implications of market structure for elasticity structure though considerable attention has been given to market structure little research has been done on the relationship between market structure and elasticity structure the authors develop and partia

cross country variation in the liquidity effect the role of financial markets this paper examines cross country variation in the liquidity effect the negative response of interest rates to money supply shocks focusing on the role of financial factors in explaining this variation we estimate the liquidity effect for each of 21 countries using var models in which money supply shocks are restricted to be neutral in the long run then regress the estimated liquidity effect on financial market variables across countries we find that financial factors play an important role in determining the magnitude of the liquidity effect and that this evidence is most consistent with generalised versions of limited participation models

answering the skeptics yes standard volatility models do provide accurate forecasts a voluminous literature has emerged for modeling the temporal dependencies in financial market volatility using arch and stochastic volatility models while most of these studies have documented highly significant in sample parameter estimates and pronounced intertemporal volatility persistence traditional ex post forecast evaluation criteria suggest that the models provide seemingly poor volatility forecasts contrary to this contention we show that volatility models produce strikingly accurate interdaily forecasts for the latent volatility factor that would be of interest in most financial applications new methods for improved ex post interdaily volatility measurements based on high frequency intradaily data are also discussed

retailer pricing strategy and consumer choice under price uncertainty this research examines how consumers choose retailers when they are uncertain about store prices prior to shopping simulating everyday choice participants made successive retailer choices where on each occasion they chose a retailer and only then learned product prices the results of a series of studies demonstrated that participants were more likely to choose a retailer that offered an everyday low pricing strategy edlp or that offered frequent small discounts over a retailer that offered infrequent large discounts this choice advantage for the retailer that was cheaper more often manifested even when its average price was judged to be higher the same results were obtained when choices were made a day apart when price feedback was only given for the chosen retailer and when price feedback was given for both retailers participant s expectations of future prices but not their judgments of retailer s past average prices predicted their subsequent retailer choice

a friction model for describing and forecasting price changes this paper presents a new friction model for describing the price changes of a product or brand over time and for forecasting both the timing and magnitude of such changes from one period to the next after a review of the related pricing literature we present our model and a modified controlled random search procedure for estimating its parameters the model is applied to describe and forecast the weekly mortgage interest rates for a local bank in the philadelphia area finally limitations and several potential applications of this methodology are discussed

equilibrium characteristics of multinomial logit market share models previous research suggests that a multinomial logit model of market share can be used in optimization or equilibrium analyses of marketing decision making however there are significant problems w

competitive maps the structure underlying asymmetric cross elasticities a special case of three mode factor analysis is used to portray the systematic structure underlying asymmetric cross elasticities for a broad class of market share attraction models analysis of the variation over retail outlets and weeks reveals competitive patterns corresponding to sales for the major brands in the market as well as patterns reflecting shelf price competition analysis of the brand domain results in a joint space one set of brand positions portrays how brands exert influence over the competition the other set of points portrays how brands are influenced by others the interset distances angles provide direct measures of competitive pressures maps are formed as spatial representations of each of the competitive patterns discovered

when do long run identifying restrictions give reliable results many recent articles have identified behavioral disturbances in vector autoregressions by imposing restrictions on the long run effects of shocks this article demonstrates that this approach will be unreliable unless the underlying economy satisfies three types of strong restrictions although many aspects of these issues have been raised before this article draws out and illustrates the implications for inferences under the long run scheme furthermore it provides strategies for dealing with the problems

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

practice prize report an assortmentwide decision support system for dynamic pricing and promotion planning in diy retailing the main objective of this report is to describe a decision support system for dynamic retail pricing and promotion planning our weekly demand model incorporates price reference price effects seasonality article availability information features and discounts building on previous research we quantify demand interdependencies and integrate the resulting profit lifting effects into the optimal pricing model the methodology was developed and implemented at baumax an austrian do it yourself retailer along with the practical requirements an objective function was employed that can be used as a vehicle for implementing a retailer s strategy eight pricing rounds with thousands of different stock keeping units have each served as a testing ground for our approach based on various benchmarking methods a positive impact on profit was reported the currently implemented marketing decision support system increased gross profit on average by 8 1 and sales by 2 1

a probabilistic choice model for market segmentation and elasticity structure marketing scholars commonly characterize market structure by studying the patterns of substitution implied by brand switching though the approach is useful it typically ignores the destabilizing

modeling purchase timing and brand switching behavior incorporating explanatory variables and unobserved heterogeneity the authors use a continuous time semi markov approach to analyze in a single framework the purchase timing and brand switching decisions of households for a frequently purchased product the analysis provides more insights into the dynamics of household purchase behavior than could be obtained from conventional discrete choice models such as logit or probit the authors find that the probability distribution of interpurchase times is not the same for various switching between brands revealing extra information about the purchase timing decisions further they find that though the marketing mix and household demographic variables explain a large part of the variation in the brand switching rates they account for only a small part of the variation in the repeat purchase rates another finding from the analysis is that the rates of switching between brands due to promotional activities such as special displays and price reductions are in reverse order to the share of purchases of the various brands

attraction versus linear and multiplicative market share models an empirical evaluation linear and multiplicative market share models are compared with the attraction specification on the basis of both predictive and descriptive measures the data used represent 15 brands in three dif

us domestic currency in forecast error variance decompositions of inflation and output we find that domestic currency currency corrected for foreign holdings has a substantial share in forecast error variance decomposition of us inflation we also find that domestic currency has higher share of the forecast error variance decomposition of us real output than any other narrow monetary aggregate we consider

