Evaluating spatial and temporal variation in agricultural output elasticities in Turkey

This study evaluates spatial variation in the relationship between agricultural output and input use across Turkey. The potential impact of the national agricultural policy reform introduced in 2001 on the spatial variation in agricultural output elasticities across the country was explored. By applying a spatial production function to the province‐level data in 2000 and 2007, spatial heterogeneity in the variance of provincial total factor productivity and the input factor‐output elasticities was identified across the country. Results show that the disparities in agricultural activities and geographic conditions affected return from input factors. Empirical findings from a spatial spillover model also suggest that changes in the input factor‐output elasticities varied significantly across Turkey between 2000 and 2007, after the policy reform. Results suggest that future policy reform that recognizes regional comparative advantage through understanding the geographic heterogeneity of the agricultural sector is important for enhancing Turkey's agricultural output.     

Consumers’ use of information intermediaries and the impact on their information search behavior in the financial market

An information intermediary is a human or a nonhuman party designed to assist consumers in information processing. The current study identifies factors determining the likelihood of using human information intermediaries and the effects of using information intermediaries on the amount and the pattern of overall information search. The proposed model is built based on a value‐intention framework and tested in the context of financial investment decisions. The results indicate that a low level of perceived expertise in financial management, a large amount of total financial assets, and a high opportunity cost of time enhance the perceived value of information intermediaries, thus increasing the likelihood of using information intermediaries. We also find that the use of information intermediaries is positively associated with the overall extent of information search and influences the likelihood of using other information sources.     

Understanding college students' opinions on a smoking policy

Because of the negative aspects of smoking, the US National Center on Addiction and Substance Abuse has recommended that university campuses should be smoke free. The purpose of this research was to learn students' opinions about the effectiveness of a smoking policy on campus. The policy simply stated there should be no smoking within 30 feet of a building. However, no areas were designated as smoking areas. Using phenomenological inquiry, the authors observed and interviewed both smoking and non‐smoking students. Findings suggest that the existing smoking policy was weak and often ignored. Students felt the purpose of the smoking policy should be clearly stated because they were not sure if the policy was intended to make smokers quit or prevent them from smoking in front of doors. This study demonstrates the utility of careful observation as a prelude to the design and implementation of qualitative data collection methods. The results indicate observation is a valuable part of a qualitative research strategy.     

Racial and ethnic differences in housing demand: An econometric investigation

This article empirically investigates the sources of housing demand differences between racial (black and white) and ethnic (Hispanic and non-Hispanic) groups. We estimate the tenure-adjusted housing demand equations from the 1989 American Housing Survey (AHS) national sample data and measure the effects of different sources for demand disparities in housing demand, but much less so in explaining racial differences in housing demand. Specifically, 98% (96%) of the housing demand differences between Hispanic and non-Hispanic owners (renters) is due to differences in group endowments. For the racial groups, 29% (51%) of the housing demand differences between black and white owners (renters) is attributable to differences in group endowments. The residual differences explain 71% and 49% of the black-white differentials for owners and renters, respectively. The residual components in our model capture the effect of institutional and structural factors intrinsic to the housing market (such as racial discrimination or residential segregation) and/or the influence of important omitted or harder-tomeasure variables correlated with race or ethnicity (such as wealth, employment history, credit history, and cultural differences in housing consumption).     

Monotonicity and Rationalizability in a Large First Price Auction

This paper proves that the monotonicity of bidding strategies together with the rationality of bidders implies that the winning bid in a first price auction converges to the competitive equilibrium price as the number of bidders increases ( Wilson, 1977 ). Instead of analysing the symmetric Nash equilibrium, we examine rationalizable strategies ( Bernheim (1984) , Pearce (1984) ) among the set of monotonic bidding strategies to prove that any monotonic rationalizable bidding strategy must be within a small neighbourhood of the „truthful” valuation of the object, conditioned on the signal received by the bidder. We obtain an information aggregation result similar to that of Wilson (1977) , while dispensing with almost all symmetric assumptions and using a milder solution concept than the Nash equilibrium. In particular, if every bidder is ex ante identical, then any rationalizable bidding strategy must be within a small neighbourhood of the symmetric Nash equilibrium. In a symmetric first price auction, the symmetry of outcomes is implied rather than assumed.     

