The new Keynesian Phillips curve: endogeneity and misspecification

The wrong or insignificant sign of the forcing variable in the new Keynesian Phillips curve estimations may be a result of the endogeneity of the labour share and misspecification of real marginal cost in the baseline model. We address the misspecification of real marginal cost by formulating a broad measure that features the labour share, output gap and supply shock variables. The endogeneity of the labour share is addressed by using an appropriate lag of the labour share in the Phillips curve. Reduced-form evidence from five developed and five emerging market economies support the empirical validity of the NKPC.     

Inflation forecasting using the New Keynesian Phillips Curve with a time-varying trend

Does theory aid inflation forecasting? To address this question, we develop a novel forecasting procedure based upon a New Keynesian Phillips Curve that incorporates time-varying trend inflation, to capture shifts in central bank preferences and monetary policy frameworks. We generate theory-implied predictions for both the trend and cyclical components of inflation, and recombine them to obtain an overall inflation forecast. Using quarterly data for the Euro Area and the United States that cover almost half a century, we compare our inflation forecasting procedure against the most popular time series models. We find that our theory-based forecasts outperform these benchmarks that previous studies found difficult to beat. Our results are shown to be robust to structural breaks, geographic areas, and variants of the econometric specification. Our findings suggest that the scepticism concerning the use of theory in forecasting is unwarranted, and theory should continue to play an important role in policymaking.     

Macro frictions and theoretical identification of the New Keynesian Phillips curve

I discuss theoretical identification of the New Keynesian Phillips curve, and show that it can be identified with limited information techniques when the data generating process is a New Keynesian model with enough macro frictions or persistent shocks. Monte Carlo experiments illustrate the quantitative relevance of the results.     

Inflation dynamics in open economies: Empirical evidence for G7 countries on the role of import prices and the cost channel

The supply side effects of both the nominal interest rate (i.e., the cost channel) and import prices on inflation are very important for the design of monetary policy. However, the empirical identification of the cost channel (traditionally associated with the advance payment of wages) has ignored import prices. We start by deducting a New Keynesian Phillips Curve (NKPC) which shows that ignoring import prices in the estimation of the cost channel may lead to incorrect results. Taking this into account, we study the empirical relevance of the cost channel and import prices using the NKPC for the G7 countries. We test whether the estimation of the cost channel is affected when the price of imported inputs is considered; if it is relevant to extend the cost channel given that imports of final consumption goods are also paid in advance; if imports should be treated as inputs and/or consumption goods, and if there is an immediate or slow exchange rate pass-through. Empirical results indicate that the cost channel is present in imported consumption goods in particular, and import prices play an important role in explaining inflation dynamics.     

Inventories,inflation dynamics and the New Keynesian Phillips curve

We introduce inventories into an otherwise standard New Keynesian model and study the implications for inflation dynamics. Inventory holdings are motivated as a means to generate sales for demand-constrained firms. We derive various representations of the New Keynesian Phillips curve with inventories and show that one of these specifications is observationally equivalent to the standard model with respect to the behavior of inflation when the model's cross-equation restrictions are imposed. However, the driving variable in the New Keynesian Phillips curve – real marginal cost – is unobservable and has to be proxied by, for instance, real unit labor cost. An alternative approach is to impute marginal cost by using the model's optimality conditions. We show that the stock–sales ratio is linked to marginal cost. We also estimate these various specifications of the New Keynesian Phillips curve using GMM. We find that the predictive power of the inventory-specification at best approaches that of the standard model, but does not improve upon it.     

Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach*

ABSTRACT

In this article, the multihorizon predictive power of the Hybrid New Keynesian Phillips Curve (HNKPC) is analysed by making use of several close- and open-economy specifications for the headline inflation of six developed countries. The key element is the use of direct measures of inflation expectations – Consensus Forecast – embedded in a compact-scale Global VAR (GVAR) environment, becoming the baseline open-economy HNKPC (OE-HNKPC) specification. These OE-HNKPC point forecasts are evaluated using the Root Mean Squared Forecast Error (RMSFE) statistic and statistically compared with several benchmarks, including traditional atheoretical models. Several OE-HNKPC as well as a closed-economy HNKPC (CE-HNKPC) specifications are also analysed. The results indicate that in four out of six countries, the CE-HNKPC is the best forecasting model, whereas for the same countries, a parsimonious OE-HNKPC is the second-best alternative, and in most cases, outperforming traditional statistical benchmarks. The RMSFE is obviously affected by the unanticipated effects of the Great Financial Crisis (GFC), spoiling out the performance of a number of competing forecasts. However, when considering an evaluation sample just before the crisis, both the CE-HNKPC and the parsimonious OE-HNKPC still come out as the best forecasting models. Furthermore, these preferred models also do an excellent job tracking inflation better than the best atheoretical models during the GFC.     

The New Keynesian Phillips curve and the role of expectations: Evidence from the CESifo World Economic Survey

We provide evidence on the fit of the hybrid New Keynesian Phillips curve for selected Euro zone countries, the US and the UK. Instead of imposing rational expectations and estimating the Phillips curve by the Generalized Method of Moments, we use direct measures of inflation expectations from the CESifo World Economic Survey. Our main findings are as follows: (i) The use of survey data gives empirical results, which are more reliable than those obtained from the GMM approach. (ii) The purely forward-looking Phillips curve can be rejected in favor of the hybrid New Keynesian Phillips curve. (iii) The estimated coefficients on past inflation are higher when using survey expectations than when using the rational expectations GMM approach. (iv) It remains unclear whether real unit labor costs or a measure of the output gap should be used as a proxy for real marginal costs. (v) Theory-based restrictions lead to an improvement of the empirical results.     

Output,Inflation and the New Keynesian Phillips Curve

Explicit modelling of factor markets clarifies two fundamental aspects of the New Keynesian Phillips Curve (NKPC). First, we clarify the relationship between output and marginal cost. Second, for the NKPC in inflation–output space, we identify the key stochastic influences on inflation without recourse to ad hoc cost or excess demand shocks. The econometric implementation of this clarified NKPC, which evolves strictly according news on the stream of future marginal costs, allows us jointly to derive inflation as a forecast of future variables. Our approach clarifies the empirical successes and failures of the NKPC and allows us to provide new aggregate evidence on the degree of price rigidity in the UK economy.     

Services inflation dynamics and persistence puzzle in Brazil: a time-varying parameter approach

This article analyses services inflation dynamics in Brazil, focusing on the Services Inflation Persistence Puzzle, for monthly data from January 2004 to February 2016. We apply a time-varying parameter (TVP) approach, via a Kalman filter, to estimate hybrid Phillips curves and compare inflation inertia for tradable goods and services inflation. Aggregate Brazilian Extended Consumer Price Index inflation serves as a benchmark. To justify the TVP analysis, parameter instability and structural change tests are implemented, based on OLS and Generalized Method of Moments (GMM) frameworks. The main results are as follows: (i) the TVP approach is relevant due to observed instability in some parameters estimated; (ii) inflation expectation coefficients are higher than lagged inflation in all calculations, but inflation inertia is not negligible at all; (iii) services inflation persistence ranges from 27 to 36%, whereas tradable goods inflation persistence ranges from 36 to 47%, providing evidence of the Services Inflation Persistence Puzzle in Brazil; (iv) from 2009 onwards an increase in one percentage point in real wages raises monthly services inflation rate by 0.02 to 0.03 percentage point; (v) there is evidence that cost-push pressures, due to wage increases in the service sector, are more important to explain services inflation than demand pressures from early 2009 to mid-2014.     

