Does inflation kill? Exposure to food inflation and child mortality

Unlike extreme malnutrition shocks, such as famine and drought which grab the attention of the media, international aid organizations and policymakers, malnutrition due to food price hikes are often neglected and their impacts on children are not well known. It is well established that malnutrition during the critical periods of early life – between conception and the first 1000 days after birth – has lasting consequences on health and mortality. In this paper, using a uniquely constructed data from Ethiopia that takes advantage of high-frequency local retail food prices, we examine the impact of early life exposure to food price inflation on child mortality. Following survival events since conception, we estimate the causal impact of exposure to inflation during in-utero and infancy. The results show that exposure to a 10 percent inflation in staple food prices during in-utero decreases the survival of children under the age of five by about 5.4 percent. We also find that the impacts are non-linear depending on the specific month of exposure and substantially vary by observable characteristics and the type of staple food.     

Another Look at Tenure Choice, Inflation, and Taxes

The purpose of this paper is to explore the impact of inflation on the demand for housing. The first part of the paper presents a theoretical model that identifies the effects of inflation on the after-tax cost of housing and the choice between rental and owner-occupied housing. The second part discusses the results of a simulation model that measures the effect of inflation on the aggregate demand for housing, the aggregate homeownership rate, and the price of housing. The paper concludes that while inflation can be expected to increase the aggregate demand for housing and the price of housing relative to the general price level, inflation should ultimately lead to lower rates of homeownership. A corollary that is probably more relevant today is that lower inflation rates should reduce the real value of the housing stock and increase the homeownership rate. The paper also contains forecasts of the impact of the Tax Reform Act (TRA) of 1986 upon housing demand and the probability of homeownership for a variety of households.     

Risk Aversion and Tacit Collusion in a Bertrand Duopoly Experiment

Recent research has found significant differences in the ability of subjects tacitly to collude, depending on the nature of the strategic interaction (e.g., Cournot vs. Bertrand or substitutes vs. complements goods). We investigate the relationship between subject-specific risk tolerance and tacit collusion in Bertrand duopoly experiments. We find that less risk-averse subjects price higher than do their more risk-averse counterparts, but this relationship is only significant when actions are strategic substitutes. When we analyze pair-level data, we find that non-risk averse subject pairs price significantly higher than do risk averse and mixed pairs in both the substitutes and complements treatments.     

Do House Price Levels Anticipate Subsequent Price Changes within Metropolitan Areas?

This research examines the relationship between hedonically controlled housing price levels and subsequent changes in those prices across locations within MSAs. Are areas with a high price relative to an “imputed rent” paying for higher appreciation? In an efficient market (e.g., Gordon Growth Model), as fundamentals (impute rent) differ across locations and change over time, anticipation of these should generate a positive correlation between (residual) price levels and subsequent price changes. We undertake these tests in four different MSAs using a panel of repeat‐sale house price indices that have been scaled to price levels with the hedonic attributes of the house and ZIP code. In three markets we find that identical houses in higher priced ZIP codes subsequently appreciate faster. In one market we find that there is little statistical difference.     

House Prices and Inflation

The present paper examines the long-run impact of inflation on homeowner equity by investigating the relationship between house prices and the prices of nonhousing goods and services, rather than return series and inflation rates as in previous empirical studies on the inflation hedging ability of real estate. There are two reasons for this methodological departure from prior practice: (1) while the total return on housing cannot be accurately measured, the total return on housing is fully reflected in housing prices, and (2) given that using returns or differencing a time series leads to a loss of long-run information contained in the series, valuable long-run information can be captured by using prices. Also, unlike previous related studies, we exclude housing costs from goods and services prices to avoid potential bias in estimating how inflation affects housing prices. Monthly data series are collected for existing and for new house prices as well as the consumer price index excluding housing costs for the period 1968–2000. Based on both autoregressive distributed lag (ARDL) models and recursive regressions, the empirical results yield estimated Fisher coefficients that are consistently greater than one over the sample period. Thus, we infer that house prices are a stable inflation hedge in the long run.     

Auction versus Negotiated Sale: Evidence from Real Estate Sales

We offer a theoretical and empirical comparison of auctions and negotiated sales. We first build a simple model to show that auctions generate a higher relative price than negotiated sales when demand for the asset is strong, when the asset is more homogeneous and when the asset attracts buyers with higher valuations. Using data from property sales in Singapore, we find support for our theoretical predictions. In addition, we find that auctions do not necessarily generate a higher price premium for foreclosed properties than for nonforeclosed properties.     

Does Energy Consumption Respond to Price Shocks? Evidence from a Regression‐Discontinuity Design

We exploit unique features of a recently introduced tariff schedule for natural gas in Buenos Aires to estimate the short‐run impact of price shocks on residential energy utilization. The schedule induces a non‐linear and non‐monotonic relationship between households' accumulated consumption and unit prices, thus generating exogenous price variation, which we exploit in a regression‐discontinuity design. We find that a price increase causes a prompt and significant decline in gas consumption. The results also indicate that consumers respond more to recent past bills than to expected prices, which argues against an assumption of perfect awareness of complex price schedules by consumers.     

