commodity price shocks and civil conflict evidence from colombia how do income shocks aect armed con ict theory suggests two op posite eects if labor is used to appropriate resources violently higher wages may lower con ict by reducing labor supplied to appropriation this is the opportunity cost eect alternatively a rise in contestable income may increase violence by raising gains from appropriation this is the rapacity eect our paper exploits exogenous price shocks in inter national commodity markets and a rich dataset on civil war in colombia to assess how dierent income shocks aect con ict we examine changes in the price of agricultural goods which are labor intensive and natural resources which are capital intensive we focus on coee and oil the two largest exports we nd that a sharp fall in coee prices in the 1990s increased violence dierentially in regions growing more coee by lower ing wages and the opportunity cost of joining armed groups in contrast a rise in oil prices increased violence dierentially in the oil region by in creasing municipal revenue siphoned through rapacity this pattern holds in several other agricultural and natural resource sectors providing robust evidence that price shocks aect con ict in opposite directions depending on the factor intensity of the commodity

the effect of food stamps on labor supply a bivariate selection model abstract although there is a large literature on the effects of u s transfer programs on labor supply this is the first such study of the food stamp program we model the nonlinearity and nonconvexity of the budget constraint and use maximum likelihood methods to estimate hours of work functions for female heads of household the largest recipient group in the program we also model the joint response to afdc and food stamps and we account for the existence of a significant number of eligible households who do not participate in the programs a three equation bivariate selection model is estimated on a sample of eligible households with maximum likelihood

the effect of child support payments on the labor supply of female family heads an econometric analysis recent census bureau statistics show that women who receive child support payments have higher earnings and work longer hours than women who do not does this suggest that child support unlike all other nonwage income does not deter work effort or are women who receive it simply different we use 1979 1982 cps data on divorced or separated women to estimate the determinants of hours worked when afdc participation and child support are endogenous we find evidence of unobservable differences between women who receive child support and those who do not controlling for these both child support and other nonwage income appear to reduce hours worked but the deterrent effect of child support is considerably less

what mean impacts miss distributional effects of welfare reform experiments labor supply theory predicts systematic heterogeneity in the impact of recent welfare reforms on earnings transfers and income yet most welfare reform research focuses on mean impacts we investigate the importance of heterogeneity using random assignment data from connecticut s jobs first waiver which features key elements of post 1996 welfare programs estimated quantile treatment effects exhibit the substantial heterogeneity predicted by labor supply theory thus mean impacts miss a great deal looking separately at samples of dropouts and other women does not improve the performance of mean impacts we conclude that welfare reform s effects are likely both more varied and more extensive than has been recognized

the effect of prenatal stress on cooperation evidence from violent conflict in uganda abstract are preferences endogenously determined in the womb we play a public goods game with ugandan children born during a conflict characterised by high civilian victimisation children whose caregivers suffer from post traumatic stress disorder are more likely to free ride in the game genetic and environmental factors alone do not explain the relationship but children s 2d 4d digit ratio a marker of fetal hormone exposure associated with epigenetic effects of maternal distress does our findings extend the fetal origins literature to the domain of preferences by reducing next generation s taste for cooperation conflict may have father reaching economic consequences than previously thought

violence and birth outcomes evidence from homicides in brazil abstract this paper uses microdata from brazilian vital statistics on births and deaths between 2000 and 2010 to estimate the impact of in utero exposure to local violence measured by homicide rates on birth outcomes the estimates show that exposure to violence during the first trimester of pregnancy leads to a small but precisely estimated increase in the risk of low birthweight and prematurity effects are found both in small municipalities where homicides are rare and in large municipalities where violence is endemic and are particularly pronounced among children of poorly educated mothers implying that violence compounds the disadvantage that these children already suffer as a result of their households lower socioeconomic status

the wisconsin child support assurance system estimated effects on poverty labor supply caseloads and costs the economic impact of a child support assurance system csas is simulated with microdata on custodial families in wisconsin the csas includes a uniform child support standard automatic wage withholding a minimum child support benefit and wage subsidy for eligible families the simulation incorporates a model of the labor supply decision representing the custodial parent s choice of whether to participate in csas or in the current afdc system the results suggest that csas can significantly reduce poverty as well as welfare caseloads if child support collections increase by one half of the difference between estimated ability to pay child support and current collections csas will be less costly than the current system

