<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Cointegration | Robin Chen</title><link>https://robinchen.org/tag/cointegration/</link><atom:link href="https://robinchen.org/tag/cointegration/index.xml" rel="self" type="application/rss+xml"/><description>Cointegration</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 30 Sep 2024 00:00:00 +0000</lastBuildDate><image><url>https://robinchen.org/media/logo_hu9727855325976137109.png</url><title>Cointegration</title><link>https://robinchen.org/tag/cointegration/</link></image><item><title>A Granular Investigation on the Stability of Money Demand</title><link>https://robinchen.org/publication/money-demand-stability/</link><pubDate>Mon, 30 Sep 2024 00:00:00 +0000</pubDate><guid>https://robinchen.org/publication/money-demand-stability/</guid><description>&lt;script type="application/ld+json">
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"name": "Why is the U.S. money demand function unstable after 1980?",
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"@type": "Answer",
"text": "The instability is a measurement artifact of simple-sum aggregation, not a change in households' preferences for monetary assets. Chen and Valcarcel (2024) show that with Barnett (1980) Divisia aggregates, the cointegration between money and output survives straddling the 1980 DIDMCA break. Simple-sum M2 and M3 treat interest-bearing deposits as perfect substitutes for non-interest-bearing currency, which breaks down after 1980 deregulation legalizes interest on checkable accounts. Andrews-Ploberger and Bai-Perron structural break tests locate the break around 1980:Q2, but the relationship itself reconstitutes in the post-1980 subsample when Divisia user costs are used as the opportunity cost. The paper labels this the measurement-not-preference verdict."
}
},
{
"@type": "Question",
"name": "Does Divisia money demand remain stable across the 1980 DIDMCA break?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Yes. Chen and Valcarcel (2024) show the cointegration between Divisia M2 (or M3) and its own user cost holds in both the pre-1980:Q2 and post-1980:Q2 subsamples, across all four Johansen (1995) deterministic-trend specifications. Simple-sum M2 loses cointegration with the user cost in three of four Johansen specifications post-1980; simple-sum M3 never cointegrates post-1980. This aligns with Belongia and Ireland (2019), who estimate a stable Divisia M2 and MZM demand over 1967-2019."
}
},
{
"@type": "Question",
"name": "Does the T-bill yield cointegrate with monetary aggregates after the Great Financial Crisis?",
"acceptedAnswer": {
"@type": "Answer",
"text": "No. Chen and Valcarcel (2024) show the three-month T-bill yield loses cointegration with Divisia M3 and Divisia M4 in the post-2008:Q3 subsample under all Johansen specifications. The yield was pinned near zero for roughly seven years. The user costs of Divisia M3 and M4, which compressed but stayed well above zero (Mattson and Valcarcel 2016), continue to cointegrate with their respective aggregates post-GFC under all specifications, with the correct sign and larger elasticity estimates than in the pre-GFC subsample."
}
},
{
"@type": "Question",
"name": "Are Divisia user costs better than the T-bill yield as the opportunity cost of holding money?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Yes. On theoretical grounds, the user cost derived by Barnett (1978) is the textbook opportunity cost of each monetary asset; the T-bill yield is the price of a substitute. On statistical grounds, Chen and Valcarcel (2024) show Divisia user costs maintain cointegration with Divisia M2 and M3 across the 1980 and 2008 structural breaks, while the T-bill yield does not. DF-GLS unit-root tests also indicate Divisia user costs are level-stationary around a deterministic trend while the T-bill yield is not. This is the user-cost sufficiency for money demand result."
}
},
{
"@type": "Question",
"name": "Which individual monetary assets cointegrate with their own user costs?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Currency, demand deposits, savings deposits, small and large time deposits, repurchase agreements, institutional money-market funds, and the aggregate of commercial paper plus T-bills all cointegrate with their own CFS user costs in at least two of four Johansen specifications, with the correct sign. Chen and Valcarcel (2024) report that of 40 estimates (10 asset pairs x 4 Johansen specifications) using the double-log form, 29 show the expected negative user-cost elasticity with the correct sign. The CFS user-cost data for individual components comes from Barnett, Liu, Mattson, and van den Noort (2013). This is the granular money-demand cointegration result."
