expect them to be substantially amplified by feedback effects in the production network.

The equity premium in the UK has risen significantly since the start of the financial crisis and the associated extended recession. This paper examines the relationship between the business cycle and equity returns to see how robust this association is. Using official business cycle dating and identified structural macroeconomic shocks, evidence is found for counter‐cyclicality in excess returns. Negative supply shocks are found to have an especially large and significant counter‐cyclical impact. A long sample of realized returns using revised data and a sample of expected returns using real‐time data show similar results suggesting similarity in realized and expected returns.