note extending the rotterdam model to test hierarchical market structures two issues that have implications across a firm s marketing activities are the estimation of the market response functions and the determination of the structure of the market in which its products compete in a recent paper clements and selvanathan clements k w e a selvanathan 1988 the rotterdam demand model and its application to marketing marketing sci 7winter 60 75 describe how the rotterdam demand system can be used to study these two issues in a joint framework in this note we extend their model to test hierarchical market structures using data at the brand form level we also incorporate idiosyncratic response coefficients that capture the effects of advertising and or other nonprice marketing mix variables separate from the effects of a price change these extensions provide additional insights into the nature and extent of competition among brands within a product class

a panel data based method for merging joint space and market response function estimation multidimensional scaling mds techniques have proven to be useful in understanding market structures at a single point in time in addition to examining snapshots of markets it has been suggested that the construction of longitudinal joint spaces in conjunction with econometric modeling techniques would provide useful insights into the dynamic structure of a market however several pragmatic factors related to data collection have limited the amount of research in this area in this paper a method is proposed that enables researchers to use commonly available consumer diary panel data to construct a time series of joint space maps and then to integrate these maps into market response models two illustrations using longitudinal maps demonstrate successful applications of this methodology

monetary policy surprises and interest rates choosing between the inflation revelation and excess sensitivity hypotheses author affiliation willem thorbecke george mason university and senior fellow research institute of economy trade and industry 1 3 1 kasumigaseki chiyoda ku tokyo 100 8901 japan tel 81 3 35018286 e mail wthorbec gmu edu corresponding author hanjiang zhang department of finance mccombs school of business university of texas at austin 1 university station b6000 austin tx 78712 usa e mail hanjiang zhang mccombs utexas edu acknowledgment we thank the co editor kent kimbrough two anonymous referees and seminar participants at the research institute of economy trade and industry for many helpful comments we also thank andrew swiston for generously providing us data on unexpected changes in the federal funds rate target 1 introductionwhy do increases in the federal reserve s fed s target for the federal funds rate raise interest rates on long term treasury securities one might expect that contractionary monetary policy would raise short term rates because of a liquidity effect and reduce long term rates by lowering expected inflation yet cook and hahn 1989 reported that increases in the fed s target for the federal funds rate from september 1974 to september 1979 raised interest rates at all horizons similarly kuttner 2001 found that unanticipated increases in the federal funds rate target over the june 1989 to february 2000 period increased interest rates at all maturities one interpretation of the results of cook and hahn 1989 and kuttner 2001 is that contractionary monetary policy raises longer term real interest rates the nominal interest rate equals the real interest rate plus the expected inflation rate if contractionary monetary policy lowers expected inflation or leaves it unchanged then evidence that it increases the nominal interest rate implies that it must also be increasing the real interest rate romer and romer 2000 provided an alternative explanation for these findings they showed that the fed has substantially more information about future inflation than is available from commercial forecasts their results imply that the optimal strategy for individuals with access to both the fed s forecasts and commercial forecasts would be to rely exclusively on the fed s forecasts they also demonstrated that federal reserve policy actions reveal some of the fed s private information about inflation an increase in the federal funds rate target could thus increase interest rates by raising expectations of future inflation gurkaynak sack and swanson 2005a presented evidence indicating that increases in the federal funds rate target have the opposite effect lowering expected inflation from 1990 2002 they found that unexpected increases in the funds rate target lower the one year forward rate 10 years ahead they also found that real long term forward rates derived from inflation indexed treasury securities do not respond to monetary policy surprises while the compensation for inflation responds with a significant negative coefficient to positive innovations in the federal funds rate target they interpreted these findings to mean that surprise increases in the federal funds rate target lower future expected inflation their conclusion is thus exactly the opposite of romer and romer s 2000 information revelation explanation ellingsen and soderstrom 2001 presented a model that encompasses the models of romer and romer 2000 and gurkaynak sack and swanson 2005a in their model unanticipated changes in the central bank rate can occur because the central bank has private information about the economy or because the central bank changes its preferences for inflation stabilization relative to output stabilization romer and romer focused on the first effect and gurkaynak sack and swanson focused on the second campbell 1995 noted that the effect of funds rate increases on inflation expectations should depend on the fed s credibility in fighting inflation

modeling asymmetric competition the effects of the marketing actions of one brand can be distributed among its competitors market shares in a complex manner this paper presents and illustrates methods for modeling brand competition and brand strategies in markets where competitive effects can be differentially and asymmetrically distributed we discuss the empirical specification parameter estimation and competitive strategy implications of the models proposed price and advertising competition among eleven brands of an australian household product is used to illustrate the application of these procedures

