The global LeChatelier Principle and multimarket equilibria

LeChatelier (Comptes Rendus 99:786, 1884) and LeChatelier (Ann Mines 13(2):157, 1888) proposed that the adjustment of a physical system to a disturbance in its equilibrium was smaller as constraints are added to the adjustment process. Samuelson (Econometrica 28:368–379, 1960) showed that this Principle applied to a stable multimarket equilibrium for the case that all commodities are gross substitutes. We note that the Principle also applies to the stable equilibria of markets for which commodities can also be gross complements as formulated by Morishima (Osaka Econ Pap 1:101–113, 1952). Further, the Morishima and gross substitute cases are the only cases to which the Principle can apply, based only upon the stability hypothesis and a specification of the gross substitute/complement relations among commodities. We show that the Milgrom and Shannon (Econometrica 62:157–180, 1994) single crossing conditions specified for monotone comparative statics can be configured appropriate to the Morishima case to give global conditions for the LeChatelier Principle to apply to a multimarket equilibrium.     

Counterproductive work behavior as protest

We suggest that counterproductive work behaviors can be viewed as a form of protest in which organizational members express dissatisfaction with or attempt to resolve injustice within the organization. Incorporating the three key predictors (injustice, identity and instrumentality, [Klandermans, B., (1997). The social psychology of protest. Oxford: Blackwell.]) from the protest literature leads us to propose that counterproductive behaviors can be both individual and collective. Crossing this dimension with concepts of organizational and individual deviance leads to a fourfold classification of counterproductive work behaviors.     

Regime switching and wages in major league baseball under the reserve clause

Over the course of the twentieth century, American wages increased by a factor of about 100, while the wages of professional baseball players increased by a factor of 450, but that increase was neither smooth nor consistent. We use a unique and expansive dataset of salaries and performance variables of Major League Baseball pitchers that spans over 400 players and 60 years during the reserve clause era to identify factors that determine salaries and examine how the importance of various factors have changed over time. We employ a Markov regime-switching regression model borrowed from the macroeconomics literature, which allows regression coefficients to switch exogenously between two or more values as time progresses. This method lets us identify changes in wage determination that may have occurred because of a change in the league’s competitiveness, a change in the relative bargaining power between players and teams, or other factors that may be unknown or unobservable. We find that even though Major League Baseball was a tightly controlled monopsony with the reserve clause, there was a significant shift in salary determination that lasted from the Great Depression until after World War II where players’ salaries were more highly linked to their recent performance.     

Social signaling and interorganizational relationships: Lessons learned from the professional sports industry

In today’s connected economy, interorganizational relationships are increasingly important. Whether government-to-government, political party-to-political party, business-to-business, department-to-department, or some other interorganizational pairing, these relationships can provide organizations with signals used to identify and better respond to changes in their environment and in their interorganizational relationships. This enables astute organizations to not only understand how others will interpret the social signals they send, but also to shape those signals in ways that will improve their interorganizational relationships. We illustrate this herein, using the public and readily recognizable relationships involved with labor relations in the professional sports industry. We show how social signals can explain the way organizations change and adapt to their environments, and how these changes send messages to related organizations. Finally, we provide a set of recommended advice for managers based on this case analysis.     

Incorporating a Short-Term Study Abroad Service Trip for Educating International Entrepreneurship in the BOP Market

ABSTRACT

The bottom of the pyramid (BOP) market has gained importance in international entrepreneurship due to its large market potential. Drawing on the literature of international business education, as well as social entrepreneurship and international entrepreneurship education, we propose a course to educate students how to develop business intimacy with the BOP community. We employ the experiential-learning pedagogical framework and design elements including a short-term study abroad service trip, an entrepreneurship project, and structured reflections. Using both qualitative and quantitative data, we demonstrate that the course facilitates students’ learning in the key areas of international and social entrepreneurship, including the economic and social value of community embeddedness for BOP ventures, the emotional intelligence in interacting with BOP communities, and the attitude toward social entrepreneurship.     

Spatial econometric Monte Carlo studies: raising the bar

We discuss Monte Carlo methodology that can be used to explore alternative approaches to estimating spatial regression models. Our focus is on models that include spatial lags of the dependent variable, e.g., the SAR specification. A major point is that practitioners rely on scalar summary measures of direct and indirect effects estimates to interpret the impact of changes in explanatory variables on the dependent variable of interest. We argue that these should be the focus of Monte Carlo experiments. Since effects estimates reflect a nonlinear function of both \(\beta \) and \(\rho \), past studies’ focus exclusively on \(\beta \) and \(\rho \) parameter estimates may not provide useful information regarding statistical properties of effects estimates produced by alternative estimators. Since effects estimates have recently become the focus of inference regarding the significance of (scalar summary) direct and indirect impacts arising from changes in the explanatory variables, empirical measures of dispersion produced by simulating draws from the (estimated) variance–covariance matrix of the parameters \(\beta \) and \(\rho \) should be part of the Monte Carlo study. An implication is that differences in the quality of estimated variance–covariance matrices arising from alternative estimators also plays a role in determining the accuracy of inference. An applied illustration is used to demonstrate how these issues can impact conclusions regarding the performance of alternative estimators.     

