A Response to Cogley and Sbordone's Comment on "Closed-Form Estimates of the New Keynesian Phillips Curve with Time-Varying Trend Inflation"

In their 2010 comment (which we refer to as CS10), Cogley and Sbordone argue that: (i) our estimates are not entirely closed form, and hence are arbitrary; (ii) we cannot guarantee that our estimates are valid, while their estimates (Cogley and Sbordone 2008, henceforth CS08) always are; and (iii) the estimates in CS08, in terms of goodness of fit, are just as good as other, much different estimates in our paper. We show in this reply that the exact closed-form estimates are virtually the same as the "quasi" closed-form estimates. Our estimates are consistent with the implicit assumptions underlying the first-stage VAR used to form expectations, while the estimates in CS08 are not. As a result, the estimates in CS08 point towards model misspecification. We also rebut the goodness of fit comparisons in CS10, and provide a more credible exercise that illustrates that our estimates outperform CS08's estimates.closed form; model-consistent expectations; New Keynesian Phillips curve; forward-looking Euler equation; time-varying trend inflation

Estimation of Forward-Looking Relationships in Closed Form: An Application to the New Keynesian Phillips Curve

We illustrate the importance of placing model-consistent restrictions on expectations in the estimation of forward-looking Euler equations. In two-stage limited-information settings where first-stage estimates are used to proxy for expectations, parameter estimates can differ substantially, depending on whether these restrictions are imposed or not. This is shown in an application to the New Keynesian Phillips Curve (NKPC), first in a Monte Carlo exercise, and then on actual data. The closed-form (CF) estimates require by construction that expectations of inflation be model-consistent at all points in time, while the difference-equation (DE) estimates impose no model discipline on expectations. Between those two polar extremes there is a wide range of alternative DE specifications, based on the same dynamic relationship, that explicitly impose model restrictions on expectations for a finite number of periods. In our application, these last estimates quickly converge to the CF estimates, and illustrate that the DE estimates in Cogley and Sbordone (2008) are not robust to imposing modest model requirements on expectations. In particular, our estimates show that the NKPC is not purely forward-looking, and thus that time-varying trend inflation is insufficient to explain inflation persistence.closed form; model-consistent expectations; New Keynesian Phillips curve; forward- looking Euler equation; time-varying trend inflation

A Response to Cogley and Sbordone’s Comment on "Closed-Form Estimates of the New Keynesian Phillips Curve with Time-Varying Trend Inflation"

In their 2010 comment (which we refer to as CS10), Cogley and Sbordone argue that: (i) our estimates are not entirely closed form, and hence are arbitrary; (ii) we cannot guarantee that our estimates are valid, while their estimates (Cogley and Sbordone 2008, henceforth CS08) always are; and (iii) the estimates in CS08, in terms of goodness of fit, are just as good as other, much different estimates in our paper. We show in this reply that the exact closed-form estimates are virtually the same as the "quasi" closed-form estimates. Our estimates are consistent with the implicit assumptions underlying the first-stage VAR used to form expectations, while the estimates in CS08 are not. As a result, the estimates in CS08 point towards model misspecification. We also rebut the goodness of fit comparisons in CS10, and provide a more credible exercise that illustrates that our estimates outperform CS08's estimates

Closed-form estimates of the New Keynesian Phillips Curve with time-varying trend inflation

We compare estimates of the New Keynesian Phillips Curve (NKPC) when the curve is specified in two different ways. In the standard difference equation (DE) form, current inflation is a function of past inflation, expected future inflation, and real marginal costs. The alternative closed form (CF) specification explicitly solves the DE form to express inflation as a function of past inflation and a present-discounted value of current and expected future marginal costs. The CF specification places model-consistent constraints on expected future inflation that are not imposed in the DE form. In a Monte Carlo exercise, we show that estimating the CF version of the NKPC gives estimates that are much more efficient than the estimates obtained from the DE specification. We then compare DE and CF estimates of the NKPC with time-varying trend inflation on actual data. The data and estimation methodology are the same as in Cogley and Sbordone (2008). We show that DE and CF estimates differ substantially and have very different implications for inflation dynamics. As in Cogley and Sbordone, it is possible to estimate DE specifications of the NKPC where lagged inflation plays no role once trend inflation is taken into account. The CF estimates of the NKPC, however, typically imply as large a role for lagged inflation as for expected future inflation. These estimates thus suggest that trend inflation is not in itself sufficient to explain the persistent dynamics of inflation

Estimation of Forward-Looking Relationships in Closed Form: An Application to the New Keynesian Phillips Curve