}
},
{
"@type": "Question",
"name": "Should I use semi-log or double-log money demand specification for Divisia aggregates?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Use the Cagan (1956) semi-log form for the full sample and the pre-GFC sample. Use the Meltzer (1963) double-log form when the sample includes the post-2008 zero-lower-bound period, since Bae, Kakkar, and Ogaki (2006) show it better accommodates the liquidity-trap region. Chen and Valcarcel (2024) find Divisia M2/M3 demand cointegrates under both forms in the full sample; the double-log form is preferred for samples that include the ZLB."
}
},
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"@type": "Question",
"name": "Is money demand instability evidence of a structural change in preferences?",
"acceptedAnswer": {
"@type": "Answer",
"text": "No. Chen and Valcarcel (2024) conclude that 'the instability of money demand is a matter of measurement rather than a consequence of a structural change in agents' preference for monetary assets.' The preference-change reading, implicit in Friedman and Kuttner (1992), is undermined once proper aggregation and proper opportunity costs are used. This reading is reinforced by Belongia (1996), Lucas and Nicolini (2015), Barnett, Ghosh, and Adil (2022), and Jadidzadeh and Serletis (2019)."
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"headline": "A Granular Investigation on the Stability of Money Demand",
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"@type": "Person",
"name": "Zhengyang Chen",
"affiliation": {
"@type": "Organization",
"name": "David W. Wilson College of Business, University of Northern Iowa"
},
"url": "https://www.robinchen.org/",
"email": "zhengyang.chen@uni.edu"
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{
"@type": "Person",
"name": "Victor J. Valcarcel",
"affiliation": {
"@type": "Organization",
"name": "School of Economic, Political and Policy Sciences, University of Texas at Dallas"
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"datePublished": "2024-09-30",
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"@type": "Periodical",
"name": "Macroeconomic Dynamics",
"issn": "1365-1005",
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"@type": "Organization",
"name": "Cambridge University Press"
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"value": "10.1017/S1365100524000427"
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"url": "https://doi.org/10.1017/S1365100524000427",
"keywords": [
"money demand",
"Divisia monetary aggregates",
"cointegration tests",
"bank deposits",
"user cost of money",
"DIDMCA 1980",
"zero lower bound",
"Johansen cointegration",
"measurement-not-preference verdict",
"user-cost sufficiency for money demand",
"granular money-demand cointegration"
],
"about": [
"U.S. money demand stability",
"Divisia vs. simple-sum monetary aggregates",
"Barnett critique",
"Federal Reserve monetary aggregates",
"structural breaks in money demand",
"monetary policy identification"
],
"abstract": "Chen and Valcarcel (2024) show that the post-1980 instability of U.S. money demand is a measurement artifact of simple-sum aggregation, not a preference change. Using CFS Divisia monetary aggregates and their real user costs with Johansen (1995) cointegration tests across four deterministic-trend specifications, the paper establishes three findings: (1) Divisia M2 and M3 cointegrate with their own user costs across the 1980 DIDMCA break and the post-2008 zero-lower-bound period, while simple-sum counterparts do not; (2) the T-bill yield loses information content for money demand after 2008, while Divisia user costs do not; (3) 29 of 40 granular tests between individual monetary assets and their own user costs show correct-sign cointegration."