the impact of heterogeneity in purchase timing and price responsiveness on estimates of sticker shock effects the notion that individuals have an internal reference price against which they compare observed prices is well supported by several psychological theories empirically several papers in the marketing literature employing scanner panel data have modeled the impact of reference prices on brand choice via the sticker shock formulation in which consumers evaluate choice alternatives using differences between shelf prices and reference prices most of the studies reported thus far have not accounted for heterogeneity in price response among consumers and have typically imputed reference prices from the shelf prices of brands that a consumer is supposed to have observed on previous purchases in the category since category marketing activity can differentially affect the purchase timing of households we argue that this measure of reference price may follow certain systematic patterns across consumers and when combined with unaccounted for price response heterogeneity may result in a spurious sticker shock effect specifically we show that estimates of sticker shock are biased upward if households that are price sensitive in the brand choice decision are also more responsive to category promotion activity in their purchase timing decision we discuss some general conditions under which the bias occurs and conduct a simulation experiment to confirm our specific hypotheses our simulation results show that changes in purchase timing are a critical determinant of the bias in the sticker shock effect we also show that unaccounted for price response heterogeneity can in itself result in a biased sticker shock parameter however this requires very large differences in price sensitivities across consumers far greater than what is normally observed we develop a hierarchical bayes version of the nested logit model which models heterogeneity via individual level parameters in a continuous random effects framework we estimate the model on scanner panel data from the yogurt and ketchup categories we find in both categories that the 95 probability interval of the posterior distribution of the mean sticker shock coefficient contains the value zero therefore at least for the data used in this study there is no evidence for the sticker shock effect at the aggregate level in contrast the corresponding coefficient from a standard model which ignores this heterogeneity is highly significant and supports the existence of a possibly spurious sticker shock effect consistent with our explanation of the underlying cause of the bias households that are more price sensitive in the choice decision are also found to be more responsive to category promotion activity in their decision to purchase in the category the results highlight the measurement problems associated with imputing reference prices from past prices since the frequency duration and price level of a retailer s promotional program depend on its size and prevalence accurate estimates of the sticker shock effect are essential for formulating optimal promotion strategies an adequate accounting of consumer heterogeneity is critical to this effort

modeling loss aversion and reference dependence effects on brand choice based upon a recently developed multiattribute generalization of prospect theory s value function tversky and kahneman 1991 we argue that consumer choice is influenced by the position of brands relative to multiattribute reference points and that consumers weigh losses from a reference point more than equivalent sized gains loss aversion we sketch implications of this model for understanding brand choice we develop a multinomial logit formulation of a reference dependent choice model calibrating it using scanner data in addition to providing better fit in both estimation and forecast periods than a standard multinomial logit model the model s coefficients demonstrate significant loss aversion as hypothesized we also discuss the implications of a reference dependent view of consumer choice for modeling brand choice demonstrate that loss aversion can account for asymmetric responses to changes in product characteristics and examine other implications for competitive strategy

direct effects of base money on aggregate demand theory and evidence abstract meltzer the transmission process working paper carnegie mellon university 1999a shows that real monetary base growth is a significant determinant of consumption growth in the us controlling for the short term real interest rate in this paper i show that the same property of base money holds for total output relative to trend or potential in both the us and the uk the standard optimizing is lm model cannot account for this result but i show that it can once the long term nominal interest rate is included in the money demand function because the long term real rate matters for aggregate demand the presence of the long term nominal rate in the money demand function increases the effect of nominal money stock changes on real aggregate demand when prices are sticky

sh a r p shelf allocation for retailers profit shelf space is the retailer s scarcest resource space management tools are thus badly needed for that purpose commercial computer packages and optimal allocation models have been developed building on the work of corstjens and doyle we elaborate a general theoretical shelf space allocation model which focuses on the demand interdependencies prevailing across and within product groups rules of thumb are compared to the derived optimal allocation the sh a r p model is introduced as a simplified yet realistic variant and validated against data collected in a dutch supermarket chain subsequently the feasibility of its implementation has been experimented in various belgian chains case studies demonstrate the profit potential of sh a r p

variety seeking through brand switching a concept of variety seeking behavior is modeled as a stochastic brand choice model the model yields a measure of variety seeking for each individual consumer panel data for 28 products are analyzed for each household and the possibility of market segmentation by variety seeking behavior is explored

the persistence of marketing effects on sales are marketing efforts able to affect long term trends in sales or other performance measures answering this question is essential for the creation of marketing strategies that deliver a sustainable competitive advantage this paper introduces persistence modeling to derive long term marketing effectiveness from time series observations on sales and marketing expenditures first we use unit root tests to determine whether sales are stable or evolving trending over time if they are evolving we examine how strong this evolution is univariate persistence and to what extent it can be related to marketing activity multivariate persistence an empirical example on sales and media spending for a chain of home improvement stores reveals that some but not all advertising has strong trend setting effects on sales we argue that traditional modeling approaches would not pick up these effects and therefore seriously underestimate the long term effectiveness of advertising the paper concludes with an agenda for future empirical research on long run marketing effectiveness

the effects of monetary policy shocks comparing contemporaneous versus long run identifying restrictions this study compares the effects of monetary policy shocks on the macroeconomy using four different procedures for identifying policy shocks that use contemporaneous restrictions and a procedure that uses long run restrictions impulse response functions are computed using the same vector autoregressive var model and sample period the comparison is done for a model that includes only a short term interest rate and for a model that adds a long term rate as well sources of differences in the magnitude of effects across identification schemes are examined vector autoregressive var models have been widely used in recent years to analyze the effects of monetary policy shocks however estimates of the macroeconomic effects of monetary policy often differ across studies with regard to both timing and magnitude the studies generating these estimates frequently differ in terms of the variables constituting the model the sample period for estimation and the method of identifying policy shocks see e g christiano eichenbaum and evans 1994 1996 1998 gordon and leeper 1994 lastrapes and selgin 1995 pagan and robertson 1995 1998 leeper sims and zha 1996 certainly a critical element in the estimation of the effects of policy shocks is the identification of these policy shocks that is the determination of exogenous shocks to monetary policy two methods have been widely used in the var literature to identify structural shocks to monetary policy one general approach employs restrictions on the contemporaneous relations among the variables of the var model while the second general approach imposes restrictions on the long run relations among the variables although economic and institutional arguments can be used to rationalize each identification scheme there is no consensus as to which approach to identifying shocks is preferred and the weaknesses of both approaches have been discussed in the literature keating 1992 lastrapes and selgin 1995 and mccarthy 1995 consider limitations of the use of contemporaneous identifying restrictions faust and leeper 1997 discuss potential drawbacks of imposing long run restrictions the aim of this study is to examine the implications of contemporaneous versus long run

