Reference-dependent Preferences and the Transmission of Monetary Policy

This paper proposes a novel explanation of the vast empirical evidence showing that output and prices react asymmetrically to monetary policy innovations over contractions and expansions in the business cycle. We use VAR techniques to show that monetary policy exerts stronger e¤ects on the U.S. GDP during contractionary phases, as compared to expansionary ones. As to prices, their response is not statistically different across different cyclical stages. We show that these facts are consistent with a New Neoclassical Synthesis model based on the assumption that households' utility partly depends on deviations of their consumption from a reference level below which aversion to loss is displayed. In line with the theory developed by Kahneman and Tversky (1979), losses in consumption utility loom larger than gains. This implies state-dependent degrees of real rigidity and elasticity of intertemporal substitution in consumption that generate competing effects on the responses of output and inflation following a monetary innovation. The key predictions of the model are in line with the data. We then explore the state-dependent trade-off between inflation and output stabilization that naturally arises in this context. Greater elasticity of inflation to real activity during expansionary stages of the cycle promotes a stronger degree of policy activism in the response to the expected rate of inflation under discretion, compared to what is otherwise prescribed during contractions.Reference-dependent Preferences;Asymmetry;Monetary policy.

Demand Distribution Dynamics in Creative Industries: the Market for Books in Italy

We study the distribution dynamics of the demand for books in Italy. We find that for each of three broad sub-markets in which the book publishing industry can be classified Italian novels, foreign novels and essays sales over a three-year sample can be adequately fitted by a power law distribution. Our results can be plausibly interpreted in terms of a model of interactions among buyers exchanging information on the books they buy.Book publishing industry; Information transmission; Power law distribution.

Demand Distribution Dynamics in Creative Industries: the Market for Books in Italy

We study the distribution dynamics of the demand for books in Italy. We find that for each of three broad sub-markets in which the book publishing industry can be classified − Italian novels, foreign novels and essays − sales over a three-year sample can be adequately fitted by a power law distribution. Our results can be plausibly interpreted in terms of a model of interactions among buyers exchanging information on the books they buy

International evidence on business cycle magnitude dependence

Are expansions and recessions more likely to end as their magnitude increases? In this paper we apply parametric hazard models to investigate this issue in a sample of 16 countries from 1881 to 2000. For the total sample we find evidence of positive magnitude dependence for recessions, while for expansions we are not able to reject the null of magnitude independence. This last result is likely due to a structural change in the mechanism guiding expansions before and after the second World War. In particular, upturns show negative magnitude dependence in the post-World War II sub-sample, meaning that in this period expansions become less likely to end as their magnitude increases

The Eurace@Unibi Model: An Agent-Based Macroeconomic Model for Economic Policy Analysis

Dawid H, Gemkow S, Harting P, van der Hoog S, Neugart M. The Eurace@Unibi Model: An Agent-Based Macroeconomic Model for Economic Policy Analysis. Working Papers in Economics and Management. Vol 05-2012. Bielefeld: Bielefeld University, Department of Business Administration and Economics; 2012.This document provides a description of the modeling assumptions and economic features of the Eurace@Unibi model. Furthermore, the document shows typical patterns of the output generated by this model and compares it to empirically observable stylized facts. The Eurace@Unibi model provides a representation of a closed macroeconomic model with spatial structure. The main objective is to provide a micro-founded macroeconomic model that can be used as a unified framework for policy analysis in different economic policy areas and for the examination of generic macroeconomic research questions. In spite of this general agenda the model has been constructed with certain specific research questions in mind and therefore certain parts of the model, e.g. the mechanisms driving technological change, have been worked out in more detail than others. The purpose of this document is to give an overview over the model itself and its features rather than discussing how insights into particular economic issues can be obtained using the Eurace@Unibi model. The model has been designed as a framework for economic analysis in various domains of economics. A number of economic issues have been examined using (prior versions of) the model (see Dawid et al. (2008), Dawid et al. (2009), Dawid et al. (2011a), Dawid and Harting (2011), van der Hoog and Deissenberg (2011), Cincotti et al. (2010)) and recent extensions of the model have substantially extended its applicability in various economic policy domains, however results of such policy analyses will be reported elsewhere. Whereas the overall modeling approach, the different modeling choices and the economic rationale behind these choices is discussed in some detail in this document, no detailed description of the implementation is given. Such a detailed documentation is provided in the accompanying document Dawid et al. (2011b)

Validation of Agent-Based Models in Economics and Finance

Since the survey by Windrum et al. (Journal of Artificial Societies and Social Simulation 10:8, 2007), research on empirical validation of agent-based models in economics has made substantial advances, thanks to a constant flow of high-quality contributions. This Chapter attempts to take stock of such recent literature to offer an updated critical review of the existing validation techniques. We sketch a simple theoretical framework that conceptualizes existing validation approaches, which we examine along three different dimensions: (i) comparison between artificial and real-world data; (ii) calibration and estimation of model parameters; and (iii) parameter space exploration. Finally, we discuss open issues in the field of ABM validation and estimation. In particular, we argue that more research efforts should be devoted toward advancing hypothesis testing in ABM, with specific emphasis on model stationarity and ergodicity