}
&lt;/script>
&lt;h2 id="the-instability-of-us-money-demand-after-1980-is-a-measurement-artifact">The Instability of U.S. Money Demand After 1980 Is a Measurement Artifact&lt;/h2>
&lt;p>&lt;strong>TL;DR:&lt;/strong> The post-1980 breakdown of U.S. money demand functions is not evidence that households changed their preferences for monetary assets — it is evidence that simple-sum aggregation stopped tracking monetary services once interest-bearing deposits mattered. &lt;a href="https://doi.org/10.1017/S1365100524000427">Chen and Valcarcel (2024, &lt;em>Macroeconomic Dynamics&lt;/em>)&lt;/a>
show that Divisia monetary aggregates paired with their own user costs deliver a stable cointegrating money demand function across both the 1980 DIDMCA deregulation break and the post-2008 zero-lower-bound period. The T-bill yield, by contrast, loses all information content after 2008. At the asset level, 29 of 40 granular tests show correct-sign cointegration between individual monetary components and their own user costs.&lt;/p>
&lt;h2 id="key-concepts">Key Concepts&lt;/h2>
&lt;dl>
&lt;dt>&lt;strong>Measurement-not-preference verdict&lt;/strong>&lt;/dt>
&lt;dd>The paper&amp;rsquo;s bottom-line conclusion: post-1980 money demand instability comes from how money is measured, not from households&amp;rsquo; changing preferences over monetary assets. &lt;a href="https://doi.org/10.1017/S1365100524000427">Chen and Valcarcel (2024)&lt;/a>
.&lt;/dd>
&lt;dt>&lt;strong>User-cost sufficiency for money demand&lt;/strong>&lt;/dt>
&lt;dd>The finding that Divisia real user costs, but not the T-bill yield, maintain cointegration with monetary aggregates through the 1980 deregulation and post-GFC zero-lower-bound periods. &lt;a href="https://doi.org/10.1017/S1365100524000427">Chen and Valcarcel (2024)&lt;/a>
.&lt;/dd>
&lt;dt>&lt;strong>Granular money-demand cointegration&lt;/strong>&lt;/dt>
&lt;dd>Bilateral cointegration between each disaggregated monetary asset (currency, demand deposits, savings, repos, CP, etc.) and its &lt;em>own&lt;/em> CFS user cost. The paper is the first to run this exercise historically. &lt;a href="https://doi.org/10.1017/S1365100524000427">Chen and Valcarcel (2024)&lt;/a>
.&lt;/dd>
&lt;/dl>
&lt;hr>
&lt;h2 id="q1-why-is-the-us-money-demand-function-unstable-after-1980">Q1. Why is the U.S. money demand function unstable after 1980?&lt;/h2>
&lt;p>&lt;strong>The instability is a measurement artifact of simple-sum aggregation, not a change in households&amp;rsquo; preferences for monetary assets.&lt;/strong> Simple-sum M2 and M3 treat interest-bearing deposits as perfect substitutes for non-interest-bearing currency, which breaks down after the 1980 Depository Institutions Deregulation and Monetary Control Act legalized interest on checkable accounts.&lt;/p>
&lt;p>The instability itself is well-documented. &lt;a href="https://doi.org/10.2307/2117482">Friedman and Kuttner (1992) show that postwar time-series relationships between money and nominal income weaken sharply when the sample extends into the 1980s&lt;/a>
, and &lt;a href="https://doi.org/10.1016/S0304-3932%2800%2900043-X">Ball (2001) rejects a stable long-run M1 demand once the sample extends to 1996&lt;/a>
. &lt;a href="https://doi.org/10.1080/00036840601007385">Choi and Jung (2009) locate two structural breaks in 1959-2000 simple-sum data&lt;/a>
. The standard explanation has been financial innovation inducing preference change.&lt;/p>
&lt;p>&lt;a href="https://doi.org/10.1017/S1365100524000427">Chen and Valcarcel (2024) show the instability is instead about measurement&lt;/a>
. Using CFS Divisia M2 and M3 with &lt;a href="https://doi.org/10.1016/0304-4076%2880%2990070-6">Barnett (1980) aggregation&lt;/a>
— which weights monetary assets by their expenditure shares via user costs — the cointegrating relationship between money and output survives straddling 1980. Andrews-Ploberger and Bai-Perron structural break tests locate the break in Divisia balances around 1980:Q2, consistent with DIDMCA&amp;rsquo;s institutional timing, but the relationship itself reconstitutes in the post-1980 subsample when user costs are used as the opportunity cost.&lt;/p>
