Two Greek thinkers examine an affordable apartment model, building plans, coins and a tax ledger.

The Housing Credit Expansion

The housing tax credit has financed almost every subsidized apartment built in the United States since 1986 ^[10]. A bipartisan group around Representatives Darin LaHood and Suzan DelBene had pushed for years to enlarge it, while free-market critics such as the Cato Institute call it costly and complex. The tax law of 2025 took up part of their bill, and the larger allocations have applied since January 2026 ^[1]^[2].

14.4 billion dollars a year in forgone tax was the cost of the credit before the expansion ^[10]
1.2 million additional homes over a decade is what the industry expects from both changes together ^[1]

The proposal

Each state's allocation of the housing credit rises by twelve percent for good. To qualify for the smaller credit, a project needs a quarter instead of half of its financing from tax-exempt bonds.

The debate

Supporters in both parties call the credit the most effective tool for building affordable homes and say stable housing helps families hold on to work. Critics answer that projects cost more than market buildings, that part of the subsidy stays with developers and investors, and that much of the construction would have happened anyway. The expansion rode in the tax law that Republicans passed without Democratic votes and the president signed on 4 July 2025.

“When people have stable housing, it has a ripple effect throughout other aspects of life. They’re better able to support their families and succeed at work.”

argues for: Suzan DelBene, Democrat, Washington Press release, 8 April 2025
“The program displaces market-based housing, and part of the benefits go to developers, not to tenants.”

argues against: Chris Edwards, Cato Institute House Oversight subcommittee hearing, 7 May 2025

The analysis

The Housing Credit Expansion

73% of the weight is for, 27% against.

An argument's weight combines three questions: how big the effect is, how certain it is and how much the good at stake matters. The larger the slice, the more the argument weighs.

For

Against

The housing credit expansion is, on the current analysis, probably a good measure, and the reason is the calendar rather than the size of the subsidy.

Likely better

Likely better: Under the assumptions used, the proposal brings more than it costs in 89 of 100 model runs.

Overall effect: large

How strongly the proposal works overall, in five steps from very small to very large, comparable across all debates. The ring is always full, even when the overall effect is small; this step says how large it is.

Supporters and the analysis land on the same side, and the reason is the calendar: the tax is forgone for ten years, while the rent cap it buys lasts thirty. Money that changes hands carries almost all the weight, from the federal budget to tenants, and a dollar does more good in a household spending half its income on rent. The critics' strongest point, that much of this construction would have happened anyway, is real but changes who lives in the homes rather than how much housing exists. What could still change the result is another point they raise: how far a capped rent really sits below the market.

In detail

All arguments

Arguments for3 arguments

Rent that stays below the market

25points

A restricted flat financed this way is let at a capped rent for at least thirty years, as a rule to households below sixty percent of the local median income and under income averaging to single households up to eighty percent. The gap between that rent and the market one is what the tenant keeps.

Value 5 · Household budgetsImpact 7.8Plausibility 6.5

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The stream is money that stays in a household because its rent is capped, priced at the middle of the scale like all money. The federal budget forgoes the tax that pays for it, which is the argument standing opposite, and the difference between the two is what a dollar is worth in a household spending half its income on rent against what it is worth in the treasury. Half of American renter households now spend more than thirty percent of income on housing and a quarter spend more than half, which is why the weight here is the highest this site uses for household money. Nothing is counted for the security of a thirty-year rent cap as distinct from its level, which is real and is not separately measured. Nothing is counted for the investors who buy the credit, whose margin appears as a cost on the other side. The value is the middle of the scale, and the weight rather than the class is what makes this the largest argument here.

