The three-step generalized methods of moments (GMM) approach of Kapoor, Kelejian and Prucha (2007), which corrects for spatially correlated errors in static panel data models, is extended by introducing fixed effects, a spatial lag, and a one-period lag of the dependent variable as additional...

Understanding land accumulation dynamics is relevant for policy makers interested in the economic effects of land inequality in developing country agriculture. We thus explore and simultaneously test the leading theories of microlevel land accumulation dynamics using unique panel data from...

Understanding land accumulation dynamics is relevant for policy makers interested in the economic effects of land inequality in developing country agriculture. We thus explore and simultaneously test the leading theories of microlevel land accumulation dynamics using unique panel data from...

Understanding land accumulation dynamics is relevant for policy makers interested in the economic effects of land inequality in developing country agriculture. We thus explore and simultaneously test the leading theories of microlevel land accumulation dynamics using unique panel data from...

Hong and Kao (2004) proposed a panel data test for serial correlation of unknown form. However, their test is computationally difficult to implement, and simulation studies show the test to have bad small-sample properties. We extend Gencay’s (2011) time series test for serial correlation to...