technical note aggregating individual purchases to the household level household level panel data are the input for many types of marketing studies an interesting but until now unaddressed question is what is the effect of aggregating individual members purchases to the household level under standard assumptions the answer is unambiguous the household brand switching pattern looks more zero order than the typical individual family member s behavior when the standard assumptions are relaxed the overall spirit of the results do not change these conclusions give comfort to those who use brand switching data to partition product categories those looking for variety seeking behavior from household data are given some cause for concern as well as reasons for reinterpreting previous studies

specifying price judgments with range frequency theory in models of brand choice abstract to construct a price judgment consumers compare a focal price with one or more reference prices however reference price operationalizations in the brand choice literature use single point summary measures that cannot account for several distributional effects to account for effects beyond the first moment of the reference price distribution the authors specify price judgments in models of brand choice in accordance with range frequency theory the findings indicate that range frequency price judgments provide a more complete specification of reference price effects and become more important with an increase in the second and third moments of a reference price distribution the data also indicate that range effects are stronger for coupon users and frequency effects are stronger for consumers exposed to a trend of prices the results have several implications for choice modeling pricing theory and pricing strategy

choice map inferring a product market map from panel data this paper describes choice map a model that infers a product market map from panel data choice map is a stochastic brand choice model a random utility quantal choice model and a multidimensional scaling procedure choice map combines the parsimony of stochastic choice models the rationale of random utility models and the ability of multidimensional scaling procedures to simultaneously infer both brand positions and consumer preferences from preference choice data choice map assumes that consumers have stationary purchase probabilities for the observational period which makes the model best suited to frequently bought mature product categories neither experimental nor survey data are required traditional mapping methods that scale such data may not yield the same structure for low involvement products as will a procedure like choice map that scales behavioral data choice map s descriptive and predictive validity exceeds that of an alternative stochastic brand choice model the dirichlet multinomial for a test data set

a unified approach to identifying estimating and testing demand structures with aggregate scanner data a one to one map between a specific demand structure and a restricted cross elasticity matrix is developed and tested using a random utility model the resulting demand structure can be used to evaluate a firm s ability to differentiate its products and can help determine if demand is characterized by factors that are easy to change similar brands are assumed to share common attributes that are stochastically evaluated by the consumer resulting in a random utility model with correlated errors the map results in more precise cross elasticity estimates and can be used to both identify and test possible structures

historical decomposition of aggregate demand and supply shocks in a small macro model we estimate and analyze the impact of multiple aggregate demand and aggregate supply shocks in a small macroeconomic model of the economy the analysis serves two purposes first we assess the relative importance of the various shocks in explaining the path of output over the past three decades second we conduct counterfactual policy experiments which show the effects of alternative policies on key macro variables we find that using the monetary policy tool reserves or the base such that constant money growth occurs would have produced superior economic results fluctuations in macroeconomic activity are generally explained in terms of shocks to aggregate demand and supply many theoretical models suggest a role for both types of shocks demand shocks including but not limited to policy innovations are typically thought to have real effects in the short to medium run but not in the long run supply shocks including resource and technology shocks have effects in both the short and long runs most empirical studies find important effects of both aggregate demand and supply shocks although demand and supply shocks are important conceptually in applied work the nature of the identified shocks has differed some studies identify only one generic shock to aggregate

a competitive dynamic pricing model when demand is interdependent over time abstract in this study we contribute to the dynamic pricing literature by developing a finite horizon model for two firms offering substitutable and nonperishable products with different quality levels customers can purchase and store the products even if they do not need them at the time in order to use them in future the stockpile of the products generated by customers affects the demand in future periods therefore the demand for each product not only is a function of prices and quality levels but also of the products stockpile levels in addition the stockpile levels change the customers consumption behavior more product in a stockpile leads to more consumption therefore we address not only the price and demand relationship but also the stockpiling and consumption relationship in a competitive environment the decision variable of each firm at the beginning of each period is its unit sale price we use a deterministic dynamic program to calculate the equilibrium prices at the beginning of each period by assuming that the market stockpile is public information we show the existence of a unique nash equilibrium we next consider the case when the firms do not know the market stockpile we then develop appropriate heuristics to calculate the optimal prices in each case a numerical study is also provided to calculate the price levels in different scenarios and compare their performances

an investigation into the order of the brand choice process this paper investigates the order of the brand choice process at the individual family level using a variety of tests t likelihood ratio binomial runs and multinomial runs tests the test of stationarity developed permits separate analyses for stationary and nonstationary purchase sequences our analyses indicate that the purchase sequences of a majority of stationary consumers are consistent with the zero order assumption this result is observed for all the nine frequently bought packaged goods studied with the use of panel data and for a product category soft drinks using experimental data

investigating household purchase timing decisions a conditional hazard function approach the purchase timing decision is an important component of the dynamics of a household s purchase behavior this decision is influenced by marketing and other variables and the modeling of this dependence has recently received attention in the literature in this paper we build on previous studies and develop a comprehensive stochastic model that incorporates the major factors influencing interpurchase times specifically we use a generalized version of cox s proportional hazard model to test among competing probability distributions for the interpurchase times while incorporating effects due to marketing variables observed household characteristics and unobserved heterogeneity across households the empirical finding from analyzing the iri coffee data suggests that the interpurchase times cannot be adequately described by probability distributions such as exponential erlang 2 or weibull the effects of unobserved heterogeneity are significant and they impact the estimates of the effects of the covariates we also find that a nonparametric procedure for estimating the effects of unobserved heterogeneity provides the best overall fit to the data and yields covariate estimates that are more consistent with prior expectations our model is validated by replicating the substantive empirical findings on an additional product category

