the effect of concealed weapons laws an extreme bound analysis i introduction in a recent paper lott and mustard 1997 provide evidence on the relationship between concealed handgun laws often called right to carry or shall issue laws and crime they examine 16 years 1977 1992 of county level crime data from the fbi s uniform crime reports ucr and compare crime rates before and after the introduction of right to carry laws controlling for demographic factors and county level arrest rates they find that introducing right to carry laws resulted in significant reductions in the violent crimes of murder rape aggravated assault and robbery and increases in some property crimes such as burglary larceny and auto theft the latter increase is attributed to a substitution effect suggesting that potential criminals will at the margin switch from violent crimes that have now become more risky to them to property crimes where the probability of encountering an armed victim is much lower comparing these two effects coupled with a slight increase in accidental gunshots from individuals owning concealed handguns lott and mustard conclude that the social benefits of these laws exceed their costs economists who present one set of empirical results are always vulnerable to criticism that they could have selected another group of right hand side variables or modeled them in a different way lott and mustard s analysis has been criticized by black and nagin 1998 who re examine the data set choosing a different set of controls and a different model and reach different conclusions about the effects of the right to carry laws uncertainty about what to control for and how to do it has been called model uncertainty by leamer 1983 who suggests estimating the size of model uncertainty by testing the sensitivity of the particular results to many different possible model specifications this methodology is called extreme bound analysis in this paper we report extreme bounds from nearly 20 000 estimated regressions that vary the modeling choices made by lott and mustard we find support for the deterrence result from a broad set of specifications in particular we find strong support for the hypothesis that the right to carry laws are associated with a decrease in the trend in violent crime rates we do not find much support for a substitution effect into property crimes in what follows we first describe some econometric issues related to the problem of estimating the effect of the right to carry laws on crime rates we then report our extreme bound analysis and offer concluding remarks ii extreme bound analysis although behavioral theories can provide general guidance about the kinds of factors that should influence the crime rate they do not specifically determine which variables should be included in a regression analysis in addition conflicting theories typically suggest alternate model specifications in the context of crime rates for example we might expect higher crime rates in counties with higher unemployment and a larger percentage of young men age 18 30 following convention we call this a supply effect nagin 1978 however it is also possible that higher unemployment leads to the passage of right to carry laws or that right to carry laws are less likely to be enacted in areas with high percentages of young men age 18 30 we call this a demand effect omitted or unobserved demand or supply variables may induce a spurious correlation between the adoption of the right to carry laws and crime rates that has nothing to do with the supply of crime leamer 1983 suggests a formal specification search or extreme bound analysis to estimate the size of such model uncertainty surrounding certain regression results for example by including different right hand side variables in a supply of crime equation for murder leamer estimates an extreme bound interval for the deterrent effect of capital punishment that ranges from 29 to 12 murders prevented for every execution

does better electricity supply increase household enterprise income in india electricity access is an important driver of economic development previous studies treat electrification as a binary outcome in reality in developing countries households with access face chronic supply interruptions which can last up to 12 h a day this is the first study to estimate the income differences in urban and rural non farm enterprises in indian households with different levels of electricity supply using a subset of 8125 households in the india human and development survey a cross sectional national sample of 41 554 households i use multiple econometric approaches including linear regression with an instrument variable and propensity score matching with multiple treatment levels to represent supply availability i find a robust income effect of access and suggestive evidence of the effect of better supply availability the aggregate income impact across existing nfes in india of improving supply to 16 h a day could be on the order of 0 1 percent of gdp

why has u s inflation become harder to forecast we examine whether the u s rate of price inflation has become harder to forecast and to the extent that it has what changes in the inflation process have made it so the main finding is that the univariate inflation process is well described by an unobserved component trend cycle model with stochastic volatility or equivalently an integrated moving average process with time varying parameters this model explains a variety of recent univariate inflation forecasting puzzles and begins to explain some multivariate inflation forecasting puzzles as well

