We use administrative data on federal civilian workers' accounts in their employer-provided defined contribution plan, called the thrift savings plan (TSP), to provide new evidence on the effects of employer matching and defaults on workers' savings behavior. The empirical analysis relies on exogenous variation stemming from two natural experiments caused by policy changes to the TSP: the establishment of an employer match for workers hired after 1983 and the introduction of automatic enrollment for workers hired after July 2010. We find that the introduction of the employer match lead to a higher increase in both participation and contribution rates compared to the subsequent switch to automatic enrollment. In terms of portfolio allocations, we find that matching and automatic enrollment had small and minimal effects, respectively.

The Covid-19 pandemic has put forecasting under the spotlight, pitting epidemiological models against extrapolative time-series devices. We have been producing real-time short-term forecasts of confirmed cases and deaths using robust statistical models since 20 March 2020. The forecasts are adaptive to abrupt structural change, a major feature of the pandemic data due to data measurement errors, definitional and testing changes, policy interventions, technological advances and rapidly changing trends. The pandemic has also led to abrupt structural change in macroeconomic outcomes. Using the same methods, we forecast aggregate UK unemployment over the pandemic. The forecasts rapidly adapt to the employment policies implemented when the UK entered the first lockdown. The difference between our statistical and theory based forecasts provides a measure of the effect of furlough policies on stabilising unemployment, establishing useful scenarios had furlough policies not been implemented.

The UK faces a number of economic challenges in the short to medium term. Prior to COVID-19, renegotiation of trading arrangements with the European Union was the most prominent of these. We build on existing macroeconomic analysis by assessing prospects for the UK’s regions generated by combining a global macroeconometric model and a regional computable general equilibrium of the UK. A central macroeconomic scenario shows a national average annual GDP growth rate of 1.7 per cent to 2044. When the macroeconomic scenario is applied across regions, growth rates range from 1.6 per cent for Cambridge to 2.2 per cent for Pembrokeshire; the standard deviation is low at 0.07 per cent and the coefficient of variation is 0.04 per cent. In contrast, much wider variation is observed in the standard deviation for exports (0.36 per cent), investment (0.11 per cent) and consumption (0.14 per cent). The country results favour Scotland, which grows at an annual rate of 1.8 per cent, whereas Wales is the slowest growing of the countries at 1.7 per cent. Consistent with the macroeconomic analysis, international trade is the most important contributor to the regional variation in growth rates. We also analyse the effects of higher government consumption relative to the forecasts and find most regions are predicted to experience lower economic activity except the handful in which government consumption is a much higher share of GDP than average.

Exchange rate fluctuations have been particularly large since mid-2014, displaying divergent developments across the period. The nominal effective exchange rate of the dollar has appreciated by 15 per cent since June 2014, masking a 25 per cent appreciation to December 2016 followed by a depreciation of 8 per cent. Changes in the euro have turned positive after being negative. This article attempts to measure the impact of currency changes on domestic activity, accounting for the source of fluctuations. More specifically, by using the multi-country structural model NiGEM, we show that different types of exchange rate shocks can have different macroeconomic outcomes. Focusing on the period from January 2017 to February 2018, we show that the depreciation of the dollar, stemming mostly from changes in sentiment in foreign exchange markets, would in fact have been detrimental to US growth. A weaker currency, in this particular case, turned out to be no recipe for stronger growth. Similarly, the appreciation of the euro, triggered by a fall in the risk premium of the currency, may have been positive for growth. There are caveats to the exercise, but the results are nonetheless consistent with previous research pointing to the importance of the nature of the exchange rate shocks in estimating their impact on prices and growth.

The central question of this paper is how international trade and specialization are affected by different designs of pension schemes and asymmetric demographic changes. In a model with two goods, two countries and two production factors, we find that countries with a relatively large unfunded pension scheme will specialize in the production of labour intensive goods. If these countries are hit by a negative demographic shock, this specialization will intensify in the long run. Eventually, these countries may even completely specialize in the production of those goods. The effects spill over to other countries, which will move away from complete specialization in capital intensive goods as the relative size of their labour intensive goods sector will also increase.

Responding to the challenges of demographic ageing, the German system of old-age provision has undergone substantial changes during the past two decades and is in fact still under reconstruction. Benefit levels deriving from the public pay-as-you-go scheme will decline until 2060, while contribution rates may still go up substantially. Additional cover from private or occupational pension schemes is urgently needed. Thus far, steps in this direction have been half-hearted. The continuing crisis in financial markets and a more profound distrust in financial institutions and market-based instruments of old-age provision currently create obstacles to progress with this overhaul. Nevertheless, despite the differing traditions, Germany could learn important lessons now from other developed countries that have longer experience of funded pensions.

This note examines labour market performance across countries through the lens of Okun's Law. We find that after the 1970s but prior to the global financial crisis of the 2000s, the Okun's Law relationship between output and unemployment became more homogenous across countries. These changes presumably reflected institutional and technological changes. But, at least in the short term, the global financial crisis undid much of this convergence, in part because the affected countries adopted different labour market policies in response to the global demand shock.

This paper studies the dynamic properties of the labour demand model with non convex adjustment costs proposed by Bentolila and Bertola [1990]. With this model we evaluate the importance of the firing costs, following a great shock, for the dynamics of adjustment of the aggregated labour demand of a stationary state to an other. The model is calibrated on the French economy, and studies the transition following the shock of 1973-74,–i.e. a shock on the price of oil as well as the transition from a rapid and stable growth to a slow and uncertain one. We show that in this case, a drastic reduction of the firing costs when the shock occurs does not allow to modify substantially the path of the economy.