A Phillips curve interpretation of error-correction models of the wage and price dynamics

This paper presents a model of employment, distribution andinflation in which a modern error correction specification ofthe nominal wage and price dynamics (referring to claims onincome by workers and firms) occupies a prominent role. It isbrought out, explicitly, how this rather typical error-correctionsetting, which actually seems to capture the wage and pricedynamics of many large-scale econometric models quite well,is fully compatible with the notion of an old-fashioned Phillipscurve with finite slope. It is shown how the steady-state impactof various shocks to the model can be profitably conceived ofand interpreted in terms of (and to some extent even calculatedby means of) this long-run Phillips curve.     

Product market deregulation and the US employment miracle

We consider the dynamic relationship between product market entry regulation and equilibrium unemployment. The main theoretical contribution is combining a job matching model with monopolistic competition in the goods market and individual bargaining. We calibrate the model to US data and perform a policy experiment to assess whether the decrease in trend unemployment during the 1980s and 1990s could be directly attributed to product market deregulation. Under our baseline calibration, our results suggest that a decrease of less than two-tenths of a percentage point of unemployment rates can be attributed to product market deregulation, a surprisingly small amount.     

Reconsidering bank capital regulation: a new combination of rules,regulators, and market discipline

Despite revisions to bank capital standards, fundamental shortcomings remain: the rules for setting capital requirements need to be simpler, and resolution should be an essential part of the capital requirement framework.We propose a revised system of capital regulation that addresses these needs by making changes to all three pillars of bank regulation: only common equity should be recognized as regulatory capital, and risk weighting of assets should be abandoned; capital requirements should be assigned on an institution-by-institution basis according to a regulatory (s, S) approach developed in the paper; a standard for prompt, corrective action is incorporated into the (s, S) approach.     

The joint dynamics of inflation, unemployment and interest rate in the United States since 1980

In this paper, by using a combination of long-run and short-run restrictions, we identify a small structural VECM which includes inflation, unemployment and the federal funds rate and study the dynamic interactions at different frequencies among these variables. Our results show that: (a) in accordance with the traditional view of economic fluctuations, aggregate demand shocks and monetary policy shocks push inflation and unemployment in opposite directions in the short run; (b) the permanent supply shock explains the long-run movement of inflation and unemployment. These conclusions are at odds with the prediction of “natural-rate” models but are consistent with the idea of a propagation mechanism which links productivity shocks to inflation and unemployment at medium and low frequencies. Thus, with respect to some recent studies (e.g. Beyer and Farmer, ECB Working Paper 121, 2002, and Ireland, J Monet Econ 44:279–291, 1999), we offer a different interpretation of the low-frequency comovements between inflation and unemployment characterizing the US economy in the last decades.

Labor market dynamics in urban China and the role of the state sector

This paper studies the effect of state-owned enterprises (SOEs) on the dynamics of the Chinese urban labor market. Using longitudinally matched monthly panel data, we document very low labor force dynamics in the state sector, which leads to a high long-term unemployment rate. We develop and estimate an equilibrium search and matching model with three differences between the state and non-state sectors: labor productivity, labor adjustment cost, and workers’ bargaining power. Counterfactual analysis shows that, among the three channels, reducing the bargaining power of state sector workers is most effective in reducing unemployment duration and unemployment rate.     

Innovation,product development and market value: evidence from the biotechnology industryinnovation in biotechnology industry

The subject of the paper is financial valuation of firm's knowledge assets and returns to innovation in the biotechnology industry, where such assets appear to play key role in the commercial success of a product. The biotechnology industry is extremely research-intensive, and successful R&D drives profitability. Further, the pharmaceutical product development advances in a number of well-defined stages that allow relatively precise measurement of product development outcomes. The study reports recent biotechnology R&D statistics, and provides estimates of private returns to innovation and product development activity in the biotechnology industry. The conclusions indicate that the financial market recognizes the value of drugs in product development stage, as it expects the innovative knowledge embodied in drug development projects to become marketable products in the future.