MOVE, UAB, and Barcelona GSE
Plaza Civica s/n
Institutional Affiliation: Barcelona GSE
NBER Working Papers and Publications
|November 2017||The Effects of Land Markets on Resource Allocation and Agricultural Productivity|
with , : w24034
We assess the effects of land markets on misallocation and productivity by exploiting effective variation in land rentals across time and space arising from a large-scale land certification reform in Ethiopia, where land remains owned by the state. Our main finding from detailed micro panel data is that land rentals substantially reduce misallocation and increase agricultural productivity. Our evidence builds from an empirical difference-in-difference strategy and a calibrated quantitative macroeconomic framework with heterogeneous household-farms that replicates—without targeting—the empirical effects, an outcome that externally validates our model. The empirical effects are nonlinear—impacting more farms farther away from efficient operational scale, consistent with our theory. Further, ...
|February 2017||Land Misallocation and Productivity|
with : w23128
Using detailed household-level data from Malawi on physical quantities of outputs and inputs in agricultural production, we measure total factor productivity (TFP) for farms controlling for land quality, rain, and other transitory shocks. We find that operated land size and capital are essentially unrelated to farm TFP implying substantial factor misallocation. The aggregate agricultural output gain from a reallocation of factors to their efficient use among existing farmers is a factor of 3.6-fold. We directly link factor misallocation to severely restricted land markets as the vast majority of land is allocated by village chiefs and not marketed. In particular, the output gain from reallocation are 2.6 times larger for farms with no marketed land than for farms that only operate marketed...
|September 2009||Methods versus Substance: Measuring the Effects of Technology Shocks on Hours|
with , , , : w15375
In this paper, we employ both calibration and modern (Bayesian) estimation methods to assess the role of neutral and investment-specific technology shocks in generating fluctuations in hours. Using a neoclassical stochastic growth model, we show how answers are shaped by the identification strategies and not by the statistical approaches. The crucial parameter is the labor supply elasticity. Both a calibration procedure that uses modern assessments of the Frisch elasticity and the estimation procedures result in technology shocks accounting for 2% to 9% of the variation in hours worked in the data. We infer that we should be talking more about identification and less about the choice of particular quantitative approaches.
Published: \Methods versus Substance: Measuring the Eects of Technology Shocks on Hours" joint with Frank Schorfheide, Cristina Fuentes-Albero, Raul Santaeulalia-Llopis and Maxym Kryshko. Journal of Monetary Economics Vol. 59, Issue 8, December 2012, pp. 826-46.