the deterrent effect of capital punishment evidence from a judicial experiment i introduction the contemporary debate over capital punishment involves a number of important arguments based on either moral principles or social welfare considerations the primary social welfare issue viewed as the most important single consideration for both sides in the death penalty controversy is whether capital punishment deters capital crimes see for example zimring and hawkins 1986 this issue is also of great interest to several states that are currently considering a change in their death penalty laws 1 psychologists and criminologists studied the death penalty initially and reported no deterrent effect see for example sellin 1959 and eysenck 1970 economists joined the debate later with ehrlich s 1975 and 1977 studies that report a significant deterrent effect applying regression analysis to u s aggregate data for 1933 69 and state level data for 1940 and 1950 ensuing studies use either ehrlich s data with different regression specifications different regressors functional form or endogenous variables or postmoratorium data with a variant of ehrlich s regression model results range from a substantial deterrent effect to no effect or a small adverse effect 2 this study uses a new approach to advance the deterrence literature we exploit an important characteristic that other studies have not considered the experimental nature of the moratorium that the supreme court imposed on executions during the 1970s the moratorium can be viewed as an exogenously imposed judicial experiment the experiment s effect on murder rates provides evidence about the deterrent effect of capital punishment we compare the murder rate for each state immediately before and after it suspended or reinstated the death penalty many factors that affect crime for example law enforcement judicial demographic and economic variables change only slightly over a short period of time therefore changes in a state s murder rate quickly following a change in its death penalty law can be attributed to the legal change also there are considerable cross state variations in the timing and duration of the moratorium that began and ended in different years in different states ranging from four to thirty years see tables 1 and 2 3 these variations can strengthen our comparison based inference because observing similar changes in murder rates immediately after the same legal change in different years and in various states provides compelling evidence of the moratorium s effect on murder moreover our analysis benefits from the experiences of the states that suspended and reinstated their death penalty statutes several times 4 for states that experience similar murder rate changes after suspensions or reinstatements in different crime economic and demographic environments the contribution of the legal change to murder is paramount we supplement the before and after comparisons with time series and panel data regression analyses unlike most existing studies we use both pre and postmoratorium data the regressions disentangle the effect of having death penalty laws on murder from the effect of actual executions on murder basing our inference on two different approaches allows us to corroborate our findings and also detract from the modeling concerns voiced at previous studies that use only regression analysis we also apply a battery of tests to examine the robustness of the findings these include regression sensitivity checks with 89 additional regression equations that differ from our base models in regressors functional form data and estimation method in addition we test whether the moratorium has an effect on property crimes that are not punishable by death if the relationship between the moratorium and these crimes is similar to the relationship between the moratorium and murder then we should suspect that murder rate changes are the result of broader trends in criminal behavior affecting all crimes

social networks and technology adoption in northern mozambique despite their potentially strong impact on poverty agricultural innovations are often adopted slowly using a unique household dataset on sunflower adoption in mozambique we analyse whether and how individual adoption decisions depend upon the choices of others in the same social networks since farmers anticipate that they will share information with others we expect farmers to be more likely to adopt when they know many other adopters dynamic considerations however suggest that farmers who know many adopters might strategically delay adoption to free ride on the information gathered by others we present empirical evidence that shows that the relationship between the probability of adoption and the number of known adopters is shaped as an inverse u in line with information sharing the network effect is stronger for farmers who report discussing agriculture with others the data contains information which is needed to ameliorate the identification issues that commonly arise in this context in particular social networks are precisely identified and in addition we can control for village heterogeneity and endogenous group formation

corporate taxes and the location of intangible assets within multinational firms intangible assets like patents and trademarks are increasingly seen as the key to competitive success and as the drivers of corporate profit moreover they constitute a major source of profit shifting opportunities in multinational enterprises mnes due to a highly intransparent transfer pricing process this paper argues that for both reasons mnes have an incentive to locate intangible property at affiliates with a relatively low corporate tax rate using panel data on european mnes and controlling for unobserved time constant heterogeneity between affiliates we find that the lower a subsidiary s corporate tax rate relative to other affiliates of the multinational group the higher is its level of intangible asset investment this effect is statistically and economically significant even after controlling for subsidiary size and accounting for a dynamic intangible investment pattern

