The Dynamics of Location in Home Price

It is well established that house prices are dynamic. It is also axiomatic that location influences such selling prices, motivating our objective of incorporating spatial information in explaining the evolution of house prices over time. In this paper, we propose a rich class of spatio-temporal models under which each property is point referenced and its associated selling price modeled through a collection of temporally indexed spatial processes. Such modeling includes and extends all house price index models currently in the literature, and furthermore permits distinction between the effects of time and location. We study single family residential sales in two distinct submarkets of a metropolitan area and further categorize the data into single- and multiple-transaction observations. We find the spatial component is very important in explaining house price. Moreover, the relative homogeneity of homes within the submarket and the frequency with which homes sell affects the pattern of variation across space and time. Differences between single and repeat sale data are evident. The methodology is applicable to more general capital asset pricing when location is anticipated to be influential.     

Employee Stock Options, Corporate Taxes, and Debt Policy

We find that employee stock option deductions lead to large aggregate tax savings for Nasdaq 100 and S&P 100 firms and also affect corporate marginal tax rates. For Nasdaq firms, including the effect of options reduces the estimated median marginal tax rate from 31% to 5%. For S&P firms, in contrast, option deductions do not affect marginal tax rates to a large degree. Our evidence suggests that option deductions are important nondebt tax shields and that option deductions substitute for interest deductions in corporate capital structure decisions, explaining in part why some firms use so little debt.     

Logics,Leaders, Lab Coats: A Multi‐Level Study on How Institutional Logics are Linked to Entrepreneurial Intentions in Academia

Situated in the context of academia, this study integrates ideas from institutional theory, person‐environment fit theory and leadership research to conceptualize and examine the cross‐level link between the organizational‐level institutional logic of research commercialization and the entrepreneurial intentions of researchers. Multi‐level analyses based on a sample of 254 researchers working for 85 research group leaders in 49 German research institutes reveal that two distinct attributes of research group leaders – that is, their track records of entrepreneurial behaviour and their entrepreneurial intentions – play a significant role in transmitting the organizational‐level logic to the individual level. We also observe a complementary interaction between organizational‐level commercialization logic and the entrepreneurial track records of leaders. We discuss how these findings advance our understanding of science commercialization through academic entrepreneurship and how they inform institutional theory and theory development in other domains of entrepreneurship research.     

Validating the international tourist role scale

This study was designed to validate the international tourist role scale and the three dimensions it revealed. The purpose of this attitudinal scale was to measure the tourist role typology. United States adult outbound tourists flying with 11 major airlines returned useful questionnaires. This study validated the role scale as a reliable one that properly identified three conceptual dimensions of international tourist typology and successfully provided measures of tourists’ novelty-seeking preferences on the three dimensions. The study demonstrated, however, that the scale would measure the novelty-seeking preferences of international tourists more effectively if it were supplemented by other measures.     

A cash flow approach to the statement of changes in financial position

Increased emphasis on managing and reporting the cash flows of companies has been articulated by academics, professional organizations, and business managers. However, traditional accounting textbooks and course syllabi have been slow to relinquish a working capital focus for the statement of changes in financial position (SCFP). This article presents a cash flow approach to the SCFP that is ideal for classroom instructional purposes because it is intuitively appealing, managerially oriented, and reflective of a growing number of companies' public disclosures.     

Persistence of Output Fluctuations Under Different Exchange Rate Regimes

In a recent paper, Giugale and Korobow (2000) present evidence that suggests that the time required by output to return to trend following a financial shock is faster under a flexible exchange rate regime than under a fixed exchange rate. In this paper, we use vector autoregression models to measure the persistence properties of output for a number of countries in the Asia–Pacific region. Our results suggest that output persistence is not uniquely related to a country's choice of exchange rate regime. The two countries in our sample with the least persistent output following a financial shock are Australia, where the exchange rate is fully flexible, and Hong Kong, where it is rigidly fixed via a currency board.     

Are school counselors an effective education input?

We exploit within-school variation in counselors and find that one additional counselor reduces student misbehavior and increases boys’ academic achievement by over one percentile point. These effects compare favorably with those of increased teacher quality and smaller class sizes.     

Opportunities to reduce road traffic injury: new insights from the study of urban areas

Abstract

Over the past four decades considerable efforts have been taken to mitigate the growing burden of road injury. With increasing urbanisation along with global mobility that demands not only safe but equitable, efficient and clean (reduced carbon footprint) transport, the responses to dealing with the burgeoning road traffic injury in low- and middle-income countries has become increasingly complex. In this paper, we apply unique methods to identify important strategies that could be implemented to reduce road traffic injury in the Asia-Pacific region; a region comprising large middle-income countries (China and India) that are currently in the throes of rapid motorisation. Using a convolutional neural network approach, we clustered countries containing a total of 1632 cities from around the world into groups based on urban characteristics related to road and public transport infrastructure. We then analysed 20 countries (containing 689 cities) from the Asia-Pacific region and assessed the global burden of disease attributed to road traffic injury and these various urban characteristics. This study demonstrates the utility of employing image recognition methods to discover new insights that afford urban and transport planning opportunities to mitigate road traffic injury at a regional and global scale.