This paper discusses regression models with aggregated covariate data. Reparameterized likelihood function is found to be separable when one endogenous variable corresponds to one instrument. In that case, the full-information maximum likelihood estimator has an analytic form, and thus...

Using Bayesian maximum likelihood and data for Portugal, I estimate a New Keynesian DSGE model allowing for the presence of non-Ricardian households and test the stability of the model's prediction when the fraction of liquidity-constrained households changes. In particular, I assess the impacts...

This paper addresses the estimation of the nonparametric conditional moment restricted model that involves an infinite-dimensional parameter g0. We estimate it in a quasi-Bayesian way, based on the limited information likelihood, and investigate the impact of three types of priors on the...

This chapter proposes an up-to-date review of estimation strategies available for the Bayesian inference of GARCH-type models. The emphasis is put on a novel efficient procedure named AdMitIS. The methodology automatically constructs a mixture of Student-t distributions as an approximation to...

Bayesian inference requires an analyst to set priors. Setting the right prior is crucial for precise forecasts. This paper analyzes how optimal prior changes when an economy is hit by a recession. For this task, an autoregressive distributed lag (ADL) model is chosen. The results show that a...

In her recent study Bobbitt-Zeher (2007) takes on the important task of identifying the contribution of educational factors relative to non-educational factors in the making of the gender income gap among the college-educated and finds that “family formation has virtually no effect on the...

Both theoretical and empirical analyses show that the relationship between population development and carbon emissions is dynamic, and the population elasticity of carbon emissions is a nonlinear function of population size, age structure, household size, urbanization, sex structure, and...

The main conclusion of the FM study relies on the fact that the average of the slopes of 402 regressions of the monthly returns on 20 portfolios on theirs beta coefficients is positive. Considering this set of 402 slopes as a random sample drawn from the same normally distributed population, FM...

This study examines the Micro-level factors associated with household poverty in Sri Lanka using latest Household Income and Expenditure Surveys (HIES) data in 2006/07 employing OLS, quintile and probit regressions. The results of the probit regression indicate that, the major determinants of...

The article discusses the factors influencing the market capitalization of a company. Using data on the thousand largest companies in Europe, taken from the 2009 EU Industrial R&D Investment Scoreboard, the analysis focuses on the impacts of net sales value of each company, investment in...