when does unreliable grid supply become unacceptable policy costs of power supply and outages in rural india abstract despite frequent blackouts and brownouts extension of the central grid remains the indian government s preferred strategy for the country s rural electrification policy this study reports an assessment that compares grid extension with distributed generation dg alternatives based on the subsidies they will necessitate and costs of service interruptions that are appropriate in the rural indian context using cross sectional household expenditure data and region fixed effects models average household demand is estimated the price elasticity of demand is found to be in the range of 0 3 to 0 4 interruption costs are estimated based on the loss of consumer surplus due to reduced consumption of electric lighting energy that results from intermittent power supply different grid reliability scenarios are simulated despite the inclusion of interruption costs standalone dg does not appear to be competitive with grid extension at distances of less than 17 km however backing up unreliable grid service with local dg plants is attractive when reliability is very poor even in previously electrified villages introduction of energy efficient lighting changes these economics and the threshold for acceptable grid unreliability significantly reduces a variety of polices to promote accelerated deployment and the wider adoption of improved end use efficiency warrant serious consideration

macroeconomic forecasting and structural change the aim of this paper is to assess whether explicitly modeling structural change increases the accuracy of macroeconomic forecasts we produce real time out of sample forecasts for inflation the unemployment rate and the interest rate using a time varying coefficients var with stochastic volatility tv var for the us the model generates accurate predictions for the three variables in particular for inflation the tv var outperforms in terms of mean square forecast error all the competing models fixed coefficients vars time varying ars and the na ove random walk model these results are also shown to hold over the period commonly referred to as the great moderation

model uncertainty and the effect of shall issue right to carry laws on crime in this paper we explore the role of model uncertainty in explaining the different findings in the literature regarding the effect of shall issue right to carry concealed weapons laws on crime in particular we systematically examine how different modeling assumptions affect the results we find little support for some widely used assumptions in the literature e g population weights but find that allowing for the effect of the law to be heterogeneous across both counties and over time is important for explaining the observed patterns of crime in terms of model uncertainty we find that there is substantial variation in the estimated effects for each model across all dimensions of the model space this suggests that one should be cautious in using the results from any particular model to inform policy decisions

a markov chain monte carlo analysis of the effect of two rate property taxes on construction abstract the paper examines the effect of taxing structures at a lower rate than land on the level of construction in 15 pennsylvania municipalities between 1972 and 1994 these municipalities are compared with 204 similar pennsylvania municipalities that tax land and structures at the same rate to reduce the standard errors of estimate below those of a quasi maximum likelihood estimation the model parameters are estimated with a markov chain monte carlo method the gibbs sampler in contrast to earlier tax analyses the estimates indicate that cities with two rate taxes enjoy significantly higher levels of construction than they would with one rate taxes

more guns more crime this paper examines the relationship between gun ownership and crime previous research has suffered from a lack of reliable data on gun ownership i exploit a unique data set to reliably estimate annual rates of gun ownership at both the state and the county levels during the past two decades my findings demonstrate that changes in gun ownership are significantly positively related to changes in the homicide rate with this relationship driven almost entirely by an impact of gun ownership on murders in which a gun is used the effect of gun ownership on all other crime categories is much less marked recent reductions in the fraction of households owning a gun can explain one third of the differential decline in gun homicides relative to nongun homicides since 1993

the semiparametric asymmetric stochastic volatility model with time varying parameters the case of us inflation we propose a semiparametric extension of the time varying parameter regression model with asymmetric stochastic volatility for parameter estimation we use bayesian methods we illustrate our methods with an application to us inflation

abortion and crime unwanted children and out of wedlock births legalizing abortion can either increase or decrease investments in children s human capital this article finds that abortion increases the number of out of wedlock births using data that more directly links the criminal with age when the crime was committed not age when arrested and fixing the assumption in previous research that no abortions took place prior to the roe v wade decision in the 45 states affected by that decision we find consistent significant evidence that legalizing abortions increased murders by over 7 linear estimates indicate that legalization increased total annual victimization costs by at least 3 2 billion jel k42 k14 j24

