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.     

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.     

The effect of service quality on trust and commitment varying across generations

We examine the effect of service quality on consumer trust and commitment in the context of obtaining a financial loan and how these relationships vary across different generational cohorts. We find that the service quality offered by a loan officer has a significant effect on consumer trust towards a financial institution, which in turn influences consumer commitment to a financial institution for a future transaction. We also find that relative strengths of a few paths in the model differ across different age cohorts, indicating some generational variability in the relationship between service quality, trust and commitment.     

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.     

Implications of Debt Renegotiation for Optimal Bank Policy and Firm Behavior

This paper analyzes the problems associated with the renegotiation of debt contracts involving a bank (the lender) and a firm (the borrower) when the latter is operated by a risk averse manager. Firms undertake risky projects with loan capital borrowed from the bank. When a firm cannot pay off a loan it is technically bankrupt. Both the borrower and the lender may however experience a Pareto-improvement in their positions by renegotiating the loan. By renegotiating the terms of the debt the financially distressed firm can avoid the stigmatization of bankruptcy and the bank can avoid the costs of seizing the borrower's assets. However, our main finding is that, from the bank's point of view, renegotiating as a policy of recovering loan payments may be inefficient in practice because of false bankruptcy claims and moral hazard problems associated with exposure of the borrowing firm to the risk of default. We present a solution to the false bankruptcy claim problem that involves a mixe d strategy between asset seizure by the bank and debt renegotiation.     

Pythagorean generalization of testing the equality of two symmetric positive definite matrices

We provide a new test for equality of two symmetric positive-definite matrices that leads to a convenient mechanism for testing specification using the information matrix equality or the sandwich asymptotic covariance matrix of the GMM estimator. The test relies on a new characterization of equality between two $k$ dimensional symmetric positive-definite matrices $A$ and $B$: the traces of $A{B}^{?1}$ and $B{A}^{?1}$ are equal to $k$ if and only if $A=B$. Using this simple criterion, we introduce a class of omnibus test statistics for equality and examine their null and local alternative approximations under some mild regularity conditions. A preferred test in the class with good omni-directional power is recommended for practical work. Monte Carlo experiments are conducted to explore performance characteristics under the null and local as well as fixed alternatives. The test is applicable in many settings, including GMM estimation, SVAR models and high dimensional variance matrix settings.     

Household wealth accumulation and portfolio choices in Korea

This paper constructs a quantitative lifecycle model with uninsurable labor income and housing return risk to investigate how Korean households make saving and portfolio decisions. The model not only incorporates the special roles housing plays in the portfolio of households: collateral, a source of service flows, as well as a source of potential capital gains or losses, but also adds to existing models of wealth accumulation some unique institutional features present in Korea, namely the rental system (‘chonsae’) and the lack of a mortgage system. When the model is calibrated to match the Korean economy, several key features of the data are better able to be reproduced. The paper also analyzes the role of institutional features by comparing several alternative housing market arrangements to assess their impact on wealth accumulation, portfolio choices, and homeownership. A 10 percentage points reduction in down-payment requirement is associated with approximately 1 percentage point increase in the aggregate homeownership ratio in Korea. Lower down-payment also increases the fraction of aggregate wealth held in housing assets but lowers aggregate net worth with mixed demographic implications.     

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.     

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.