Policies are typically chosen by politicians and bureaucrats. This paper investigates the criteria that should lead a society to allocate policy tasks to elected policymakers (politicians) or non elected bureaucrats. Politicians tend to be preferable for tasks that have the following features: they do not involve too much
specific technical ability relative to effort; there is uncertainty ex ante about ex post preferences of the public and flexibility is valuable; time inconsistency is not an issue; small but powerful vested interests do not have large stakes in the policy outcome; effective decisions over policies require taking into account policy
complementarities and compensating the losers; the policies imply redistributive conflicts among large groups of voters. The reverse apply to the attribution of prerogatives to bureaucrats.

In this paper we compare alternative approaches for dating the Euro area business cycle and analyzing its characteristics. First, we extend a commonly used dating procedure to allow for length, size and amplitude restrictions, and to compute the probability of a phase change. Second, we apply the modified algorithm for dating both the classical Euro area cycle and the deviation cycle, where the latter is obtained by a variety of methods, including a modified HP filter that reproduces the features of the BK filter but avoids end-point problems, and a production function based approach. Third, we repeat the dating exercise for the main Euro
area countries, evaluate the degree of syncronization, and compare the results with the UK and the US. Fourth, we construct indices of business cycle diffusion, and assess how spread are cyclical movements throughout the economy. Finally, we repeat the dating exercise using monthly industrial production data, to evaluate whether the higher sampling frequency can compensate the higher variability of the series and produce a more accurate dating.

In this paper we evaluate the relative merits of three approaches to information extraction
from a large data set for forecasting, namely, the use of an automated model selection
procedure, the adoption of a factor model, and single-indicator-based forecast pooling. The
comparison is conducted using a large set of indicators for forecasting US inflation and GDP
growth. We also compare our large set of leading indicators with purely autoregressive
models, using an evaluation procedure that is particularly relevant for policy making. The
evaluation is conducted both ex-post and in a pseudo real time context, for several forecast
horizons, and using both recursive and rolling estimation. The results indicate a preference for
simple forecasting tools, with a good relative performance of pure autoregressive models, and
substantial instability in the leading characteristics of the indicators.

In this paper we evaluate the role of a set of variables as leading indicators for Euro-area
inflation and GDP growth. Our evaluation is based on using the variables in the ECB Euroarea
model database, plus a set of similar variables for the US. We compare the forecasting
performance of each indicator with that of purely autoregressive models, using an evaluation
procedure that is particularly relevant for policy making. The evaluation is conducted both expost
and in a pseudo real time context, for several forecast horizons, and using both recursive
and rolling estimation. We also analyze three different approaches to combining the
information from several indicators. First, we discuss the use as indicators of the estimated
factors from a dynamic factor model for all the indicators. Second, an automated model
selection procedure is applied to models with a large set of indicators. Third, we consider
pooling the single indicator forecasts. The results indicate that single indicator forecasts are on
average better than those derived from more complicated methods, but for them to beat the
autoregression a different indicator has to be used in each period. A simple real-time
procedure for indicator-selection produces good results.

There has been a lot of interest recently in developing small scale
rule-based empirical macro models for the analysis of monetary policy.
These models, based on the conventional view that inflation
stabilization should be a concern of monetary policy only, have typically neglected
the role of fiscal policy. We start with the evidence that a baseline
VAR-augmented Taylor rule can deliver recurrent mispredictions of
inflation in the U.S. before 1987. We then show that a fiscal feed-back rule, in
which the primary deficit reacts to both the output gap and the
government debt, can well characterize the behavior of fiscal policy throughout the
sample. However, by employing Markov-switching methods, we find
evidence of substantial instability across fiscal regimes. Yet this precisely happens
\QTR{it}{before 1987}. We then augment the monetary VAR\ with a
fiscal policy rule and control for the endogenous regime switches for both
rules. We find that only over time windows belonging to the pre-1987 period
the model based on the two rules can predict the behavior of \ inflation
better than the one based just on the monetary policy rule. \QTR{it}{After
1987}, when fiscal policy is estimated to switch to a regime of fiscal discipline,
the monetary-fiscal mix can be appropriately described as a regime of
monetary dominance. Over this period a monetary policy rule based
model is always a better predictor of the inflation behavior than the one
comprising both a monetary and a fiscal rule.