The two changes together are estimated to finance up to 1.2 million additional homes over a decade; 80,000 a year is used, in a range from 40,000 to 120,000, which is the conservative end of that estimate. Rents in these flats run about 5,800 dollars a year below the market rent for an equivalent one, in a range from 2,900 to 10,400, with the gap widest in the coastal markets where the shortage is sharpest. Because the rent cap lasts at least thirty years and this evaluation looks thirty years ahead, an average of 15.5 annual cohorts are standing at any moment inside that horizon, which is 1.24 million homes. That gives about 7.2 billion dollars of rent not paid a year, at a weight of 2.5, a Normalised Impact of 7.75 on the scale of this evaluation: the department's tenant data put more than two fifths of these households at or below thirty percent of the local median income and nearly four fifths at or below half of it ^[9], which places most of them in the bottom fifth of the national distribution and nearly all of them in the bottom two fifths; the weight of the bottom fifth is used, which is at the generous end. What is counted is the gap between the market rent and the capped one — money that stays in the household and does not reach the owner, who is compensated by the credit standing opposite — and not the worth of the flat itself, which is what it costs to provide and carries nothing. The horizon is what makes this figure large: on a ten-year view the same programme would show 440,000 homes rather than 1.24 million. The Impact is by far the largest here and it is a function of how long the rent caps last as much as of how many flats are built.

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	Additional homes financed a year Setting, range 40,000 to 120,000: the conservative end of the industry estimate [1]	up to 1.2 million over a decade	80,000 homes a year
×	Cohorts standing at any moment inside a thirty-year horizon the rent cap lasts at least thirty years, so cohorts accumulate across the whole horizon	15.5	1,240,000 homes
×	Rent below the market for an equivalent flat Setting, range 2,500 to 9,000 euro-equivalent (about 2,900 to 10,400 dollars): widest in the coastal markets where the shortage is sharpest [7]	5,000 euro-equivalent a year (about 5,800 dollars at 1.16 dollars to the euro)	6.2 billion euro-equivalent a year
×	Weight of a dollar in these households more than two fifths of tenant households sit at or below thirty percent of the local median income and nearly four fifths at or below half of it: mostly the bottom fifth of the national distribution, nearly all the bottom two [9]	2.5	15.5 billion euro-equivalent a year
÷	Normalised Impact scale of this evaluation	2 billion euro-equivalent a point	7.75

Score 7.75 Impact × 5 Value × 6.5 Plausibility ÷ 10 = 25 of 100

The mechanism is contractual rather than behavioural: a project that takes the credit signs a thirty-year use agreement capping rents, and the Treasury recaptures the credit if it does not. The counterfactual is the tenants in those households renting on the open market. What is estimated rather than fixed is the number of homes, which depends on how many developers use the enlarged allocation and the halved bond threshold, and the estimate used comes from the industry that would build them rather than from an independent source — a reason to sit at the conservative end of it, which is what is done. The confounder that matters is the rent gap itself: in weak markets a capped rent is close to the market rent and the tenant gains little, which is exactly where allocations are easiest to use, so the average gap may be smaller than assumed. That is named and unresolved. Reverse causation does not arise. The Plausibility is above the middle: the rent cap is a contract and the number of flats comes from the industry that would build them.

Evidence: Precedent · plausibility at most 7 Evidence of effect: Definitional

Neighbourhoods that improve

2.2points

Where subsidised housing is built in a low-income neighbourhood, house prices rise and crime falls; where it is built in a high-income one, prices fall. Most of it is built in the first kind.

Value 6 · Housing supplyImpact 0.6Plausibility 6

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The stream is the effect on everyone else in the streets around a new building: property values, reported crime, and whether a block that was losing people starts gaining them. This site places that with the working order of economic systems and the supply of housing rather than with life and health, because what is measured is a neighbourhood rather than a person. What is priced is the net of the two directions the research finds — an improvement in poor neighbourhoods and a small loss in rich ones — and the net is positive because most of this housing is built in the first kind. Nothing is counted for the tenants themselves, whose gain is the argument above. The value sits in the middle-upper part of the scale, and what is priced is the net of an improvement in poor neighbourhoods and a small loss in rich ones.