The revenue potential of a financial transaction tax for US financial markets

This paper estimates the revenue potential of a financial transaction tax (FTT) for US financial markets. We focus on analyzing the revenue potential of the Inclusive Prosperity Act that was introduced in the US House of Representatives in 2012 and the US Senate in 2015. The tax rates stipulated in this Act include 0.5% (50 basis points (bps)) for all stock transactions, 0.1% (10 bps) for all bond transactions and 0.005% (0.5 bps) on the notional value of all derivative trades. We examine three sets of evidence to generate potential revenue estimates: 1) the levels of transaction costs in US financial markets over time and within the range of financial market segments; 2) the extent of trading elasticities under various trading conditions; and 3) the current level of trading activity in US financial markets. Based on this evidence, we conclude that a US FTT operating at the tax rates stated above would generate about $220 billion per year, equal to about 1.2% of the current US GDP.     

Habits of Thought and the Process of Economic Development: Remarks on Receiving the Veblen-Commons Award

Among the many insightful contributions of Thorstein Veblen and John R. Commons is that habits of thought matter. Habits of thought condition policy and place limits on what is possible. This article tackles five habits of thought that inhibit the process of economic development. These include: (i) the confusion of economic development with economic growth; (ii) the crowding-out hypothesis; (iii) the concept of the steady state economy; (iv) the peak oil hypothesis; and (v) the inevitability of economic progress. None of the discussions in this article are intended to minimize the importance of other very real constraints to the development process. A few of these other constraints are war, racism, sexism, political instability, corruption, and climate change.     

Real-world utilization of molecular diagnostic testing and matched drug therapies in the treatment of metastatic cancers

Aims: To assess the frequency of biopsies and molecular diagnostic testing (human DNA/RNA analysis), anti-cancer drug use (genomically-matched targeted therapy [GMTT], unmatched targeted therapy [UTT], endocrine therapy [ET], and chemotherapy [CT]), and medical service costs among adults with metastatic cancer.

Methods: Adults diagnosed with metastatic breast, non-small cell lung (NSCLC), colorectal, head and neck, ovarian, and uterine cancer (2010Q1–2015Q1) were identified in the OptumHealth Care Solutions claims database and followed from first metastatic diagnosis for ≥1 month and until the end of data availability. Utilization was assessed for each cancer cohort (all and patients aged ≥65 years); per-patient-per-month (PPPM) medical service costs were assessed for all patients. Testing frequency estimates were applied to Surveillance, Epidemiology, and End Results Program data to estimate the number of untested patients (2010–2014).

Results: Patients with metastatic cancer (n?=?8,193; breast [n?=?3,414], NSCLC [n?=?2,231], colorectal [n?=?1,611], head and neck [n?=?511], ovarian [n?=?275], and uterine [n?=?151]) were 63 years old (mean), with 11.1–22.2 months of observation. Biopsy and molecular diagnostic testing frequencies ranged from 7% (uterine) to 73% (ovarian), and from 34% (head and neck) to 52% (breast), respectively. Few were treated with GMTT (breast, 11%; NSCLC, 9%; colorectal, 6%). Treatment with UTT ranged from 0.7% (uterine) to 21% (colorectal). Biopsy, diagnostic testing, and anti-cancer drug therapy were less frequent for those ≥65 years. Medical service costs (PPPM, mean) ranged from $6,618 (head and neck) to $9,940 (ovarian). The estimated number of untested new patients with metastatic cancer was 636,369 (all) and 341,397 (≥65).

Limitations: In addition to the limitations of claims analyses, diagnostic testing frequency may be under-estimated if patients underwent testing prior to study inclusion.

Conclusions: The low frequency of molecular diagnostic testing suggests there are opportunities to better inform management of patients with advanced cancer, particularly decisions to treat with GMTT.     

Wealth inequality: Theory,measurement and decomposition

This paper reviews the basic principles of inequality measurement, underlining the advantages and shortcomings of alternative measures from a theoretical standpoint and in the context of the study of the distribution of wealth. Adopting the two most popular measures, the Gini index and the P‐shares, the paper documents wealth inequality in Canada using the 1999, 2005 and 2012 Survey of Financial Security (SFS). It carries out several decompositions with covariates, featuring DFL‐type reweighting methods and Gini and P‐shares RIF regressions. The latter parallel decompositions deepen our understanding of how changes in socio‐demographic characteristics, including the compensating role of family formation and human capital, impact wealth inequality.