Within a small open economy we derive a tractable framework for the analysis
of the optimal monetary policy design problem as well as of simple feedback
rules. The international relative price channel is emphasized as the one peculiar
to the open economy dimension of monetary policy. Hence flexibility in
the nominal exchange rate enhances such channel. We first show that a feature
of the optimal policy under commitment, unlike the one under discretion,
is to entail stationary nominal exchange rate and price level. We show that
this property characterizes also a regime of fixed exchange rates. Hence, in
evaluating the desirability of such a regime, this benefit needs to be weighed
against the cost of excess smoothness in the terms of trade. We show that
there exist combinations of the parameter values that make a regime of fixed
exchange rates more desirable than the discretionary optimal policy. When the
economy is sufficiently open, this happens for a high relative weight assigned to
output gap variability in the Central Bank's loss function and for high values of
the elasticity substitution between domestic and foreign goods. We draw from
this interesting conclusions for a modern version of the optimal currency area
literature.

Do fiscal policy variables - overall spending, revenue, deficits and
welfare-state spending - display systematic patterns in the vicinity of
elections? And do such electoral cycles differ among political systems?
We investigate these questions in a data set encompassing sixty democracies
from 1960-98. Without conditioning on the political system, we find
that taxes are cut before elections, painful fiscal adjustments are postponed
until after the elections, while welfare-state spending displays no
electoral cycle. Our subsequent results show that the pre-election tax cuts
is a universal phenomenon. The post-election fiscal adjustments (spending
cuts, tax hikes and rises in surplus) are, however, only present in
presidential democracies. Moreover, majoritarian electoral rules alone are
associated with pre-electoral spending cuts, while proportional electoral
rules are associated with expansions of welfare spending both before and
after elections.

We construct and numerically solve a dynamic Heckscher-Ohlin model which, depending
on the distribution of production factors in the world and parameter values, allows for
worldwide factor price equalization or complete specialization. We explore the dynamics
of the model under different parameter values, and relate our theoretical results to the
empirical literature that studies the determinants of countries' income per capita growth
and levels. In general, the model is capable of generating predictions in accordance with
the most important ndings in the empirical growth literature. At the same time, it
avoids some of the most serious problems of the (autarkic) neoclassical growth model.

This work focuses on the political determination of a public education policy within the context of a general equilibrium macroeconomic model. The primary objective of this paper is to study whether publicly funded education can emerge and be sustained as a political and economic equilibrium in an economy where individual agents are selfish, rational and forward-looking. I construct an overlapping generations general equilibrium model that endogenizes the large involvement of the public sector in human capital investment. The agents work for the first two periods of their lives and then retire during the third period. The first generation agents may also allocate resources to the acquisition of human capital, but they cannot borrow against their future income. In a political equilibrium where the rational and forward-looking agents of the two oldest generations vote for a level of public funding of education, public financing of education is motivated by the complementarity between capital and labor in the production function and appears as an instrument to compensate for the absence of credit markets. Thus, public funding of education does not have to be chosen because of altruism or externalities. In an economy calibrated using U.S. data, I can match the high shares of GNP allocated to education observed in the U.S. economy. The share of publicly funded education is an increasing function of GNP which mirrors the observed disparities across countries with different levels of development. Furthermore, an increase in the social security tax rate reduces the share of GNP allocated to publicly funded education which might help explain differences across countries with similar levels of development. The constructed economy also supports the existence of poverty traps for relatively low levels of income per capita. An interesting feature is that, if we do not allow the young agents to work, the economy will get out of these poverty traps and will converge to a steady-state with high levels of physical and human capital.

I include the variables wives age and cohort and children in a participation equation to explore how the following two economic issues affect participation. First, a structural change in terms of participation over the life-cycle. Because a structural change does not affect all women of the young cohorts, I distinguish between long-run participating women (i.e. those whose participation behaviour resembles that found after the structural change) and a priori inactive women (i.e. those with a traditional behaviour). Second, it explores the impact of current social policies on mothers participation. Despite that a negative correlation between children and mothers participation (especially pre-scholars) is considered a stylized fact in the literature, long-run participating women may not withdraw from the labour market after maternity to avoid the likely experience loss (i.e. real wage decline) due to long absences. This analysis is carryed out by exploiting a longitudinal Spanish survey (the ECPF). Despite some lacking variables, the use of panel data methods yields to satisfactory results.