<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article">
 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">
    me
   </journal-id>
   <journal-title-group>
    <journal-title>
     Modern Economy
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2152-7245
   </issn>
   <issn publication-format="print">
    2152-7261
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/me.2025.169066
   </article-id>
   <article-id pub-id-type="publisher-id">
    me-145578
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Business 
     </subject>
     <subject>
       Economics
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    A Reformulation of the Quantity Theory of Money: Globalization, Digitalization, and Exchange
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Miguel Angel
      </surname>
      <given-names>
       Temprano
      </given-names>
     </name>
    </contrib>
   </contrib-group> 
   <aff id="affnull">
    <addr-line>
     aFacultad de Economía y Empresa, Universidad Internacional de La Rioja (UNIR), Madrid, Spain
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     08
    </day> 
    <month>
     09
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    16
   </volume> 
   <issue>
    09
   </issue>
   <fpage>
    1420
   </fpage>
   <lpage>
    1436
   </lpage>
   <history>
    <date date-type="received">
     <day>
      27,
     </day>
     <month>
      March
     </month>
     <year>
      2025
     </year>
    </date>
    <date date-type="published">
     <day>
      12,
     </day>
     <month>
      March
     </month>
     <year>
      2025
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      12,
     </day>
     <month>
      September
     </month>
     <year>
      2025
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © Copyright 2014 by authors and Scientific Research Publishing Inc. 
    </copyright-statement>
    <copyright-year>
     2014
    </copyright-year>
    <license>
     <license-p>
      This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/
     </license-p>
    </license>
   </permissions>
   <abstract>
    This study explains why the massive expansion of the Federal Reserve’s balance sheet following the 2008-2010 crises did not generate the inflation predicted by the Quantity Theory of Money (QTM). The QTM is reformulated by incorporating three twenty-first-century structural forces: the real effective exchange rate (REER), globalization (KOF index), and digitalization (IDI). A log-log model with GLS-Newey-West corrections is estimated using U.S. quarterly data (2000 Q1-2024 Q4), and causality is tested via a VAR (3). REER and inflation are found to be bidirectionally linked, while M2 unidirectionally drives prices. A 1 percent real depreciation increases the CPI by 0.21 percentage points, whereas advances in globalization and digitalization exert persistent deflationary pressures. The expanded model (SQTM) reduces forecast RMSE by 40 percent and raises the adjusted R
    <sup>2</sup> to 0.87 relative to the classical QTM and a Phillips-curve VAR. In sum, central banks should monitor REER, KOF, IDI, and money velocity, adopt flexible inflation targets, and coordinate exchange-rate policy to safeguard price stability.
   </abstract>
   <kwd-group> 
    <kwd>
     Monetary Policy
    </kwd> 
    <kwd>
      Velocity
    </kwd> 
    <kwd>
      Monetary Mass
    </kwd> 
    <kwd>
      Globalization: Exchange Rate
    </kwd> 
    <kwd>
      Inflation
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>Despite the unprecedented expansion of the Federal Reserve and European Central Bank balance sheets after the 2008 crisis, U.S. inflation remained below 2 percent until well into 2021—a phenomenon that <xref ref-type="bibr" rid="scirp.145578-5">
     Blanchard and Bernanke (2023)
    </xref> termed the “great disconnect.” This episode reopens the debate surrounding Friedman’s postulate that inflation is inherently a monetary phenomenon and suggests that the M → π link is mediated by omitted variables.</p>
   <p>This paper reformulates the Quantity Theory of Money by incorporating three forces characteristic of the twenty-first century: The real effective exchange rate (REER)—preferred over bilateral exchange rates as it reflects relative prices against a trade-weighted basket of partners (<xref ref-type="bibr" rid="scirp.145578-11">
     Engel, 2016
    </xref>)—globalization (KOF index), and digitalization (IDI). Based on a VAR (3) estimated with quarterly U.S. data from 2000 Q1 to 2024 Q4, the REER is shown to Granger-cause inflation, and a 1 percent real depreciation increases the CPI by 0.21 percentage points after two quarters (p &lt; 0.01). These results, consistent with <xref ref-type="bibr" rid="scirp.145578-2">
     Auer, Borio, and Filardo (2017)
    </xref> on global competition, help explain why QE programs—whose impact on yields is well-documented—did not produce the expected inflation while the dollar remained strong and e-commerce intensified price competition. By incorporating REER, KOF, and IDI, the proposed model offers a more robust framework for evaluating the effectiveness of monetary policy in open, digitalized economies.</p>
   <p>Both episodes led to the adoption of a monetary tool that had previously been considered exceptional: quantitative easing (QE), defined as large-scale injections of newly created money through massive asset purchases, with the goal of stabilizing economies emerging from real estate and debt bubbles and preventing deflation. The initial push came from the U.S. Treasury and Federal Reserve; however, the European Central Bank eventually implemented similar expansionary policies. It is often argued that German reluctance toward activist monetary policy stems from a “trauma” rooted in the 1923 Weimar hyperinflation, which continues to influence national attitudes toward price stability (<xref ref-type="bibr" rid="scirp.145578-3">
     Barkhausen, 2025
    </xref>).</p>
   <p>Monetarism, formalized in the 1960s by <xref ref-type="bibr" rid="scirp.145578-15">
     Friedman and Schwartz (1963)
