Gender and the credit rationing of small businesses

Rapid small business ownership growth rates among women have motivated research on issues related to gender and small business performance. The importance of credit access for the success of small businesses, as well as evidence that women have less access to credit than male business owners, has led researchers to explore the reasons for this. In this paper, we estimate a model of credit rationing by gender of the business owner. Our results are consistent with previous studies that find higher loan denial rates and lower loan application rates among women compared with men. Testing the robustness of the results we find that women seem to be rationing themselves in the credit market rather than being discriminated against by banks. Reasons for this self-rationing behavior are an important topic for further research.     

Evaluating the effect of de facto pegs on currency crises

This paper empirically evaluates the treatment effect of de facto pegged regimes on the occurrence of currency crises. To estimate the treatment effect of pegged regimes properly, we must carefully control for the self-selection problem of regime adoption because a country's exchange rate regime choice is nonrandom. To address the self-selection problem, we thus employ a variety of matching methods. We find interesting and robust evidence that (1) pegged regimes significantly decrease the likelihood of currency crises compared with floating regimes, and (2) pegged regimes with capital account liberalization significantly lower the likelihood of currency crises compared with other regimes. From the standpoint of the macroeconomic policy trilemma, we can reasonably conclude that pegged regimes with capital account liberalization are substantially less prone to speculative attacks because they can enhance greater credibility in their currencies by maintaining strict discipline for monetary and macroeconomic policies.     

COUNTRY PORTFOLIOS IN OPEN ECONOMY MACRO‐MODELS

This paper develops a simple approximation method for computing equilibrium portfolios in dynamic general equilibrium open economy macro‐models. The method is widely applicable, simple to implement, and gives analytical solutions for equilibrium portfolio positions in any combination or types of asset. It can be used in models with any number of assets, whether markets are complete or incomplete, and can be applied to stochastic dynamic general equilibrium models of any dimension, so long as the model is amenable to a solution using standard approximation methods. We first illustrate the approach using a simple two‐asset endowment economy model, and then show how the results extend to the case of any number of assets and general economic structure.     

FRAGILE STATES AND DEVELOPMENT POLICY

It is widely recognized that fragile states are key symptoms of under‐development in many parts of the world. Such states are incapable of delivering basic services to their citizens and political violence is commonplace. As of yet, mainstream development economics has not dealt in any systematic way with such concerns and the implications for development assistance. This paper puts forward a framework for analyzing fragile states and applies it to a variety development policies in different types of states.     

Effect of correlation on the estimation of a mean in the presence of spurious observations

This paper examines the effect of correlation of observations on estimators of a mean which are designed to guard against the possibility of spurious observations (that is, observations generated in a manner not intended). The mean squared error, premium and protection of these estimators are evaluated and discussed for some specific correlation structures.     

Rate of consistency of one sample tests of location

Let X₁,…,X_n be a sample from a population with continuous distribution function F(x?θ) such that F(x)+F(-x)=1 and 0<F(x)<1, x?R¹. It is shown that the power- function of a monotone test of H: θ=θ₀ against K: θ>θ₀ cannot tend to 1 as θ?θ₀ → ∞ more than n times faster than the tails of F tend to 0. Some standard as well as robust tests are considered with respect to this rate of convergence.     

Bounds on the empirical Bayes and compound risks of truncated versions of Robbins's estimator of a binomial parameter

Robbins (1956) in his original paper on empirical Bayes methods suggested a method of estimating a binomial success probability. We give explicit bounds for the empirical Bayes risk of natural variants of the Robbins estimator that show convergence to an optimal risk at $\text{O(n}{}^{\mathrm{<mtext>?</mtext><mtext>1</mtext><mtext>2</mtext>}}\text{)}$ rate. Bounds that yield the same convergence rate are also obtained in the related compound estimation problem.     

Unified treatment of Cramér-Rao bound for the nonregular density functions

This paper extends the idea of Vincze (1978) and unifies the approach for the uniparameter and multiparameter situations for obtaining the Cramér-Rao inequality.     

Second order asymptotic relations of M-estimators and R-estimators in two-sample location model

Let T_M be an M-estimator (maximum likelihood type estimator) and T_R be an R-estimator (Hodges-Lehmann's estimator) of the shift parameter Δ in the two-sample location model. The asymptotic representation of √N(T_M-T_R) up to a term of the order O_p(N^{-$\text{1}\text{4}$}) is derived which is valid if the functions Ψ and ? generating T_M and T_R, respectively, decompose into an absolutely continuous and a step-function components; the order O_p(N^{-$\text{1}\text{4}$}) cannot be improved unless the discontinuous components vanish. As a consequence, the conditions under which √N(T_M-T_R)=O_p(N^{-$\text{1}\text{4}$}) are obtained. The main tool for obtaining the results is the second order asymptotic linearity of the pertaining linear rank statistics which is proved here under the assumption that the score-generating function ? has some jump-discontinuities.