&lt;p>This is the &lt;strong>measurement-not-preference verdict&lt;/strong>: the 1980 break shows up because simple-sum aggregation stops tracking monetary services once interest-bearing deposits matter; it does not show up in properly aggregated money.&lt;/p>
&lt;hr>
&lt;h2 id="four-measurement-combinations-for-us-money-demand">Four Measurement Combinations for U.S. Money Demand&lt;/h2>
&lt;table>
&lt;thead>
&lt;tr>
&lt;th style="text-align: left">Dimension&lt;/th>
&lt;th style="text-align: left">Simple-sum + T-bill&lt;/th>
&lt;th style="text-align: left">Simple-sum + user cost&lt;/th>
&lt;th style="text-align: left">Divisia + T-bill&lt;/th>
&lt;th style="text-align: left">Divisia + user cost&lt;/th>
&lt;/tr>
&lt;/thead>
&lt;tbody>
&lt;tr>
&lt;td style="text-align: left">&lt;strong>Theoretical coherence&lt;/strong>&lt;/td>
&lt;td style="text-align: left">Weak. Equal weights on heterogeneous assets; T-bill is the price of a substitute, not of money.&lt;/td>
&lt;td style="text-align: left">Weak on quantities; coherent on price.&lt;/td>
&lt;td style="text-align: left">Coherent on quantities; weak on price.&lt;/td>
&lt;td style="text-align: left">Fully coherent. &lt;a href="https://doi.org/10.1016/0304-4076%2880%2990070-6">Barnett (1980)&lt;/a>
aggregation paired with &lt;a href="https://doi.org/10.1016/0165-1765%2878%2990051-4">Barnett (1978)&lt;/a>
user cost.&lt;/td>
&lt;/tr>
&lt;tr>
&lt;td style="text-align: left">&lt;strong>Full-sample cointegration (M2)&lt;/strong>&lt;/td>
&lt;td style="text-align: left">Fails in both functional forms.&lt;/td>
&lt;td style="text-align: left">Intermittent — cointegrates under some Johansen specs, not others.&lt;/td>
&lt;td style="text-align: left">Robust. Cointegrates under all four &lt;a href="https://doi.org/10.1017/S1365100524000427">Johansen (1995)&lt;/a>
specifications.&lt;/td>
&lt;td style="text-align: left">Robust. Cointegrates under all four specifications, correct sign, both semi-log and double-log.&lt;/td>
&lt;/tr>
&lt;tr>
&lt;td style="text-align: left">&lt;strong>Post-1980 subsample (M2)&lt;/strong>&lt;/td>
&lt;td style="text-align: left">Fails in semi-log form. Wrong sign in some trend specs.&lt;/td>
&lt;td style="text-align: left">Fails in 3 of 4 Johansen specifications.&lt;/td>
&lt;td style="text-align: left">Cointegrates under constant specs only; wrong sign under trend specs.&lt;/td>
&lt;td style="text-align: left">Robust across all specs, correct sign.&lt;/td>
&lt;/tr>
&lt;tr>
&lt;td style="text-align: left">&lt;strong>Post-GFC subsample (M3, M4)&lt;/strong>&lt;/td>
&lt;td style="text-align: left">Not applicable — simple-sum abandoned for this era.&lt;/td>
&lt;td style="text-align: left">Not applicable.&lt;/td>
&lt;td style="text-align: left">Fails under all specs (T-bill stuck near zero).&lt;/td>
&lt;td style="text-align: left">Robust across all specs, with higher elasticity estimates than pre-GFC.&lt;/td>
&lt;/tr>
&lt;tr>
&lt;td style="text-align: left">&lt;strong>Asset-level (granular) cointegration&lt;/strong>&lt;/td>
&lt;td style="text-align: left">Most components fail or show wrong sign with T-bill.&lt;/td>
&lt;td style="text-align: left">Not the paper&amp;rsquo;s focus.&lt;/td>
&lt;td style="text-align: left">Most components fail or show wrong sign.&lt;/td>
&lt;td style="text-align: left">29 of 40 specifications show correct sign (&lt;a href="https://doi.org/10.1017/S1365100524000427">Chen &amp;amp; Valcarcel 2024&lt;/a>
).&lt;/td>
&lt;/tr>
&lt;tr>
&lt;td style="text-align: left">&lt;strong>What it takes as the break event&lt;/strong>&lt;/td>
&lt;td style="text-align: left">Money demand itself breaks in 1980.&lt;/td>
&lt;td style="text-align: left">Break arises from quantity side.&lt;/td>
&lt;td style="text-align: left">Break arises from price side (T-bill loses information post-1980 and post-2008).&lt;/td>
&lt;td style="text-align: left">No break — &lt;strong>measurement-not-preference verdict&lt;/strong>. Apparent instability is an aggregation/measurement artifact.&lt;/td>
&lt;/tr>
&lt;tr>