    </xref>, has long dominated monetary policy and traces its roots to the sixteenth-century School of Salamanca. <xref ref-type="bibr" rid="scirp.145578-14">
     Friedman (1970)
    </xref> argued that monetary growth in excess of real output inevitably leads to a general rise in prices. Historically, empirical evidence appeared to support this prediction, particularly in earlier crises. However, models with heterogeneous agents show that the effects of monetary expansion depend critically on wealth distribution and the marginal propensity to consume (<xref ref-type="bibr" rid="scirp.145578-20">
     Kaplan, Moll, &amp; Violante, 2018
    </xref>), helping to explain the limited transmission mechanisms observed after 2008.</p>
   <p>This empirical paradox weakened monetarist orthodoxy and paved the way for alternative frameworks, such as Modern Monetary Theory (MMT). According to <xref ref-type="bibr" rid="scirp.145578-21">
     Kelton (2020)
    </xref>, the post-crisis experience shows that sustained money creation by central banks does not automatically lead to inflation. While the puzzle gave rise to MMT, it also spurred new explanations based on global savings gluts and secular stagnation (<xref ref-type="bibr" rid="scirp.145578-4">
     Blanchard, 2016
    </xref>), both consistent with persistently low money velocity.</p>
   <p>Mainstream scholars attributed the absence of inflation to the collapse in money velocity due to deleveraging and precautionary savings. However, this explanation proves insufficient. In today’s globalized economy, integrated value chains have increased the elasticity of global supply; demand shocks are absorbed by relocatable production and declining price pass-through (<xref ref-type="bibr" rid="scirp.145578-1">
     Auer, Levchenko, &amp; Sauré, 2019
    </xref>). Recent studies have found that the pass-through from exchange rates to CPI inflation weakened significantly after the global financial crisis (<xref ref-type="bibr" rid="scirp.145578-19">
     Jasova et al., 2016
    </xref>). When QE is implemented simultaneously among trading partners, the REER tends to remain stable, neutralizing its inflationary effect. Simultaneously, the digitalization of commerce and logistics increases price transparency and competition. Globalization and digitalization thus operate as persistent structural deflationary forces.</p>
   <p>This paper proposes a reformulated version of the QTM that preserves the foundational role of money supply and velocity but incorporates three key twenty-first-century forces: the REER, globalization (KOF index), and digitalization (IDI). The model adopts a log-log specification, allowing for the estimation of proportional elasticities of each factor on inflation. The contribution to the literature is twofold: 1) it introduces the first structural version of the QTM that incorporates REER, KOF, and IDI, and 2) it empirically demonstrates its superior forecasting performance compared to the classical monetarist model and a Phillips-curve VAR.</p>
   <p>To support this proposal with rigorous evidence, a VAR (3) including inflation, M2 growth, and the real effective exchange rate (REER) is estimated using U.S. quarterly data from 2000 Q1 to 2024 Q4. Granger causality tests confirm a bidirectional relationship between REER and inflation (χ<sup>2</sup> = 18.6; p &lt; 0.01), and a unidirectional relationship from M2 to prices. These findings are consistent with the literature on exchange rate pass-through in open economies (<xref ref-type="bibr" rid="scirp.145578-9">
     Choudhri &amp; Hakura, 2006
    </xref>: Journal of International Economics; <xref ref-type="bibr" rid="scirp.145578-13">
     Forbes, Hjortsoe, &amp; Nenova, 2018
    </xref>: Economic Journal). The REER is used—instead of a bilateral rate such as USD/EUR—because it aggregates movements against a trade-weighted basket of partners and adjusts for inflation differentials, providing a more accurate measure of external competitiveness and domestic price dynamics (<xref ref-type="bibr" rid="scirp.145578-10">
     Darvas, 2012
    </xref>; <xref ref-type="bibr" rid="scirp.145578-18">
     Iossifov &amp; Fei, 2019
    </xref>). This evidence reinforces the case for including the REER as a structural variable in a modern reformulation of the QTM.</p>
   <p>The REER is employed—rather than a nominal bilateral exchange rate—because it captures competitiveness against a trade-weighted basket of partners and adjusts for inflation differentials, thereby avoiding distortions caused by idiosyncratic shocks. This allows the model to reflect the effective cost of imports and the real appreciation of foreign goods that affects domestic CPI, in line with the paper’s objective of linking trade openness and price formation. (Data sources, VAR specification, and robustness tests are detailed in Section 3.)</p>
   <p>Using U.S. quarterly data from 2000 to 2024, the study evaluates whether this extended framework outperforms the classical model in both internal fit and economic interpretation. The central hypothesis is that REER, globalization, and digitalization now operate as persistent deflationary forces: the first intensifies price competition in tradables (<xref ref-type="bibr" rid="scirp.145578-17">
     IMF, 2020
    </xref>), while the latter reduces margins and search costs via digital platforms and automation (<xref ref-type="bibr" rid="scirp.145578-22">
     OECD, 2022
    </xref>). By calibrating and comparing both models during shocks such as the 2008 crisis and the COVID-19 pandemic, the paper assesses whether the new specification offers a better account of recent inflation dynamics.</p>
   <p>Moreover, it is shown econometrically—through a VAR(3) with unit-root corrections—that REER Granger-causes inflation in the U.S. (p &lt; 0.01), whereas the reverse causality weakens once monetary supply is controlled for. The REER is adopted because it reflects net external competitiveness across multiple partners and avoids the bilateral bias of the U.S. dollar (<xref ref-type="bibr" rid="scirp.145578-11">
     Engel, 2016
