Dual Job Holding and the Gig Economy: Allocation of Effort across Primary and Gig Jobs

This article explored motivations for allocating effort between “gig” and primary jobs using a sample of Amazon Mechanical Turk workers. We found that main job hour constraints, a commonly cited rationale for traditional moonlighting, were a motivation for men but not for women. Other factors affecting effort were also gender specific: Men were driven to spend more time on gig jobs to increase their incomes, while women were motivated by insecurity in their main job. Women, though not men, who were more depressed based on the Center for Epidemiologic Studies Depression scale earned less in their gig economy job. Finally, higher risk aversion reduced income from gig work for men, but not women. We concluded that motivations for effort allocated between the primary and gig jobs differ from those identified in past literature as important for traditional moonlighting decisions.     

The Future Is Rural: Societal Adaptation to Energy Descent

Our present era of high-energy modernity will likely end over the course of the 21^st century, as fossil hydrocarbons wane and new energy technologies fail to compensate. Long-term trends of urbanization will reverse and a migration back to the countryside to regions of high biocapacity will ensue during the coming decades of energy descent. Food will become a central and organizing concern for de-industrializing populations, and key concepts and general methods to secure food supplies using less mechanization and with few outside inputs are presented. Given that high social complexity is institutionalized, with system identities locked-in, we should not expect a planned response to declining net energy. Instead, the so-called Great Simplification will unfold through a series of crises that force reorganization and alter belief systems. Resilience science suggests a role for promoting system transformability along more benign paths and into social forms that are more frugal.     

Burden of venous leg ulcers in the United States

Objective:

To estimate the annual incremental per-patient and overall payer burden (2012USD) of venous leg ulcers (VLU) in the US.

Methods:

Beneficiaries with and without VLU were identified using two de-identified insurance claims databases: aged 65+ from a 5% random sample of Medicare beneficiaries (2007–2010: n?～?2.3 million); and aged 18–64 from a privately-insured population (2007–2011: n?～?8.4 million). The index date was selected as the date of a VLU claim with no other VLU diagnoses in the preceding 12 months for the VLU cohort and as the date of a random medical claim for the non-VLU patients. These groups were matched using propensity scores to account for differences in demographics, comorbidities, resource utilization, and costs in the 12 month pre-index period. Medical resource use and costs incurred during the 12 month follow-up period were calculated for both payers. Drug costs and indirect work-loss due to disability and medically-related absenteeism were estimated for the privately-insured sample only. Annual VLU incidence rates were also estimated for both payers.

Results:

Data for 58,672 matched VLU/non-VLU pairs of Medicare and 22,476 matched pairs of privately-insured patients were analyzed. Relative to matched non-VLU patients, VLU patients used more medical resources and incurred annual incremental medical costs of $6391 in Medicare ($18,986 vs $12,595), and $7030 ($13,653 vs $6623) in private insurance ($7086 including drug costs). Compared with non-VLU patients, privately-insured VLU patients had more days missed from work (14.0 vs 10.0), resulting in 29% higher work-loss costs (comparisons significant at p?Limitations:

Findings did not account for out-of-pocket payments or other indirect costs (e.g., lost productivity), and relied on accuracy of diagnosis and procedure codes contained in claims data.

Conclusion:

These findings suggest an annual US payer burden of $14.9 billion.     

Risk,learning, and technology adoption

This article explores how decision makers learn and use information, with an application to the adoption of biotechnology in agriculture. The empirical analysis relies on experimental and survey data measuring risk preferences, learning processes, and the adoption of genetically modified (GM) seeds among U.S. grain farmers. While controlling for risk aversion, we link individual learning rules with the cognitive abilities of each decision maker and their actual GM adoption decisions. We find evidence that very few individuals are Bayesian learners, and that the population of farmers is quite heterogeneous in terms of learning rules. This suggests that Bayesian learning (as commonly assumed in the analysis of agricultural technology adoption) is not an appropriate characterization. In addition, we do not find a strong relationship between observed learning styles and the timing of GM seed adoption. To the extent that learning is a key part of the process of technology adoption, this suggests the presence of much unobserved heterogeneity in learning among farmers.     

Prospective payments and hospital efficiency

This paper examines the effects of the Prospective Payment System on the behavior of hospitals with respect to their capital allocations and the efficiency with which they produce in-patient care. A theoretical model adapted from Pope [1989] yields the testable hypotheses that as a hospital's Medicare population increases the hospital will supply greater levels of capital and produce in-patient care using less technically efficient methods. A two stage test of these hypotheses is run on a sample of US non-federal hospitals. Results from patient demand functions and a stochastic profit frontier are consistent with the theoretical model.     

Gender and Job Search in Developing Country Labor Markets

Gender discrimination in developing country labor markets raises the concern that women may be unable to find alternative employment following public-sector job loss. Theoretical and empirical results in this article suggest that, in segmented labor markets, observed unemployment spells may actually be shorter for women than for men. This is a result of the relatively strong incentive wage-sector discrimination creates for women to accept more readily available, but less-remunerative, nonwage-sector positions.     

Accounting and Valuation: How Helpful Are Recent Accounting Rule Changes?

The longstanding debate over the proper definition of “earnings”—whether investors when setting stock prices focus primarily on GAAP earnings or other measures like operating cash flow—is both misguided and theoretically unresolvable. The biggest problem faced by investors in evaluating earnings reports is not their inability to understand the effects of the different accounting methods companies use when aggregating accounting line items into reported net income. More challenging, and more critical to the investment process, is getting complete and reliable information about the line items themselves. The authors' underlying premise is that investors, when provided sufficient information about these “components” of earnings, can combine or reconfigure them in whatever way they find most useful. But without sufficient and reliable information about the individual line items, investors will find it difficult to understand how earnings are generated and thus to produce the forecast of future earnings necessary to value a company. In the past few years, there have been significant rule changes in accounting for employee options, derivatives, and special purposes entities. The authors evaluate the extent to which the new rules encourage disclosures that are helpful from a valuation perspective. Although there has been some progress, financial reporting in each of the three areas continues to fall well short of providing the complete, disaggregated data required to value a firm with confidence.     

Ex Ante Evaluation of Drought‐Tolerant Varieties in Eastern and Central Africa

This study presents a model to estimate potential benefits of drought‐tolerant varieties of maize, sorghum and millet in Kenya, Uganda and the Amhara region of Ethiopia. In addition to the benefits from mean yield increases, the model takes into account risk benefits associated with yield‐stabilising varieties. Ex ante estimates provided for different drought zones and for different household types within drought zones of each country suggest that drought resistance generates substantial benefits from both mean yield improvements and yield variance reductions for both consumers and small, medium and large producers.     

Measuring soil quality dynamics A role for economists, and implications for economic analysis

Measuring soil quality is extremely difficult, yet it has clear economic importance. In particular, there is a great deal of empirical interest in the dynamics of soil quality evolution when land managers respond to policies and other incentives. Yet current methodologies for measuring changes in agricultural land quality are largely static and rely heavily either on incomplete measures such as proxy variables, or ad hoc indexes of selected soil characteristics. Moreover, much empirical work relies on static econometric techniques or simulation models. In this paper, we develop a means to infer soil quality changes from input and output data using a dynamic production function model. Using data from field experiments, we estimate the model in a way that allows the recovery of a dynamic measure of soil quality whose evolution depends on variations in management practices. Our methodology and findings will help provide firmer empirical foundations for analyses of the economic implications of land degradation and the soil quality implications of agricultural policies.