This paper studies the problems of estimation and inference in the linear trend model: yt=à+þt+ut, where ut follows an autoregressive process with largest root þ, and þ is the parameter of interest. We contrast asymptotic results for the cases þþþ 1 and þ=1, and argue that the most...

The unit-weighted mean is of frequent interest to applied researchers in a wide range of fields. Despite this interest, there is a lack of easily accessible theoretical statistical literature that shows its statistical properties. This paper provides the asymptotic distribution of the...

A major question in the literature on the classical gold standard concerns the efficiency of international arbitrage. Authors have examined efficiency by looking at the spread of the gold points, gold point violations, the flow of gold, or by tests of various asset market criteria, including...

A major question in the literature on the classical gold standard concerns the efficiency of international arbitrage. Authors have examined efficiency by looking at the spread of the gold points, gold point violations, the flow of gold, or by tests of various asset market criteria, including...

We present a model with a monopolistic landlord and tenants with unobservable ability. In this setting, the landlord should use a wage contract to extract the full surplus due to ability since a share or fixed rent contract leaves some of the surplus in the hands of the tenants. We combine this...

A new data set shows the extensive use of sharecropping in modern U.S. agriculture particularly in wheat, rice, corn, soybeans, and cotton. For these five crops, I investigate the importance of risk and three types of incentive problems that are commonly regarded to 'cause' sharecropping. A...

This paper studies the problems of estimation and inference in the linear trend model: yt=à+þt+ut, where ut follows an autoregressive process with largest root þ, and þ is the parameter of interest. We contrast asymptotic results for the cases þþþ 1 and þ=1, and argue that the most...