welfare reform when recipients are forward looking in 1996 the aid to families with dependent children program was replaced with the temporary assistance for needy families tanf program this paper considers the effects of two specific components of tanf time limits and work requirements on employment marriage and welfare participation a discrete choice dynamic programming model is used and parameter estimates are obtained using data from the panel study of income dynamics policy simulations show that a five year lifetime time limit results in a 60 percent reduction in welfare use and that a substantial part of this reduction occurs because recipients are forward looking

a method for taking models to the data abstract this paper develops a method for combining the power of a dynamic stochastic general equilibrium model with the flexibility of a vector autoregressive time series model to obtain a hybrid that can be taken directly to the data it estimates this hybrid model via maximum likelihood and uses the results to address a number of issues concerning the ability of a prototypical real business cycle model to explain movements in aggregate output and employment in the postwar us economy the stability of the real business cycle model s structural parameters and the performance of the hybrid model s out of sample forecasts

empirical of the taiwan stock index option price forecasting model applied artificial neural network this work presents a novel neural network model for forecasting option prices using past volatilities and other options market factors out of different approaches to estimating volatility in the option pricing model this study uses backpropagation neural network to forecast prices for taiwanese stock index options the ability to develop accurate forecasts of grey prediction volatility enables practitioners to establish an appropriate hedging strategy at in the money option

the costs of low birth weight birth weight has emerged as the leading indicator of infant health and welfare and the central focus of infant health policy this is because low birth weight lbw infants experience severe health and developmental difficulties that can impose enormous costs on society but would the prevention of lbw generate equally sizable cost savings and health improvements estimates of the return to lbwprevention from cross sectional associations may be biased by omitted variables that cannot be influenced by policy such as genetic factors to address this we compare the hospital costs health at birth and infant mortality rates between heavier and lighter infants from all twin pairs born in the united states we also examine the effect of maternal smoking during pregnancy the leading risk factor for lbw in the united states on health among singleton births after controlling for detailed background characteristics both analyses imply substantially smaller effects of lbw than previously thought suggesting two possibilities 1 existing estimates overstate the true costs and consequences of lbw by at least a factor of four and by as much as a factor of 20 or 2 different lbw preventing interventions have different health and cost consequences implying that policy efforts that presume a single return to reducing lbw will necessarily be suboptimal

a comparison of linear forecasting models and neural networks an application to euro inflation and euro divisia linear models reach their limitations in applications with nonlinearities in the data in this paper new empirical evidence is provided on the relative euro inflation forecasting performance of linear and non linear models the well established and widely used univariate arima and multivariate var models are used as linear forecasting models whereas neural networks nn are used as non linear forecasting models it is endeavoured to keep the level of subjectivity in the nn building process to a minimum in an attempt to exploit the full potentials of the nn it is also investigated whether the historically poor performance of the theoretically superior measure of the monetary services flow divisia relative to the traditional simple sum measure could be attributed to a certain extent to the evaluation of these indices within a linear framework results obtained suggest that non linear models provide better within sample and out of sample forecasts and linear models are simply a subset of them the divisia index also outperforms the simple sum index when evaluated in a non linear framework 2005 taylor francis group ltd

forecast comparisons in unstable environments we propose new methods for comparing the out of sample forecasting performance of two competing models in the presence of possible instabilities the main idea is to develop a measure of the relative local forecasting performance for the two models and to investigate its stability over time by means of statistical tests we propose two tests the fluctuation test and the one time reversal test that analyze the evolution of the models relative performance over historical samples in contrast to previous approaches to forecast comparison which are based on measures of global performance we focus on the entire time path of the models relative performance which may contain useful information that is lost when looking for the model that forecasts best on average we apply our tests to the analysis of the time variation in the out of sample forecasting performance of monetary models of exchange rate determination relative to the random walk copyright 2010 john wiley sons ltd

