433 resultados para Structuralist macroeconomics
Resumo:
We study the incentives to acquire skill in a model where heterogeneous firmsand workers interact in a labor market characterized by matching frictions and costlyscreening. When effort in acquiring skill raises both the mean and the variance of theresulting ability distribution, multiple equilibria may arise. In the high-effort equilibrium, heterogeneity in ability is sufficiently large to induce firms to select the bestworkers, thereby confirming the belief that effort is important for finding good jobs.In the low-effort equilibrium, ability is not sufficiently dispersed to justify screening,thereby confirming the belief that effort is not so important. The model has implications for wage inequality, the distribution of firm characteristics, sorting patternsbetween firms and workers, and unemployment rates that can help explaining observedcross-country variation in socio-economic and labor market outcomes.
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Today, per capita income differences around the globe are large ? varying by as much as a factor of 35 across countries (Hall and Jones 1999). These differentials mostly reflect the "Great Divergence" (Sam Huntingon) ? the fact that Western Europe and former European colonies grew rapidly after 1800, while other countries grew much later or stagnated. What is less well-known is that a "First Divergence" preceded the Great Divergence: Western Europe surged ahead of the rest of the world long before technological growth became rapid. Europe in 1500 was already twice as rich on a per capita basis as Africa, and one-third richer than most of Asia (Maddison 2007). In this essay, we explain how Europe's tumultuous politics and deadly penchant for warfare translated into a sustained advantage in per capita incomes.
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This paper proposes new methodologies for evaluating out-of-sample forecastingperformance that are robust to the choice of the estimation window size. The methodologies involve evaluating the predictive ability of forecasting models over a wide rangeof window sizes. We show that the tests proposed in the literature may lack the powerto detect predictive ability and might be subject to data snooping across differentwindow sizes if used repeatedly. An empirical application shows the usefulness of themethodologies for evaluating exchange rate models' forecasting ability.
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We explore the linkage between equity and commodity markets, focusing in particular on its evolution over time. We document that a country's equity market valuehas significant out-of-sample predictive ability for the future global commodity priceindex for several primary commodity-exporting countries. The out-of-sample predictive ability of the equity market appears around 2000s. The results are robust to usingseveral control variables as well as firm-level equity data. Finally, our results indicatethat exchange rates are a better predictor of commodity prices than equity markets,especially at very short horizons.
Resumo:
The main goal of this article is to provide an answer to the question: "Does anything forecast exchange rates, and if so, which variables?". It is well known thatexchange rate fluctuations are very difficult to predict using economic models, andthat a random walk forecasts exchange rates better than any economic model (theMeese and Rogoff puzzle). However, the recent literature has identified a series of fundamentals/methodologies that claim to have resolved the puzzle. This article providesa critical review of the recent literature on exchange rate forecasting and illustratesthe new methodologies and fundamentals that have been recently proposed in an up-to-date, thorough empirical analysis. Overall, our analysis of the literature and thedata suggests that the answer to the question: "Are exchange rates predictable?" is,"It depends" -on the choice of predictor, forecast horizon, sample period, model, andforecast evaluation method. Predictability is most apparent when one or more of thefollowing hold: the predictors are Taylor rule or net foreign assets, the model is linear, and a small number of parameters are estimated. The toughest benchmark is therandom walk without drift.
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We study the effects of the adoption of new agricultural technologies on structural transformation. To guide empirical work, we present a simple model where the effect of agriculturalproductivity on industrial development depends on the factor bias of technical change. We testthe predictions of the model by studying the introduction of genetically engineered soybeanseeds in Brazil, which had heterogeneous effects on agricultural productivity across areas withdifferent soil and weather characteristics. We find that technical change in soy production wasstrongly labor saving and lead to industrial growth, as predicted by the model.
Resumo:
The newsworthiness of an event is partly determined by how unusual it isand this paper investigates the business cycle implications of this fact. In particular, weanalyze the consequences of information structures in which some types of signals are morelikely to be observed after unusual events. Such signals may increase both uncertainty anddisagreement among agents and when embedded in a simple business cycle model, can helpus understand why we observe (i) occasional large changes in macro economic aggregatevariables without a correspondingly large change in underlying fundamentals (ii) persistentperiods of high macroeconomic volatility and (iii) a positive correlation between absolutechanges in macro variables and the cross-sectional dispersion of expectations as measuredby survey data. These results are consequences of optimal updating by agents when theavailability of some signals is positively correlated with tail-events. The model is estimatedby likelihood based methods using individual survey responses and a quarterly time seriesof total factor productivity along with standard aggregate time series. The estimated modelsuggests that there have been episodes in recent US history when the impact on outputof innovations to productivity of a given magnitude was more than eight times as largecompared to other times.
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We study a dynamic model where growth requires both long-term investmentand the selection of talented managers. When ability is not ex-ante observable and contracts are incomplete, managerial selection imposes a cost, as managers facing the risk ofbeing replaced choose a sub-optimally low level of long-term investment. This generates atrade-off between selection and investment that has implications for the choice of contractualrelationships and institutions. Our analysis shows that rigid long-term contracts sacrificingmanagerial selection may prevail at early stages of economic development and when heterogeneity in ability is low. As the economy grows, however, knowledge accumulation increasesthe return to talent and makes it optimal to adopt flexible contractual relationships, wheremanagerial selection is implemented even at the cost of lower investment. Measures of investor protection aimed at limiting the bargaining power of managers improve selection undershort-term contract. Given that knowledge accumulation raises the value of selection, theoptimal level of investor protection increases with development.