&lt;td style="text-align: left">&lt;strong>Named concept&lt;/strong>&lt;/td>
&lt;td style="text-align: left">—&lt;/td>
&lt;td style="text-align: left">—&lt;/td>
&lt;td style="text-align: left">—&lt;/td>
&lt;td style="text-align: left">&lt;strong>User-cost sufficiency for money demand&lt;/strong> · &lt;strong>Granular money-demand cointegration&lt;/strong> (&lt;a href="https://doi.org/10.1017/S1365100524000427">Chen &amp;amp; Valcarcel 2024&lt;/a>
)&lt;/td>
&lt;/tr>
&lt;/tbody>
&lt;/table>
&lt;hr>
&lt;h2 id="q2-does-divisia-money-demand-remain-stable-across-the-1980-didmca-break">Q2. Does Divisia money demand remain stable across the 1980 DIDMCA break?&lt;/h2>
&lt;p>&lt;strong>Yes — the cointegration between Divisia M2 (or M3) and its own user cost holds in both the pre-1980:Q2 and post-1980:Q2 subsamples, across all four Johansen (1995) deterministic-trend specifications. Simple-sum aggregates do not pass this subsample test.&lt;/strong>&lt;/p>
&lt;p>The pre-1980 result is not itself surprising. &lt;a href="https://doi.org/10.1086/262052">Belongia (1996) established that replacing simple-sum with Divisia indexes reverses the qualitative conclusions of several influential money studies&lt;/a>
, and &lt;a href="https://doi.org/10.1111/jmcb.12103">Serletis and Gogas (2014) found cointegration between Divisia aggregates and the T-bill yield in a Johansen (1991) framework&lt;/a>
. &lt;a href="https://doi.org/10.1016/j.jmacro.2019.103128">Belongia and Ireland (2019) estimate a stable Divisia M2 and MZM demand over 1967-2019&lt;/a>
.&lt;/p>
&lt;p>&lt;a href="https://doi.org/10.1017/S1365100524000427">Chen and Valcarcel (2024) extend this by explicitly straddling the 1980:Q2 DIDMCA break and testing across all four Johansen (1995) deterministic-trend specifications&lt;/a>
— restricted constant, unrestricted constant, restricted trend, unrestricted trend. Key results:&lt;/p>
&lt;ul>
&lt;li>Divisia M2 with user cost of M2: significant cointegration, correct-sign coefficient, all four specifications, both subsamples.&lt;/li>
&lt;li>Divisia M3 with user cost of M3: significant cointegration under three of four specifications post-1980.&lt;/li>
&lt;li>Simple-sum M2 with user cost of M2: loses cointegration in three of four specifications post-1980.&lt;/li>
&lt;li>Simple-sum M3 with user cost of M3: never cointegrates post-1980.&lt;/li>
&lt;/ul>
&lt;p>The sharper-than-usual contrast with simple-sum comes from testing multiple Johansen specifications rather than picking one. This is the &lt;strong>user-cost sufficiency for money demand&lt;/strong> result, part one.&lt;/p>
&lt;hr>
&lt;h2 id="q3-does-the-t-bill-yield-cointegrate-with-monetary-aggregates-after-the-great-financial-crisis">Q3. Does the T-bill yield cointegrate with monetary aggregates after the Great Financial Crisis?&lt;/h2>
&lt;p>&lt;strong>No — the three-month T-bill yield loses cointegration with Divisia M3 and Divisia M4 in the post-2008:Q3 subsample, because the yield was pinned near zero for roughly seven years. Divisia user costs do not suffer this information loss because user costs, while compressed, remained well above zero throughout.&lt;/strong>&lt;/p>
&lt;p>&lt;a href="https://doi.org/10.1016/j.jedc.2017.03.014">Anderson, Bordo, and Duca (2017) document the Great Recession as a major stress test for M2 velocity models&lt;/a>
, and &lt;a href="https://doi.org/10.1016/j.jmoneco.2015.03.005">Lucas and Nicolini (2015) argue that adding money-market deposit accounts to M1 restores stability of the money-interest-rate relationship through the zero-lower-bound period&lt;/a>
. &lt;a href="https://doi.org/10.1080/13504851.2016.1153780">Mattson and Valcarcel (2016) show Divisia M4 user costs compressed but stayed positive after 2008, while the federal funds rate collapsed&lt;/a>
.&lt;/p>
&lt;p>&lt;a href="https://doi.org/10.1017/S1365100524000427">Chen and Valcarcel (2024) split the sample at 2008:Q3 and test cointegration for Divisia M3 and Divisia M4&lt;/a>
. Results:&lt;/p>
&lt;ul>
&lt;li>Pre-GFC sample (1967:Q1-2008:Q3): Divisia M3 and Divisia M4 cointegrate with the T-bill yield under all Johansen specifications, with correct sign.&lt;/li>