the carry trade and fundamentals nothing to fear but feer itself the carry trade is the investment strategy of going long in high yield target currencies and short in low yield funding currencies recently this nave trade has seen very high returns for long periods followed by large crash losses after large depreciations of the target currencies based on low sharpe ratios and negative skew these trades could appear unattractive even when diversied across many currencies but more sophisticated conditional trading strategies exhibit more favorable payos we apply novel within economics binary outcome classication tests to show that our directional trading forecasts are informa tive and out of sample loss function analysis to examine trading performance the critical conditioning variable we argue is the fundamental equilibrium exchange rate feer expected returns are lower all else equal when the target currency is overvalued like traders researchers should incorporate this information when evaluating trading strategies when we do so some questions are resolved negative skewness is purged and market volatility vix is uncorrelated with returns other puzzles remain the more sophisticated strategy has a very high sharpe ratio suggesting market ineciency

from the cradle to the labor market the effect of birth weight on adult outcomes lower birth weight babies have worse outcomes both short run in terms of one year mortality rates and longer run in terms of educational attainment and earnings however recent research has called into question whether birth weight itself is important or whether it simply reflects other hard to measure characteristics by applying within twin techniques using an unusually rich dataset from norway we examine the effects of birth weight on both short run and long run outcomes for the same cohorts we find that birth weight does matter despite short run twin fixed effects estimates that are much smaller than ols estimates the effects on longer run outcomes such as adult height iq earnings and education are significant and similar in magnitude to ols estimates

superfund cleanups and infant health in 1980 outcry over the health effects of toxic waste in love canal new york resulted in the comprehensive environmental response compensation and liability act which became known as superfund superfund was intended to provide a mechanism for conducting remedial clean ups at the most dangerous hazardous waste sites over the years it became the largest and most expensive federal program to deal with toxic waste in the us given the substantial cost and slow rate of clean up there is considerable debate on whether it is in the public interest to continue the program in its current form epa 2006 while the costs of the programs are clear its benefits are not well understood indeed the policy is controversial in part because there is a paucity of reliable information on the program s benefits some previous studies find poorer birth outcomes near a site while others do not see martine vrijheid 2000 however evidence of a correlation between proximity to a site and poor birth outcomes does not necessarily represent a causal effect because populations living near hazardous waste sites are typically different from the general population and their health outcomes are likely to differ even in the absence of negative health effects from exposure for example michael greenstone and justin gallagher 2008 found that residents of areas near hazardous waste sites are more likely to be poor and have lower levels of education than others our project is the first to examine the effect of site cleanups on infant health rather than simply focusing on proximity to a site we focus on single births that occurred within 5km of a superfund site between 1989 and 2003 in five large states florida michigan new jersey pennsylvania and texas the basis of our difference in differences approach is to compare changes in birth outcomes before and after a site s clean up among births to mothers who live within 2 000 meters of the site and among those who live between 2 000 and 5 000 meters away our approach is made feasible by access to confidential vital statistics data that includes the exact street address of the mother s residence our large sample gives us statistical power to detect small effects

testing long horizon predictive ability with high persistence and the meese rogoff puzzle a well known puzzle in the international finance literature is that a random walk predicts exchange rates better than economic models meese and rogoff 1983a b and 1988 this paper offers a potential explanation for this finding when exchange rates and fundamentals are highly persistent long horizon forecasts of economic models are asymptotically biased by the estimation error in the parameter that measures the persistence when this bias outweighs the benefits from exploiting economic information the random walk model will forecast better this happens even if the economic model is the true data generating process the reason is that a random walk model imposes a unit root rather than estimates it the paper thus proposes a test for equal predictive ability in the presence of highly persistent variables when applied to the meese rogoff exercise this test shows that the poor forecasting ability of economic models does not imply that the models are not a good description of the data