    </xref>). Recent studies report that its pass-through to domestic prices ranges from 30 to 50 percent over two-year horizons (<xref ref-type="bibr" rid="scirp.145578-16">
     Gopinath &amp; Itskhoki, 2022
    </xref>).</p>
   <p>The remainder of the paper is structured as follows: Section 2 reviews the theoretical foundations and introduces the exchange rate, globalization, and digitalization channels; Section 3 presents the data and econometric methodology; Section 4 reports the empirical results and robustness checks; Section 5 discusses policy implications; and Section 6 concludes and outlines directions for future research.</p>
  </sec><sec id="s2">
   <title>2. Theoretical Review</title>
   <sec id="s2_1">
    <title>2.1. Foundations of Classical Monetarism</title>
    <p>The Quantity Theory of Money (QTM) traces its origins to the School of Salamanca, where Martín de Azpilcueta and Jean Bodin first linked the abundance of precious metals to rising prices. <xref ref-type="bibr" rid="scirp.145578-12">
      Fisher (1911)
     </xref> formalized this intuition with the equation of exchange, M·V = P·Y, and Milton Friedman—along with Anna Schwartz (<xref ref-type="bibr" rid="scirp.145578-15">
      Friedman &amp; Schwartz, 1963
     </xref>)—popularized it by asserting that “inflation is always and everywhere a monetary phenomenon.” The core of this framework rests on two key assumptions:</p>
    <p>These ideas laid the groundwork for central bank independence and the adoption of simple policy rules—such as Friedman’s k-percent rule or Taylor’s rule—to manage the money supply.</p>
   </sec>
   <sec id="s2_2">
    <title>2.2. Empirical Challenges after 2008</title>
    <p>The Global Financial Crisis of 2008 disrupted this framework. Although the balance sheets of the Federal Reserve, the ECB, the BoJ, and the BoE expanded dramatically, inflation remained subdued. Three classical monetarist explanations were called into question:</p>
    <p>1) Collapse in money velocity: Massive deleveraging and a heightened preference for liquidity caused excess reserves to remain “parked” in commercial banks.</p>
    <p>2) Liquidity trap: With interest rates at the zero lower bound, conventional monetary policy lost traction, and credit transmission stalled.</p>
    <p>3) Anchored expectations: Central banks retained credibility and prevented inflation expectations from rising, thereby dampening price sensitivity to monetary base expansion.</p>
    <p>These developments paved the way for explanations that extend beyond the traditional M → P mechanism.</p>
   </sec>
   <sec id="s2_3">
    <title>2.3. The Exchange Rate Channel and Evidence of Causality</title>
    <p>The pass-through literature suggests that real depreciation increases import prices and gradually transmits to domestic inflation (<xref ref-type="bibr" rid="scirp.145578-23">
      Taylor, 2000
     </xref>). Granger causality tests based on third-order vector autoregressions (VAR(3)) confirm that for the United States (1970-1980) and Türkiye (2005-2024), the REER Granger-causes inflation with lags of two to four quarters, while reverse causality is weaker. This evidence supports the use of the Real Effective Exchange Rate (REER) over nominal indicators: the REER adjusts for price differentials and better captures external competitiveness.</p>
   </sec>
   <sec id="s2_4">
    <title>2.4. Globalization and Digitalization as Deflationary Forces</title>
    <p>Since the 1990s, two structural transformations have compressed profit margins and prices:</p>
    <p>Recent meta-analyses conclude that each deviation of the IDI or KOF above trend exerts deflationary elasticities on the CPI ranging from –0.10 to –0.40.</p>
   </sec>
   <sec id="s2_5">
    <title>2.5. Structural Reformulation in Log-Log Form</title>
    <p>To integrate these forces, this study proposes the Structural Quantity Theory Model (SQTM):</p>
    <p>
     <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"> <mrow> 
       <msub> 
        <mtext>
          π 
        </mtext> 
        <mi>
          t 
        </mi> 
       </msub> 
       <mo>
         = 
       </mo> 
       <msubsup> 
        <mi>
          V 
        </mi> 
        <mi>
          t 
        </mi> 
        <mrow> 
         <msub> 
          <mtext>
            β 
          </mtext> 
          <mn>
            1 
          </mn> 
         </msub> 
        </mrow> 
       </msubsup> 
       <mo>
         ⋅ 
       </mo> 
       <msubsup> 
        <mrow> 
         <mtext>
           REER 
         </mtext> 
        </mrow> 
        <mi>
          t 
        </mi> 
        <mrow> 
         <msub> 
          <mtext>
            β 
          </mtext> 
          <mn>
            2 
          </mn> 
         </msub> 
        </mrow> 
       </msubsup> 
       <mo>
         ⋅ 
       </mo> 
       <mtext>
         M 
       </mtext> 
       <msubsup> 
        <mn>
          2 
        </mn> 
        <mi>
          t 
        </mi> 
        <mrow> 
         <msub> 
          <mtext>
            β 
          </mtext> 
          <mn>
            3 
          </mn> 
         </msub> 
        </mrow> 
       </msubsup> 
       <mo>
         ⋅ 
       </mo> 
       <msubsup> 
        <mrow> 
         <mtext>
           IDI 
         </mtext> 
        </mrow> 
        <mi>
          t 
        </mi> 
        <mrow> 
         <msub> 
          <mtext>
            β 
          </mtext> 
          <mn>
            4 
          </mn> 
         </msub> 
        </mrow> 
       </msubsup> 
       <mo>
         ⋅ 
       </mo> 
       <msup> 
        <mrow> 
         <mrow> 
          <mo>
            ( 
          </mo> 
          <mrow> 
           <mfrac> 
            <mrow> 
             <msub> 
              <mrow> 
               <mtext>
                 KOF 
               </mtext> 
              </mrow> 
              <mi>
                t 
              </mi> 
             </msub> 
            </mrow> 
            <mover accent="true"> 
             <mi>
               k 
             </mi> 
             <mo>
               ¯ 
             </mo> 
            </mover> 
           </mfrac> 
          </mrow> 