price induced patterns of competition this research focuses on how price changes influence the observed pattern of brand competition the paper begins with a basic utility model formulation and examines the implications of three major classes of preference distributions on the expected patterns of competition a price tier model is proposed to operationalize the theory and to allow predictive testing the price tier model is estimated on 28 brands across four product categories the results show a specific asymmetric pattern of price competition higher price higher quality brands steal share from other brands in the same price quality tier as well as from brands in the tier below however lower price lower quality brands take sales from their own tier and the tier below brands but do not steal significant share from the tiers above the results are consistent with a bimodal preference distribution with the regular price indifference point being located toward the lower quality end of the preference distribution for the categories analyzed

the bright side of loss aversion in dynamic and competitive markets a well established phenomenon of consumer buying behavior is that consumers evaluate prices relative to a reference point and exhibit loss aversion i e their propensity to buy is more negatively affected by prices above the reference point than it is positively affected by prices below the reference point the objective of this paper is to analytically examine how the competitive strategy and profitability of firms are affected by the presence of consumer loss aversion in the price dimension although we assume that consumer loss aversion increases consumer propensity to search for lower prices we find that it does not necessarily lead to lower prices or profits when firms compete over multiple periods and when the consumer reference price in subsequent periods is affected by current prices specifically consumer loss aversion could lead to higher prices and profits when consumer valuation is sufficiently high relative to search costs and the proportion of consumers with positive search costs is in an intermediate range we also show that when forward looking firms incorporate the negative effect of price promotions on future profits the equilibrium range of price promotions may actually increase

the relationship between market characteristics and promotional price elasticities many empirical studies in marketing and economics have estimated brand price elasticities for specific products in markets their results indicate that price elasticities seem to differ across brands product categories retail outlets and regions however there has been very little research which examines the factors associated with these observed differences this paper focuses on the promotional price elasticities of established major brands in stable categories it identifies some characteristics of markets which may be associated with differences in price elasticities for frequently purchased nondurables a cross sectional model of the effect of these market characteristics on price elasticities is developed and estimated utilizing own price elasticity estimates for brands at twelve stores the results indicate market characteristics such as brand market share couponing activity display activity and feature activity explain a substantial amount of the variation in promotional price elasticities

can monetary policy influence long term interest rates it depends i introduction a stated goal of u s monetary policy is to maintain full employment in the u s economy 1 to do so however means the federal reserve must be capable of stabilizing aggregate demand particularly the historically volatile category of investment spending as this form of spending is highly sensitive to long term interest rates one implication of the full employment goal for u s monetary policy is that the federal reserve should be able to influence long term interest rates an important question then is whether u s monetary policy actually has any meaningful influence over long term interest rates a number of studies in recent years have examined this question but have come to different conclusions some studies show monetary policy has a sizeable and statistically significant effect on long term interest rates whereas others show the opposite the uncertainty created by this lack of consensus makes it difficult for the federal reserve to determine its impact on long term interest rates it is our objective in this paper to shed new empirical light on this murky relationship between monetary policy and long term interest rates we do so by looking at monetary policy innovations to the monetary base in an estimated vector autoregression var to see how monetary policy shocks impact the entire term structure of u s treasury interest rates 2 other studies that have used vars to examine this relationship have relied on innovations to the federal funds rate as their measure of monetary policy shocks berument and froyen 2006 berument and froyen 2009 edelberg and marshall 1996 evans and marshall 1998 this approach has become problematic as the federal funds rate has grown to be more predictable in recent times and thus less capable of generating monetary policy surprises in estimated vars our approach does not have this problem our study also has richer results than found in previous studies because we identify shocks to the money multiplier and real money demand in addition to the policy shock to the monetary base this allows us to examine the effect of all three monetary shocks on long term interest rates a final improvement that our study brings to this literature is that it uses long run identifying restrictions previous studies rely on short run contemporaneous restrictions that constrain the short run dynamics of the var our long run restrictions avoid this issue while at the same time imposing long run monetary neutrality on the monetary shocks for these reasons our study provides a fresh take on the relationship between monetary policy and long term interest rates using this approach we find that contrary to what the previous var studies show the federal reserve can meaningfully influence the entire term structure of interest rates we also find however that federal reserve can do so only if it maintains its inflation fighting credibility the rest of the paper proceeds as follows first we review previous findings on this issue and use them to help motivate our study second we outline the empirical methods we use to estimate the relationship between monetary policy shocks and long term interest rates third we discuss our data and construction of endogenous variables fourth we report our findings and examine how the results change over sub periods fifth the robustness of our findings are checked by examining how important the faust and leeper 1997 critique is to our identification strategy finally we conclude by discussing the implications for monetary policy ii previous findings motivating this study over the past decade there has been a spate of studies on the relationship between monetary policy and long term interest rates the methods and findings from this empirical research can be grouped into two categories on one hand there have been a number of studies using single equation models with daily data that find unanticipated changes in the federal funds rate can have a statistically significant and sizeable effect on long term interest rates beechey 2007 berument and froyen 2009 cochrane and piazzesi 2002 ellingsten and soderstrom 2003 ellingsen soderstrom and masseng 2004 gurkaynak sack and swanson 2005 kuttner 2001 poole et al