a structural model of multiple welfare program participation and labor supply work on estimating the labor supply effects of high marginal tax rates in welfare programs has been hindered by the difficulty of estimating the effects of participation in multiple welfare programs simultaneously the authors solve this problem by applying methods of simulation estimation to a model of labor supply and multiple program participation the results show asymmetric wage and tax rate effects with fairly large wage elasticities of labor supply but very inelastic responses to moderate changes in cumulative marginal tax rates implying that high welfare tax rates do not necessarily induce major reductions in work effort copyright 1998 by economics department of the university of pennsylvania and the osaka university institute of social and economic research association

making work pay changes in effective tax rates and guarantees in u s transfer programs 1983 2002 in the 1990s many states liberalized statutory rules regarding the tax treatment of earned and unearned income for welfare program eligibility and benefit levels i use quality control data from the afdc tanf program over 1983 2002 to document changes in the corresponding effective tax rates and benefit guarantees after welfare reform i find that effective tax rates fell by 50 percent on earned income and by at least 70 percent on unearned income states that aggressively reformed their welfare programs especially those that implemented a stringent sanctions policy on benefits experienced more rapid reductions in effective tax rates and guarantees

unintended consequences of sanctions for human rights conflict minerals and infant mortality abstractare victims of human rights abuses better off with or without economic sanctions targeted at their perpetrators we study this question in the context of a us human rights policy the conflict minerals section of the 2010 dodd frank act by discouraging companies from sourcing tin tungsten and tantalum from the eastern democratic republic of the congo the policy has acted as a de facto boycott on mineral purchases that may finance warlords and armed militias we estimate the policy s impact on the mortality of children born before 2013 and find that it increased the probability of infant deaths in villages near the policy targeted mines by at least 143 percent we find suggestive evidence that the legislation induced boycott did so by reducing mothers consumption of infant health care goods and services

identifying the effect of unemployment on crime abstract in this paper we analyze the relationship between unemployment and crime using u s state data we estimate the effect of unemployment on the rates of seven felony offenses we control extensively for state level demographic and economic factors and estimate specifications that include state specific time trends state effects and year effects in addition we use prime defense contracts and a state specific measure of exposure to oil shocks as instruments for unemployment rates we find significantly positive effects of unemployment on property crime rates that are stable across model specifications our estimates suggest that a substantial portion of the decline in property crime rates during the 1990s is attributable to the decline in the unemployment rate the evidence for violent crime is considerably weaker however a closer analysis of the violent crime of rape yields some evidence that the employment prospects of males are weakly related to state rape rates

the impact of taxes and transfers on job search this article develops a framework for analyzing the impact of taxes and transfers on the length of time a person waits to accept a job while receiving transfer payments it considers the impact of changes in the parameters of a generic tax transfer system characterized by a guarantee and a tax rate on the costs and benefits of search the analytical results indicate that increases in guarantees need not increase duration of unemployment the results for unemployment insurance are a special case of the more general formulation developed in this article in fact increases in guarantees and increases in tax rates may shorten the duration of unemployment while decreasing the labor supply of transfer recipients

exchange rates forecasting local or global methods exchange rates forecasters usually assume that local methods nearest neighbour dominate the global ones neural networks or genetic programming for example in this article first we use different generalizations of the standard nearest neighbours to predict the dynamic evolution of the yen us and pound sterling us exchange rates one period ahead second we compare our results with those employing global methods such as neural networks genetic programming data fusion and evolutionary neural networks finally we find out the existence of predictable structures periods ahead our results reveal a slightly but significant forecasting ability for one period ahead which is lost when more periods ahead are considered and no important predictive differences between local and global methods have been found

exchange rate predictability 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 that exchange rate fluctuations are very difficult to predict using economic models and that a random walk forecasts exchange rates better than any economic model the meese and rogoff puzzle however the recent literature has identified a series of fundamentals methodologies that claim to have resolved the puzzle this article provides a critical review of the recent literature on exchange rate forecasting and illustrates the new methodologies and fundamentals that have been recently proposed in an up to date thorough empirical analysis overall our analysis of the literature and the data suggests that the answer to the question are exchange rates predictable is it depends on the choice of predictor forecast horizon sample period model and forecast evaluation method predictability is most apparent when one or more of the following 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 the random walk without drift