          <mo>
            ) 
          </mo> 
         </mrow> 
        </mrow> 
        <mrow> 
         <msub> 
          <mtext>
            β 
          </mtext> 
          <mn>
            5 
          </mn> 
         </msub> 
        </mrow> 
       </msup> 
       <mo>
         ⋅ 
       </mo> 
       <msup> 
        <mtext>
          e 
        </mtext> 
        <mrow> 
         <mtext>
           α 
         </mtext> 
         <mo>
           + 
         </mo> 
         <msub> 
          <mtext>
            ε 
          </mtext> 
          <mi>
            t 
          </mi> 
         </msub> 
        </mrow> 
       </msup> 
      </mrow> 
     </math> (1)</p>
    <p>where:</p>
    <p>Each β<sub>j</sub> coefficient is interpreted as an elasticity: a 1% increase in variable j changes inflation by β<sub>j</sub>% ceteris paribus.</p>
    <p>The multiplicative specification captures the idea that proportional shocks to each variable result in proportional changes in inflation. The log-log transformation linearizes this relationship—allowing each β<sub>i</sub> to be interpreted as an elasticity—facilitates estimation using Generalized Least Squares (GLS), and mitigates heteroskedasticity.</p>
    <p>The parameter α captures the unexplained equilibrium level of inflation, while ε<sub>t</sub> accounts for idiosyncratic shocks.</p>
   </sec>
   <sec id="s2_6">
    <title>2.6. Dynamic Predictions</title>
    <p>Taken together, this revision shows that while the QTM remains a valid starting point, it must be expanded to incorporate structural variables that act as “amplifiers” or “buffers” of the traditional monetary mechanism. The SQTM offers both a theoretical and empirical bridge, explaining why the quantitative expansions of the past decade did not lead to proportional inflation, and signaling to central banks that, in the twenty-first century, monitoring REER, KOF, and IDI is as essential as tracking M2 and money velocity.</p>
   </sec>
  </sec><sec id="s3">
   <title>3. Model and Methodology</title>
   <sec id="s3_1">
    <title>3.1. Model Specification</title>
    <p>Building upon the structural reformulation presented in Section 2.5, we estimate the long-run relationship between inflation and its structural drivers using the log-log transformation of the SQTM. The estimated model is in logarithmic form:</p>
    <p>
     <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> 
       <mi>
         ln 
       </mi> 
       <msub> 
        <mtext>
          π 
        </mtext> 
        <mi>
          t 
        </mi> 
       </msub> 
       <mo>
         = 
       </mo> 
       <mtext>
         α 
       </mtext> 
       <mo>
         + 
       </mo> 
       <msub> 
        <mtext>
          β 
        </mtext> 
        <mn>
          1 
        </mn> 
       </msub> 
       <mi>
         ln 
       </mi> 
       <msub> 
        <mi>
          V 
        </mi> 
        <mi>
          t 
        </mi> 
       </msub> 
       <mo>
         + 
       </mo> 
       <msub> 
        <mtext>
          β 
        </mtext> 
        <mn>
          2 
        </mn> 
       </msub> 
       <mi>
         ln 
       </mi> 
       <msub> 
        <mrow> 
         <mtext>
           REER 
         </mtext> 
        </mrow> 
        <mi>
          t 
        </mi> 
       </msub> 
       <mo>
         + 
       </mo> 
       <msub> 
        <mtext>
          β 
        </mtext> 
        <mn>
          3 
        </mn> 
       </msub> 
       <mi>
         ln 
       </mi> 
       <mtext>
         M 
       </mtext> 
       <msub> 
        <mn>
          2 
        </mn> 
        <mi>
          t 
        </mi> 
       </msub> 
       <mo>
         + 
       </mo> 
       <msub> 
        <mtext>
          β 
        </mtext> 
        <mn>
          4 
        </mn> 
       </msub> 
       <mi>
         ln 
       </mi> 
       <msub> 
        <mrow> 
         <mtext>
           IDI 
         </mtext> 
        </mrow> 
        <mi>
          t 
        </mi> 
       </msub> 
       <mo>
         + 
       </mo> 
       <msub> 
        <mtext>
          β 
        </mtext> 
        <mn>
          5 
        </mn> 
       </msub> 
       <mi>
         ln 
       </mi> 
       <mrow> 
        <mo>
          ( 
        </mo> 
        <mrow> 
         <mfrac> 
          <mrow> 
           <msub> 
            <mrow> 
             <mtext>
               KOF 
             </mtext> 
            </mrow> 
            <mi>
              t 
            </mi> 
           </msub> 
          </mrow> 
          <mover accent="true"> 
           <mi>
             k 
           </mi> 
           <mo>
             ¯ 
           </mo> 
          </mover> 
         </mfrac> 
        </mrow> 
        <mo>
          ) 
        </mo> 
       </mrow> 
       <mo>
         + 
       </mo> 
       <msub> 
        <mtext>
          ε 
        </mtext> 
        <mi>
          t 
        </mi> 
       </msub> 
      </mrow> 
     </math> (2)</p>
    <p>We estimate the equation with a log-log specification using Generalized Least Squares (GLS) with Newey-West correction. This specification enables direct interpretation of coefficients as elasticities and is estimated using Generalized Least Squares (GLS) with Newey-West correction to address potential heteroskedasticity and autocorrelation (<xref ref-type="bibr" rid="scirp.145578-24">
      Wooldridge, 2016
     </xref>; <xref ref-type="bibr" rid="scirp.145578-8">
      Cameron &amp; Trivedi, 2020
     </xref>).</p>
   </sec>
   <sec id="s3_2">
    <title>3.2. Data and Transformations (<xref ref-type="table" rid="table1">
      Table 1
     </xref>)</title>
    <table-wrap id="table1">
     <label>
      <xref ref-type="table" rid="table1">
       Table 1
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.145578-"></xref>Table 1. Model variables.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="11.65%"><p style="text-align:center">Variable</p></td> 
       <td class="custom-bottom-td aleft" width="21.54%"><p style="text-align:left">Frequency</p></td> 
       <td class="custom-bottom-td aleft" width="30.18%"><p style="text-align:left">Source</p></td> 
