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In this chapter, we present econometric and statistical methods for analyzing randomized experiments. For basic experiments, we stress randomization-based inference as opposed to sampling-based inference. In randomization-based inference, uncertainty in estimates arises naturally from the random...
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This paper examines the robustness of various models of spatial autocorrelation through a series of Monte Carlo …
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I study how a forward-looking decision maker experiments on unknown alternatives of spatially correlated utilities modeled by a Brownian motion so that similar alternatives yield similar utilities. For example, a firm experiments on its size that yields unknown, spatially correlated...
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