Distressed comps

We consider the use and impact of distressed properties as comparables in residential appraisals. First, we describe the incidence of their use and their relative comparability; second, we estimate their impact on the appraisal value itself; and third, we consider their impact on the probability that the appraisal is below the proposed transaction price. We find, generally, that distressed comps are largely good matches to their subject properties, which suggests that they are not necessarily used as a last resort. We find that they are not a drag on appraised value because appraisers learn to make the right adjustments over time. The use of distressed comps is associated with a higher probability of a below-price appraisal due to the increased spread of appraisals around the contract price, particularly for higher priced homes. Overall, the use of distressed comps increased the uncertainty in the valuation process, but appraisers learned the appropriate adjustments over time.     

The impact of racial diversity on intermediate and long‐term performance: The moderating role of environmental context

We conduct a firm‐level, 6‐year longitudinal analysis on the impact that racial diversity in human resources has on financial performance. When considering short‐term performance outcomes, we predict a curvilinear relationship between diversity and performance (i.e., firm productivity). Although we find evidence of a U‐shaped relationship between racial diversity and productivity, the relationship is stronger in service‐oriented relative to manufacturing‐oriented industries and in more stable vs. volatile environments. For longer‐term profitability, we propose and find support for more of a positive linear relationship between diversity and performance (i.e., Tobin's q) than a nonlinear one. This linear effect is stronger and more positive in munificent compared to resource‐scare environments. Thus, we aid in reconciling existing, often contradictory, studies by demonstrating the potential short‐term vs. long‐term impact of racial diversity on performance. We offer implications for future research on diversity considering the current and projected demographic landscape. Copyright © 2007 John Wiley & Sons, Ltd.     

Number of sellers,average prices,and price dispersion

A variety of models provide differing predictions regarding the effect of an increase in the number of competitors in a market (seller density) on prices and price dispersion. We review different approaches to generating equilibrium price dispersion and then empirically estimate the relationship between seller density, average product price and price dispersion in the retail gasoline industry using four unique gasoline price data sets. Controlling for station-level characteristics, we find that an increase in station density consistently decreases both price levels and price dispersion across four geographical areas.     

中国再生资源价格长期波动特征及其对经济的影响研究

尽管再生资源在工业生产中替代原生资源的比例逐渐升高,但对再生资源价格波动的特征及对经济的影响尚缺乏研究。本文以再生铜为例,采用GRACH族模型分析发现,我国再生铜价格的波动存在一定集聚性和持续性,价格波动比较缓慢。且负向冲击对再生铜价格波动的影响比正向冲击大,存在显著的杠杆效应。此外,再生铜价波动具有显著的GARCH-M效应,即预期的风险对再生铜价格波动具有正向影响。然后采用VAR模型和脉冲响应函数等方法,引入产出、投资、消费和通货膨胀率变动等宏观经济变量,定量分析了再生资源价格波动与中国经济之间的关系。检验结果表明：再生铜价作为建筑业重要的生产资料,其价格上涨短期内 促使GDP增长,但长期则抑制投资,最终可能影响GDP增长并提高通货膨胀率,即再生铜价格上涨对国家经济发展有不利影响。本文的实证结果揭示出,对中国经济的影响而言,废旧金属价格的变动只是某种表象,经济增长和通货膨胀率变动的背后是更为复杂的原因,问题的实质是以固定投资拉动经济增长的发展模式和部分地区对房地产业过度依赖的产业结构的变化等对中国经济产生的根本性的影响。     

How Workers Fare When Employers Innovate

Complementing existing work on firm organizational structure and productivity, this article examines the impact of organizational change on workers. We find evidence that employers do appear to compensate at least some of their workers for engaging in high-performance workplace practices. We also find a significant association between high-performance workplace practices and increased wage inequality. Finally, we examine the relationship between organizational structure and employment changes and find that some practices, such as self-managed teams, are associated with greater employment reductions, whereas other practices, such as the percentage of workers involved in job rotation, are associated with lower employment reductions.     

Impact of food inflation on poverty in the Philippines

We simulate the impact of food inflation between June 2006 and June 2008 on poverty across different areas and between agricultural and non-agricultural households. We explicitly treat the spatial heterogeneity in food inflation and the differences in consumption and production patterns across households by merging household expenditure survey and price datasets at the provincial level or lower. Although some of the poor agricultural households may have escaped poverty, the poorest of the poor, whether they are in an agricultural household or not, are severely and adversely affected by the food inflation.     

Payment Evasion

This paper shows that a firm can use the purchase price and the fine imposed on detected payment evaders to discriminate between unobservable consumer types. Assuming that consumers self‐select into regular buyers and payment evaders, we show that the firm typically engages in second‐degree price discrimination in which the purchase price exceeds the expected fine. In addition, we find that higher fines do not necessarily reduce payment evasion. We illustrate with data from fare dodging on public transportation.     

