Treatment of postmenopausal vaginal atrophy with 10-μg estradiol vaginal tablets

Postmenopausal estrogen deficiency can lead to symptoms of urogenital atrophy. Individuals with urogenital atrophy have symptoms that include vaginal dryness, vaginal and vulval irritation, vaginal soreness, pain and burning during urination (dysuria), increased vaginal discharge, vaginal odour, vaginal infections, recurrent urinary tract infections, pain associated with sexual activity (dyspareunia) and vaginal bleeding associated with sexual activity. Despite the frequency and effects of vaginal atrophy symptoms, they are often under-reported and, consequently, under-treated. Therefore, care of a menopausal woman should include a physical assessment of vaginal atrophy and a dialogue between the physician and the patient that explores existing symptoms and their effect on vulvovaginal health, sexuality and quality-of-life issues. The development of the ultra-low-dose 10-μg estradiol vaginal tablets is in line with the requirements of regulatory agencies and women's health societies regarding the use of the lowest effective hormonal dose. Because of its effectiveness and safety profiles, in addition to its minimal systemic absorption, the 10-μg estradiol vaginal tablet can offer greater reassurance to health-care providers and postmenopausal women with an annual estradiol administration of only 1.14 mg.     

Truncated location-scale non linear regression models

We present a class of truncated non linear regression models for location and scale where the truncated nature of the data is incorporated into the statistical model by assuming that the response variable follows a truncated distribution. The location parameter of the response variable is assumed to be modeled by a continuous non linear function of covariates and unknown parameters. In addition, the proposed model also allows for the scale parameter of the responses to be characterized by a continuous function of the covariates and unknown parameters. Three particular cases of the proposed models are presented by considering the response variable to follow a truncated normal, truncated skew normal, and truncated beta distribution. These truncated non linear regression models are constructed assuming fixed known truncation limits and model parameters are estimated by direct maximization of the log-likelihood using a non linear optimization algorithm. Standardized residuals and diagnostic metrics based on the cases deletion are considered to verify the adequacy of the model and to detect outliers and influential observations. Results based on simulated data are presented to assess the frequentist properties of estimates, and a real data set on soil-water retention from the Buriti Vermelho River Basin database is analyzed using the proposed methodology.     

FINANCIAL MARKETS' SHUTDOWN AND REACCESS

We employ a discrete‐time parametric duration model on a group of 121 countries over the period 1970–2011 and find that the probability of the end of financial markets' shutdown and reaccess falls as these events become longer. We also show that: (1) shutdown episodes are longer when economic prospects are poor and the degree of financial openness falls, the chief executive has been in office for long periods, and the country has a default history and (2) spells of reaccess tend to be longer when economic growth improves and financial openness increases, there are neither government crises nor government instability, and the country did not default in the past. (JEL C41, G15)     

PRICES,INFLATION, AND SMOKING ONSET: THE CASE OF ARGENTINA

This article examines the effect of tobacco prices on the decision to start smoking in Argentina. Argentina is an interesting case to explore given its high smoking rates, its recent experience with periods of very high and hyperinflation, and the mixed evidence of the effect of prices on smoking onset, particularly in low‐ and middle‐income countries. We used data from four cycles of two large national surveys conducted between 2005 and 2011 and discrete‐time hazard models. We found that tobacco prices had a statistically significant and fairly large impact on the hazard of smoking onset, and these findings were robust to alternative specifications. We also found that prices had little effect on the hazards of smoking onset during periods of hyper‐ and very high inflation, which provide some support for the notion that prices lose their informational role in such periods. Governments need to be cognizant that their most important policy tool to reduce tobacco use—taxes that increase real tobacco prices—is likely no longer effective during these times. (JEL C41, H20, I12, I18)     

Extended Poisson INAR(1) processes with equidispersion,underdispersion and overdispersion

Real count data time series often show the phenomenon of the underdispersion and overdispersion. In this paper, we develop two extensions of the first-order integer-valued autoregressive process with Poisson innovations, based on binomial thinning, for modeling integer-valued time series with equidispersion, underdispersion, and overdispersion. The main properties of the models are derived. The methods of conditional maximum likelihood, Yule–Walker, and conditional least squares are used for estimating the parameters, and their asymptotic properties are established. We also use a test based on our processes for checking if the count time series considered is overdispersed or underdispersed. The proposed models are fitted to time series of the weekly number of syphilis cases and monthly counts of family violence illustrating its capabilities in challenging the overdispersed and underdispersed count data.     

Trade Dynamics in the Market for Federal Funds

We develop a model of the market for federal funds that explicitly accounts for its two distinctive features: banks have to search for a suitable counterparty, and once they meet, both parties negotiate the size of the loan and the repayment. The theory is used to answer a number of positive and normative questions: What are the determinants of the fed funds rate? How does the market reallocate funds? Is the market able to achieve an efficient reallocation of funds? We also use the model for theoretical and quantitative analyses of policy issues facing modern central banks.     

Ambition gone awry: the long-term socioeconomic consequences of misaligned and uncertain ambitions in adolescence

Objective: The objective of this study was to investigate whether misaligned or uncertain ambitions in adolescence influence the process of socioeconomic attainment. Methods: Using 34 years of longitudinal data from the British Cohort Study (BCS70), we considered whether youth with (1) misaligned ambitions (i.e., those who either over- or underestimate the level of education required for their desired occupation), (2) both low occupational aspirations and educational expectations (low-aligned ambitions), and (3) uncertainty with regard to their future occupations (uncertain ambitions) at age 16 experienced more unemployment spells, lower educational attainment, and lower hourly wages in adulthood compared to youth with high occupational aspirations and educational expectations (high-aligned ambitions). Results: Youth who hold misaligned or uncertain aspirations show long-term deficits in employment stability and educational attainment, which in turn leads to lower wage attainments at age 34. Conclusion: Misaligned and uncertain ambitions in adolescence compromise the construction of life paths and the realization of long-term educational and occupational goals.     

Are Naturalized Voters Driving the California Latino Electorate? Measuring the Effect of IRCA Citizens on Latino Voting*

Objectives. The 1990s witnessed the growth and maturation of the Latino electorate in California and many scholars have posited as to the reasons. One argument is that naturalizations by way of the Immigration Reform and Control Act (IRCA) drove the increases in Latino participation. In this article we investigate the extent to which this is the case. Methods. Using unpublished INS data, we offer the first empirical test of the IRCA theory by examining Latino IRCA petitions by zipcode to determine whether or not IRCA legalizations and subsequent naturalizations were the force behind increased Latino turnout, and the overall growth of the Latino vote. We merge IRCA data with Registrar of Voter data to examine real growth in the Latino vote at the zipcode level from 1996–2000 in southern California. Results. Although Latino voting grew substantially, we find that IRCA naturalizations did not spur the increases in Latino voting in the 1990s as some have expected. Instead, demographic and mobilization variables explain why the Latino vote grew between 1996 and 2000. Conclusions. As Congress debates new proposals to “legalize” the millions of undocumented immigrants living and working in this country, many will inevitably ask what impact their citizenship will have on the electorate. This study sheds some light on the relationship between amnesty programs, citizenship, and voting among Latinos.