This study estimates Climate Adjusted Total Factor Productivity (CATFP) for agriculture in Latin America and Caribbean … induces significant reductions in productivity (2.3% to 10.7%), over the 2013-2040 period. Estimated output losses due to …

distribution by asking whether ethanol returns can be used to forecast different parts of field crops returns distribution, or vice … Squares. Forecast evaluation relies on quantile-weighed scoring rules, which identify regions of the distribution of interest … by using field crops returns. On the contrary, there is no evidence that ethanol can be used to forecast any region of …

irrigation water available in the country. Hence if sustainable agriculture water-use has to be ensured, economics (productivity …Study on water productivity issues of rice cultivation in Punjab and sugarcane cultivation in Maharashtra …Indian agriculture is estimated to be consuming about 78 percent of total fresh water resources available in the …

clearly reveal that it is imperative to accelerate agricultural productivity growth. This paper estimates micro …-level production models to identify the major factors that have contributed to productivity growth in El Salvador, including irrigation … estimation of these models are used to calculate Total Factor Productivity (TFP) change and to decompose such change into …

This paper analyzes total factor productivity growth in agriculture in Latin America and the Caribbean between 1961 and … results show that among developing regions, Latin America and the Caribbean shows the highest agricultural productivity growth …-constrained countries. Within agriculture, crops and non-ruminant sectors have displayed the strongest growth between 1961 and 2001, and …

models' out-of-sample forecasting performance for the period 2012 q3 to 2016 q2 by using a number of forecast evaluation … increases. Second, the disaggregated ARIMA model has the smallest forecasting errors. Third, majority of the forecast evaluation … Republic of Macedonia (NBRM) for short-term forecasting of inflation - Autoregressive integrated moving average models …