Unstable banking

We propose a theory of financial intermediaries operating in markets influenced by investor sentiment. In our model, banks make, securitize, distribute, and trade loans, or they hold cash. They also borrow money, using their security holdings as collateral. Banks maximize profits, and there are no conflicts of interest between bank shareholders and creditors. The theory predicts that bank credit and real investment will be volatile when market prices of loans are volatile, but it also points to the instability of banks, especially leveraged banks, participating in markets. Profit-maximizing behavior by banks creates systemic risk.     

Fitting Observed Demographic Rates with the Multiexponential Model Schedule: An Assessment of Two Estimation Programs

The process of finding the best fitting model can often be very time consuming and tedious. Most computer programs are very specialized, and many require initial parameter estimates to fit a particular curve. Those that are most useful are ones that are versatile in applications, and ones that allow inputs of "rough" parameter estimates for finding the optimal ones. This paper focuses on current approaches for fitting observed age-specific demographic data with the multiexponential model schedule and uses two curve-fitting computer programs: MODEL and TableCurve2D. These two programs are assessed according to how well, and how simply, they can be used to fit age-specific fertility, mortality, and migration rates.     

A Survey of Corporate Governance

This article surveys research on corporate governance, with special attention to the importance of legal protection of investors and of ownership concentration in corporate governance systems around the world.     

Determinants of Internationalization Strategies of Emerging Market Firms: A Multilevel Approach

Recently, debates about uniqueness of emerging market firms’ (EMFs) internationalization strategies were a focus of research. Yet, findings regarding their determinants are mixed, and conclusions on how EMFs’ internationalization strategies can be theoretically explained vary greatly. This article elaborates on the underlying reasons for these inconclusive results and addresses them by the development of a multilevel theoretical framework allowing for a better understanding of integrative influence of institutional, sector, and firm-specific determinants of EMFs’ internationalization strategies. This framework is validated by evidence from Russia, and a multiple case study approach is adopted to investigate the determinants of internationalization strategies of Russian firms.     

Monetary Regime Choice and Optimal Credit Rationing at the Official Rate: The Case of Russia

ABSTRACT

Stabilizing monetary policy in a small open economy is constrained by the open economy trilemma. In this paper, we investigate whether foreign exchange market interventions and the Central Bank’s credit rationing at the official rate (CROR) may soften this constraint and improve the results of monetary policy for different monetary regimes. We construct a dynamic stochastic general equilibrium (DSGE) model appropriate for analyzing the forward-looking behavior of households facing non-zero probabilities of losing access to financial market and CROR. We have found significant credit rationing in the quarterly Russian data of 2001:Q1–2014:Q2. The probability of losing access to financial market and the probability of CROR are estimated as 22% and 66%, respectively. Using Russian data of 2001:Q1–2014:Q2 we demonstrate that CROR provoked forward-looking activity in financial market, which led to more Ruble devaluation in the crises of 2008–2009. It improved poor countercyclical performance of two Russian monetary policy rules, whereas made small effect on welfare. Welfare maximization exercises reveal a tradeoff between low-inflation and high-welfare solutions and favor of a floating exchange rate regime. We found the optimal value of the probability of CROR in both exchange rate-based and Taylor rule-based models but resulting improvement in welfare is very small.     

On the analysis of a multi-threshold Markovian risk model

We consider a class of Markovian risk models perturbed by a multiple threshold dividend strategy in which the insurer collects premiums at rate c _i whenever the surplus level resides in the i-th surplus layer, i=1, 2, …,n+1 where n<∞. We derive the Laplace-Stieltjes transform (LST) of the distribution of the time to ruin as well as the discounted joint density of the surplus prior to ruin and the deficit at ruin. By interpreting that the insurer, whose gross premium rate is c, pays dividends continuously at rate d _i =c?c _i whenever the surplus level resides in the i-th surplus layer, we also derive the expected discounted value of total dividend payments made prior to ruin. Our results are obtained via a recursive approach which makes use of an existing connection, linking an insurer's surplus process to an embedded fluid flow process.     

Quantifying the defensive medicine contribution to primary care costs

Background:

Defensive medicine represents one cause of economic losses in healthcare. Studies that measured its cost have produced conflicting results.

Objective:

To directly measure the proportion of primary care costs attributable to defensive medicine.

Research design and methods:

Six-week prospective study of primary care physicians from four outpatient practices. On 3 distinct days, participants were asked to rate each order placed the day before on the extent to which it represented defensive medicine, using a 5-point scale from 0 (not at all defensive) to 4 (entirely defensive).

Main outcome measures:

This study calculated the order defensiveness score for each order (the defensiveness/4) and the physician defensive score (the mean of all orders defensiveness scores). Each order was assigned a weighted cost by multiplying the total cost of that order (based on Medicare reimbursement rates) by the order defensiveness score. The proportion of total cost attributable to defensive medicine was calculated by dividing the weighted cost of defensive orders by the total cost of all orders.

Results:

Of 50 eligible physicians, 23 agreed to participate; 21 returned the surveys and rated 1234 individual orders on 347 patients. Physicians wrote an average of 3.6?±?1.0 orders/visit with an associated total cost of $72.60?±?18.5 per order. Across physicians, the median physician defensive score was 0.018 (IQR?=?[0.008, 0.049]) and the proportion of costs attributable to defensive medicine was 3.1% (IQR?=?[0.5%, 7.2%]). Physicians with defensive scores above vs below the median had a similar number of orders and total costs per visit. Physicians were more likely to place defensive orders if trained in community hospitals vs academic centers (OR?=?4.29; 95% CI?=?1.55–11.86; p?=?0.01).

Conclusions:

This study describes a new method to directly quantify the cost of defensive medicine. Defensive medicine appears to have minimal impact on primary care costs.     

ELECTORAL MALDISTRICTING

We introduce a framework to theoretically and empirically examine electoral maldistricting—the intentional drawing of electoral districts to advance partisan objectives, compromising voter welfare. We identify the legislatures that maximize voter welfare and those that maximize partisan goals, and incorporate them into a maldistricting index. This index measures the intent to maldistrict by comparing distances from the actual legislature to the nearest partisan and welfare-maximizing legislatures. Using 2008 presidential election data and 2010 census-based district maps, we find a Republican-leaning bias in district maps. Our index tracks court rulings in intuitive ways.