853 resultados para employment uncertainty
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Este artigo tem dois objetivos principais. Primeiramente, apresentamos as pnnClpms evidências de que a baixa qualidade do emprego é o maior problema do mercado de trabalho brasileiro. Mostra-se que o país tem absorvido um crescimento da oferta de trabalho significativo ao longo dos últimos anos sem registrar um aumento da taxa de desemprego. No entanto, os postos de trabalho no Brasil são, em média, extremamente precários. Em grande medida, a precariedade do emprego no Brasil está relacionada à alta rotatividade da mão-de-obra, que desincentiva o investimento em treinamento, impedindo o crescimento da produtivid::;de do trabalho. De acordo com os indicadores passíveis de comparação internacional, o Brasil apresenta uma das maiores taxas de rotatividade do mundo. Em segundo lugar, estuda-se a evolução recente do emprego industrial, uma vez que o setor industrial está tradicionalmente associado à geração de bons empregos no Brasil. Mostra-se que o nível de emprego industrial tem se reduzido de forma praticamente contínua desde o início desta década. A estimação de um modelo de ajustamento parcial do emprego nos permite explicar este fenômeno. Mudanças estruturais significativas na elasticidade custo salarial do emprego e no coeficiente de tendência são detectadas a partir do início da década de 90. Um simples modelo teórico é usado de forma a interpretar estas mudanças estruturais como a resposta ótima das empresas industriais ao ambiente de maior competição externa, devido à abertura comercial. Isto, junto com o uso crescente de tecnologias poupadoras de mão-de-obra, são suficientes para explicar a brutal queda do emprego industrial no Brasil ao longo dos últimos seis anos.
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This paper analyzes the effects of the mlmmum wage on both, eammgs and employment, using a Brazilian rotating panel data (Pesquisa Mensal do Emprego - PME) which has a similar design to the US Current Population Survey (CPS). First an intuitive description of the data is done by graphical analysis. In particular, Kemel densities are used to show that an increase in the minimum wage compresses the eamings distribution. This graphical analysis is then forrnalized by descriptive models. This is followed by a discussion on identification and endogeneity that leads to the respecification of the model. Second, models for employment are estimated, using an interesting decomposition that makes it possible to separate out the effects of an increase in the minimum wage on number of hours and on posts of jobs. The main result is that an increase in the minimum wage was found to compress the eamings distribution, with a moderately small effect on the leveI of employment, contributing to alleviate inequality.
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This paper contributes to the literature on aid and economic growth. We posit that it is not the levei of aid flows per se but the stability of such flows that determines the impact of aid on economic growth. Three measures of aid instability are employed. One is a simple deviation from trend, and measures overall instability. The other measures are based on auto-regressive estimates to capture deviations from an expected trend. These measures are intended to proxy for uncertainty in aid receipts. We posit that such uncertainty will influence the relationship between aid and investment and how recipient governments respond to aid, and will therefore affect how aid impacts on growth. We estimate a standard cross-country growth regression including the leveI of aid, and find aid to be insignificant (in line with other results in the literature). We then introduce measures of instability. Aid remains insignificant when we account for overall instability. However, when we account for uncertainty (which is negative and significant), we find that aid has a significant positive effect on growth. We conduct stability tests that show that the significance of aid is largely due to its effect on the volume of investment. The finding that uncertainty of aid receipts reduces the effectiveness of aid is robust. When we control for this, aid appears to have a significant positive influence on growth. When the regression is estimated for the sub-sample of African countries these findings hold, although the effectiveness of aid appears weaker than for the full sample.
