This paper revisits the role of land measurement error in the inverse farm size and productivity relationship. By making use of data from a nationally representative household survey from Uganda, in which self-reported land size information is complemented by plot measurements collected using...

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation...

This paper revisits the role of land measurement error in the inverse farm size and productivity relationship. By making use of data from a nationally representative household survey from Uganda, in which self-reported land size information is complemented by plot measurements collected using...

In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation...

Advances in agricultural data production provide ever-increasing opportunities for pushing the research frontier in agricultural economics and designing better agricultural policy. As new technologies present opportunities to create new and integrated data sources, researchers face tradeoffs in...