the impact of gun laws a model of crime and self defense abstract we develop a model of crime and self defense that provides a rationale both for the right to bear arms and for regulating this right it also suggests that a severe punishment for gun crime might best guarantee both the security and freedom of potential victims

macroeconomic forecasting performance under alternative specifications of time varying volatility summary this paper compares alternative models of time varying volatility on the basis of the accuracy of real time point and density forecasts of key macroeconomic time series for the usa we consider bayesian autoregressive and vector autoregressive models that incorporate some form of time varying volatility precisely random walk stochastic volatility stochastic volatility following a stationary ar process stochastic volatility coupled with fat tails garch and mixture of innovation models the results show that the ar and var specifications with conventional stochastic volatility dominate other volatility specifications in terms of point forecasting to some degree and density forecasting to a greater degree copyright 2014 john wiley sons ltd

privately produced general deterrence in this study we use county data on private security establishments and employment for 1977 92 to test two hypotheses first we test whether private security deters crime second we test whether john lott and david mustard s estimates of the impact of shall issue laws on crime are biased because of a lack of controls for private security we find little evidence that private security reduces the crime rates for assault or larceny some estimates suggest murder robbery and or auto theft may be deterred by private security although these results are not robust of all the index crime categories only rape is estimated to have a consistent negative relationship with private security in addition we find little evidence that the lott and mustard results are biased because of a lack of controls for the private security measures employed in this study

sri lanka s rural non farm economy removing constraints to pro poor growth summary we use a survey of rural enterprises from sri lanka to explore characteristics of the informal non farm sector and identify obstacles to its expansion and productivity value added in this sector amounts to 80 of agricultural gdp participating households incomes are significantly higher than those of households who do not participate barriers to entry are low and the impact of non farm development on inequality modest implying a large potential contribution to growth and poverty reduction infrastructure constraints negatively affect new startups investment in and productivity of existing enterprises with small enterprises being particularly affected

power shortages in developing countries impacts and policy implications abstract this paper is concerned with the short and long run economic impacts of power supply inadequacy in developing countries the paper provides an overview of the methodology for assessing the economic costs of power shortages and presents monetary estimates of some components of these costs for several developing countries particularly india and pakistan the final section discusses the policy implications of the problem including the need for significant changes in investment planning and resource mobilization strategies efficiency improvements pricing reforms and the integration of public and private power suppliers

does the right to carry concealed handguns deter countable crimes only a count analysis can say abstract an analysis of the effects of right to carry laws on crime requires particular distributional and structural considerations first because of the count nature of crime data and the low number of expected instances per observation in the most appropriate data least squares methods yield unreliable estimates second use of a single dummy variable as a measure of the nationwide effect of right to carry laws is likely to introduce geographical and intertemporal aggregation biases into the analysis in this paper we use a generalized poisson process to examine the geographical and dynamic effects of right to carry laws on reported homicides rapes and robberies we find that the effects of such laws vary across crime categories u s states and time and that such laws appear to have statistically significant deterrent effects on the numbers of reported murders rapes and robberies

risk management and the stated investment costs by independent power producers abstract evidence presented in this article suggests that in less developed countries the independent power producers ipps have an incentive to overstate the investment cost as an instrument to mitigate the country risk in greenfield electricity generation projects this technique is an effective risk mitigation strategy under the conventional financing and contractual arrangements in such markets it however promotes the use of less efficient power plants the distortion in the choice of technology results in economic losses over the life of the plants the findings of this research have important policy implications that can assist regulatory bodies governments and international financing agencies to adopt a more informed approach to the integration of private investment into the electricity generation capacity of developing countries

