State governments finance their expenditures with multiple tax instruments, so when collections from one source decline, they are typically compensated by greater revenues from other sources. This paper addresses the important question of the extent to which personal and corporate income taxes...

State governments finance their expenditures with multiple tax instruments, so when collections from one source decline, they are typically compensated by greater revenues from other sources. This paper addresses the important question of the extent to which personal and corporate income taxes...

This paper provides new evidence on the relevance of alternative theories of federal budget allocation to US States. Using a panel of 48 states over 20 years, we estimate the size and relative importance of different institutional and political factors in determining such allocation. We find...

En este estudio, se evalúa la importancia de las transferencias intergubernamentales sobre el esfuerzo fiscal realizado por los gobiernos locales, así como, el impacto que tienen sobre el nivel de actividad local en el Perú. Usando una base de datos de panel para los municipios distritales y...

According to globalization, certain kinds of public goods, which used to be working as the goods just in a national economy, are getting internationalized or released for foreigners as well. In addition, those goods often exhibit differentiated features for a certain degree. The goods as such...

We proposed two types of econometric models, a spatially clustered fixed-effects model (SCFEM) and a spatially correlated random-effects model (SCREM), to examine area-based panel data. We investigate what factors influence housing construction in the Tokyo Metropolitan Area, incorporating...

Macroeconomic time series are often obtained as an aggregate across regions or economic sectors. Even when the ultimate goal is to forecast the aggregate series it may be beneficial to consider the underlying disaggregate series. This especially holds when the disaggregate series are generated...

This paper considers a spatial panel data regression model with serial correlation on each spatial unit over time as well as spatial dependence between the spatial units at each point in time. In addition, the model allows for heterogeneity across the spatial units using random effects. The...

This paper develops a new simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. The new approach can deal with the commonly encountered and widely discussed ``initial conditions problem,'' as well as the...

In this paper we compare the size and the power of four cointegration tests in heterogeneous panel data, with both varying intercepts and slopes. These tests are (i) Kao (1999) Tests (both Dickey-Fuller (DF) and augmented Dickey-Fuller (ADF) types of cointegration tests in panel data), (ii)...