Female entrepreneurs may be less networked than their male counterparts and so derive less benefit from agglomeration. They may also have greater domestic burdens and therefore have higher commuting costs. This paper develops a theoretical model showing that either of these forces can lead to the segregation of male- and female-owned businesses, with female entrepreneurs choosing locations farther from agglomerations and commuting shorter distances. Empirical analysis is consistent with these predictions. Female-owned businesses are segregated, often to a degree similar to black-white residential segregation. Female-owned enterprises are less exposed to agglomeration, with 10% to 20% less own-industry employment nearby.

This paper identifies a new factor, the age of the housing stock, that affects where high- and low-income neighborhoods are located in U.S. cities. High-income households, driven by a high demand for housing services, tend to locate in areas of the city where the housing stock is relatively young. Because cities develop and redevelop from the center outward over time, the location of these neighborhoods varies over the city's history. The model predicts a suburban location for the rich in an initial period, when young dwellings are found only in the suburbs, while predicting eventual gentrification once central redevelopment creates a young downtown housing stock. Controlling for other determinants of where the poor live (e.g., proximity to amenities and public transit), empirical work indicates that if the influence of spatial variation in dwelling ages were eliminated, central-city/suburban disparities in neighborhood economic status would be reduced by up to 10 percentage points. Model estimates further predict that between 2000 and 2020, central-city/suburban differences in economic status will narrow in cities of all sizes, and especially in the larger metropolitan areas as American cities become more gentrified.

This paper establishes the existence of a previously overlooked relationship between agglomeration and hours worked. Among nonprofessionals, hours worked decrease with the density of workers in the same occupation. Among professionals, the relationship is positive. This relationship is stronger for the young than for the middle-aged. Moreover, young professional hours worked are especially sensitive to the presence of rivals. The paper shows that these patterns are consistent with the selection of hard workers into cities and with the high productivity of agglomerated labor. The behavior of young professionals is also consistent with the presence of keen rivalry in larger markets, a kind of urban rat race.

This paper develops a new measure of the quality of business environment that complements existing measures of the quality of life. An annual panel of these measures is constructed and analyzed for 37 cities from 1977 to 1995. Findings indicate that many cities attractive to firms are unattractive to households, and vice versa. In addition, the size of a city's workforce increases with improvements in the quality of the business environment. In contrast, cities most likely to be dominated by retirees are those that are less attractive to firms. Additional specifications support theoretical arguments that retirees are drawn to cities in which local attributes are capitalized into lower wages rather than higher rents.

This paper makes two contributions to the empirical literature on agglomeration economies. First, the paper uses a unique and rich database in conjunction with mapping software to measure the geographic extent of agglomerative externalities. Previous papers have been forced to assume that agglomeration economies are club goods that operate at a metropolitan scale. Second, the paper tests for the existence of organizational agglomeration economies of the kind studied qualitatively by Saxenian (1994). This is a potentially important source of increasing returns that previous empirical work has not considered. Results indicate that localization economies attenuate rapidly and that industrial organization affects the benefits of agglomeration.

Although bargaining is common in markets for heterogeneous goods, it has largely been ignored in the hedonic literature. In a break from that tradition, we establish sufficient conditions that permit one to identify the effect of buyer and seller bargaining on hedonic models. Our model is estimated using a previously overlooked feature of the American Housing Survey that permits us to observe characteristics of both buyers and sellers. Results suggest that household wealth, gender, and other demographic traits influence bargaining power. In addition, variation in bargaining power arising from the presence of school-age children accounts for anomalous seasonal patterns reported in various widely cited indices of quality-adjusted house prices.

Present value studies of asset market efficiency are controversial because they compare asset prices to unobserved discounted streams of future rents. As an alternative, if housing markets are efficient, then the price of residential capital or buildings should satisfy the following two conditions: (i) deviations between new building prices and construction costs should disappear faster than construction lags and have no effect on construction, and (ii) temporary building price shocks should dissipate at a similar rate for different vintage buildings. Results from an error-correction model support both hypotheses for single-family housing in Vancouver, British Columbia. This implies that the implicit market for residential buildings is efficient and that any inefficiencies in the housing market must lie in the market for land itself.

Previous property tax capitalization studies assume that families itemize, that they save in taxable assets, and that real interest income is taxed. However, many families do not itemize, many families invest in tax-deferred assets, and nominal interest income is taxed. As a consequence, prior studies likely misspecify the property tax capitalization equation for roughly ninety percent of their samples. Taking federal tax provisions into account increases the precision of our estimated capitalization rate. In addition, our results suggest that biases in prior studies likely contribute to the variety of capitalization estimates in the literature.