areas of India, and that farmers respond more strongly to the forecast where there is more forecast skill and not at all … when there is no skill. We show, using an IV strategy in which the Indian government forecast of monsoon rainfall serves as … compared with farmers without access to forecasts. Even modest improvements in forecast skill would substantially increase …

protection policies and trade relations with the EU and productivity dynamics and their determinants. Secondly, it presents four … scenarios based on the main value chains of the agriculture sector of Med 11: animal products, fruits and vegetables, sugar and …

global agriculture. The analysis uses the new version of the GTAP-W model, which distinguishes between rainfed and irrigated … agriculture and implements water as an explicit factor of production for irrigated agriculture. The results suggest that a partial … analysis of the main factors through which climate change will affect agricultural productivity lead to different outcomes. Our …

Long-Run Structural and Productivity Change in U.S. Agriculture: Effects of Prices and Policies by Wallace E. Huffman … or specialized and (2) an econometrics examination of causes of structural and total factor productivity (TFP) change for … U.S. agriculture. Farm size, farm specialization, and part-time farming are the structural dimension emphasized, and …

the agricultural production cycle. We show theoretically that a forecast of good weather can lower wages in the planting …

This paper examines the corporation tax forecasting techniques used by the Institute for Fiscal Studies. For current … year forecasts a judgemental forecast is found to have performed better than relying solely on a simple model or … information on the receipts available so far in the current financial year. For longer time horizons the judgemental forecast has …

pools, and use it to investigate the relative forecasting performance of dynamic stochastic general equilibrium (DSGE … react in a timely fashion to changes in the environment, leading to real-time forecast improvements relative to other … methods of density forecast combination, such as Bayesian model averaging, optimal (static) pools, and equal weights. We show …

This paper contributes to the productivity literature by using results from firm-level productivity studies to improve … forecasts of macro-level productivity growth. The paper employs current research methods on estimating firm-level productivity … to build times-series components that capture the joint dynamics of the firm-level productivity and size distributions …