an empirical comparison of the validity of a neural net based multinomial logit choice model to alternative model specifications applications of choice models to brand purchase data as a rule specify a linear deterministic utility function we estimate deterministic utility by means of a neural net able to approximate any continuous multivariate function and its derivatives to a desired level of precision we compare this model to related alternatives both with linear and nonlinear utility functions alternatives with nonlinear utility functions are based on generalized additive modeling and taylor series expansion respectively we analyze purchase data of the six largest brands in terms of market share for two product groups neural choice models outperform the alternative models studied w r t posterior probabilities they also attain the best crossvalidated log likelihood values these results demonstrate that the increase in complexity caused by the neural choice model is justified by higher validity in the empirical study the neural choice models imply elasticities different from those obtained by linear utility multinomial logit models for several predictors neural choice models discover inversely s shaped saturation and interaction effects on utility

consumer uncertainty and purchase decision reversals theory and evidence this research examines how prepurchase information that reduces consumer uncertainty about a product or service can affect consumer decisions to reverse an initial product purchase or service enrollment decision one belief commonly held by retailers is that provision of greater amounts of information before the purchase reduces decision reversals we provide theory and evidence showing conditions under which uncertainty reducing information provided before the purchase decision can actually increase the number of decision reversals predictions generated from an analytical model of consumer behavior incorporating behavioral theory of reference dependence are complemented by empirical evidence from both a controlled behavioral experiment and econometric analysis of archival data combined the theory and evidence suggest that managers should be aware that their information provision decisions taken to reduce decision reversals may actually increase them data as supplemental material are available at http dx doi org 10 1287 mksc 2015 0906

the response of asset prices to monetary policy shocks stronger than thought standard macroeconomic theory predicts rapid responses of asset prices to monetary policy shocks small scale vector autoregressions vars however often find sluggish and insignificant impact effects using the same high frequency instrument to identify monetary policy shocks we show that a large scale dynamic factor model finds overall stronger and quicker asset price reactions compared to a benchmark var both on euro area and us data our results suggest that incorporating a sufficiently large information set is crucial to estimate monetary policy effects

a retail store sku promotions optimization model for category multi period profit maximization consumer promotions are an important element of competitive dynamics in retail markets and make a significant difference in the retailer s profits but no study has so far included all the elements that are required to meet retail business objectives we extend the existing literatures by considering all the basic requirements for a promotional decision support system dss reliance on operational store level data only the ability to predict sales as a function of prices and the inclusion of other promotional variables affecting the category the new model delivers an optimizing promotional schedule at stock keeping unit sku level which maximizes multi period category level profit under the constraints of business rules typically applied in practice we first develop a high dimensional distributed lag demand model which integrates both cross sku competitive promotion information and cross period promotional influences we estimate the model by proposing a two stage sign constrained regularization approach to ensure realistic promotional parameters based on the demand model we then build a nonlinear integer programming model to maximize the retailer s category profits over a planning horizon under constraints that model important business rules the output of the model provides optimized prices display and feature advertising planning together with sales and profit forecasts empirical tests over a number of stores and categories using supermarket data suggest that our model generates accurate sales forecasts and increases category profits by approximately 17 and that including cross item and cross period effects is also valuable

modeling multiple sources of heterogeneity in multinomial logit models methodological and managerial issues we offer a framework to specify and estimate various sources of heterogeneity in multinomial logit brand choice models we let each brand specific intercept and each parameter of the explanatory variable vector vary randomly across households in addition we distinguish loyal households from the rest our results suggest that incorporating multiple sources of heterogeneity improves the model fit and suggests higher impact of marketing mix elements on brand choice we highlight the importance of incorporating multiple sources of heterogeneity the model we implement yields valuable managerial insights

on the prediction power of market share attraction models logical consistency of market share models has received considerable attention in the recent marketing literature the reports suggest that at least theoretically attraction type specifications a

an empirical analysis of the relationship between brand loyalty and consumer price elasticity this empirical paper explores the relationship between consumer brand preference or loyalty and price elasticity in purchase behavior this behavior is conceptualized as resulting from two distinct but related decisions namely a brand choice decision and a purchase quantity decision we argue that loyal consumers will be less price sensitive in the choice decision than nonloyal consumers however this direction is expected to be reversed in the quantity decision with loyal consumers expected to be more price sensitive than nonloyal consumers we model the choice and quantity decisions jointly using the limited dependent variable framework described in krishnamurthi and raj the data used are diary panel data on a frequently purchased product class from burke and caffeinated ground coffee scanner data from iri we show that loyals are less price sensitive than nonloyals in the choice decision but more price sensitive in the quantity decision managerial implications of the differing elasticities are disc

how well does the is lm model fit postwar u s data postwar u s time series for money interest rates prices and gnp are characterized by a multivariate process driven by four exogenous disturbances those disturbances are identified so that they can be interpreted as the four main sources of fluctuations found in the is lm phillips curve model money supply money demand is and aggregate supply shocks the dynamic properties of the estimated model are analyzed and shown to match most of the stylized predictions of the model the estimated decomposition is also used to measure the relative importance of each shock to interpret some macroeconomic episodes and to study sources of permanent shocks to nominal variables

what starts inflation evidence from the oecd countries we use a pooled cross country time series framework to study the factors associated with the start of 73 inflation episodes in oecd countries since 1960 we find that policy makers pursuit of high real growthtargets and national elections were important factors in initiating inflation episodes u s inflation turns out to be a triggering event for simultaneous outbreaks of inflation across countries several other explanations for inflation starts including increases in the natural rate of unemployment oil price shocks changes in the political orientation of governments and government debt policy are not supported by the data