Momentum and House Price Growth in the United States: Anatomy of a Bubble

This article analyzes the bubble in property values across cities in the United States from 1999 through 2005. We find evidence of momentum in house price growth (relative to growth in rents) away from the underlying fundamentals throughout the 1980–2005 period; however, momentum increased after 1999. We find that the bubble happened mostly after 2003; it was for a relatively short period and was characterized by a series of positive, seemingly random, shocks that were associated with the surge in the subprime market and the decline in short‐term interest rates. Before that price changes were reasonably well explained by the fundamentals, particularly the decline in long‐term interest rates in the early part of the bubble period. We do not find evidence of a tendency for prices relative to rents to revert to a long‐run trend.     

Listing Price, Time on Market, and Ultimate Selling Price: Causes and Effects of Listing Price Changes

Information about price changes during a home's marketing period is typically missing from data used to investigate the listing price, selling price, and selling time relationship. This paper incorporates price revision information into the study of this relationship. Using a maximum-likelihood probit model, we examine the determinants of list price changes and find evidence consistent with the theory of pricing behavior under demand uncertainty. Homes most likely to undergo list price changes are those with high initial markups and vacant homes, while homes with unusual features are the least likely to experience a price revision. We also explore the impact of missing price change information on estimating a representative model of house price and market time. Our results suggest that mispricing the home in the initial listing is costly to the seller in both time and money. Homes with large percentage changes in list price take longer to sell and ultimately sell at lower prices.     

Real Estate,the External Finance Premium and Business Investment: A Quantitative Dynamic General Equilibrium Analysis

This article studies the connection between the capital market and the real estate market. Empirically, we find that positive real house price shocks lower the external finance premium and stimulate nonresidential investment and real gross domestic product (GDP). Our theoretical framework is able to mimic the volatility of the external finance premium, the relative price of real estate and capital and the investment in real estate and capital. It also captures the cyclicality of the external finance premium and of real estate prices. The contribution of real estate price fluctuations to the variability of the external finance premium and the GDP is confirmed to be significant.     

A Model of Time‐on‐Market and Real Estate Price Under Sequential Search with Recall

This article develops a model and provides a closed‐form formula to uncover the theoretical relationship between real estate price and time on market (TOM). Our model shows a nonlinear positive price‐TOM relationship, and it identifies three economic factors that affect the impact of TOM on sale price. We demonstrate that conventional metrics for real estate return and risk, which are borrowed in a naïve fashion from finance theory, do not account for marketing period risk and tend to overestimate real estate returns and underestimate real estate risks. Our model provides a simple way to correct such bias. This theory helps to explain the apparent “risk‐premium puzzle” in real estate.     

Understanding heterogeneity in price changes and firm responses to a national unhealthy food tax in Mexico

To address the high prevalence of overweight and obesity in Mexico, an eight percent ad valorem excise tax on non-essential energy-dense foods came into effect on 1 January 2014. This paper estimates price changes after the tax implementation among the top four food categories and by leading vs. non-leading firms using purchase information from over 6000 urban households in the 2012–2015 Nielsen Mexico Consumer Panel. We create product-city-month specific prices that correct for potential biases associated with household and retailer characteristics. Using these corrected prices, we conduct before and after quasi-experimental analyses and find that price increases were larger than eight percent for cookies but were less than eight percent for ready-to-eat cereals, salty snacks, and pre-packaged sweet bread. For the latter food group, event-study analyses on the gradual price change over time suggest that price changes might be the result of an increasing price trend rather than the tax implementation. Firm-level analyses mostly show that price increases by the leading firms were larger than the overall increase at the food market level, helping explain variability in post-tax declines in food purchases as reported in other research. We also find that price changes are generally underestimated when we do not correct prices for biases associated with households and retailers. These results improve our understanding of the mechanisms behind heterogeneous changes in purchases after the tax implementation. Additionally, these results can assist policymakers when designing or improving taxes on non-essential energy-dense foods at a time when these policy options are high on the agenda in many places.     

国际油价冲击与中国的经济增长——基于非对称关系视角的分析

本文基于季度数据，引入非对称协整模型，考察国际油价与中国经济增长的动态关系，并鉴于油价波动对不发达经济体可能的冲击，还测度了油价的不确定性并探析其对经济增长的影响，结果表明：（1）从短期来看，国际油价变化是国内经济增长的单向Granger原因，“中国因素”对全球油价变化的影响尚不明显；（2）从长期来看，国际油价和经济增长具有非对称协整关系，油价上涨对经济的影响明显大于油价下跌所产生的效应；（3）国际石油市场存在正反馈交易行为，导致油价波动在油价上涨时表现更加明显。油价不确定性在短期内对经济增长存在负面影响，长期中则不会显著影响经济增长。以上结果意味着必须高度重视石油安全问题，加强油价波动预警与风险管理系统。