       <td class="custom-bottom-td aleft" width="36.63%"><p style="text-align:left">Transformation</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="11.65%"><p style="text-align:center">CPI</p></td> 
       <td class="custom-top-td acenter" width="21.54%"><p style="text-align:center">Quarterly</p></td> 
       <td class="custom-top-td acenter" width="30.18%"><p style="text-align:center">BLS (U.S.), TURKSTAT</p></td> 
       <td class="custom-top-td acenter" width="36.63%"><p style="text-align:center"> 
         <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> 
           <mtext>
             ln 
           </mtext> 
           <mrow> 
            <mo>
              ( 
            </mo> 
            <mrow> 
             <mrow> 
              <mrow> 
               <msub> 
                <mrow> 
                 <mtext>
                   CPI 
                 </mtext> 
                </mrow> 
                <mi>
                  t 
                </mi> 
               </msub> 
              </mrow> 
              <mo>
                / 
              </mo> 
              <mrow> 
               <msub> 
                <mrow> 
                 <mtext>
                   CPI 
                 </mtext> 
                </mrow> 
                <mrow> 
                 <mi>
                   t 
                 </mi> 
                 <mo>
                   − 
                 </mo> 
                 <mn>
                   1 
                 </mn> 
                </mrow> 
               </msub> 
              </mrow> 
             </mrow> 
            </mrow> 
            <mo>
              ) 
            </mo> 
           </mrow> 
          </mrow> 
         </math></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="11.65%"><p style="text-align:center">M2</p></td> 
       <td class="acenter" width="21.54%"><p style="text-align:center">Quarterly</p></td> 
       <td class="acenter" width="30.18%"><p style="text-align:center">FRED</p></td> 
       <td class="acenter" width="36.63%"><p style="text-align:center"> 
         <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> 
           <mi>
             ln 
           </mi> 
           <mtext>
             M 
           </mtext> 
           <msub> 
            <mn>
              2 
            </mn> 
            <mi>
              t 
            </mi> 
           </msub> 
          </mrow> 
         </math></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="11.65%"><p style="text-align:center">Velocity</p></td> 
       <td class="acenter" width="21.54%"><p style="text-align:center">Computed</p></td> 
       <td class="acenter" width="30.18%"><p style="text-align:center">FRED + BEA</p></td> 
       <td class="acenter" width="36.63%"><p style="text-align:center"> 
         <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> 
           <mi>
             ln 
           </mi> 
           <msub> 
            <mi>
              V 
            </mi> 
            <mi>
              t 
            </mi> 
           </msub> 
          </mrow> 
         </math></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="11.65%"><p style="text-align:center">REER</p></td> 
       <td class="acenter" width="21.54%"><p style="text-align:center">Quarterly</p></td> 
       <td class="acenter" width="30.18%"><p style="text-align:center">BIS</p></td> 
       <td class="acenter" width="36.63%"><p style="text-align:center"> 
         <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> 
           <mi>
             ln 
           </mi> 
           <msub> 
            <mrow> 
             <mtext>
               REER 
             </mtext> 
            </mrow> 
            <mi>
              t 
            </mi> 
           </msub> 
          </mrow> 
         </math></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="11.65%"><p style="text-align:center">KOF</p></td> 
       <td class="acenter" width="21.54%"><p style="text-align:center">Annual → spline</p></td> 
       <td class="acenter" width="30.18%"><p style="text-align:center">KOF-ETH</p></td> 
       <td class="acenter" width="36.63%"><p style="text-align:center"> 
         <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"> <mrow> 
           <mtext>
             ln 
           </mtext> 
           <mrow> 
            <mo>
              ( 
            </mo> 
            <mrow> 
             <mrow> 
              <mrow> 
               <msub> 
                <mrow> 
                 <mtext>
                   KOF 
                 </mtext> 
                </mrow> 
                <mi>
                  t 
                </mi> 
               </msub> 
              </mrow> 
              <mo>
                / 
              </mo> 
              <mover accent="true"> 
               <mi>
                 k 
               </mi> 
               <mo>
                 ¯ 
               </mo> 
              </mover> 
             </mrow> 
            </mrow> 
            <mo>
              ) 
            </mo> 
           </mrow> 
          </mrow> 
         </math></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="11.65%"><p style="text-align:center">IDI</p></td> 
       <td class="acenter" width="21.54%"><p style="text-align:center">Annual → spline</p></td> 
       <td class="acenter" width="30.18%"><p style="text-align:center">ITU</p></td> 
       <td class="acenter" width="36.63%"><p style="text-align:center"> 
         <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> 
           <mi>
             ln 
           </mi> 
           <msub> 
            <mrow> 
             <mtext>
               IDI 
             </mtext> 
            </mrow> 
            <mi>
              t 
            </mi> 
           </msub> 
          </mrow> 
         </math></p></td> 
      </tr> 
     </table>
    </table-wrap>
   </sec>
   <sec id="s3_3">
    <title>3.3. Econometric Strategy</title>
    <p>1) Estimation of the SQTM</p>
    <p>2) Causality and short-run dynamics</p>
    <p>3) Comparative performance evaluation</p>
    <p>4) Additional robustness tests</p>
   </sec>
   <sec id="s3_4">
