Cliometrics

Cliometrics Definition

Cliometrics is a term coined by combining the study of history with the concept of measurement, developed by practitioners to describe the ‘new quantitative economic history’ that emerged in the United States during the late 1950s. These scholars applied sophisticated statistical methods to historical data, aiming to quantify economic phenomena, such as calculating the profitability of slavery before the Civil War or determining the impact of railway development on economic growth.

Methodology and Focus

Cliometricians employed advanced statistical techniques, including regression analysis, on historical datasets. Their work often involved framing hypotheses using explicit counterfactuals, asking ‘what if’ questions to explore alternative historical scenarios, such as assessing the consequences of not building railways. Furthermore, much of their theoretical framework was rooted in the behaviourist assumptions prevalent in neo-classical economics of the time.

Controversy and Context

The field generated controversy due to several factors. This included general scepticism regarding numerical data—which was often reconstructed—and the sometimes questionable application of advanced statistical methods. The novelty of cliometric studies stemmed partly from their explicit counterfactual framing, which challenged traditional historical narrative.

Legacy and Contemporary Usage

In retrospect, the development of quantitative history was not entirely novel, as leading economists and historians of the early twentieth century had already utilised quantitative data and neo-classical theory. However, the trend towards using large-scale datasets, further facilitated by advancements in computer technology, has since become standard practice in modern historical research. Currently, while the term cliometrics no longer denotes a sharply defined school of thought, it is still commonly used to describe systematic attempts to apply social science theory and statistical analyses to historical data across a wide range of subject areas.