Using a panel of Spanish firms over the period 2002-2012, we investigate the interactions between high growth episodes in terms of size and productivity. We find that high growth in productivity (size) increases the likelihood of high growth in size (productivity). However, the effect from size...

This paper examines the links between productivity and social welfare, with an application to the banking industry. It models spatial price competition between bank branches jointly with banks' decisions on the opening or closing of branches based on profit expectations. The model predicts that...

It is a well-known empirical regularity that small firms are less productive than large firms. However, does size cause productivity or vice versa? Using matching methods, I find that productivity shocks are followed by significant increases in size defined by employment. In contrast, size...

We analyze monetary policy in a New Keynesian model with heterogeneous firms and financial frictions. Firms differ in their productivity and net worth and face collateral constraints that cause capital misallocation. TFP endogenously depends on the time-varying distribution of firms. Although a...

The aim of this paper is to analyze the evolution of productivity and how firm behavior and institutional conditions affects productivity. For that purpose, we use a longitudinal sample of Spanish manufacturing and services companies between 1983 and 2006, as well as OECD indicators on product...

The Beveridge-Nelson decomposition defines the trend component in terms of the eventual forecast function, as the value the series would take if it were on its long-run path. The paper in-troduces the multistep Beveridge-Nelson decomposition, which arises when the forecast function is obtained...

We apply a recently proposed Bayesian model selection technique, known as stochastic model specification search, for characterising the nature of the trend in macroeconomic time series. We illustrate that the methodology can be quite successfully applied to discriminate between stochastic and...

Few authors have studied, either asymptotically or in finite samples, the size and power of seasonal unit root tests when the data generating process [DGP] is a non-stationary alternative aside from the seasonal random walk. In this respect, Ghysels, lee and Noh (1994) conducted a simulation...

The present paper studies the panel data auto regressive (PAR) time series model for testing the unit root hypothesis. The posterior odds ratio (POR) is derived under appropriate prior assumptions and then empirical analysis is carried out for testing the unit root hypothesis of Net Asset Value...

This paper inspects a grid search algorithm to estimate the AR(1) process, based on the joint estimation of the canonical AR(1) equation along with its reverse form. The method relies on the GLS principle, accounting for the covariance error structure of the special estimable system....