Earnings management and deregulation: The case of motor carriers

This study investigates the discretionary accounting choices of federally-regulated interstate motor carriers during the period in the late 1970s when the U.S. government successfully deregulated the industry. We predict that motor carriers were likely to use income-decreasing earnings management to lessen the public perception of excessive industry profits and thus to avoid deregulation that during this period of heightened political cost.     

Green accounting: Reflections from a CSR and environmental disclosure perspective

In this commentary, we reflect on Thornton's (2013) extension to his original CA Magazine article on environmental accounting (Thornton, 1993) as well as the original contribution. Given our background in social and environmental disclosure research, we question Thornton's narrow focus on environmental accounting as it relates to the debits and credits of financial reporting, and we attempt to illustrate the problems that voluntary environmental disclosure creates with respect to reduced incentives for companies to improve environmental performance. We conclude by identifying our concerns with the future of environmental accounting given the recent ‘rediscovery’ of the topic by mainstream accounting researchers.     

Testing for unobserved heterogeneity in exponential and Weibull duration models

We examine the use of the likelihood ratio (LR) statistic to test for unobserved heterogeneity in duration models, based on mixtures of exponential or Weibull distributions. We consider both the uncensored and censored duration cases. The asymptotic null distribution of the LR test statistic is not the standard chi-square, as the standard regularity conditions do not hold. Instead, there is a nuisance parameter identified only under the alternative, and a null parameter value on the boundary of the parameter space, as in Cho and White (2007a). We accommodate these and provide methods delivering consistent asymptotic critical values. We conduct a number of Monte Carlo simulations, comparing the level and power of the LR test statistic to an information matrix (IM) test due to Chesher (1984) and Lagrange multiplier (LM) tests of Kiefer (1985) and Sharma (1987). Our simulations show that the LR test statistic generally outperforms the IM and LM tests. We also revisit the work of van den Berg and Ridder (1998) on unemployment durations and of Ghysels et al. (2004) on interarrival times between stock trades, and, as it turns out, affirm their original informal inferences.     

An empirical analysis of property appraisal and mortgage redlining

The recent literature advances a hypothesis that addresses the possibility of mortgage redlining caused by a dynamic information externality in property appraisals and mortgage lending. In particular, Lang and Nakamura (1993) hypothesize that because property appraisals depend on past transactions, appraisals in neighborhoods where transactions were infrequent tend to be less precise. The greater uncertainty about house valuation in such neighborhoods can lead mortgage lenders to impose stringent requirements on borrowers. Lang and Nakamura's article, like most economic analysis of property appraisals, is theoretical. Using a sample of mortgages purchased by Fannie Mae, we present preliminary research results that cast doubt on appraisal behavioral rules such as weighted averages or backward-looking expectations on which Lang and Nakamura and other theoretical studies are based. Instead, our results refocus attention on the moral hazard issues of appraisal. We find that in more than 80 percent of the cases, the appraisal is between 0 and 5 percent above the transaction purchase price, in only 5 percent of the cases is the appraisal lower, and in 30 percent of the cases, the appraisal and transaction prices are identical. It would take a strong statistical model to generate such occurrences. Our resutls also indicate that appraisal outcomes are used as a risk factor with different weights for loans with different characteristics (loan-to-value ratios and house prices). The results suggest that more empirical investigation of appraisal practices be conducted to verify the validity of conventional wisdom embedded in theoretical studies, and we offer an econometric framework toward this end.     

A decision model for regional industrial recruitment and development

Although the practice of industrial recruitment is widespread among regions, its objectives and constraints are neither well established nor carefully evaluated in determining the most desirable industries. As a result, many regions frequently resort to a blind scramble for new industries. This paper suggests a decision model for a regional economy to determine the priority in industrial recruitment. The problem is formulated in terms of a mathematical programming model in which the objectives and constraints are explicitly stated. Regional input-output, table provides additional constraints in the model. The input-output table is also used in testing the economic feasibility of optimal solutions.