why is it so difficult to uncover the risk return tradeoff in stock returns abstract the low power of the standard wald test in a garch in mean model with an unnecessary intercept is shown to explain the apparent absence of a risk return tradeoff in stocks the importance of this finding is illustrated with monthly u s data

self fulfilling expectations and the inflation of the 1970s evidence from the livingston survey abstract using survey data on expectations we examine whether the response of monetary policy to sudden movements in expected inflation contributed to the persistent high inflation of the 1970s the evidence suggests that prior to 1979 the fed accommodated temporary shocks to expected inflation which then led to persistent increases in actual inflation we do not find this behavior in the post 1979 data among commonly cited factors oil and fiscal shocks do not appear to have triggered an increase in expected inflation that eventually resulted in higher actual inflation

monetary policy surprises and interest rates evidence from the fed funds futures market abstract this paper estimates the impact of monetary policy actions on bill note and bond yields using data from the futures market for federal funds to separate changes in the target funds rate into anticipated and unanticipated components interest rates response to anticipated target rate changes is small while their response to unanticipated changes is large and highly significant these responses are generally consistent with the expectations hypothesis of the term structure surprise target rate changes have little effect on expectations of future actions however which helps to explain the lack of empirical support for the expectations hypothesis at the short end of the yield curve

predicting competitive response to a major policy change combining game theoretic and empirical analyses this research uses procter gamble s value pricing initiative as a context for testing whether actual competitor and retailer response to a major policy change can be predicted using a game theoretic model we first estimate demand functions for p g and competitor brands from the period before value pricing was initiated we then formulate a dynamic manufacturer retailer stackelberg model that includes p g a national brand competitor and a retailer the model takes p g s move as given and prescribes the price and promotion response of the competitors and the retailer we substitute the estimated demand parameters into the model to obtain prescriptions for each competitor and the retailer and see whether these prescriptions are related to the actual response we find that the dynamic game theoretic model calibrated with empirical estimates of demand parameters has significant predictive power we also test the predictive power of two benchmark models the first is based on the reaction function approach of leeflang and wittink leeflang peter s h wittink dick r 1992 diagnosing competitive reactions using aggregated scanner data internat j res marketing9 39 57 and the second is a simplification of our dynamic model where the retailer is not strategic the dynamic game theoretic model performs better than either benchmark

anticipations of monetary policy in financial markets in recent years financial markets appear better able to anticipate federal open market committee fomc policy changes beginning in the late 1980s and early 1990s longer term interest rates and futures rates have tended to incorporate movements in the federal funds rate several months in advance in contrast to the largely contemporaneous response typically observed before that time after identifying these emerging trends the paper parses the enhanced predictability into a component that can be attributed to the autoregressive behavior of the funds rate and a nonautoregressive component the paper considers institutional developments in fomc policy making that may have contributed to each of these components including gradualism in adjusting the federal funds rate target and transparency regarding the setting of the target and future policy intentions

has monetary policy become more effective we investigate the implications of changes in the structure of the u s economy for monetary policy effectiveness estimating a vector autoregression over the pre and post 1980 periods we provide evidence of a reduced effect of monetary policy shocks in the latter period we estimate a structural model that replicates well the economy s response in both periods and perform counterfactual experiments to determine the source of the change in the monetary transmission mechanism and in the economy s volatility we find that by responding more strongly to inflation expectations monetary policy has stabilized the economy more effectively in the post 1980 period

the fed and interest rates a high frequency identification we measure monetary policy shocks as changes in the fed funds target rate that surprise bond markets in daily data these shock series avoid the omitted variable time varying parameter and orthogonalization problem of monthly vars and do not impose the expectations hypothesis we find surprisingly large and persistent responses of bond yields to these shocks 10 year rates rise as much as 8 10 of a percent to a one percent target shock the usual view that monetary policy only temporarily raises long term rates and influences inflation would lead one to predict a negative long rate response this abstract was borrowed from another version of this item

an alternative explanation for lower repeat rates after promotion purchases several authors have observed that average repeat rates are lower after a promotion purchase one interpretation of this result is that a media coupon or cents off promotion undermines the consumer

a high tech product market share model with customer expectations in a product category based on dynamic technology new products enter the market in rapid succession and the competitive situation changes almost daily because technological features of available products tend to improve while prices tend to decline customers develop expectations that may influence their purchase decisions we model the impact of customer expectations regarding price and technology on product market share in the personal computer industry finding significant nonlinear effects of both these effects are observed when actual product price and or technology differ from expectations by a threshold amount our results suggest implementable implications for high tech product managers in particular price and technology should meet but not exceed customer expectations this does not mean that managers should strive for mediocrity rather continuous improvement should be implemented so that product development efforts lead customer expectations

reference effects of price and promotion on brand choice behavior when consumers are exposed to pricing and promotional activity by frequently purchased packaged goods they may develop expectations that are used as points of reference in evaluating future activi

chapter 6 market share models publisher summary this chapter describes that three basic principles motivate the specification of the market share models market share models should be competitive descriptive as well as predictive and profit oriented being fundamentally competitive implies that one cannot know the effect or effectiveness of a marketing action without accounting for the actions of competitors market share models are models for understanding how the marketing efforts of every brand impact the results in a competitive marketplace only by describing the influence of each marketing instrument can one gain a basis for marketing planning prediction alone is not enough time series models that forecast the future from the past sales provide no insight into how sales are generated the emphasis on being descriptive also embraces the need to understand the areas in which consumer choice probabilities are synonymous with market shares as well part of the goal of description transcends what can be done by market share models alone managers need to understand that their efforts have potentially competitive effects and potentially market expansive effects in sales response models these effects are comingled but by combining descriptive market share models for the competitive effects with descriptive category volume models for the market expansive effects managers obtain a much richer understanding of the market the profit oriented goal of market share analysis urges us to ask how the firm s allocations of resources to aspects of the marketing mix produce bottom line results

