A popular approach to examining the effects of public policy has been to rely on a spatial data sample of border counties as in Holmes (1998)-border countries from a sample of states that are used in conjunction with least-squares estimation techniques in an attempt to isolate the policy impact while controlling for spatial dependence that often arises from latent or unobserved variables. This technique is in the spirit of control-group methodologies from the laboratory sciences. This paper contrasts border-county estimation results from Holmes' (1998) approach and those from a related methodology set forth in Holcombe and Lacombe (2003), with estimates from a spatial autoregressive model explicitly accounting for within-state and between-state public policy effects. As an illustration, the paper examines the effects of Aid to Families with Dependent Children (AFDC) and Food Stamp payments on female-headed. households and female labor force participation using the three different methods.
|Number of pages||14|
|State||Published - Apr 2004|