Pedro S. Amaral

Limited Enforcement, Financial Intermediation, and Economic Development: A Quantitative Assessment

We present a model of economic development where the importance of financial differences caused by limited enforcement can be measured. Economies where enforcement is poor direct less capital to the production sector and employ less efficient technologies. Calibrated simulations reveal that the resulting effect on output is large. Furthermore, the model correctly predicts that the average scale of production should rise with the quality of enforcement. Finally, we find that the importance of limited enforcement rises with the importance of capital in production.

The Cyclical Behavior of Equilibrium Unemployment and Vacancies across OECD Countries

We show that the inability of a standardly-calibrated stochastic labor search-and-matching model to account for the observed volatility of unemployment and vacancies extends beyond U.S. data to a set of OECD countries -- the volatility puzzle is ubiquitous. We also argue that using cross-country data is helpful in evaluating the relative merits of the model alternatives that have appeared in the literature. In illustrating this point, we take the solution proposed in Hagedorn and Manovskii (2008) and show that it continues to predict counterfactually low volatility in labor market variables for countries that exhibit sufficiently low persistence in their estimated productivity processes.

Raising the bar (1)

Abstract In this editorial, we summarize and comment on the papers published in issue 11.1 so as to raise the bar in applied spatial economic research and highlight new trends. The first paper employs the J-test to discriminate between two economic-theoretical explanations for the wage curve. The second applies a two-step ML procedure to measure the impact of volatility on economic growth. The third tests for endogeneity in the Spatial lag of X (SLX) model and whether or not the model should be extended to contain a spatial lag. The fourth utilizes the gravity model to test whether or not grids should be merged into larger units of observations. Finally, the last adopts a time-space recursive model to test the ripple effect and (linguistic) border effect hypotheses on housing prices in Belgium.

First experimental results with the Clear-PEM detector

First experimental results of the imaging system Clear-PEM for positron emission mammography, under development within the framework of the Crystal Clear Collaboration at CERN, are presented. The quality control procedures of crystal pixels, APD arrays and assembled detector modules are described. The detector module performance was characterized in detail. Results on measurements of light yield, energy resolution, depth-of-interaction and inter-channel cross-talk are discussed. The status of the development of the front-end electronics and of the data acquisition boards is reported.

Raising the bar (4)

Abstract This editorial summarizes and comments on the papers published in issue 11(4) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper deals with common factors and spatial dependence in the error term specification of a production function model. The second paper sets forth a New Economic Geography (NEG) model with production activities that vary in their complexity, so as to analyse the impact on specialization patterns across different regions. The third paper measures the efficiency of local public investments using a relatively unknown econometric technique in which the time span over which the variables in the regression equation are measured is increased by one time period every run. The fourth paper adopts a conditional quantile regression approach to determine the impact of people employed in informal jobs on the wage distribution in Colombia and five of its regions. Finally, the last paper proposes and tests two new Bayesian variable selection approaches for spatial econometric models.

Raising the Bar (3)

Abstract This editorial summarizes and comments on the papers published in issue 11(3) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper proposes spatial and a-spatial indicators to describe the networks of airline companies around the world. The second paper sets forth a two-regime gravity-type model with an endogenous threshold parameter to assess the effect of labour market conditions on interregional migration flows. The third paper utilizes micro-data to explain student migration flows to higher education institutions. The fourth paper is among the first to make use of simulation-based location quotients in a multiregional input–output model. Finally, the last paper provides a purely economic–theoretical model on cooperative limit pricing in the context of spatial competition.

Turbulence, Heterogeneity and Earnings Inequality

There has been a well-documented increase in wage earnings inequality in the last two decades both in the United States as well as in other OECD economies. Moreover, this increase occurred not only across groups, but also within groups. There is also some evidence that this increase in inequality was accompanied by an increase in the pace of technological changes which require the learning of new skills, as well as by an increasese in occupational mobility.The question this paper asks is what are the consequences of (i) an increase in the depreciation rate of skills, or (ii) an increase in occupational mobility for wage earnings dispersion in an economy in which people learn new skills at different rates. To answer this question, a Ljungqvist and Sargent (1998) type of economy is modified to include two distinct populations. What distinguishes them is the rate at which they accumulate new skills while on the job. Skills are partly job specific, so if a particular job disappears, workers in that job experience a skill .When the rate at which skills depreciate, or occupational mobility, increase, there is an increase in the value of the ability to master new skills faster. In the context of a model calibrated to reproduce some statistics drawn from CPS and DWS data, such increases imply increases in inequality between fast learners and slow learners, but have little effect on withn-group inequality.

Raising the bar (8)

ABSTRACT This editorial summarizes the papers published in issue 13(3) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper challenges the home market hypothesis that large countries host more firms relative to their size than small countries by considering the lobbying activities of multinational firms. The second paper analyzes the implications of a spatial weight matrix used to estimate a spatial econometric model that depends on an endogenous economic variable. By adding a spatial context, the third paper provides a novel contribution to the literature on international norms in de facto measures of human rights performance. The fourth paper examines the determinants of accepting informal work in Poland. The fifth paper deals with non-stationarity and cointegration in a dynamic spatial econometric panel data model when the number of observations in the time – rather than in the cross-sectional– domain tends to infinity.

Raising the bar (7)

ABSTRACT This editorial summarises the papers published in issue 13.1 so as to raise the bar in applied spatial economic research and highlight new trends. The first paper adopts a scale neutral approach to investigate the spatial mechanisms that cause regional innovation and growth. The second paper claims that population-weighting when calculating indices of regional inequality might lead to inconsistent outcomes. The third paper estimates the effect of distance between family residence and higher education institution on a students academic performance, thereby accounting for endogenous regressors. The fourth paper shows an inverted U-shaped relationship between economic development at region of origin and the propensity to migrate using a multilevel approach. The fifth paper provides spatial econometric evidence of price competition between sellers of used books on Amazon.com. The last paper estimates a hedonic housing price equation and parameterizes the spatial weight matrix to determine how far back in time buyers, sellers and realtors are looking at the housing market.

Raising the bar (6)

ABSTRACT Raising the bar (6). Spatial Economic Analysis. This editorial summarizes and comments on the papers published in issue 12(4) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper addresses the question of whether ‘jobs follow people’ or ‘people follow jobs’. The second paper develops a new methodology to determine functional regions. The third paper is a major contribution to the growing literature on new modelling approaches and applications of disaster impact models. The fourth paper focuses on the costs and benefits of higher education. The fifth paper develops a two-step procedure to identify endogenously spatial regimes in the first step using geographically weighted regression, and to account for spatial dependence in the second step. Finally, the sixth paper estimates a dynamic spatial panel data model to explain house prices and to show that restricted housing supply in the city of Cambridge, UK, has some undesirable labour market effects.