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I examine the effects of uncertainty about the timing of de aIs (i.e. temporary price cuts or sales) on consumer behavior in a dynamic inventory model of consumer choice. I derive implications for purchase behavior and test them empirically, using two years of scanner data for soft drinks. I fmd that loyal consumers' decisions, both about the allocation of their purchases over time and the quantity to be purchased in a particular deal, are affected by the uncertainty about the timing of the deal for the product. Loyal consumers buy a higher fraction of their overall purchases during de ais as the uncertainty decreases. This effect increases with an increase in the product' s share of a given consumer' s purchase in the same category or if the consumer stockpiles (i.e., is a shopper). During a particular deal, loyal shoppers increase the quantity they purchase the more time that has passed since the previous de aI, and the higher the uncertainty about the deals' timing. For the non-Ioyal consumers these effects are not significant. These results hold for products that are frequently purchased, like soft-drinks and yogurt, but do not hold for less frequentIy purchased products, such as laundry detergents. The fmdings suggest that manufacturers and retailers should incorporate the effects of deals' timing on consumers' purchase' decisions when deriving optimal pricing strategies.
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We present a continuous time target zone model of speculative attacks. Contrary to most of the literature that considers the certainty case, i.e., agents know for sure the Central Bank behavior in the future, we build uncertainty into the madel in two different ways. First, we consider the case in whicb the leveI of reserves at which the central bank lets the regime collapse is uncertain. Alternatively, we ana1ize the case in which, with some probability, the government may cbange its policy reducing the initially positive trend in domestic credito In both cases, contrary to the case of a fixed exchange rate regime, speculators face a cost of launching a tentative attack that may not succeed. Such cost induces a delay and may even prevent its occurrence. At the time of the tentative attack, the exchange rate moves either discretely up, if the attack succeeds, or down, if it fails. The remlts are consistent with the fact that, typically, an attack involves substantial profits and losses for the speculators. In particular, if agents believed that the government will control fiscal imbalances in the future, or alternatively, if they believe the trend in domestic credit to be temporary, the attack is postponed even in the presence of a signal of an imminent collapse. Finally, we aIso show that the timing of a speculative attack increases with the width of the target zone.
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We define a subgame perfect Nash equilibrium under Knightian uncertainty for two players, by means of a recursive backward induction procedure. We prove an extension of the Zermelo-von Neumann-Kuhn Theorem for games of perfect information, i. e., that the recursive procedure generates a Nash equilibrium under uncertainty (Dow and Werlang(1994)) of the whole game. We apply the notion for two well known games: the chain store and the centipede. On the one hand, we show that subgame perfection under Knightian uncertainty explains the chain store paradox in a one shot version. On the other hand, we show that subgame perfection under uncertainty does not account for the leaving behavior observed in the centipede game. This is in contrast to Dow, Orioli and Werlang(1996) where we explain by means of Nash equilibria under uncertainty (but not subgame perfect) the experiments of McKelvey and Palfrey(1992). Finally, we show that there may be nontrivial subgame perfect equilibria under uncertainty in more complex extensive form games, as in the case of the finitely repeated prisoner's dilemma, which accounts for cooperation in early stages of the game .
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This paper investigates heterogeneity in the market assessment of public macro- economic announcements by exploring (jointly) two main mechanisms through which macroeconomic news might enter stock prices: instantaneous fundamental news im- pacts consistent with the asset pricing view of symmetric information, and permanent order ow e¤ects consistent with a microstructure view of asymmetric information related to heterogeneous interpretation of public news. Theoretical motivation and empirical evidence for the operation of both mechanisms are presented. Signi cant in- stantaneous news impacts are detected for news related to real activity (including em- ployment), investment, in ation, and monetary policy; however, signi cant order ow e¤ects are also observed on employment announcement days. A multi-market analysis suggests that these asymmetric information e¤ects come from uncertainty about long term interest rates due to heterogeneous assessments of future Fed responses to em- ployment shocks.
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My presentation focuses on the implementation of a macroeconomic policy regime which, I believe, is capable of simultaneously attaining several targets, including the promotion of growth and employment and the prevention of external and financial crises.
