How Can We Learn Whether Firm Policies Are Working in Africa? Challenges (and Solutions?) For Experiments and Structural Models

Abstract

Firm productivity is low in African countries, prompting governments to try a number of active policies to improve it. Yet despite the millions of dollars spent on these policies, we are far from a situation where we know whether many of them are yielding the desired payoffs. This article establishes some basic facts about the number and heterogeneity of firms in different Sub-Saharan African countries and discusses their implications for experimental and structural approaches towards trying to estimate firm policy impacts. It shows that the typical firm programme such as a matching grant scheme or business training programme involves only 100 to 300 firms, which are often very heterogeneous in terms of employment and sales levels. As a result, standard experimental designs will lack any power to detect reasonably sized treatment impacts, while structural models which assume common production technologies and few missing markets will be ill-suited to capture the key constraints firms face. Nevertheless, I suggest a way forward which involves focusing on a more homogeneous sub-sample of firms and collecting a lot more data on them than is typically collected.

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