Decomposing the growth in residential land in the United States

This paper decomposes the growth in land occupied by residences in the United States to give the relative contributions of changing demographics versus changes in residential land per household. Between 1976 and 1992 the amount of residential land in the United States grew 47.7% while population only grew 17.8%. At first glance, this suggest an important role for per-household increases. However, the calculations in this paper show that only 24.5% of the growth in residential land area can be attributed to state-level changes in land per household. 37.3% is due to overall population growth, 22.6% to an increase in the number of households over this period, 6% to the shift of population towards states with larger houses, and the remaining 9.6% to interactions between these changes. There are large differences across states and metropolitan areas in the relative importance of these components.     

Launch Decisions and New Product Success: An Empirical Comparison of Consumer and Industrial Products

Many articles have investigated new product development success and failure. However, most of them have used the vantage point of characteristics of the product and development process in this research. In this article we extend this extensive stream of research, looking at factors affecting success; however, we look at the product in the context of the launch support program. We empirically answer the question of whether successful launch decisions differ for consumer and industrial products and identify how they differ. From data collected on over 1,000 product introductions, we first contrast consumer product launches with industrial product launches to identify key differences and similarities in launch decisions between market types. For consumer products, strategic launch decisions appear more defensive in nature, as they focus on defending current market positions. Industrial product strategic launch decisions seem more offensive, using technology and innovation to push the firm to operate outside their current realm of operations and move into new markets. The tactical marketing mix launch decisions (product, place, promotion and price) also differ markedly across the products launched for the two market types. Successful products were contrasted with failed products to identify those launch decisions that discriminate between both outcomes. Here the differences are more of degree rather than principle. Some launch decisions were associated with success for consumer and industrial products alike. Launch successes are more likely to be broader assortments of more innovative product improvements that are advertised with print advertising, independent of market. Other launch decisions uniquely related to success per product type, especially at the marketing mix level (pricing, distribution, and promotion in particular). The launch decisions most frequently made by firms are not well aligned with factors associated with higher success. Additionally, comparing the decisions associated with success to the recommendations for launches from the normative literature suggests that a number of conventional heuristics about how to launch products of each type will actually lead to failure rather than success.     

Incentives and Performance in Real Estate Brokerage

This article has two objectives. One is to offer a theoretical model to study how the difference in commission structures affects the performance of agents at full-commission firms (e.g., RE/MAX agents) relative to other agents. The other is to provide an empirical test of the relative performance of full-commission agents. We predict that in equilibrium the selling price and the expected time it takes to sell a listing through a full-commission agent are the same as they are with a traditional agent. Our theoretical predictions are supported by our empirical results.     

The saving–investment correlation puzzle is still a puzzle

A number of simulation studies claim to have solved the Feldstein–Horioka puzzle by demonstrating that a high time-series correlation between saving and investment naturally arises from business cycle shocks. This paper uses panel data of saving and investment controlled for business cycle shocks to empirically test the significance of cyclical shocks — productivity, fiscal and the terms of trade shocks — in explaining a high saving–investment correlation. The estimation results reveal that conventional aggregate shocks only partially explain the high saving–investment correlation. Moreover, country differences in the size of the GNP and the non-traded sector do not significantly affect the saving–investment correlation. The saving–investment correlation puzzle remains a puzzle after all.     

The effects of Mongolia's booming mining industry on its agricultural sector: A test for Dutch disease

Dutch disease occurs when currency strengthening associated with a booming sector of an economy crowds out a lagging trade‐dependent sector. In this study, a Keynesian‐style model is specified to deduce hypotheses about how increased foreign direct investment (FDI) aimed at Mongolia's mining sector affects its agricultural sector. A key finding is that while econometric results suggest the increased FDI strengthened Mongolia's currency, its adverse effect on Mongolia's trade‐sensitive agricultural sector is not sufficiently strong to cause the sector to decline. Although Dutch disease was not detected, the posited mechanism clearly is important. Specifically, when currency strengthening is ignored the reduced‐form elasticity of agricultural value‐added with respect to FDI is 2.7 times larger than when currency strengthening is taken into account (0.103 vs. 0.038). Also, FDI‐induced currency strengthening causes the Keynesian multiplier to drop from 2.40 to 2.00 and the FDI multiplier to drop from 3.05 to 1.89.