Diamond and McQuade compare house prices and crime on the streets around a new development, before and after it opens, against streets a little further away, and find that developments in neighbourhoods below about 26,000 dollars of median income raise surrounding house values by about six percent and lower violent crime, while developments in higher-income neighbourhoods lower values by about two and a half percent ^[3]. Their estimate of the net welfare effect is positive and concentrated in poor areas. Applied to the 1.24 million homes standing inside the horizon, a net neighbourhood benefit priced as if it were worth about 1,200 dollars a year per home is used, in a range from 290 to 4,600 — well below what their capitalisation estimates would give, because a change in house prices is partly a transfer between owners and buyers rather than a gain to anybody. A neighbourhood that improves is a real good and carries no income weight; who lives there is in the value class. That is a Normalised Impact of 0.62 on the scale of this evaluation. The Impact is a twelfth of the rent argument and it is the only effect here that reaches people who do not live in the buildings.

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	Homes standing inside the horizon [1]	from the argument above	1,240,000 homes
×	Net neighbourhood benefit per home a year Setting, range 250 to 4,000 euro-equivalent (about 290 to 4,600 dollars): well below the capitalisation estimates, because a change in house prices is partly a transfer between owners and buyers; the lower end stays above zero because the study's net welfare estimate is positive [3]	1,000 euro-equivalent (about 1,200 dollars)	1.24 billion euro-equivalent a year
÷	Normalised Impact scale of this evaluation	2 billion euro-equivalent a point	0.62

Score 0.62 Impact × 6 Value × 6 Plausibility ÷ 10 = 2.2 of 100

The counterfactual is the same streets without the development, which the study constructs by comparing houses close to a new building with houses a little further away in the same neighbourhood, before and after it opens — a difference-in-differences design built around the timing and location of each project rather than a lottery. That design is quasi-experimental and it is the strongest evidence in this evaluation. The confounder that matters is that developers choose sites, and may choose blocks that were about to change anyway; the paper answers it by using the further ring of the same neighbourhood as the comparison, so that a trend common to the area drops out. Reverse causation is the same worry in another form and gets the same answer. The transfer is the weak point: the study covers developments built before this expansion, in a period of lower construction costs and different neighbourhood dynamics, and the conversion from capitalised house prices to an annual welfare figure is a construction of this evaluation rather than of the paper. The Plausibility is at the middle to upper part: the effect is identified around the opening of each development and the annual figure put on it is not the paper's.

Evidence: Study · plausibility at most 7 Evidence of effect: Quasi-experimental · at most 8

A flat you are not evicted from

1.1points

A capped rent in a building that must stay affordable for thirty years is the opposite of the private low-rent market, where a household spending half its income on rent moves under threat every few years.

Value 9.5 · HealthImpact 0.3Plausibility 4.5

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The stream is health: the illness, sleep and mental health effects of housing instability, which are documented in a large literature on eviction and on severe rent burden. It sits just below the top of the scale, in the class this site uses for life and health, because almost none of what is counted is death. It is separate from the money above in the ordinary way: a household that would have paid the higher rent and stayed put gains from that argument alone, and one that would have been forced out gains from this one as well. Nothing is counted for children's schooling, which follows from stability and would enlarge this. Nothing is counted for the households who do not get one of these flats. The value sits just below the maximum: the stream is health, reached through not having to move under threat.

Across the 1.24 million homes standing inside the horizon, the health gain from a secure capped rent against the private low-rent market is put at 0.01 quality-adjusted years per household a year, in a range from 0.002 to 0.04 — about four days of good health, which is a low reading of a literature that finds substantial effects of eviction on mental and physical health. That gives 12,400 quality-adjusted years a year, a Normalised Impact of 0.25 on the scale of this evaluation. The figure is deliberately small for two reasons: some of these households would have been stably housed anyway, and the counterfactual for the rest is not homelessness but a worse and less secure flat. What is not counted, and would enlarge this considerably, is the effect on the children in these households, for whom the eviction literature finds the largest and longest-lasting consequences. The Impact is a thirtieth of the rent argument, which is what happens when a real effect is spread thinly across a very large number of households.