    <title>3.4. Justification for Using the REER</title>
    <p>This methodological design aims to isolate the marginal contribution of each structural force and to empirically test the core thesis: in open and digitalized economies, exchange rate, globalization, and technological channels are as crucial for price dynamics as the monetary base itself.</p>
   </sec>
  </sec><sec id="s4">
   <title>4. Empirical Results</title>
   <sec id="s4_1">
    <title>4.1. SQTM Estimations for the U.S. (2000 Q1-2024 Q4) (<xref ref-type="table" rid="table2">
      Table 2
     </xref>)</title>
    <table-wrap id="table2">
     <label>
      <xref ref-type="table" rid="table2">
       Table 2
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.145578-"></xref>Table 2. Regression results.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="32.32%"><p style="text-align:center">Variable (log)</p></td> 
       <td class="custom-bottom-td aleft" width="19.40%"><p style="text-align:left">Elasticity 
         <math xmlns="http://www.w3.org/1998/Math/MathML"> <mover accent="true"> 
           <mi>
             β 
           </mi> 
           <mo>
             ^ 
           </mo> 
          </mover> 
         </math></p></td> 
       <td class="custom-bottom-td aleft" width="17.24%"><p style="text-align:left">Std. Error</p></td> 
       <td class="custom-bottom-td aleft" width="13.11%"><p style="text-align:left">t-statistic</p></td> 
       <td class="custom-bottom-td aleft" width="23.73%"><p style="text-align:left">Significance</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="32.32%"><p style="text-align:center">Money Velocity 
         <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> 
           <msub> 
            <mi>
              V 
            </mi> 
            <mi>
              t 
            </mi> 
           </msub> 
          </mrow> 
         </math></p></td> 
       <td class="custom-top-td acenter" width="19.40%"><p style="text-align:center">0.43</p></td> 
       <td class="custom-top-td acenter" width="17.24%"><p style="text-align:center">0.10</p></td> 
       <td class="custom-top-td acenter" width="13.11%"><p style="text-align:center">4.2</p></td> 
       <td class="custom-top-td acenter" width="23.73%"><p style="text-align:center">***</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="32.32%"><p style="text-align:center">REER<sub>t</sub></p></td> 
       <td class="acenter" width="19.40%"><p style="text-align:center">0.21</p></td> 
       <td class="acenter" width="17.24%"><p style="text-align:center">0.06</p></td> 
       <td class="acenter" width="13.11%"><p style="text-align:center">3.6</p></td> 
       <td class="acenter" width="23.73%"><p style="text-align:center">***</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="32.32%"><p style="text-align:center">Broad Money 
         <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> 
           <mtext>
             M 
           </mtext> 
           <msub> 
            <mn>
              2 
            </mn> 
            <mi>
              t 
            </mi> 
           </msub> 
          </mrow> 
         </math></p></td> 
       <td class="acenter" width="19.40%"><p style="text-align:center">0.48</p></td> 
       <td class="acenter" width="17.24%"><p style="text-align:center">0.12</p></td> 
       <td class="acenter" width="13.11%"><p style="text-align:center">4.0</p></td> 
       <td class="acenter" width="23.73%"><p style="text-align:center">***</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="32.32%"><p style="text-align:center">Digitalization 
         <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> 
           <msub> 
            <mrow> 
             <mtext>
               IDI 
             </mtext> 
            </mrow> 
            <mi>
              t 
            </mi> 
           </msub> 
          </mrow> 
         </math></p></td> 
       <td class="acenter" width="19.40%"><p style="text-align:center">–0.17</p></td> 
       <td class="acenter" width="17.24%"><p style="text-align:center">0.05</p></td> 
       <td class="acenter" width="13.11%"><p style="text-align:center">–3.4</p></td> 
       <td class="acenter" width="23.73%"><p style="text-align:center">**</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="32.32%"><p style="text-align:center">Globalization 
         <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> 
           <mrow> 
            <mrow> 
             <msub> 
              <mrow> 
               <mtext>
                 KOF 
               </mtext> 
              </mrow> 
              <mi>
                t 
              </mi> 
             </msub> 
            </mrow> 
            <mo>
              / 
            </mo> 
            <mover accent="true"> 
             <mi>
               k 
             </mi> 
             <mo>
               ¯ 
             </mo> 
            </mover> 
           </mrow> 
          </mrow> 
         </math></p></td> 
       <td class="acenter" width="19.40%"><p style="text-align:center">–0.30</p></td> 
       <td class="acenter" width="17.24%"><p style="text-align:center">0.08</p></td> 
       <td class="acenter" width="13.11%"><p style="text-align:center">–3.8</p></td> 
       <td class="acenter" width="23.73%"><p style="text-align:center">***</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="32.32%"><p style="text-align:center">Constant 
         <math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>
            α 
          </mi> 
         </math></p></td> 
       <td class="acenter" width="19.40%"><p style="text-align:center">–2.04</p></td> 
       <td class="acenter" width="17.24%"><p style="text-align:center">0.53</p></td> 
       <td class="acenter" width="13.11%"><p style="text-align:center">–3.8</p></td> 
       <td class="acenter" width="23.73%"><p style="text-align:center">**</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>*GLS estimation with Newey-West correction (lag = 4). Significance levels: *p &lt; 0.10; **p &lt; 0.05; ***p &lt; 0.01.</p>
    <fig id="fig1" position="float">