the role of energy in creating opportunities for income generation in the indian himalayas abstract although it is clear that there are links between access to modern energy carriers and economic development the necessary understanding of these links is lacking research in literature shows mixed results this paper studies the mechanisms that link energy supply and impacts on income generation empirical data from 264 small scale enterprises in 16 clusters of villages in the indian himalayas is analysed the steps between energy supply and impacts on enterprise are stratified studying actual energy use of energy services the analysis shows that for the majority of typical enterprises in rural areas which are informal enterprises with less than 6 workers the impacts on incomes are low even though the uptake of electricity in enterprises is high the key factor influencing impacts on incomes is limitations in access to markets for enterprise products especially social access for most small scale rural entrepreneurs the main impacts of energy access are on wellbeing the findings are discussed to come to policy recommendations in the field of energy supply and complementary fields to achieving positive impacts on rural development

rural electrification and household labor supply evidence from nigeria in nigeria the most populated african country rural electrification is a critical issue because of the low household electrification rate and the poor quality of the grid this energy poverty has harmful economic and social consequences in rural areas such as low productivity lack of income generating opportunities and poor housing conditions in this paper we consider electrification as a technical shock that may affect household time allocation using the 2010 2011 general household survey we investigate how electrification affects female and male labor supply decisions within rural households in nigeria focusing on husband wife data we consider potential dependence in spouses labor supply decisions and address the challenge of zero hours of work using a recent copula based bivariate hurdle model deb et al 2013 in addition an instrumental variable strategy helps identify the causal effect of elec trification our results underline that this dependence in spouses labor supply decisions is critical to consider when assessing the impact of electrification on these outcomes electrifi cation increases the working time of both spouses in the separate assessments but the joint analysis emphasizes only a positive effect of electrification on husbands working time in line with the household labor supply approach our findings highlight that within the household the labor supply decisions of one spouse significantly affect those of the other spouse thus if we neglect the effect of electrification on the spouse of the individual examined we may fail to assess how this individual has been actually affected by this common shock on both spouses our results suggest that these within household relationships promote husbands working time at the expense of wives working time

the effects of rural electrification on employment new evidence from south africa this paper estimates the impact of electrification on employment growth by analyzing south africa s mass roll out of electricity to rural households using several new data sources and two different identification strategies an instrumental variables strategy and a fixed effects approach i find that electrification significantly raises female employment within five years this new infrastructure appears to increase hours of work for men and women while reducing female wages and increasing male earnings several pieces of evidence suggest that household electrification raises employment by releasing women from home production and enabling microenterprises migration behavior may also be affected jel h54 l94

the interaction between potential criminals and victims demands for guns abstract i develop a model with endogenous gun ownership and study the interaction between the demands for guns by heterogeneous potential offenders and victims i show that the interaction depends on pervasiveness of guns injury probabilities and in particular the impact of the gun on the probability of success against armed relative to unarmed adversaries while the sanction on armed offense is maximal under plausible conditions the sanction on unarmed offense balances direct deterrence benefits against marginal deterrence costs and corresponding net property losses optimal gun control policy disarms all offenders but allows the attractive potential victims to own guns the paper also discusses the effects of enforcement and price controls on the demands for guns and welfare

identity and schooling some lessons for the economics of education abstract this review culls noneconomic literature on education by sociologists anthropologists and practitioners to present a new economic theory of students and schools this theory elaborates two themes that have eluded economic analysis first is the student as decision maker whose primary motivation is her identity second is a conception of the school as a social institution this framework suggests a new perspective on questions such as resource allocation and school reform it explains why some educational policies succeed and others fail we show how sociological variables may affect outcomes and suggest ways economists can incorporate them into theoretical and empirical research