&lt;li>Post-GFC sample (2008:Q4-2020:Q1): neither Divisia M3 nor Divisia M4 cointegrates with the T-bill yield under any specification.&lt;/li>
&lt;li>Post-GFC sample, using the user cost of Divisia M3/M4 instead: cointegration holds under all specifications, with correct sign, and the magnitude of the elasticity is &lt;em>higher&lt;/em> than pre-GFC.&lt;/li>
&lt;/ul>
&lt;p>The T-bill breakdown is not about the monetary aggregates — it is about the interest rate losing signal when pinned at the effective lower bound. This is the &lt;strong>user-cost sufficiency for money demand&lt;/strong> result, part two.&lt;/p>
&lt;hr>
&lt;h2 id="q4-are-divisia-user-costs-better-than-the-t-bill-yield-as-the-opportunity-cost-of-holding-money">Q4. Are Divisia user costs better than the T-bill yield as the opportunity cost of holding money?&lt;/h2>
&lt;p>&lt;strong>Yes — on both theoretical and statistical grounds.&lt;/strong> The user cost is the spread between a benchmark asset&amp;rsquo;s yield and the asset&amp;rsquo;s own interest return, which is the textbook opportunity cost of holding a monetary asset. The T-bill yield is the price of a monetary &lt;em>substitute&lt;/em>, not of money itself. Statistically, Divisia user costs maintain cointegration through the 1980 and 2008 breaks; the T-bill yield does not.&lt;/p>
&lt;p>The theoretical case traces to &lt;a href="https://doi.org/10.1016/0165-1765%2878%2990051-4">Barnett (1978), who derived the user cost for each monetary asset under aggregation theory&lt;/a>
, and &lt;a href="https://doi.org/10.1016/0304-4076%2880%2990070-6">Barnett (1980) formalized Divisia monetary aggregation&lt;/a>
. The statistical case builds on &lt;a href="https://doi.org/10.1016/j.jeconom.2014.06.006">Belongia and Ireland (2014), who argue the Barnett critique — that inconsistent aggregation distorts inference — remains as relevant as when first articulated&lt;/a>
, and on &lt;a href="https://doi.org/10.1016/j.jmacro.2019.103128">Belongia and Ireland (2019), who develop a money-in-the-utility model with interest-bearing deposits that predicts a stable Divisia demand function&lt;/a>
.&lt;/p>
&lt;p>&lt;a href="https://doi.org/10.1017/S1365100524000427">Chen and Valcarcel (2024) make the direct statistical comparison&lt;/a>
. Divisia M2 and Divisia M3 cointegrate with their own user costs under all Johansen (1995) specifications in the full sample &lt;em>and&lt;/em> across subsamples straddling 1980 and 2008. The same aggregates cointegrate less reliably with the T-bill yield, and not at all in the post-2008 subsample. Simple-sum M2 and M3 fail both tests.&lt;/p>
&lt;p>One more practical point: unit-root tests are consistent with Divisia user costs being level-stationary around a deterministic trend, while the T-bill yield is not level-stationary under any of the DF-GLS specifications. This is consistent with &lt;a href="https://doi.org/10.1016/j.jmacro.2019.103128">Belongia and Ireland&amp;rsquo;s (2019) observation of low-frequency stochastic trends in user costs that are swamped by transitory volatility in market rates&lt;/a>
.&lt;/p>
&lt;hr>
&lt;h2 id="q5-which-individual-monetary-assets-cointegrate-with-their-own-user-costs">Q5. Which individual monetary assets cointegrate with their own user costs?&lt;/h2>
&lt;p>&lt;strong>Currency, demand deposits, savings deposits, small time deposits, large time deposits, overnight and term repos, institutional money market funds, and the aggregate of commercial paper plus T-bill balances all cointegrate with their own CFS user costs in at least two of four Johansen (1995) specifications, with the correct sign.&lt;/strong> Only the less-established innovations — other checkable deposits and retail money market funds — show weak or no cointegration. This is the &lt;strong>granular money-demand cointegration&lt;/strong> finding.&lt;/p>
&lt;p>CFS provides user costs for each monetary asset separately following &lt;a href="https://doi.org/10.1007/s11079-012-9257-1">Barnett, Liu, Mattson, and van den Noort (2013)&lt;/a>