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	Homes standing inside the horizon [1]	from the first argument	1,240,000 homes
×	Quality-adjusted years gained per household a year Setting, range 0.002 to 0.04: about four days of good health, a low reading because the counterfactual is a worse flat rather than homelessness [8]	0.01	12,400 quality-adjusted years
×	Value of the years the value of a healthy life year used across this site	40,000 euro-equivalent each	496 million euro-equivalent a year
÷	Normalised Impact scale of this evaluation	2 billion euro-equivalent a point	0.25

Score 0.25 Impact × 9.5 Value × 4.5 Plausibility ÷ 10 = 1.1 of 100

The counterfactual is the same households in the private low-rent market. The chain is named — capped rent, no rent-driven move, fewer disrupted schooling and health episodes — and its first two links follow from the use agreement. The health literature on eviction and severe rent burden is large and consistent in direction, but it studies people who were evicted against people who were not, without exogenous variation in who gets evicted, which leaves the obvious confounder standing: households that lose a flat are in difficulty for reasons that also damage health. That is named and unresolved, and it is why the quality-adjusted figure used here is a small fraction of what those studies would imply. Reverse causation is live in the same way and is answered by the same choice. Nothing has measured the health of subsidised tenants against comparable private ones, so what places this number is a complete chain rather than a finding. The Plausibility is below the middle: the direction is well supported, the population studied is not this one, and the size is set low for that reason.

Evidence: Mechanism · plausibility at most 6 Evidence of effect: Mechanistic · at most 6 Placement: Chain closed, unevidenced · plausibility 4–5

Open: Tenant rosters for these buildings and health records are both administrative and both dated. Following households allocated a flat against those on the same waiting list who were not would give the first clean estimate and could carry this above 6.

Arguments against3 arguments

Tax that is not collected

9.7points

The credit is forgone revenue rather than an appropriation, which is why it never appears in a spending debate. Once the expansion is mature it runs to about seven and a half billion dollars a year on top of what the programme already costs.

Value 5 · Public financesImpact 3.2Plausibility 6

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The stream is federal revenue that does not arrive, priced at the middle of the scale exactly as an appropriation would be; a credit and a cheque are the same money. The whole cost of the expansion stands here, and what it buys stands opposite as rent, neighbourhoods and health rather than as money. Nothing is added for the fact that the cost is invisible in the budget process, which is a real feature of the instrument and not a separate harm. Nothing is deducted for the tax the construction activity generates, which is small and would properly belong with the activity. The value is the middle of the scale, because a credit and a cheque are the same money.

The credits attached to one home come to roughly 110,000 dollars over the ten years in which they are claimed, 11,000 dollars a year — a setting in a range from 80,000 to 150,000 dollars. The order of magnitude can be checked: the programme as it stood cost about 14.4 billion dollars a year in forgone tax ^[10], and about 3.9 million homes have been placed in service since 1987, roughly 100,000 a year, so some 1 million homes are inside their ten-year claiming period at any moment, which is about 14,000 dollars a home a year across the existing mix; the additional homes here are mostly bond-financed and carry the smaller credit, which is why a lower figure is used. The credits are counted at their nominal value, not discounted, because this site discounts nothing on either side. Applied to 80,000 additional homes a year, and with an average of 8.5 annual cohorts claiming at any moment inside the thirty-year horizon, that is about 7.5 billion dollars a year of revenue forgone. The asymmetry with the argument opposite is not an accounting error but the point of the instrument: the credit is claimed for ten years and the rent cap lasts thirty, so the benefit accumulates for two decades after the cost has stopped. On a ten-year view instead, the cost would be about 4.8 billion dollars a year, a Normalised Impact of 2.1 against 2.75 of rent relief rather than 7.75, and the measure would come out close to level. The Impact is the largest cost here, and the gap between it and the rent relief opposite is a consequence of the horizon rather than of the size of the subsidy.

