We analyze the effects of government spending in a New-Keynesian model with search and matching frictions featuring endogenous growth through learning-by-doing and skill loss from long-term unemployment. We show that medium-run and long-run output and unemployment multipliers are much larger...

China’s lending boom to developing countries is morphing into defaults and debt distress. Given the secrecy surrounding China’s loans, also the associated defaults remain “hidden”, as missed payments and restructuring details are not disclosed. We construct an encompassing dataset of...

Starting from the observation that all firms in Ireland (foreign and domestic in manufacturing and services industries) were hit by the crisis, the paper asks whether there is a difference in the behaviour of foreign and domestic firms. One hypothesis is that foreign multinationals are less...

We study sovereign external debt crises over the past 200 years, with a focus on creditor losses, or "haircuts". Our sample covers 327 sovereign debt restructurings with external private creditors over 205 default spells since 1815. Creditor losses vary widely (from none to 100%), but the...

This paper provides insights into the apparent seesaw between the generation of theoretical versus empirical economics research over time. A dynamic model considers the incentives of researchers to focus on empirical versus theoretical papers. It yields the main characteristics of the...

This paper develops a methodology for estimating the parameters of dynamic opinion or expectation formation processes with social interactions. We study a simple stochastic framework of a collective process of opinion formation by a group of agents who face a binary decision problem. The...

This chapter reviews recent research adopting methods from statistical physics in theoretical or empirical work in economics and finance. The bulk of what has recently become known as 'econophysics' in broader circles draws its motivation from observed scaling laws in financial markets and the...

High-frequency financial data are characterized by a set of ubiquitous statistical properties that prevail with surprising uniformity. While these 'stylized facts' have been well-known for decades, attempts at their behavioral explanation have remained scarce. However, recently a new branch of...

In this paper we consider daily financial data from various sources (stock market indices, foreign exchange rates and bonds) and analyze their multi-scaling properties by estimating the parameters of a Markov-switching multifractal model (MSM) with Lognormal volatility components. In order to...