We illustrate the importance of placing model-consistent restrictions on expectations in the estimation of forward-looking Euler equations. In two-stage limited-information settings where first-stage estimates are used to proxy for expectations, parameter estimates can differ substantially, depending on whether these restrictions are imposed or not. This is shown in an application to the New Keynesian Phillips Curve (NKPC), first in a Monte Carlo exercise, and then on actual data. The closed-form (CF) estimates require by construction that expectations of inflation be model-consistent at all points in time, while the difference-equation (DE) estimates impose no model discipline on expectations. Between those two polar extremes there is a wide range of alternative DE specifications, based on the same dynamic relationship, that explicitly impose model restrictions on expectations for a finite number of periods. In our application, these last estimates quickly converge to the CF estimates, and illustrate that the DE estimates in Cogley and Sbordone (2008) are not robust to imposing modest model requirements on expectations. In particular, our estimates show that the NKPC is not purely forward-looking, and thus that time-varying trend inflation is insufficient to explain inflation persistence

Money velocity, digital currency, and inflation dynamics

This paper empirically investigates the impact of transaction cost-induced variations in the velocity of money on inflation dynamics, based on a structural New Keynesian Phillips curve (NKPC) with an explicit money velocity term. The money velocity effect arises from the role of money, both in physical and digital forms, in reducing the aggregate transaction costs and facilitating purchases of goods and services. We find a non-trivial aggregate impact in the context of the Indonesian economy: our benchmark estimates suggest that a 10% decrease in money velocity, which might be facilitated by a new digital currency (e.g. CBDC) issuance, would reduce the inflation rate by 0.6-1.7%, all else equal. Using the estimates and within a small-scale New Keynesian DSGE model, we analyze the potential implications of a CBDC issuance on aggregate fluctuations. A CBDC issuance that conservatively lowers the velocity of money by 5% is predicted to permanently raise the GDP level by 0.8% and lower the inflation rate by 0.8%. Both nominal and real interest rates are also permanently lower. Our findings imply that central banks could potentially use CBDCs as an additional stabilization policy tool by influencing the velocity

Should Research Ethics Encourage the Production of Cost-Effective Interventions?

This project considers whether and how research ethics can contribute to the provision of cost-effective medical interventions. Clinical research ethics represents an underexplored context for the promotion of cost-effectiveness. In particular, although scholars have recently argued that research on less-expensive, less-effective interventions can be ethical, there has been little or no discussion of whether ethical considerations justify curtailing research on more expensive, more effective interventions. Yet considering cost-effectiveness at the research stage can help ensure that scarce resources such as tissue samples or limited subject popula- tions are employed where they do the most good; can support parallel efforts by providers and insurers to promote cost-effectiveness; and can ensure that research has social value and benefits subjects. I discuss and rebut potential objections to the consideration of cost-effectiveness in research, including the difficulty of predicting effectiveness and cost at the research stage, concerns about limitations in cost-effectiveness analysis, and worries about overly limiting researchers’ freedom. I then consider the advantages and disadvantages of having certain participants in the research enterprise, including IRBs, advisory committees, sponsors, investigators, and subjects, consider cost-effectiveness. The project concludes by qualifiedly endorsing the consideration of cost-effectiveness at the research stage. While incorporating cost-effectiveness considerations into the ethical evaluation of human subjects research will not on its own ensure that the health care system realizes cost-effectiveness goals, doing so nonetheless represents an important part of a broader effort to control rising medical costs

Meta-analysis of shared genetic architecture across ten pediatric autoimmune diseases

Genome-wide association studies (GWASs) have identified hundreds of susceptibility genes, including shared associations across clinically distinct autoimmune diseases. We performed an inverse χ(2) meta-analysis across ten pediatric-age-of-onset autoimmune diseases (pAIDs) in a case-control study including more than 6,035 cases and 10,718 shared population-based controls. We identified 27 genome-wide significant loci associated with one or more pAIDs, mapping to in silico-replicated autoimmune-associated genes (including IL2RA) and new candidate loci with established immunoregulatory functions such as ADGRL2, TENM3, ANKRD30A, ADCY7 and CD40LG. The pAID-associated single-nucleotide polymorphisms (SNPs) were functionally enriched for deoxyribonuclease (DNase)-hypersensitivity sites, expression quantitative trait loci (eQTLs), microRNA (miRNA)-binding sites and coding variants. We also identified biologically correlated, pAID-associated candidate gene sets on the basis of immune cell expression profiling and found evidence of genetic sharing. Network and protein-interaction analyses demonstrated converging roles for the signaling pathways of type 1, 2 and 17 helper T cells (TH1, TH2 and TH17), JAK-STAT, interferon and interleukin in multiple autoimmune diseases