Forecasting-volatility models typically rely on either daily or high frequency (HF) data and the choice between these two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer of many limitations. HF data feature microstructure problem,...

Forecasting volatility models typically rely on either daily or high frequency (HF) data and the choice between these two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer from many limitations. HF data feature microstructure problem,...

Model-selection uncertainty corresponds to the uncertainty about the true lag order of the autoregressive process that should be picked. This paper shows that all model-selection criteria perform poorly in small samples. Model-selection uncertainty adds to the bias and variability in the...

This article is an empirical study about flexible and conventional functional forms of coffee production, minflex Laurent Translog function econometrically has been established in Colombia coffee zone for the farm size (smallholders, medium and large farms, general sector), using a stochastic...

This paper uses Statistics New Zealand’s Linked Employer-Employee Data (LEED) over the six year period April 1999-March 2005 to derive and analyse estimates of two-way worker and firm fixed effects components of job earnings rates. The fixed effects estimates reflect the portable earnings...

In this paper, we exploit the worker-firm “link” information in the Linked Employer-Employee Database (LEED) to describe the patterns of employment intensity in jobs, matching between workers and firms, and the effect on job-level employment and earnings. First, we characterise workers’...

This paper provides an empirical evaluation of true state dependence in welfare participation using unique administrative data from California that is measured at the monthly frequency, which coincides with the welfare eligibility period and so is free of time aggregation bias. The analysis uses...

This multidisciplinary study adopts econometric analysis for investigating how different characteristics determine the choice of the language used in the signs of a shopping street. We work with a dataset containing about 200 observations collected in the main shopping streets of the cities of...

This paper explores the impact of volatility estimation methods on theoretical option values based upon the Black-Scholes-Merton (BSM) model. Volatility is the only input used in the BSM model that cannot be observed in the market or a priori determined in a contract. Thus, properly calculating...

Forecasting-volatility models typically rely on either daily or high frequency (HF) data and the choice between these two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer of many limitations. HF data feature microstructure problem,...