. This makes it possible, in principle, to run cointegration tests on each (asset quantity, asset user cost) pair — but to the paper&amp;rsquo;s knowledge, this had not been done historically before &lt;a href="https://doi.org/10.1017/S1365100524000427">Chen and Valcarcel (2024)&lt;/a>
.&lt;/p>
&lt;p>Numbers from the paper (double-log specification, full sample):&lt;/p>
&lt;ul>
&lt;li>Of 40 estimates (10 asset pairs x 4 Johansen specifications), 29 show the expected negative user-cost elasticity of demand with the correct sign.&lt;/li>
&lt;li>Nine specifications fail to find cointegration.&lt;/li>
&lt;li>Only two show an inverted sign (both trend specifications for small time deposits).&lt;/li>
&lt;/ul>
&lt;p>By contrast, when the same asset quantities are paired with the T-bill yield (semi-log specification), most pairs fail to cointegrate, and those that do often show the wrong sign. For example, savings deposits and repos cointegrate with the T-bill yield but with positive coefficients — inconsistent with a money demand interpretation.&lt;/p>
&lt;p>The asset-level result buttresses the aggregate finding: information content for money demand runs through the price duals, not through a generic short rate. Newer assets that emerged as a direct consequence of 1980s deregulation (OCDs, retail money-market funds) are the ones whose demand is hardest to pin down historically — consistent with the structural-break timing.&lt;/p>
&lt;hr>
&lt;h2 id="q6-should-i-use-semi-log-or-double-log-money-demand-specification-for-divisia-aggregates">Q6. Should I use semi-log or double-log money demand specification for Divisia aggregates?&lt;/h2>
&lt;p>&lt;strong>Use the semi-log form (interest rate in levels) for the full sample and the pre-GFC sample. Use the double-log form (log interest rate) when the sample includes the post-2008 zero-lower-bound period, because log transformations accommodate the nonlinearity induced by near-zero rates better than semi-log.&lt;/strong>&lt;/p>
&lt;p>The two canonical functional forms are the &lt;a href="https://doi.org/10.2307/1964035">Cagan (1956) semi-log form&lt;/a>
and the &lt;a href="https://doi.org/10.2307/1879564">Meltzer (1963) double-log form&lt;/a>
. &lt;a href="https://doi.org/10.1353/mcb.2006.0076">Bae, Kakkar, and Ogaki (2006) argue the double-log form better accommodates the liquidity-trap region&lt;/a>
, and &lt;a href="https://doi.org/10.1017/S1365100512001034">Hendrickson (2014) re-evaluates money demand with Divisia across both forms&lt;/a>
.&lt;/p>
&lt;p>&lt;a href="https://doi.org/10.1017/S1365100524000427">Chen and Valcarcel (2024) use both forms&lt;/a>
. In the full sample, the semi-log form delivers strong cointegration between Divisia M2/M3 and their user costs across all Johansen specifications, with the elasticity estimates stable around 6.5-10 (semi-elasticities). The double-log form also works well and tends to be slightly more robust to the choice of Johansen deterministic-trend assumption.&lt;/p>
&lt;p>For samples straddling the GFC, the double-log form is the better default. The paper estimates Divisia M3/M4 demand as a function of the log of their user costs from 2008:Q4 to 2020:Q1 and finds significant cointegration with correct sign for all Johansen specifications; the semi-log form with the T-bill yield fails in the same sample.&lt;/p>
&lt;hr>
&lt;h2 id="q7-is-money-demand-instability-evidence-of-a-structural-change-in-preferences">Q7. Is money demand instability evidence of a structural change in preferences?&lt;/h2>
&lt;p>&lt;strong>No. The evidence is more consistent with the &amp;ldquo;measurement-not-preference&amp;rdquo; reading: once the proper aggregation (Divisia) and the proper opportunity cost (asset-specific user cost) are used, the long-run demand for money is stable across the 1980 DIDMCA deregulation and the post-2008 zero-lower-bound period.&lt;/strong>&lt;/p>
&lt;p>The preference-change story dates to &lt;a href="https://doi.org/10.2307/2117482">Friedman and Kuttner (1992)&lt;/a>
and &lt;a href="https://doi.org/10.2307/2117474">Bernanke and Blinder (1992)&lt;/a>