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	Credits attached to one home over the ten years they are claimed Setting, range 80,000 to 150,000 dollars: 14.4 billion dollars a year of forgone tax across roughly 1 million homes inside their claiming period is about 14,000 dollars a home a year for the existing mix; the additional homes are mostly bond-financed and carry the smaller credit [6][10]	about 110,000 dollars at 1.16 to the euro, nominal and undiscounted	94,828 euro-equivalent a home
÷	Claimed over ten years	÷ 10	9,483 euro-equivalent a home a year
×	Additional homes a year [1]	80,000	759 million euro-equivalent a cohort-year
×	Cohorts claiming at any moment inside a thirty-year horizon the credit runs for ten years per project, so claiming cohorts overlap for most of the horizon	8.5	6.45 billion euro-equivalent a year
÷	Normalised Impact scale of this evaluation	2 billion euro-equivalent a point	3.23

Score 3.23 Impact × 5 Value × 6 Plausibility ÷ 10 = 9.7 of 100

The credit amounts are statutory and the allocation formula is arithmetic: a per-head figure raised by twelve percent, multiplied by state populations. The counterfactual is the previous allocation and the previous fifty percent bond threshold. What is estimated is the number of projects, which is the same figure used opposite and carries the same uncertainty, and the average credit per home, which varies with construction cost and with whether a project uses the larger or the smaller credit. The confounder that would raise the cost is the halved bond threshold, whose effect on volume is genuinely unknown — it is a change in a qualification test rather than in an allocation, so nothing caps how many projects use it beyond the separate bond volume limit. That is named and unresolved. Reverse causation does not arise. The Plausibility is a little above the middle: the credit is statutory and how many projects claim it is the same open question as on the other side.

Evidence: Projection · plausibility at most 6 Evidence of effect: Mechanistic · at most 6

The cost of the machinery

0.88points

A developer does not receive the credit; they sell it to an investor at a discount and pay lawyers, accountants and syndicators to arrange the sale. That part of the subsidy never becomes housing.

Value 5 · Enforcement costImpact 0.3Plausibility 5.5

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The stream is real resources consumed in converting a tax credit into a building: legal and accounting work on the syndication, the investor's due diligence, the annual compliance monitoring for thirty years, and the state agency's allocation process. It is priced at the middle of the scale like other money spent on running a rule. The discount at which the credit is sold is not counted here, because that is a transfer to the investor rather than a resource consumed, and this site does not book a transfer as a loss without also booking the receipt. Nothing is counted for the developers' own overhead, which a direct subsidy would also require. The value is the middle of the scale, and only the resources actually consumed are counted, not the discount at which the credit changes hands.

The audit and accounting literature on this programme puts the transaction and compliance overhead at something like a tenth of the credit value once syndication, legal work, investor due diligence and thirty years of monitoring are counted, in a range from five to twenty percent. Applied to about 7.5 billion dollars of credits a year, that is about 750 million dollars a year of work that produces no housing. The comparison that makes the point is a rent voucher, which delivers the same subsidy to a household with an administrative cost in the low single digits of percent; the credit's overhead is the price of using the tax system to build rather than to pay. What is not counted is the investor's discount, typically ten to fifteen cents on the dollar of credit, which is a transfer rather than a resource loss and would roughly double this figure if it were treated as one. The Impact is a tenth of the public cost, which is the ordinary overhead of delivering a subsidy through the tax code rather than through a payment.

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	Credits claimed a year [6]	from the cost argument: about 7.5 billion dollars a year at 1.16 dollars to the euro	6.45 billion euro-equivalent a year
×	Share consumed in syndication, legal work and monitoring Setting, range 5 to 20 percent: small rural projects carry proportionally much higher overhead than large urban ones	10 %	645 million euro-equivalent a year
÷	Normalised Impact scale of this evaluation	2 billion euro-equivalent a point	0.32

Score 0.32 Impact × 5 Value × 5.5 Plausibility ÷ 10 = 0.9 of 100

The counterfactual is the same subsidy delivered directly. The chain has no behavioural link: a credit that is syndicated incurs syndication costs. What is estimated is the percentage, which comes from audit work and industry reporting rather than from a systematic survey, and which varies with the size of the deal — small rural projects carry proportionally much higher overhead than large urban ones. The confounder that would lower the figure is that some of this work would be required under any subsidy that has to be allocated and monitored, so the comparison with a voucher overstates the excess. That is named and unresolved. Reverse causation does not arise. The Plausibility is a little above the middle: the overhead is documented in audit work and its share varies with deal size in ways the single figure used here does not capture.