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We estimate the response of stock prices to exogenous monetary policy shocks usinga vector-autoregressive model with time-varying parameters. Our evidence points toprotracted episodes in which, after a a short-run decline, stock prices increase persistently in response to an exogenous tightening of monetary policy. That responseis clearly at odds with the "conventional" view on the effects of monetary policy onbubbles, as well as with the predictions of bubbleless models. We also argue that it isunlikely that such evidence be accounted for by an endogenous response of the equitypremium to the monetary policy shocks.
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We study the gains from increased wage flexibility and their dependence on exchange rate policy, using a small open economy model with staggered price andwage setting. Two results stand out: (i) the impact of wage adjustments on employment is smaller the more the central bank seeks to stabilize the exchange rate,and (ii) an increase in wage flexibility often reduces welfare, and more likely so ineconomies under an exchange rate peg or an exchange rate-focused monetary policy.Our findings call into question the common view that wage flexibility is particularlydesirable in a currency union.
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We model the effect of contract standardization on the development of markets andthe law. In a setting in which biased judges can distort contract enforcement, we findthat the introduction of a standard contract reduces enforcement distortions relative toreliance on precedents, exerting two effects: i) it statically expands the volume of trade,but ii) it crowds out the use of open-ended contracts, hindering legal evolution. We shedlight on the large-scale commercial codification undertaken in the nineteenth centuryin many countries (even common-law ones) during a period of booming commerce andlong-distance trade.
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One approach to urban areas emphasizes the existence of certain immutable relationships, such as Zipf's or Gibrat's Law. An alternative view is that urban changereflects individual responses to changing tastes or technologies. This paper examinesalmost 200 years of regional change in the U.S. and finds that few, if any, growth relationships remain constant, including Gibrat's Law. Education does a reasonable jobof explaining urban resilience in recent decades, but does not seem to predict countygrowth a century ago. After reviewing this evidence, we present and estimate a simple model of regional change, where education increases the level of entrepreneurship.Human capital spillovers occur at the city level because skilled workers produce moreproduct varieties and thereby increase labor demand. We find that skills are associatedwith growth in productivity or entrepreneurship, not with growth in quality of life, atleast outside of the West. We also find that skills seem to have depressed housing supplygrowth in the West, but not in other regions, which supports the view that educatedresidents in that region have fought for tougher land-use controls. We also present evidence that skills have had a disproportionately large impact on unemployment duringthe current recession.
Resumo:
What determines risk-bearing capacity and the amount of leverage in financial markets? Thispaper uses unique micro-data on collateralized lending contracts during a period of financialdistress to address this question. An investor syndicate speculating in English stocks wentbankrupt in 1772. Using hand-collected information from Dutch notarial archives, we examinechanges in lenders' behavior following exposure to potential (but not actual) losses. Before thedistress episode, financiers that lent to the ill-fated syndicate were indistinguishable from therest. Afterwards, they behaved differently: they lent with much higher haircuts. Only lendersexposed to the failed syndicate altered their behavior. The differential change is remarkable sincethe distress was public knowledge, and because none of the lenders suffered actual losses ? allfinanciers were repaid in full. Interest rates were also unaffected; the market balanced solelythrough changes in collateral requirements. Our findings are consistent with a heterogeneousbeliefs-interpretation of leverage. They also suggest that individual experience can modify thelevel of leverage in a market quickly.
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Why do public-sector workers receive so much of their compensation in the formof pensions and other benefits? This paper presents a political economy model inwhich politicians compete for taxpayers' and government employees' votes by promising compensation packages, but some voters cannot evaluate every aspect of promisedcompensation. If pension packages are "shrouded", so that public-sector workers better understand their value than ordinary taxpayers, then compensation will be highlyback-loaded. In equilibrium, the welfare of public-sector workers could be improved,holding total public-sector costs constant, if they received higher wages and lowerpensions. Centralizing pension determination has two offsetting effects on generosity:more state-level media attention helps taxpayers better understand pension costs, andthat reduces pension generosity; but a larger share of public-sector workers will votewithin the jurisdiction, which increases pension generosity. A short discussion of pensions in two decentralized states (California and Pennsylvania) and two centralizedstates (Massachusetts and Ohio) suggests that centralization appears to have modestlyreduced pensions, but, as the model suggests, this is unlikely to be universal.
Resumo:
This paper uses a database covering the universe of French firms for the period 1990-2007 to provide a forensic account of the role of individual firms in generating aggregatefluctuations. We set up a simple multi-sector model of heterogeneous firms selling tomultiple markets to motivate a theoretically-founded decomposition of firms' annualsales growth rate into different components. We find that the firm-specific componentcontributes substantially to aggregate sales volatility, mattering about as much as thecomponents capturing shocks that are common across firms within a sector or country.We then decompose the firm-specific component to provide evidence on two mechanismsthat generate aggregate fluctuations from microeconomic shocks highlighted in the recentliterature: (i) when the firm size distribution is fat-tailed, idiosyncratic shocks tolarge firms directly contribute to aggregate fluctuations; and (ii) aggregate fluctuationscan arise from idiosyncratic shocks due to input-output linkages across the economy.Firm linkages are approximately three times as important as the direct effect of firmshocks in driving aggregate fluctuations.