afdc benefits and the inter urban variation in poverty among female headed households the percentage of families headed by females in poverty varies widely across metropolitan areas for example 8 37 of all families in albany georgia were female headed and in poverty in 1980 while in sheboygan wisconsin the figure was 1 1 though not as dramatic as this interregional difference intra regional variation can also be significant in detroit michigan 4 90 of families were femaled headed and in poverty and in the closest interstate metropolitan area toledo ohio the figure was 3 77 recent research into the behavior of low income femaleheaded families suggests that state benefit differentials in aid to families with dependent children afdc may in part be responsible in this paper we construct a model that explains an important and overlooked implication of non uniform benefit standards among states the inter urban variation in the size of the potential and actual afdc recipient population particular attention is given to 1 the impact of interurban differences in real afdc payments 2 the potential of afdc to alter the number of female headed families in poverty and 3 the relative importance of other urban characteristics in explaining the size of the potential and actual afdc recipient population the model uses 1980 census data and is estimated for all standard metropolitan statistical areas for which we were able to obtain data

parental and public transfers to young women and their children this paper presents estimates of how an increase in welfare benefits for the welfare eligible affects the provision of parental support in the form of both financial transfers and shared residence based on an overlapping generations framework incorporating game theoretic interactions among parents their adult children and the government the empirical results obtained from two longitudinal data sets indicate that the parents view a dollar of income earned by their daughters as equivalent to a dollar increase in welfare benefits however there exists only a small trade off between the generosity of government aid and the incidence of parental aid data are for the united states and are from the national longitudinal survey of young women for 1968 1984 and the national longitudinal survey of youth for 1979 1984 excerpt

on the profitability of technical trading rules based on artificial neural networks evidence from the madrid stock market in this paper we investigate the profitability of a simple technical trading rule based on artificial neural networks anns our results based on applying this investment strategy to the general index of the madrid stock market suggest that in absence of trading costs the technical trading rule is always superior to a buy and hold strategy for both bear market and stable market episodes on the other hand we find that the buy and hold strategy generates higher returns than the trading rule based on ann only for a bull market subperiod 2000 elsevier science s a all rights reserved

the intergenerational transfer of welfare dependency some statistical evidence does a mother s welfare receipt increase the future dependency of her children does the welfare system thus stimulate the dependency of future generations parameter estimates reported here suggest such intergenerational effects the sample comprises young girls and their mothers after control for observed and unobserved heterogeneity a mother s welfare participation is found to increase her daughter s later welfare dependency copyright 1992 by mit press

estimates of effective guarantees and tax rates in the afdc program for the post obra period we employ the model used by fraker moffitt and wolf 1985 to estimate effective tax rates and guarantees in the aid to families with dependent children afdc program for the years 1967 82 to produce comparable estimates for 1983 91 we compare this method of benefit prediction with other methods in the literature and clarify the interpretation of estimates generated using the fraker moffitt and wolf model we use our estimates for the period from 1983 to 1991 to examine how effective afdc tax rates and guarantee levels have changed over time and relative to nominal or official program parameters

the effects of poor neonatal health on children s cognitive development we make use of a new data resource merged birth and school records for all children born in florida from 1992 to 2002 to study the relationship between birth weight and cognitive development using singletons as well as twin and sibling fixed effects models we find that the effects of early health on cognitive development are essentially constant through the school career that these effects are similar across a wide range of family backgrounds and that they are invariant to measures of school quality we conclude that the effects of early health on adult outcomes are therefore set very early

dynamic factor model with infinite dimensional factor space forecasting abstract the paper compares the pseudo real time forecasting performance of threedynamic factor models i the standard principal component model stock and watson 2002a ii the model based on generalized principal components forni et al 2005 iii the model recently proposed in forni et al 2015 and forni et al 2016 we employa large monthly dataset of macroeconomic and financial time series for the us economy which includes the great moderation the great recession and the subsequent recovery using a rolling window for estimation and prediction we find that iii neatly outperforms i and ii in the great moderation period for both industrial production and inflation and for inflation over the full sample however iii is outperfomed by i and ii over thefull sample for industrial production

