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For Colombia, cocaine is a product that is sold for profit in the United States. Mainstream political economy, let alone the other social sciences, has little to say about the process of extraction of surplus value in the production and distribution of cocaine, in other words, how cocaine is exploited for profit. The paper argues that the conventional framework, which locates profits generated from the cocaine trade in an economic model of crime shields a much deeper reality than simply ‘money laundering’ as a ‘legal problem.’ The central argument is that the cocaine trade in general, and the cocaine economy in particular, are a vital aspect of U.S. imperialism in the Colombian economic system. The paper tackles a critical problem: the place of cocaine in the re-colonization of Colombia – defined as ‘narcocolonialism’ – and the implications of the cocaine trade generally for U.S. imperialism in this context. The paper evaluates selected literature on the Colombian cocaine trade and offers an alternative framework underpinned by a political economy analysis drawn from Marx and Lenin showing that cocaine functions as an ‘imperial commodity’ – a commodity for which there exists a lucrative market and profit-making opportunity. It is also a means of capital accumulation by what could be termed, Colombia's comprador ‘narcobourgeoisie;’ dependent on U.S. imperialism. It is hoped that by analyzing cocaine with a Marxist interpretation and political economy approach, then future developments in understanding drugs in Colombia's complex political economy may be anticipated.

There has been considerable debate concerning the contribution of venture capitalists (VCs) to their investee companies (Sapienza, Manigart, & Vermeir, 1996). This research has shown that VCs can add value and impact the strategic direction of their investee firms through their skills and knowledge. These skills lie in two distinct areas: financial (monitoring) and non-financial (strategic and operational involvement) skills (Pruthi, Wright, & Lockett, 2003). The monitoring and involvement of VC firms in their investees have been shown to vary according to their needs (Lerner, 1995). On balance, the evidence suggests greater involvement during the more uncertain earlier stages than during the later stages when the firm is more established (Sapienza, Amason, & Manigart, 1994; Elango, Fried, Hisrich, & Polonchek, 1995). This suggests that the VC's ability to bring about change will be mediated by the impact of the history of the firm via path dependency (Teece, Pisano, & Shuen, 1997).

Climate change is a massive multidimensional shift. Temperature shifts, in particular, have important implications for urbanization, agriculture, health, productivity, and poverty, among other things. While much research has documented rising mean temperature levels, the authors also examine range-based measures of daily temperature volatility. Specifically, using data for select US cities over the past half-century, the authors compare the evolving time series dynamics of the average daily temperature (AVG) and the diurnal temperature range (DTR; the difference between the daily maximum and minimum temperatures). The authors characterize trend and seasonality in these two series using linear models with time-varying coefficients. These straightforward yet flexible approximations provide evidence of evolving DTR seasonality and stable AVG seasonality.

Married couples receive tax benefits such as favorable tax rates, higher exclusions, higher phase-outs, and combined deductions. However, joint and several tax liability is a major issue facing these taxpayers. The term innocent spouse relief, within the Internal Revenue Code, is a direct result of one spouse failing to satisfy the joint liability for the married couple. Since both individuals are jointly and severally liable for the combined liability, the innocent spouse may be responsible for the liability in whole or in part. Our study examines this highly litigated arena of innocent spouse relief. To assist in this area of taxation, the Internal Revenue Service has provided taxpayers and tax practitioners with guidance. Revenue Procedure 2003-61 (2003-2 CB 296) outlines factors useful in determining whether innocent spouse relief should be granted. Additionally, this study creates a predictive model containing only three significant factors (economic hardship, knowledge/reason, significant benefit) capable of predicting with approximately 89% accuracy. These same three variables are significant after running multiple regression with p-values of 0.002 (economic hardship), 0.000 (knowledge/reason to know), and 0.001 (significant benefit). These factors provide valuable insight to practitioners when advising clients on challenging or accepting the Internal Revenue Service's decision. Additionally, abuse is marginally significant in the regression model. Also, judge gender and political affiliation are analyzed. However, the gender of the judge and political affiliation fail to be statistically significant using the chi-square test and regression model.

The authors propose to estimate a varying coefficient panel data model with different smoothing variables and fixed effects using a two-step approach. The pilot step estimates the varying coefficients by a series method. We then use the pilot estimates to perform a one-step backfitting through local linear kernel smoothing, which is shown to be oracle efficient in the sense of being asymptotically equivalent to the estimate knowing the other components of the varying coefficients. In both steps, the authors remove the fixed effects through properly constructed weights. The authors obtain the asymptotic properties of both the pilot and efficient estimators. The Monte Carlo simulations show that the proposed estimator performs well. The authors illustrate their applicability by estimating a varying coefficient production frontier using a panel data, without assuming distributions of the efficiency and error terms.

We demonstrate in a laboratory experiment that the effectiveness of performance-contingent incentives is inversely related to risk-aversion levels. For about 16.5% of participants, performance fails to improve under performance-pay, and the probability of such failure increases with risk-aversion. This phenomenon works in part through the reduced effort level of more risk-averse individuals when effort level is positively correlated with risk exposure. It is also associated with higher self-reported levels of stress by more risk-averse people working under performance-contingent pay. We find no evidence of such stress causing decrements in the quality of effort affecting performance after controlling for effort level. However, controlling for effort, more risk-averse participants perform better under a fixed salary, leaving less room for improvement under performance-pay.