Cross sectional spatial models frequently contain a spatial lag of the dependent variable as a regressor, or a disturbance term which is spatially autoregressive. In this paper we describe a computationally simple procedure for estimating cross sectional models which contain both of these...

This dissertation concerns cross-country consumption risk sharing in a long-run perspective. Financial integration, empirically measured by cross-country holdings of assets and liabilities, has increased dramatically in the past two decades. But what can explain the lack of cross-country risk...

In my thesis I develop a theoretical model of interdependent choices and an estimation strategy which I apply to model patent renewal. The model and the estimation are not confined to my application, but rather can have other applications in which firms or people are making strategic and...

This dissertation inquires into the relationship between income, aspirations, and life satisfaction in post-transition Russia. It first explores the channels through which adaptation and social comparison contribute to higher income aspirations. The results show that social comparison is a...

We describe the spreg command, which implements a maximum likelihood estimator and a generalized spatial two-stage least-squares estimator for the parameters of a linear cross-sectional spatial-autoregressive model with spatial-autoregressive disturbances. Copyright 2013 by StataCorp LP.

We present the spmat command for creating, managing, and storing spatial-weighting matrices, which are used to model interactions between spatial or more generally cross-sectional units. spmat can store spatial-weighting matrices in a general and banded form. We illustrate the use of the spmat...