Histories and Historiographies of Juvenile Delinquency in Nineteenth-Century England

This thesis explores the history of juvenile delinquency in England during the decades bracketing the nineteenth century’s turn and how modern historians have analyzed this period. The purported birth of juvenile delinquency during this tumultuous period is widely attributed by both historians and Victorians to the explosive growth in England’s urban population. Contemporary statistics of criminal prosecutions confirmed emergent literary tropes that viewed childhoods spent on city streets as inevitably corrupting. Public policy and private charity for more than a century thereafter would recommend removal from the city’s corrupting cultural influences to a highly romanticized vision of rural space as healing innocence. This thesis challenges the juxtaposition of country and city on which such explanations of juvenile delinquency rest. Utilizing the neglected testimony of magistrates, constables, rural residents, and juvenile criminals themselves, it will demonstrate that rural England also suffered from increasing juvenile crime in this period. It will illuminate the complex social, economic, and political dynamics responsible for the oft-cited statistical gap between rural and urban arrest rates, showing that the latter were in neither case transparent measures of criminal activity. Crime was on the rise in English rural counties as transformed by industrial capitalism as were England’s booming cities, suggesting that historians who continue to emphasize the dichotomy between the city and the country have not only recycled a Victorian narrative but also limited their own understandings of the time.

Essays on the Dynamic Decisions of Homeowners and Retailers

Urban problems have several features that make them inherently dynamic. Large transaction costs all but guarantee that homeowners will do their best to consider how a neighborhood might change before buying a house. Similarly, stores face large sunk costs when opening, and want to be sure that their investment will pay off in the long run. In line with those concerns, different areas of Economics have made recent advances in modeling those questions within a dynamic framework. This dissertation contributes to those efforts.

Chapter 2 discusses how to model an agent’s location decision when the agent must learn about an exogenous amenity that may be changing over time. The model is applied to estimating the marginal willingness to pay to avoid crime, in which agents are learning about the crime rate in a neighborhood, and the crime rate can change in predictable (Markovian) ways.

Chapters 3 and 4 concentrate on location decision problems when there are externalities between decision makers. Chapter 3 focuses on the decision of business owners to open a store, when its demand is a function of other nearby stores, either through competition, or through spillovers on foot traffic. It uses a dynamic model in continuous time to model agents’ decisions. A particular challenge is isolating the contribution of spillovers from the contribution of other unobserved neighborhood attributes that could also lead to agglomeration. A key contribution of this chapter is showing how we can use information on storefront ownership to help separately identify spillovers.

Finally, chapter 4 focuses on a class of models in which families prefer to live

close to similar neighbors. This chapter provides the first simulation of such a model in which agents are forward looking, and shows that this leads to more segregation than it would have been observed with myopic agents, which is the standard in this literature. The chapter also discusses several extensions of the model that can be used to investigate relevant questions such as the arrival of a large contingent high skilled tech workers in San Francisco, the immigration of hispanic families to several southern American cities, large changes in local amenities, such as the construction of magnet schools or metro stations, and the flight of wealthy residents from cities in the Rust belt, such as Detroit.