Decisions about location choice provide an opportunity to compare the predictions of optimization models, which require exhaustive search through very large choice sets, against the actual decision processes used by entrepreneurs choosing where to allocate investment capital. This paper presents...

Experimental choice data from 881 subjects based on 40 time-tradeoff items and 32 risky choice items reveal that most subjects are time-inconsistent and most violate the axioms of expected utility theory. These inconsistencies cannot be explained by well-known theories of behavioral...

Behavioral economics has in recent decades emerged as a prominent set of methodological developments that have attracted considerable attention both within and outside the economics profession. The time is therefore auspicious to assess behavioral contributions to particular subfields of...

Behavioral/experimental economics is poised to enter a new phase in its relatively brief intellectual history, moving beyond empirical tests of standard behavioral assumptions in the social sciences to the problem of designing improved institutions that are tuned to fit real-world behavior. For...

Merrifield (2009) provides a useful polemic about the sad state of data analysis too frequently encountered in the school choice literature. The available data come mostly from limited policy experiments with only modest amounts of choice and competition. These data are then misapplied in...

Dynamic correlation models demonstrate that the relationship between interest rates and housing prices is non-constant. Estimates reveal statistically significant time fluctuations in correlations between housing price indexes and Treasury bonds, the S&P 500 Index, and stock prices of...

This paper addresses the question of whether the findings of behavioral economics imply that techniques used in cost-benefit analysis should be modified. The findings of behavioral economics considered include the status-quo effect, loss-aversion, overconfidence and hyperbolic discounting. These...

Given free information and unlimited processing power, should decision algorithms use as much information as possible? A formal model of the decision making environment is developed to address this question and provide conditions under which informationally frugal algorithms, without any...

Non-response bias refers to the mistake one expects to make in estimating a population characteristic based on a sample of survey data in which, due to non-response, certain types of survey respondents are under-represented. Social scientists often attempt to make inferences about a population...

This paper presents new data on entrepreneurs' self-described decision processes when choosing where to locate, based on scripted interviews with business owners. Consideration sets and quantities of information acquisition are surprisingly small, especially among entrepreneurs who are...