Although more rapid development is a primary motivation behind city-county consolidations, relatively few empirical papers explore the actual impact of consolidation on development. This study uses the synthetic control method (SCM) to examine the long-term impact of city-county consolidations on per capita income, population, and employment. The results from the three cases explored indicate that consolidation does not guarantee development and can actually have negative effects. Additionally, the effects vary based upon the county, time horizon, and development measure.JEL Codes: H11, H70, R11, R58
Purpose
There are countless factors that affect where an entrepreneur chooses to open a business that have been studied in the literature, including local socio-economic conditions, government policy, and agglomeration economies. One important aspect to the location decision that has not received as much attention from researchers thus far is the impact of crime on entrepreneurship. The purpose of this paper is to discuss the current literature on this topic, with a particular emphasis on the empirical issues present that have likely caused the research in this area to be scarce.
Design/methodology/approach
The authors conduct an analysis of the current state of the literature examining the relationship between crime and entrepreneurship. Looking at what has been done in the past, as well as improvements in the data, the authors discuss what has been done and what can be done in the future.
Findings
The authors discuss areas related to entrepreneurship and crime that the authors see as an emerging literature, based largely on the improvements in data and identification strategies that allow the authors to answer questions that the authors previously could not.
Originality/value
This paper is a review of the current literature, which also discusses areas that future researchers should consider and analyze further.
This paper explores how emotional cues from unexpected sports outcomes impact consumers’ perception of their experience at local businesses. Using nearly 1 million Yelp reviews from the Phoenix area, I empirically test for the presence of loss aversion and reference-dependent preferences in reviewer behavior. Consistent with loss aversion, unexpected losses lead to worse reviews while there is no effect for unexpected wins. The impact of unexpected losses is concentrated in home games, with no effect for away games. The results also reflect reference-dependent preferences since wins and losses in games predicted to be close do not impact reviewer behavior. Consumer services that cater to National Basketball Association fans (e.g., sports bars) experience pronounced effects.
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