, whose finding that simple-sum money aggregates lose their link to nominal income after 1980 drove much of macroeconomics toward pure interest-rate frameworks. Many subsequent papers interpreted the post-1980 breakdown as evidence that financial innovation had changed how households allocate monetary balances — an implied preference shift.&lt;/p>
&lt;p>The measurement reading has accumulated support. &lt;a href="https://doi.org/10.1086/262052">Belongia (1996) reversed several prominent null results by substituting Divisia for simple-sum&lt;/a>
. &lt;a href="https://doi.org/10.1016/j.jmoneco.2015.03.005">Lucas and Nicolini (2015) restored stability by adding MMDAs to M1&lt;/a>
, pointing to the 1982 Regulation Q weakening as the source of the apparent break. &lt;a href="https://doi.org/10.1016/j.eap.2022.03.019">Barnett, Ghosh, and Adil (2022) find stable demand for broad Divisia money across multiple countries&lt;/a>
. &lt;a href="https://doi.org/10.1111/jmcb.12550">Jadidzadeh and Serletis (2019) reject simple-sum aggregation assumptions using a disaggregated demand system&lt;/a>
.&lt;/p>
&lt;p>&lt;a href="https://doi.org/10.1017/S1365100524000427">Chen and Valcarcel (2024) make the cleanest version of this case&lt;/a>
by running the subsample test on both the aggregate index and its components, both before and after 1980, using both the T-bill yield and the Divisia user cost, across all Johansen (1995) specifications. The result: simple-sum breaks, Divisia does not; T-bill breaks after 2008, user costs do not. The authors conclude that &amp;ldquo;the instability of money demand is a matter of measurement rather than a consequence of a structural change in agents&amp;rsquo; preference for monetary assets.&amp;rdquo; That is the &lt;strong>measurement-not-preference verdict&lt;/strong>.&lt;/p>
&lt;hr>
&lt;h2 id="data-and-code">Data and Code&lt;/h2>
&lt;p>The CFS Divisia monetary aggregates and their real user costs used in &lt;a href="https://doi.org/10.1017/S1365100524000427">Chen and Valcarcel (2024)&lt;/a>
are from the Center for Financial Stability&amp;rsquo;s &lt;a href="https://centerforfinancialstability.org/amfm_data.php">AMFM program&lt;/a>
. Other series — PCE price index, real personal income, three-month Treasury yield — are from &lt;a href="https://fred.stlouisfed.org/">FRED&lt;/a>
. Sample period: January 1967 - March 2020, monthly.&lt;/p>
&lt;p>Replication files are available on request. Contact: &lt;a href="mailto:zhengyang.chen@uni.edu">zhengyang.chen@uni.edu&lt;/a>
.&lt;/p>
&lt;h2 id="citation">Citation&lt;/h2>
&lt;p>Chen, Zhengyang, and Victor J. Valcarcel. 2024. &amp;ldquo;A Granular Investigation on the Stability of Money Demand.&amp;rdquo; &lt;em>Macroeconomic Dynamics&lt;/em>. &lt;a href="https://doi.org/10.1017/S1365100524000427">https://doi.org/10.1017/S1365100524000427&lt;/a>
&lt;/p>
&lt;div class="highlight">&lt;pre tabindex="0" class="chroma">&lt;code class="language-bibtex" data-lang="bibtex">&lt;span class="line">&lt;span class="cl">&lt;span class="nc">@article&lt;/span>&lt;span class="p">{&lt;/span>&lt;span class="nl">chenvalcarcel2024granular&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">title&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{A Granular Investigation on the Stability of Money Demand}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">author&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{Chen, Zhengyang and Valcarcel, Victor J.}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">journal&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{Macroeconomic Dynamics}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">year&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{2024}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">publisher&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{Cambridge University Press}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">doi&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{10.1017/S1365100524000427}&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">&lt;span class="p">}&lt;/span>
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/div></description></item></channel></rss>