Using a large panel of weekly wheat prices, we infer the annual rate of return on capital in each county in England and Wales in the period 1770-1820. Throughout this period markets were efficient in the sense that weekly returns were serially uncorrelated. We show that the interest rate...

Interpretation of historic grain price data may be hazardous owing to systematic grain quality variation – both cross sectionally and over varying time horizons (intra-year, inter-year, long run). We use the English wheat market, 1750-1914, as an example to quantify this issue. First, we show...

From 1770 to 1914, the British Government collected weekly price and quantity data for all types of grain traded in many market towns; these ‘Corn Returns’ were published in the London Gazette. We computerised the data published 1770-1864, totalling around 6 million data points. Here we...

Giffen reported that, in the late nineteenth century, English wheat consumption rose when its price increased – the first recorded “Giffen good”. Using Giffen’s data, I explain how he reached his conclusion. I then show that his analysis was faulty: price elasticity of demand appears...

Cointegration analysis has been used widely to quantify market integration through price arbitrage. We show that total price variability can be decomposed into: (i) magnitude of price shocks; (ii) correlation of price shocks; (iii) between-period arbitrage. All three measures depend upon data...

We estimate a time series model of weather shocks on English wheat yields for the early nineteenth century and use it to predict weather effects on yield levels from 1697 to 1871. This reveals that yields in the 1690s were depressed by unusually poor weather; and those in the late 1850s were...

We show that vector error correction models encompass different approaches to analysing market integration; we illustrate our method using English weekly wheat prices, 1770–1820. Price variation decomposes into: (i) magnitude of price shocks; (ii) correlation of price shocks; (iii)...