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Historically the provision of childcare facilities in Brazil was short of demand. This problem affects a large part of the population and has a tendency to worsen, due to the accelerated decline in the number of parents of dedication exclusive family. The program called "Nova Semente" seeks to accelerate the creation of childcare facilities in the county, enabling the opening of units at low cost and in record time, through partnerships between government, non-governmental and civil society organizations. This study conducted a process evaluation of the implementation of public policy, to identify the strengths and weaknesses of the policy. In real terms, this paper seeks to understand the motivation for the development of the program, identifying the reasons set out in the project match what is being sent; Understand how it is giving practical partnership between the government entity and the entities "non-state"; Identify the degree of achievement of goals that should be met even in the implementation phase; verify employment of instruments provided for its implementation. For this, the literature of public policy evaluation is used, and fits the criteria and mechanisms for analysis in the assessment of efficacy, to answer the question motivating the work, which deals with uncertainty about the durability of the Program. the framework is the criteria and mechanisms for analysis in the assessment of efficacy, to answer the question motivating the work, which deals with uncertainty about the durability of the Program
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The aim of this thesis was to investigate the evolution of the socio-occupational status in Rio Grande do Norte from 2001 to 2008, based on the characterization of the socio-economic status of this State from the analysis of labor market norte-rio-grandense . The study, specifically, drew a comparison between the dynamics of the labor market in Rio Grande do Norte and the capital city, Natal. From this perspective, the purpose was to make a relationship between the social division of labor and its effects on the socio-spatial division, represented in the "macro scale" by the federal unit and the "micro level" for the capital; locus of economic and population concentration. The collection of data on the labor market had as a major source PNAD/IBGE, characterizing the labor market in many ways: people of working age, economically active population and employed and unemployed people, classified by age, sex, color, education, income and social protection condition. However, as for the socio-occupational division, we follow the methodology used by the research group on national television, based in IPPUR /UFRJ, called Monitoring of the Metropolis," which rallied twenty-four groups that aggregate the occupations found in the PNAD/IBGE, in eight groups of socio-occupational categories, according to the similarity between them. It was used in the socio-spatial cutting two relevant discussions, which are inter-related and were characterized as crucial points in developing the research problem: the former was related to the influence of the hegemony of merchant capital in the labor market in Rio Grande North and, the latter, it referred the socio-economic relations between the territory and the variable occupation. Lastly, the results all indicated that in Rio Grande do Norte, as a peripheral state, has suffered the devastating influence of the hegemony of capital purely commercial basis, where "wealth" of capitalism is generated through the sphere of mere movement of goods and services rather than a productive process due to the social relations of production more advanced. We have a little advanced economic structure, with a tertiary sector that has propagated under-employment or disguised unemployment. Similarly, the agricultural sector has been presented as an example of greater social degradation of working conditions in the state. The secondary sector, in turn, also was not behind this uncertainty; on the contrary, confirmed that condition, with poor levels of income, low education of the workforce and a high degree of social helplessness, even in the state capital, space full urban area, which although always appear with a favorable condition compared to Province, in practically most of the variables studied, was also reflected at the same time the author of a structurally underdeveloped condition
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This paper presents a method for calculating the power flow in distribution networks considering uncertainties in the distribution system. Active and reactive power are used as uncertain variables and probabilistically modeled through probability distribution functions. Uncertainty about the connection of the users with the different feeders is also considered. A Monte Carlo simulation is used to generate the possible load scenarios of the users. The results of the power flow considering uncertainty are the mean values and standard deviations of the variables of interest (voltages in all nodes, active and reactive power flows, etc.), giving the user valuable information about how the network will behave under uncertainty rather than the traditional fixed values at one point in time. The method is tested using real data from a primary feeder system, and results are presented considering uncertainty in demand and also in the connection. To demonstrate the usefulness of the approach, the results are then used in a probabilistic risk analysis to identify potential problems of undervoltage in distribution systems. (C) 2012 Elsevier Ltd. All rights reserved.