Churchill as Chancellor of the Exchequer (1924–9) and the return to the gold standard

The general election of 29 October 1924 saw Winston Churchill return to Parliament as Constitutionalist MP for Epping after two years in the political wilderness. It also saw Stanley Baldwin swept back to Number 10 on a Conservative landslide. Speculation about whether Baldwin would cement Churchill’s drift from the Liberal fold by offering him office surfaced during the election campaign. Churchill nevertheless thought ‘it very unlikely that I shall be invited to join the Government, as owing to the size of the majority it will probably be composed only of impeccable Conservatives’. [ 1 ] Because of his anti-socialist credentials, his ability to reassure wavering Liberals through his opposition to protectionism – dropped by Baldwin after its rejection in the 1923 general election – and concern he could prove a rallying point for backbench malcontents, there was however much to commend giving Churchill a post. To his surprise, Baldwin offered Churchill the long-coveted office of Chancellor of the Exchequer, briefly held by his father before his ill-conceived resignation in 1887. Having arranged a meeting with his Labour predecessor, Philip Snowden, about outstanding business the new Chancellor set to work. Marking his political transition, a few days later Churchill resigned from the National Liberal Club.

Macroeconomic information, structural change, and the prediction of fiscal aggregates

Previous research on the prediction of fiscal aggregates has shown evidence that simple autoregressive models often provide better forecasts of fiscal variables than multivariate specifications. We argue that the multivariate models considered by previous studies are small-scale, probably burdened by overparameterization, and not robust to structural changes. Bayesian Vector Autoregressions (BVARs), on the other hand, allow the information contained in a large data set to be summarized efficiently, and can also allow for time variation in both the coefficients and the volatilities. In this paper we explore the performance of BVARs with constant and drifting coefficients for forecasting key fiscal variables such as government revenues, expenditures, and interest payments on the outstanding debt. We focus on both point and density forecasting, as assessments of a country’s fiscal stability and overall credit risk should typically be based on the specification of a whole probability distribution for the future state of the economy. Using data from the US and the largest European countries, we show that both the adoption of a large system and the introduction of time variation help in forecasting, with the former playing a relatively more important role in point forecasting, and the latter being more important for density forecasting.