forecasting the distribution of economic variables in a data rich environment this article investigates the relevance of considering a large number of macroeconomic indicators to forecast the complete distribution of a variable the baseline time series model is a semiparametric specification based on the quantile autoregressive qar model that assumes that the quantiles depend on the lagged values of the variable we then augment the time series model with macroeconomic information from a large dataset by including principal components or a subset of variables selected by lasso we forecast the distribution of the h month growth rate for four economic variables from 1975 to 2011 and evaluate the forecast accuracy relative to a stochastic volatility model using the quantile score the results for the output and employment measures indicate that the multivariate models outperform the time series forecasts in particular at long horizons and in tails of the distribution while for the inflation variables the improved performance occurs mostly at the 6 month horizon we also illustra

evolving u s monetary policy and the decline of inflation predictability based on a structural var with time varying parameters and stochastic volatility for the post wwii u s we document a negative correlation between the evolution of the long run coefficient on inflation in the structural monetary rule and the evolution of the persistence and predictability of inflation relative to a trend component using an estimated sticky price model we show that a more aggressive policy stance towards inflation causes a decline in inflation predictability jel e37 e52 e58

why is the rate of single parenthood lower in canada than in the u s a dynamic equilibrium analysis of welfare policies a critical question in the design of welfare policies is whether to target aid according to household composition as was done in the u s under the aid to families with dependent children afdc program or to rely exclusively on means testing as in canada restricting aid to single mothers for instance has the potential to distort behavior along three demographic margins marriage fertility and divorce we contrast the canadian and the u s policies within an equilibrium model of household formation and human capital investment on children policy differences we consider are eligibility dependence of transfers on the number of children and generosity of transfers our simulations indicate that the policy differences can account for the higher rate of single parenthood in the u s they also show that canadian welfare policy is more effective for fostering human capital accumulation among children from poor families interestingly a majority of agents in our benchmark economy prefers a welfare system that targets single mothers as the u s system does yet does not unlike the u s system make transfers dependent on the number of children

labour market forecasting in germany is disaggregation useful this paper examines whether labour market forecasts can be improved by using disaggregated information we construct vector autoregressive models for employment by sector in order to produce out of sample forecasts of aggregate employment forecast accuracy is compared to univariate models by using clark west tests in an application to german data it is evident that disaggregation significantly improves the employment forecast moreover using fluctuation window tests we find that disaggregation yields superior results especially in phases with strong and sustained employment changes

the application of neural networks to the divisia index debate evidence from three countries if monetary policy is to be effective in controlling the macroeconomy accurate measurement of the money supply is essential the conventional way of measuring the level of the money supply is to simply sum the constituent liquid liabilities of banks however a more sophisticated weighted monetary index has been proposed to take account of the varying degrees of liquidity of the short term instruments included in money inferences about the effects of money on economic activity may depend importantly on the choice of monetary index because simple sum aggregates cannot internalize pure substitution effects this hypothesis is investigated in the current paper a divisia index measure of money is constructed for the usa uk and italian economies and its inflation forecasting potential is compared with that of its simple sum counterpart in each of the three countries the powerful artificial intelligence technique of neural networks is used to allow a completely flexible mapping of the variables and a grea

