(Under)Mining local residential property values: A semiparametric spatial quantile autoregression

Rock mining operations, including limestone and gravel production, have considerable adverse effects on residential quality of life due to elevated noise and dust levels resulting from dynamite blasting and increased truck traffic. This paper provides the first estimates of the effects of rock mining—an environmental disamenity—on local residential property values. We focus on the relationship between a house's price and its distance from a nearby rock mine. Our analysis studies Delaware County, Ohio, which, given its unique features, provides a natural environment for the valuation of property‐value‐suppressing effects of rock mines on nearby houses. We improve upon the conventional approach to evaluating adverse effects of environmental disamenities based on hedonic house price functions. Specifically, in the pursuit of robust estimates, we develop a novel (semiparametric) partially linear spatial quantile autoregressive model which accommodates unspecified nonlinearities, distributional heterogeneity, as well as spatial dependence in the data. We derive the consistency and normality limit results for our estimator as well as propose a consistent model specification test. We find statistically and economically significant property‐value‐suppressing effects of being located near an operational rock mine which gradually decline to insignificant near‐zero values at roughly a 10‐mile distance. Our estimates suggest that, all else equal, a house located a mile closer to a rock mine is priced, on average, at about 2.3–5.1% discount, with more expensive properties being subject to larger markdowns.     

A rationale for planning: Implications from the economic theory of the firm

This paper undertakes the development of a foundation for a theory of why firms plan. The theory of the firm literature provides a useful starting-point and provides insight into the factors which have an effect on the planning function of the firm. Those factors include transactions costs, uncertainty and asset-specificity. The fact that some firms should not plan even in the face of uncertainty and transactions costs emphasizes the importance of the relative magnitudes of various costs and demonstrates the relevance of standard economic analysis for the study and practice of business planning. Examples illustrate the role of planning for human, financial and physical resources.     

Effects of US interest rates and news on the daily interest rates of a highly indebted emerging economy: evidence from Turkey

It has been widely demonstrated that asset prices react sensitively to macroeconomic news releases both in the industrialized countries and emerging markets. However, there are contradicting results on the effects of changes in interest rates of industrialized countries on asset prices of emerging markets. In heavily indebted economies, in addition to these factors, political news and announcements from international institutions that may increase or decrease concerns about debt sustainability can affect asset prices as well. This potential notwithstanding, there has been relatively limited empirical work on the effects of such variables. The objective of this study is to quantify the impact of all of these factors on interest rates of a highly indebted emerging economy. Using daily post-crisis data of the Turkish economy we show that both good and bad political news, International Monetary Fund announcements, and European Union related news significantly affected secondary market government securities yields, whereas volatility of yields was affected mainly by bad news releases. Changes in US Treasury bond rates and ‘appetite’ for risk of foreign investors did not affect government securities yields in the period analysed.     

A generalized panel data switching regression model

This paper considers a generalized panel data model of polychotomous and/or sequential switching which can also accommodate the dependence between unobserved effects and covariates in the model. We showcase our model using an empirical illustration in which we estimate scope economies for the publicly owned electric utilities in the US during the period from 2001 to 2003.     

Economies of diversification in the US credit union sector

Significant scale economies have been recently cited to rationalize a dramatic growth in the US retail credit union sector over the past few decades. In this paper, we explore another plausible supply‐side explanation for the growth of the industry, namely economies of diversification. We focus on the fact that credit unions differ among themselves in the range of financial services they offer to their members. Since larger credit unions tend to offer a more diversified financial service menu than credit unions of a smaller size, the incentive to grow in size may be fueled not only by present scale economies but also by economies of diversification. This paper provides the first robust estimates of such economies of diversification for the credit union sector. We estimate a flexible semiparametric smooth coefficient quantile panel data model with correlated effects that is capable of accommodating a four‐way heterogeneity among credit unions. Our results indicate the presence of non‐negligible economies of diversification in the industry. We find that as many as 27–91% (depending on the type and the cost quantile) of diversified credit unions enjoy substantial economies of diversification; the cost of most remaining credit unions is invariant to the scope of services. We also find overwhelming evidence of increasing returns to scale in the industry.     

THE ROLE OF CAPITAL ADEQUACY REGULATION IN THE HEDGING DECISIONS OF FINANCIAL INTERMEDIARIES

This paper identifies the effect of capital adequacy requirements, which have been ignored to date in the hedging literature, on the forward hedging decisions of financial intermediaries. Using a more general framework than has been used in the literature on intermediary behavior in forward markets, cases are developed where capital and forward contracting are substitutes as well as where increasing the capital requirement increases the volume of desired forward contracting. The model shows that the most important factors in determining the equilibrium rate and the equilibrium position of intermediaries are the statistical association between the level of the forward rate and the spread between interest rates, the level of the capital-to-assets ratio, and the degree of risk aversion of intermediaries and other participants in the forward market. To characterize whether the intermediary's optimal forward position is long or short, one must have knowledge of at least the sign of the association between the level and spread for the particular intermediary, the intermediary's capital position, and whether the forward market equilibrium corresponds to a positive or negative premium. The model also demonstrates that a full hedge of assets is always sub-optimal, and a universally applicable expression for the optimal hedge ratio when hedging is costless is derived.