Local Financial Development and Firm Performance: Evidence from Morocco

Combining data from the Moroccan census of manufcaturing enterprises with information from a commune survey, we test whether firm expansion is affected by local financial development. Our findings are consistent with this hypothesis: local bank availability is robustly associated with faster growth for small and medium-size firms in sectors with growth opportunities, with a lower likelihood of firm exit and a higher likelihood of investment. The findings also suggests a channel for the effect of the availability of financing in firm growth in our data, namely that access to credit was used to invest in labor saving technology.manufacturing, credit constraint, firm size

Deterring or Displacing Electoral Irregularities? Spillover Effects of Observers in a Randomized Field Experiment in Ghana

This article studies the effect of domestic observers deployed to reduce irregularities in voter registration in a new democracy, and in particular, the response of political parties’ agents to these observers. Because political parties operate over large areas and party agents may relocate away from observed registration centers, observers may displace rather than deter irregularities. We design and implement a large-scale two-level randomized field experiment in Ghana in 2008 taking into account these spillovers and find evidence for substantial irregularities: the registration increase is smaller in constituencies with observers; within these constituencies with observers, the increase is about one-sixth smaller on average in electoral areas with observers than in those without; but some of the deterred registrations appear to be displaced to nearby electoral areas. The finding of positive spillovers has implications for the measurement of electoral irregularities or analysis of data collected by observers.Governmen

Measuring the bias of technological change

Abstract When technological change occurs, it can increase the productivity of capital, labor, and the other factors of production in equal terms or it can be biased towards a specific factor. Whether technological change favors some factors of production over others is an empirical question that is central to economics. The literatures in industrial organization, productivity, and economic growth rest on very specific assumptions about the bias of technological change. Yet, the evidence is sparse. In this paper we propose a general framework for estimating production functions that allows productivity to be multi-dimensional. Using firm-level panel data, we are able to directly assess the bias of technological change by measuring, at the level of the individual firm, how much of technological change is factor neutral and how much of it is labor augmenting. We further relate the speed and the direction of technological change to firms' R&D activities. * We than