     <label>Figure 1</label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.145578-"></xref>Figure 1. Observed Inflation vs Model Predictions, United States (2000-2024).</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/7204071-rId60.jpeg?20250915110507" />
    </fig>
    <p>
     <xref ref-type="fig" rid="fig1">
      Figure 1
     </xref> compares the annual inflation rate observed in the United States (black line) with the predictions generated by the Structural Quantity Theory Model (SQTM, red line) and the classical Quantity Theory of Money (TQM, blue dashed line) over the 2000-2024 period. The SQTM exhibits a closer fit to the actual CPI, especially during post-2008 and post-COVID episodes, reducing over- and under-predictions that are evident in the classical TQM. The latter tends to overstate inflation following monetary expansions, failing to account for structural deflationary forces. The improved predictive accuracy of the SQTM highlights the relevance of incorporating REER, globalization, and digitalization into modern inflation modeling.</p>
   </sec>
   <sec id="s4_2">
    <title>4.2. Predictive Accuracy Compared to Benchmark Models (<xref ref-type="table" rid="table3">
      Table 3
     </xref>)</title>
    <p>In the Predictive performance comparison, the proposed model (SQTM) consistently outperforms the benchmarks. Compared to the classical QTM and the VAR model with a Phillips curve, the SQTM reduces the RMSE by approximately 40% (1.54 → 0.92) and the MAE by about 39% (1.12 → 0.68), while increasing the adjusted R<sup>2</sup> to 0.87 (a 15 percentage point gain over the VAR; 19 percentage points over the QTM). These results suggest that incorporating the REER, globalization (KOF), and digitalization (IDI) indices adds explanatory power and enhances forecasting accuracy over the analyzed period.</p>
    <table-wrap id="table3">
     <label>
      <xref ref-type="table" rid="table3">
       Table 3
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.145578-"></xref>Table 3. Model comparison: Predictive performance.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="32.32%"><p style="text-align:center">Model</p></td> 
       <td class="custom-bottom-td aleft" width="19.40%"><p style="text-align:left">RMSE</p></td> 
       <td class="custom-bottom-td aleft" width="17.24%"><p style="text-align:left">MAE</p></td> 
       <td class="custom-bottom-td aleft" width="19.39%"><p style="text-align:left">Adjusted R<sup>2</sup></p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="32.32%"><p style="text-align:center">Classical QTM (M2, V)</p></td> 
       <td class="custom-top-td acenter" width="19.40%"><p style="text-align:center">1.54</p></td> 
       <td class="custom-top-td acenter" width="17.24%"><p style="text-align:center">1.12</p></td> 
       <td class="custom-top-td acenter" width="19.39%"><p style="text-align:center">0.68</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="32.32%"><p style="text-align:center">Phillips Curve VAR</p></td> 
       <td class="acenter" width="19.40%"><p style="text-align:center">1.37</p></td> 
       <td class="acenter" width="17.24%"><p style="text-align:center">1.05</p></td> 
       <td class="acenter" width="19.39%"><p style="text-align:center">0.72</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="32.32%"><p style="text-align:center">SQTM (Proposed Model)</p></td> 
       <td class="acenter" width="19.40%"><p style="text-align:center">0.92</p></td> 
       <td class="acenter" width="17.24%"><p style="text-align:center">0.68</p></td> 
       <td class="acenter" width="19.39%"><p style="text-align:center">0.87</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>The SQTM reduces forecast RMSE by 40% compared to the classical monetarist specification and raises the adjusted R<sup>2</sup> to 87%.</p>
   </sec>
   <sec id="s4_3">
    <title>4.3. Causality and Short-Run Dynamics</title>
   </sec>
   <sec id="s4_4">
    <title>4.4. Robustness Checks</title>
   </sec>
   <sec id="s4_5">
    <title>4.5. Summary of Findings</title>
    <p>The results support the central hypothesis: in open and digitalized economies, external competitiveness (REER) and global/technological channels rival monetary expansion as drivers of inflation. The inclusion of REER, KOF, and IDI generates substantial predictive gains and resolves the “puzzle” of low post-QE inflation.</p>
   </sec>
  </sec><sec id="s5">
   <title>5. Discussion</title>
   <sec id="s5_1">
    <title>5.1. Interpretation of Main Findings</title>
    <p>The evidence confirms that the real effective exchange rate (REER) has become as powerful a determinant of inflation as monetary growth, while globalization and digitalization exert persistent deflationary pressures. An estimated elasticity of 0.21 for the U.S. implies that a 10% real depreciation raises inflation by approximately 2.1 percentage points after two quarters—comparable in magnitude to monetary shocks of similar scale.</p>
    <p>The re-emergence of money velocity (elasticity = 0.43) suggests that V<sub>t</sub> acts as an amplifier when domestic demand recovers and financial frictions ease. This challenges the “permanent liquidity trap” narrative and highlights the need to monitor real spending dynamics beyond reserve balances.</p>
    <p>The Granger-causal link from REER to inflation—robust in the U.S. and even stronger in Türkiye—supports the inclusion of exchange rate variables in price models even for large domestic economies. It also underscores how synchronized competitive devaluations (e.g., during coordinated QE episodes) can offset global inflationary pressures.</p>
   </sec>
   <sec id="s5_2">
    <title>5.2. Connections to the Literature</title>
   </sec>
   <sec id="s5_3">
    <title>5.3. Implications for Monetary Theory</title>
   </sec>
   <sec id="s5_4">
    <title>5.4. Policy Implications</title>
   </sec>
   <sec id="s5_5">
    <title>5.5. Limitations</title>
   </sec>
   <sec id="s5_6">
    <title>5.6. Research Agenda</title>
    <p>In summary, this discussion strengthens the empirical case that modern price dynamics cannot be understood without the exchange rate-globalization-digitalization nexus. Monetary rules must adapt to this structural triad to preserve central bank credibility in a world that differs fundamentally from the classic monetarist era.</p>
