A new estimator, named S-LASSO, is proposed for the coefficient function of Function-on-Function linear regression model. The S-LASSO estimator shown to be able increase interpretability model, by better locating regions where zero, and smoothly estimate non-zero values function. sparsity ensured a \textit{functional LASSO penalty}, which pointwise shrinks toward zero function, while smoothness...

Most previous studies of binary choice panel data models with Þxed effects require strictly exogeneous regressors, and except for the logit model without lagged dependent variables, cannot provide rate root n parameter estimates. We assume that one of the explanatory variables is independent of the individual speciÞc effect and of the errors of the model, conditional on the other explanatory va...

Traditional tools of welfare economics identify the envy-related welfare loss from conspicuous consumption only under very strong assumptions. Measured income and life satisfaction offers an alternative for estimating such consumption externalities. The approach is developed in the context of luxury car consumption (Ferraris and Porsches) in Switzerland. Results from household panel data and fi...

For the conditional mean function of panel count model with time-varying coefficients, we propose to use local kernel regression method for estimation. Partial log-likelihood polynomial is formed Under some regularity conditions, strong uniform consistency rates are obtained estimator. At target time point, show that estimator converges in distribution normal distribution. The baseline also sho...

This paper proposes an alternative representation of the original version of the Logistic Smooth Transition Auto-Regressive (LSTAR) model. The Logistic Smooth Transition Auto-Regressive (LSTAR) and Exponential Smooth Transition Auto-Regressive (FSTAR) models are frequently used in empirical research. The LSTAR model describes asymmetrical nonlinear adjustment process, while the ESTAR model desc...

The present study investigates the relationship between diversification strategy, capital structure and profitability in companies listed in the stock exchange through a combination of data panel and VAR methods. The present research was conducted for companies admitted to the Tehran Stock Exchange from 1387 to 1395 and 78 companies were selected as case study. Stationary and static tests were ...

A nonlinear smooth transition regression (STR) model of the demand for narrow money in Colombia is specified using monthly data for cash, prices, the scale variable (industrial GDP), the interest rate and the rate of depreciation, within the single equation framework allowed by the data. In comparison with the linear error correction model, the nonlinear specification is highly superior accordi...