the influence of prior beliefs frequency cues and magnitude cues on consumers perceptions of comparative price data a widespread practice in grocery store advertising is to compare the advertised store s prices to a competitor s prices on multiple items an important but largely unexplored issue is how this information is processed and used in conjunction with prior beliefs to influence price perceptions in our initial studies we manipulated prior beliefs and two data based cues frequency of price advantage and magnitude of price advantage to determine their relative influence on consumer price perceptions results indicate that prior beliefs affected price perceptions but that the frequency cue exerted a dominating influence several follow up studies demonstrate the robustness of this phenomenon across a variety of presentational and instructional conditions

inflation and the distribution of relative prices the role of productivity and money supply shocks this paper examines the role of aggregate productivity and money supply shocks in determining the relationship between inflation and the distribution of relative commodity prices i estimate a restricted var that includes aggregate variables and individual commodity prices and compute the cross sectional distribution of the dynamic responses of commodity prices to these aggregate shocks the findings indicate that both shocks lead to positive correlation between inflation and the dispersion of relative prices and that the response of prices across commodities is not uniform even in the long run

on the predictive power of market share attraction models the authors test naert and weverbergh s empirical finding that attraction type specifications are characterized by a predictive power greater than that of their nonrobust counterparts the empirica

truth in concentration in the land of 80 20 laws among the more prominent truisms in marketing are 80 20 type laws e g 20 percent of the customers account for 80 percent of the purchases these kinds of statistics indicate a certain degree of concentration in customer purchases i e the extent to which a large portion of the product s total purchases are made by a small fraction of all customers such concentration levels suggesting that markets can be segmented in various ways are often reported in basic marketing texts we show that a meaningful interpretation of these concentration statistics is not nearly as easy or immediate as it is to compute them the key factors influencing the degree of apparent concentration in purchases are reviewed and we present a modeling approach for estimating the true level of relevant concentration among customers

investigating the intertemporal risk return relation in international stock markets with the component garch model abstract daily data and component garch cgarch models strongly support a positive risk return relation in contrast to previous international results long run volatility appears to be important in determining the conditional equity premium but the evidence might be spurious

hysteresis price acceptance and reference prices the existence of price thresholds in grocery retailing is well documented most authors explain the existence of price thresholds using assimilation contrast theory adaptation level theory or prospect theory however each of these theories is untenable if consumers are believed to behave rationally we offer a theoretical explanation grounded in real options theory rot and economic hysteresis we test the rot hypothesis against three plausible alternatives using a maximum likelihood friction model that we augment for unobserved heterogeneity our findings support the rot hypothesis and suggest that the existence of price thresholds in aggregate data are driven by a common recognition of real option values which do not disappear with the inclusion of consumer heterogeneity

a model of balanced choice behavior in some product categories consumers appear to alternate among items in a consistent and purposeful though not entirely deterministic fashion such alternation occurs even in the absence of any apparent external influences on choice to explain such balanced choice behavior we present a model based upon the premise that past consumption influences the utility of items on subsequent choice occasions individuals may seek variety on certain product attributes and exhibit loyalty toward others the model specification yields a logit choice model which may be calibrated using consumption diary panel data at the individual or cross sectional level

brand loyalty and market equilibrium two concepts of brand loyalty are defined inertial brand loyalty resulting from time lags in awareness and cost based brand loyalty resulting from intertemporal utility effects their market level implications are formally derived in a continuous time model it is found that inertial brand loyalty leads to equilibria with price dispersion while cost based brand loyalty also may allow single price equilibria in all cases as brand loyalty vanishes so does the difference between the average trading price and the price which obtains with no brand loyalty consistent with empirical results the theory predicts that the relationship between market share and performance is positive in cross sectional studies but flat in time series studies the theory is also consistent with the view that market share is an asset in itself after developing the theory several strategic implications are drawn in the end some questions for further theoretical and empirical research are raised

understanding reference price shoppers a within and cross category analysis abstract the authors attempt to draw profiles of reference price shoppers specifically the authors study how selected factors that affect brand choice are correlated with consumer sensitivity to gains and losses with respect to internal reference prices they also study the interaction between sociodemographics and gain and loss sensitivity furthermore the authors analyze cross category correlations in gain and loss sensitivity to shed light on their individual and category specific characters in three categories the results show significant heterogeneity in loss sensitivity among consumers and indicate that loss sensitivity is greater and more heterogeneous than gain sensitivity across categories the results show that loss sensitive shoppers are less influenced by past brand use and that both loss and gain sensitive shoppers more sensitive to price display and feature than the average consumer loss sensitive households tend to be larger and their heads are less likely to be fully employed

stock returns and volatility most asset pricing models postulate a positive relationship between a stock portfolio s expected returns and risk which is often modeled by the variance of the asset price this paper uses garch in mean models to examine the relationship between mean returns on a stock portfolio and its conditional variance or standard deviation after estimating a variety of models from daily and monthly portfolio return data we conclude that any relationship between mean returns and own variance or standard deviation is weak the results suggest that investors consider some other risk measure to be more important than the variance of portfolio returns

a structural equations analysis of the impact of price promotions on store performance guided by past research conventional wisdom in the retailing area and microeconomic theory the authors develop a series of hypotheses about the effects of loss leaders in store price specials