Date of Award

January 2016

Document Type


Degree Name

Master of Science (MS)


Economics & Finance

First Advisor

Daniel Biederman


This paper studies the impact of seasonality on agricultural productivity in Bangladesh for the period of 1980-2013 for 7 regions. This study exploits regional fixed effect to estimate the impact of both observed and unobserved effects on agricultural productivity in order to control for regional differences. I used a panel dataset for the fixed and random effect regression model to control omitted variables bias and endogeneity. Findings from this study expressed that the effects of all the climate variables are not significant to rice, wheat, and pulse yield. Maximum temperature and minimum temperature wet for rice, minimum temperature dry and rainfall dry for wheat, and maximum temperature dry, rainfall wet, and humidity in both season for pulse are statistically significant and contribute to the crop production. Overall, climatic variables are of paramount importance for seasonality and agricultural productivity in Bangladesh.