Agritourism and off‐farm work: survival strategies for small farms

This study considers agritourism and off‐farm work as income diversification choices simultaneously and analyzes factors influencing such choices. Further, the study assesses the impact of agritourism, off‐farm work, and both on gross cash farm income and total farm household income. We utilized large set of nationwide farm survey data and selectivity‐based multinomial choice model. An important finding of our study is that small farms have higher household income if they choose both income diversification strategies rather than a single strategy. Results suggest that education, age of the operator, financial condition, and location of the farm are important factors driving income diversification alternatives. Finally, our study indicates that accounting for selectivity is essential to ensure unbiased and consistent estimates.     

Impact of contract farming on yield,costs and profitability in low‐value crop: evidence from a low‐income country

Lentils, a low‐value and highly nutritious crop, are Nepal's largest pulse cash crop. However, the majority of the nation's smallholders produce lentils on very small plots of land. The large gap in lentil yields between Nepal and other lentil‐producing countries underscores the importance of improving yields and income of smallholders. When it comes to the financial viability of small farms, particularly in developing countries, and globalisation, contract farming (CF) may prove useful in achieving efficiency and profitability in smallholder lentil farms in Nepal. This study employs the propensity score matching approach to examine the effects of the adoption of CF on yields, profitability and costs of smallholder lentil farms in Nepal. Findings from this study reveal that contrary to popular belief, CF adoption by lentil producers in Nepal has a positive and significant effect on per‐hectare revenues, profits and yield and a negative impact on variable and transportation costs. The study finds that only very smallholder lentil farms (0.01‐0.05 ha) benefit from CF.     

Can off farm employment affect the privatization of social safety net? The case of self-employed farm households

This study uses a two-stage econometric framework with farm household level data to investigate whether off-farm work of operators and spouses influences healthcare expenditures and retirement savings. Results indicate that agricultural policy discourages off-farm work by farm operators and spouses. However, off-farm work decisions of farm couples significantly decrease healthcare expenditures and increase retirement savings of farm households in the US. The effect of farm spouse’s off-farm employment on household retirement saving is more pronounced. These conclusions can extend to middle-income countries where off-farm work may enable farmers to afford better healthcare and retirement pension plans.     

Auditor Quality and Debt Covenants

This study examines the impact of auditor quality on financial covenants in debt contracts. We conjecture that high‐quality auditors have two related effects on these debt covenants: (i) they encourage fewer and less restrictive covenants by providing assurance to lenders at contract inception and, consequently, (ii) they ensure a lower probability of eventual covenant violations. Consistent with the conjectures, we find that auditor quality is negatively associated with the intensity and tightness of financial covenants. Specifically, high‐quality auditors are associated with fewer covenants (especially performance covenants) and less binding covenants. Additionally, we find that auditor quality is negatively associated with the likelihood of covenant violations. In an ancillary test, we provide evidence that high‐quality auditors mitigate the detrimental effect of covenant violations on the cost of borrowing. Together, these findings highlight the important role of auditors in debt contracting.     

Changing Patterns in Industrial R&D Management

A successful R&D manager is, in many ways, an agent of change. R&D managers must respond effectively to changes in domestic and global competition, product and process technologies, customer requirements, regulatory matters, and senior management's perception of the role R&D plays in a firm. The responses to these changes flow downstream from R&D to other parts of the organization, in the form of new materials, methods, processes, and products. To help us understand the changes facing R&D management, Ashok K. Gupta and David Wilemon present the results of a study that examines the ideas and experiences of 120 R&D directors from technology-based companies. The study explores the major changes that R&D management has undergone in recent years, the changes R&D managers expect to encounter during the next few years, and the causes of those changes. The respondents also identify the skills and knowledge they view as necessary for effective R&D management, and they assess their organizations' capabilities in those areas. According to the respondents, major changes that R&D has encountered include increased emphasis on such issues as cross-functional teamwork, R&D's contribution to both short- and long-term business results, R&D's capability to quickly bring to market new products that customers value, efficient use of R&D resources, and R&D alliances. Other changes noted by respondents include greater pressure to find new markets, increased attention on the effective management of technical personnel, and increased regulations and sensitivity to environmental issues. The knowledge domains that the respondents highlighted as having the greatest effect on R&D performance include such capabilities as understanding customer needs, monitoring market developments, commercializing new technologies, building cross-functional teams, managing multiple R&D projects, and accelerating new product development. According to the respondents, the largest gaps between required and current capabilities exist in several of the areas listed as being most important to effective R&D management, including monitoring market developments that can affect R&D activities and overall business performance, maintaining a spirit of inquiry while ensuring that R&D contributes to overall corporate performance, developing technology commercialization capabilities, fostering mutually profitable strategic alliances, and accelerating the development and commercialization of new products.     

A Refined Binomial Lattice for Pricing American Asian Options

We present simple and fast algorithms for computing very tight upper and lower bounds on the prices of American Asian options in the binomial model. We introduce a new refined version of the Cox-Ross-Rubinstein (1979) binomial lattice of stock prices. Each node in the lattice is partitioned into nodelets, each of which represents all paths arriving at the node with a specific geometric stock price average. The upper bound uses an interpolation idea similar to the Hull-White (1993) method. From the backward-recursive upper-bound computation, we estimate a good exercise rule that is consistent with the refined lattice. This exercise rule is used to obtain a lower bound on the option price using a modification of a conditional-expectation based idea from Rogers-Shi (1995) and Chalasani-Jha-Varikooty (1998). Our algorithms run in time proportional to the number of nodelets in the refined lattice, which is smaller than n^4/20 for n > 14 periods.     

BAYESIAN ESTIMATION OF T–G RIDGE MODEL

Ridge type analysis of the Theil–Goldberger mixed model, considered earlier by Saxena and Bhatta–charya (1983) for the non–Bayesian set–up, is discussed from the Bayesian view–point when a has a closed prior and the loss–function being squared error.     

Bounds for the variance of an inverse binomial estimator

Summary  B est [1] found the variance of the minimum variance unbiased estimator of the parameter p of the negative binomial distribution. M ikulski and Sm [2] gave an upper bound to it, easier to calculate than B est's expression and a good approximation for small values of p and large values of r (the number of successes). In this paper both lower bounds and closer upper bounds are derived.     

The incidence of Cash for Clunkers: Evidence from the 2009 car scrappage scheme in Germany

This paper investigates the German car scrappage program, focusing on the incidence of the premium. We ask how much of the €2500 ($3500) buyer subsidy is actually captured by the demand side. More precisely, we analyze the program’s impact on different car segments, allowing for heterogeneity in incidence at different points in the vehicle price distribution. Using a unique microtransaction data set, we find that the incidence of the subsidy strongly and significantly varies across price segments. Subsidized buyers of cheap cars paid a little more than comparable buyers who did not receive the subsidy, indicating incidence amounts slightly below 100 %. For more expensive vehicles, subsidized buyers were granted large extra discounts on top of the government premium, translating into incidence amounts considerably greater than 100 %. Taken together, this results in an aggregate incidence amount of up to plus €350 million, suggesting that the positive effect for expensive cars overcompensates the negative effect for small cars.