We estimate and compare two models, the Generalized Taylor Economy (GTE) and the Multiple Calvo model (MC); that have been built to model the distributions of contract lengths observed in the data. We compare the performances of these models to those of the standard models such as the Calvo and...

We estimate and compare two models, the Generalized Taylor Economy (GTE) and the Multiple Calvo model (MC), that have been built to model the distributions of contract lengths observed in the data. We compare the performances of these models to those of the standard models such as the Calvo and...

The purpose of the present paper is to investigate perceived inflation gap persistence using actual data of professional forecasts. We derive the unobserved perceived inflation gap persistence and using a state dependent model we estimate the non-linear persistence coefficient of inflation gap....

We take a monthly panel of German firms over the period 1980-2017 to examine the relative importance of time and state dependence in the decisions of firms to raise, lower or leave their price constant. In addition, we seek to estimate the relative importance of macroeconomic factors and...

We take a monthly panel of German firms over the period 1980−2017 to examine the relative importance of time and state dependence in the decisions of firms to raise, lower or leave their price constant. In addition, we seek to estimate the relative importance of macroeconomic factors and...

We examine the relative importance of time and state dependence in the price-setting decisions of firms using a monthly panel of German firms over the period 1980–2017. We propose a refined version of time dependence by introducing different hazard functions for price increases and decreases....

The cross-sectional distribution of completed lifetimes (DCL) is a new estimator defined and derived by Dixon (2012) in the general Taylor price model (GTE). DCL can be known as the cross-sectional weighted estimator summing to 1. It is a new statistics applying to describe the data. This paper...