This paper proposes a dynamic regression model that incorporates network effects from a large cross section of units. We consider a functional coefficient to measure these effects that is estimated using Taylor expansions over a partition of disjoint intervals of the compact support of the...

This paper proposes a system of simultaneous equations in a panel data setting to examine the relationship between corporate financial performance (FP) and corporate environmental performance (EP) for the group of firms comprising the S&P 500 in- dex. The study separates between brown (heavily...

This paper proposes a methodology to predict the increase in the number of confirmed COVID-19 cases in the city of New York at the zip code level. We concentrate on the initial period of the pandemic spanning from March 31 to June 16, 2020. To do this, we propose a Poisson regression model for...

This paper proposes a functional coefficient quantile regression model with heterogeneous and time-varying regression coefficients and factor loadings. Estimation of the model coefficients is done in two stages. First, we estimate the unobserved common factors from a linear factor model with...