inside the war on poverty the impact of food stamps on birth outcomes this paper evaluates the health impacts of a signature initiative of the war on poverty the introduction of the modern food stamp pro gram fsp using variation in the month fsp began operating in each u s county we find that pregnancies exposed to fsp three months prior to birth yielded deliveries with increased birth weight with the largest gains at the lowest birth weights we also find small but statistically insig nificant improvements in neonatal mortality we conclude that the sizable increase in income from fsp improved birth outcomes for both whites and african americans with larger impacts for african american mothers n this paper we evaluate the health consequences of a sizable improvement in the resources available to ameri ca s poorest in particular we examine the impact of the food stamp program fsp which in 2007 provided 34 billion in payments to about 13 million households on infant health our paper makes two distinct contributions first although the goal of the fsp is to increase the nutri tion of the poor few papers have examined its impact on health outcomes second building on work by hoynes and schanzenbach 2009 we argue that the fsp treatment represents an exogenous increase in income for the poor our analysis therefore represents a causal estimate of the impact of income on health an important topic with little convincing evidence due to concerns about endogeneity and reverse causality currie 2009 we use the natural experiment afforded by the nation wide rollout of the modern fsp during the 1960s and early 1970s our identification strategy uses the sharp timing of the county by county rollout of the fsp which was initially constrained by congressional funding authorizations and ultimately became available in all counties by 1975 speci fically we use information on the month the fsp began operating in each of the roughly 3 100 u s counties and examine the impact of the fsp rollout on mean birth weight low birth weight gestation and neonatal mortality throughout the history of the fsp the program para meters have been set by the u s department of agriculture usda and are uniform across states in the absence of the state level variation often leveraged by economists to eval uate transfer programs previous fsp research has typically resorted to strong assumptions as to the comparability of fsp participants and eligible nonparticipants currie 2003 not surprisingly the literature is far from settled as to what casual impact if any the fsp has on nutrition and health hoynes and schanzenbach 2009 use this county rollout to examine the impact of the fsp on food consumption using the psid they found that the introduction of the fsp increased total food spending and decreased out of pocket food spending importantly consistent with the predictions of canonical microeconomic theory the magnitude of the increase in food expenditures was similar to an equivalent sized income transfer implying that most recipient house holds were inframarginal that is they would spend more on the subsidized good than the face value of the in kind transfer as one of the largest antipoverty programs in the united states comparable in cost to the earned income tax credit eitc and substantially larger than temporary assistance to needy families tanf understanding fsp effects is valuable both in its own right and for what it reveals about the relationship between income and health 1

measuring the accuracy of federal reserve forecasts markets across the world pay enormous attention to every economic forecast made by federal reserve governors particularly those from the chair this article develops a new way that the academic literature can assess the accuracy of these federal reserve forecasts in particular our proposed method allows for both general and specific predictions to be assessed while also accounting for the macroeconomic volatility that prevails at the time of the forecast to develop this measure we expand upon a methodology proposed by the wall street journal to score the accuracy of forecasts made by the fed our results show that alan greenspan was consistently the most accurate forecaster among fed governors while the most recent chair in our sample janet yellen has performed relatively poorly more generally we find that the chairs have become less accurate over time with their forecasts and have also tended to make fewer specific predictions

forecasting us consumer price index does nonlinearity matter abstractthe objective of this article is to predict both in sample and out of sample the consumer price index cpi of the us economy based on monthly data covering the period of 1980 1 2013 12 using a variety of linear random walk rw autoregressive ar and seasonal autoregressive integrated moving average sarima and nonlinear artificial neural network ann and genetic programming gp univariate models our results show that while the sarima model is superior relative to other linear and nonlinear models as it tends to produce smaller forecast errors statistically these forecasting gains are not significant relative to higher order ar and nonlinear models though simple benchmarks like the rw and ar 1 models are statistically outperformed overall we show that in terms of forecasting the us cpi accounting for nonlinearity does not necessarily provide us with any statistical gains

neural network models for inflation forecasting an appraisal we assess the power of diverse artificial neural network ann models as forecasting tools for monthly inflation rates for 28 organization for economic co operation and development oecd countries in the context of short out of sample forecasting horizon we find that on average the ann models were a superior predictor for inflation for 45 while the autoregressive model of order one ar1 model performed better for 23 of the countries furthermore we develop arithmetic combinations of several ann models and find that these may also serve as credible tools for forecasting inflation

welfare the earned income tax credit and the labor supply of single mothers during 1984 1996 welfare and tax policy were changed to encourage work by single mothers the earned income tax credit was expanded welfare benets were cut welfare time limits were added and welfare cases were terminated medicaid for the working poor was expanded as were training programs and child care during this same time period there were unprecedented increases in the employment and hours of single mothers we show that a large share of the increase in work by single mothers can be attributed to the eitc and other tax changes with smaller shares for welfare benet cuts welfare waivers training programs and child care programs