were there regime switches in u s monetary policy working paper 2004 14 june 2004 abstract a multivariate model identifying monetary policy and allowing for simultaneity and regime switching in coefficients and variances is confronted with u s data since 1959 the best fit is with a model that allows time variation in structural disturbance variances only among models that also allow for changes in equation coefficients the best fit is for a model that allows coefficients to change only in the monetary policy rule that model allows switching among three main regimes and one rarely and briefly occurring regime the three main regimes correspond roughly to periods when most observers believe that monetary policy actually differed and the differences in policy behavior are substantively interesting though statistically ill determined the estimates imply monetary targeting was central in the early 80s but was also important sporadically in the 70s the changes in regime were essential neither to the rise in inflation in the 70s nor to its decline in the 80s jel classification e52 e47 c53 key words counterfactuals lucas critique policy rule monetary targeting simultaneity volatility model comparison i the debate over monetary policy change in an influential paper clarida gali and gertler 2000 cgg presented evidence that us monetary policy changed between the 1970 s and the 1980 s indeed that in the 70 s it was drastically worse they found that the policy rule apparently followed in the 70 s was one that when embedded in most stochastic general equilibrium models would imply non uniqueness of the equilibrium and hence vulnerability of the economy to sunspot fluctuations of arbitrarily large size their estimated policy rule for the later period on the other hand eliminated this indeterminacy these results are a possible explanation of the volatile and rising inflation of the 70 s and of its subsequent decline the cgg analysis has two important weaknesses one is that it fails to account for stochastic volatility us macroeconomic variables and particularly the federal funds rate have gone through periods of tranquility and of agitation with forecast error variances varying greatly from period to period ignoring such variation does not lead to inconsistent estimates of model parameters when the forecasting equations themselves are constant but it strongly biases toward a finding of changed parameters tests of the stability of the forecasting equations the other weakness is that the cgg analysis rests on powerful and implausible identifying assumptions they require that we accept that the response of the monetary authority to expected future inflation and output does not depend on the recent history of inflation money growth or output it is hard to understand why this should be so especially in the 70 s when monetarism was a prominent theme in policy debates congress was requiring reports from the fed of projected time paths of monetary aggregates and financial markets were reacting sensitively to weekly money supply numbers the requirement for existence and uniqueness of equilibrium in dynamic models is that the monetary policy rule show a more than unit response of interest rates to the sum of the logs of all nominal variables that appear on the right hand side of the reaction function if we force a particular measure of expected future inflation to proxy for all the nominal variables that actually appear independently in the reaction function we are bound to get distorted conclusions on the one hand because expected future inflation will be a noisy measure of the full set of nominal influences on policy we might get downward bias in our estimates from the usual errorsin variables effect on the other hand to the extent that expected future inflation like most expected future values shows less variation than current nominal variables we could find a mistaken scaling up of coefficients

rural electrification gender and the labor market a cross country study of india and south africa abstract this cross country study estimates the effect of household electrification on labor market outcomes for rural individuals in india and south africa two developing countries that have implemented large scale rural electrification schemes in recent decades two identification strategies are used propensity score matching and panel fixed effects estimation we focus on three indicators of labor market success employment earnings and hours worked we find that electrification raises the annual incomes earned by those who work in paid employment for both men and women in both countries for india both genders work fewer hours suggesting that electricity raises productivity for south africa where the labor market has less absorptive capacity there is no employment benefit of electrification but women who work benefit the most from the productivity gains of electrification they have greater increases in earnings than men our findings suggest that the benefits of electrification do not accrue universally but rather depend on gender roles supporting policies and the labor absorptive capacity of the economy

the stochastic volatility in mean model with time varying parameters an application to inflation modeling this article generalizes the popular stochastic volatility in mean model to allow for time varying parameters in the conditional mean the estimation of this extension is nontrival since the volatility appears in both the conditional mean and the conditional variance and its coefficient in the former is time varying we develop an efficient markov chain monte carlo algorithm based on band and sparse matrix algorithms instead of the kalman filter to estimate this more general variant the methodology is illustrated with an application that involves u s u k and germany inflation the estimation results show substantial time variation in the coefficient associated with the volatility highlighting the empirical relevance of the proposed extension moreover in a pseudo out of sample forecasting exercise the proposed variant also forecasts better than various standard benchmarks

semiparametric bayesian inference for time varying parameter regression models with stochastic volatility we develop a bayesian semiparametric method to estimate a time varying parameter regression model with stochastic volatility where both the error distributions of the observations and parameter driven dynamics are unspecified we illustrate our methodology with an application to inflation