   </sec>
  </sec><sec id="s6">
   <title>6. Implications for Monetary Policy</title>
   <p>Summary</p>
   <p>Our results indicate that in open and digitalized economies, price dynamics cannot be managed using monetary aggregates or a domestic Phillips Curve alone. The REER, globalization (KOF), and digitalization (IDI) function as structural inflation drivers, while money velocity modulates intertemporal transmission. This demands a comprehensive overhaul of targets, tools, diagnostics, and communication strategies in monetary policy.</p>
   <sec id="s6_1">
    <title>6.1. Operational Framework and Targets</title>
   </sec>
   <sec id="s6_2">
    <title>6.2. Policy Mix</title>
   </sec>
   <sec id="s6_3">
    <title>6.3. Monitoring and Diagnostics (Minimum Dashboard)</title>
   </sec>
   <sec id="s6_4">
    <title>6.4. Scenario-Based Reaction Rules</title>
   </sec>
   <sec id="s6_5">
    <title>6.5. The “Trilemma” and Regime Choices (Emerging Economies)</title>
    <p>1) Inflation targeting + FX reserves for smoothing.</p>
    <p>2) Exchange rate anchor + capital controls/macroprudential buffers.</p>
    <p>3) FX bands with transparent rule-based adjustments.</p>
   </sec>
   <sec id="s6_6">
    <title>6.6. Communication and Expectations</title>
   </sec>
   <sec id="s6_7">
    <title>6.7. “Second-Generation” QE/QT Design</title>
   </sec>
   <sec id="s6_8">
    <title>6.8. Governance and Data Architecture</title>
   </sec>
   <sec id="s6_9">
    <title>6.9. Operational Checklist (Summary)</title>
    <p>Monetary Policy Conclusion</p>
    <p>Credible monetary policy in an open, digitalized economy requires flexible inflation targets, expanded dashboards (REER-KOF-IDI-V), coordinated policy mixes, and communication anchored in elasticities and transmission lags. Absent this framework, central banks risk overreacting to imported shocks or underestimating inflation accelerations driven by velocity rebounds.</p>
   </sec>
  </sec><sec id="s7">
   <title>7. Conclusion</title>
   <p>1) Validity and Expansion of Monetarism</p>
   <p>This study reaffirms that inflation is ultimately a monetary phenomenon—but not exclusively so. When REER, globalization (KOF), and digitalization (IDI) are integrated into the quantity theory equation, the model offers a more accurate depiction of price dynamics in open, digital economies.</p>
   <p>2) Methodological Contribution</p>
   <p>3) Key Findings</p>
   <p>4) Policy Modeling</p>
   <p>5) Limitations</p>
  </sec><sec id="s8">
   <title>8. Future Research Agenda (<xref ref-type="table" rid="table4">
     Table 4
    </xref>)</title>
   <p>Advancing these research lines will support the design of more precise monetary policy in a world where global competition, digital transformation, and capital mobility are reshaping the link between money, prices, and economic activity.</p>
   <table-wrap id="table4">
    <label>
     <xref ref-type="table" rid="table4">
      Table 4
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.145578-"></xref>Table 4. Future research agenda.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="17.24%"><p style="text-align:center">Topic</p></td> 
      <td class="custom-bottom-td aleft" width="43.10%"><p style="text-align:left">Guiding Question</p></td> 
      <td class="custom-bottom-td aleft" width="39.65%"><p style="text-align:left">Suggested Approach</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td aleft" width="17.24%"><p style="text-align:left">Cross-country panel</p></td> 
      <td class="custom-top-td aleft" width="43.10%"><p style="text-align:left">Does SQTM replicate across emerging and advanced economies with different exchange rate regimes?</p></td> 
      <td class="custom-top-td aleft" width="39.65%"><p style="text-align:left">Dynamic panel estimation (System GMM) with fixed effects.</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="17.24%"><p style="text-align:left">Endogeneity &amp; causality</p></td> 
      <td class="aleft" width="43.10%"><p style="text-align:left">Are REER and M2 endogenous to inflation expectations?</p></td> 
      <td class="aleft" width="39.65%"><p style="text-align:left">Use external instruments (e.g., trade shocks, policy surprises); structural VARs with sign-restriction identification.</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="17.24%"><p style="text-align:left">Regime shifts</p></td> 
      <td class="aleft" width="43.10%"><p style="text-align:left">Does pass-through vary with baseline inflation or central bank credibility?</p></td> 
      <td class="aleft" width="39.65%"><p style="text-align:left">Apply Markov-switching models or TVP-VARs with time-varying parameters.</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="17.24%"><p style="text-align:left">Digital economies</p></td> 
      <td class="aleft" width="43.10%"><p style="text-align:left">How do CBDCs and instant payments affect velocity and SQTM dynamics?</p></td> 
      <td class="aleft" width="39.65%"><p style="text-align:left">Use transaction-level data and machine learning to estimate real-time V.</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="17.24%"><p style="text-align:left">Global supply shocks</p></td> 
      <td class="aleft" width="43.10%"><p style="text-align:left">How do logistics disruptions and energy prices affect SQTM outcomes?</p></td> 
      <td class="aleft" width="39.65%"><p style="text-align:left">Include bottleneck indexes and commodity prices as exogenous variables.</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="17.24%"><p style="text-align:left">Competition and markups</p></td> 
      <td class="aleft" width="43.10%"><p style="text-align:left">Does digital competition constrain cost pass-through?</p></td> 
      <td class="aleft" width="39.65%"><p style="text-align:left">Use firm-level data and micro-panel techniques to estimate markups.</p></td> 
     </tr> 
    </table>
   </table-wrap>
  </sec>
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