The investment decisions of small-scale farmers in developing countries are conditioned by their financial environment. Binding credit market constraints and incomplete insurance can reduce investment in activities with high expected profits. We conducted several experiments in northern Ghana in...

We partnered with a micro-lender in Mali to randomize credit offers at the village level. Then, in no-loan control villages, we gave cash grants to randomly selected households. These grants led to higher agricultural investments and profits, thus showing that liquidity constraints bind with...

In an experiment providing fertilizer grants to women rice farmers in Mali, we found that women who received fertilizer increased both the quantity of fertilizer they used on their plots and complementary inputs such as herbicides and hired labor. This highlights that farmers respond to an...

While the regulation of tenancy arrangements is widespread in the developing world, evidence on how such regulation influences the long-run allocation of land and labor remains limited. To provide such evidence, this paper exploits quasi-random assignment of linguistically similar areas to...

If labour market policies aimed at people with disabilities are effective, we should observe no significant difference in labour market outcomes between disabled and non-disabled individuals. This Paper examines the impact of disability status on labour market outcomes using matching methods...

The estimation of large Vector Autoregressions with stochastic volatility using standard methods is computationally very demanding. In this paper we propose to model conditional volatilities as driven by a single common unobserved factor. This is justified by the observation that the pattern of...

We propose a method for solving and estimating linear rational expectations models that exhibit indeterminacy and we provide step-by-step guidelines for implementing this method in the Matlab-based packages Dynare and Gensys. Our method redefines a subset of expectational errors as new...

We consider estimating volatility risk factors using large panels of filtered or realized volatilities. The data structure involves three types of asymptotic expansions. There is the cross-section of volatility estimates at each point in time, namely i = 1,…, N observed at dates t = 1,…, T:...

This paper describes an algorithm to compute the distribution of conditional forecasts, i.e. projections of a set of variables of interest on future paths of some other variables, in dynamic systems. The algorithm is based on Kalman filtering methods and is computationally viable for large...

This paper examines the impact of endogenous deficit-balancing subsidies on the cost efficiency of local public bus companies by using alternative frontier cost models for panel data. Thereby, the multidimensional performance estimation incorporates the subsidy variable directly. The empirical...