Using the 2004-05 India Human Development Survey data, we estimate and decompose the earnings of household businesses owned by historically marginalized social groups known as Scheduled Castes and Tribes (SCSTs), and non-SCSTs across the earnings distribution. We find clear differences in...

This study investigates the role of owners' personal preferences and behaviour in determining the success of micro, small and medium-sized enterprises using a lab-in-the-field experiment with small-business owners in Myanmar. The study is a complement to a 2017 quantitative survey conducted...

We use the case of the timber industry in Myanmar to analyse how national regulatory frameworks and international ecological discourses affect forest management and small businesses. The state plays two roles in the timber industry in Myanmar: it is the main producer and legal source of raw...

Using novel data from micro, small, and medium firms in Viet Nam, we estimate the relationship between behavioural and personality traits of owners/managers - risk attitudes, locus of control, and innovativeness - and firm-level decisions. We extend the analysis beyond standard metrics of firm...

Using matched worker-firm data from three waves of the Viet Nam Small and Medium Enterprises data, we examine whether workers are compensated with higher wages for working in vulnerable jobs and unfavourable working conditions. Wage equations indicate that there are no clear compensating...

In this paper we explore the extent to which firms experience productivity spillovers from clustering using a rich data source from Vietnam for 2002 to 2007, a period of significant transition. We address issues of simultaneity, self-selection and endogenous location choice of firms in an...

Unlike in the past where industrial policy was either focused on creation and growth of state-owned firms or alternatively consisted merely of broadly functional policies without consideration for firm or entrepreneurial specifics, the requirement now is that future industrial policy ought to be...

The COVID-19 pandemic holds at least seven lessons for the relationship between data-driven decision making, the use of artificial intelligence, and development. These are that (1) in a global crisis, the shifting value of data creates policy pitfalls; (2) predictions of crises and how they play...