Evidence: Precedent · plausibility at most 6 Evidence of effect: Mechanistic · at most 6

Homes that would have been built anyway

0points

Subsidised construction competes for the same land, contractors and materials as unsubsidised construction, and a substantial share of what the credit finances displaces homes somebody would have built without it. It no longer carries a weight of its own: a market home is worth what it costs, so the home that is not built takes its cost with it.

Value 5 · Household budgetsImpact 0Plausibility 6

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The stream is homes that do not exist because subsidised ones took their place, and the households who would have lived in them. Since the sixteenth of September a home sold or let at the market price is priced at what it costs to provide, on the same floor space on both sides, which is the price the people who live in it are willing to pay. A displaced home therefore takes its own cost with it: the land, the materials, the capital and the upkeep are not consumed, and the loss and the saving are the same number. What remains of the objection is distributional rather than material — who ends up in the housing that does get built — and that stands opposite as the rent the subsidised tenants do not pay. Nothing is counted for the builders, who build either way. The value question does not arise, because the argument carries no net quantity.

Estimates of how far subsidised construction displaces unsubsidised construction run from about a fifth to almost all of it, with the higher figures in markets where land and labour are the binding constraint rather than finance ^[4]^[5]. Half would be 40,000 homes a year that would have been built anyway and now are not, which across an average of 15.5 cohorts inside the horizon is 620,000 homes. Until September that was valued at about 5,800 dollars a year each and stood at about 3.6 billion dollars, the largest single figure on this side. It does not stand any more, and the reason is a change of convention rather than a new finding: a home built for the open market is worth what it costs to build and keep, so the home that is not built saves exactly what it would have been worth. The Accountability Office put the median development cost of a subsidised unit at about 165,000 dollars for the projects it examined ^[6], and at the 6.8 percent a thirty-year loan cost in September 2026 ^[11], fully financed and repaid monthly, that is about 12,900 dollars a year before land, fees and upkeep — money that is not spent when the home is not built. The displacement is still real and it still matters for what the programme achieves, but what it moves is who lives in the homes rather than how many dollars of housing exist, and the tenants' side of that already stands opposite. The Impact is nil by the site's accounting rule, and the argument is kept visible rather than deleted because the displacement itself is not in doubt.

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	Additional homes financed a year [1]	from the first argument	80,000 homes a year
×	Share that displaces homes somebody would have built anyway Setting, range 20 to 90 percent: the higher figures apply where land and labour bind rather than finance [4]	50 %	40,000 homes a year
×	Cohorts standing at any moment inside the horizon	15.5	620,000 homes
×	What each home would have been worth to the people living in it median development cost of a unit at the mortgage rate of September 2026, plus upkeep [6][11]	about 12,000 euro-equivalent a year (about 13,900 dollars at 1.16 dollars to the euro), the market price of the access	7.4 billion euro-equivalent a year
−	What the same homes would have cost to build and keep a home for the open market is worth what it costs: what is not built is not paid for either	the same number, on the same floor space	0 billion euro-equivalent a year
÷	Normalised Impact scale of this evaluation	2 billion euro-equivalent a point	0

Score 0 Impact × 5 Value × 6 Plausibility ÷ 10 = 0 of 100

The counterfactual is the same metropolitan markets without the subsidised units, which is what the crowd-out literature constructs from variation in the volume of credits across places and years. Those designs are quasi-experimental in intent — instrumenting subsidised volume with allocation formulas and qualified census tract boundaries — and their results disagree sharply, which is the honest state of the question rather than a defect of any one paper. The confounder that separates them is what constrains construction in a given market: where the binding constraint is finance, a subsidy adds homes, and where it is land and permission, it mostly reallocates them. That is unresolved and it is why the range used here is a factor of four and a half wide. Reverse causation is present in the raw correlation, since credits are allocated to places with visible need, and the instruments are what address it. Because the finding is genuinely contested rather than merely uncertain, the plausibility sits with the argument opposite rather than above it. The Plausibility is a little above the middle: displacement is agreed to happen and its size is one of the more disputed numbers in housing economics.

Excluded (axis = 0): Excluded from the scoring rather than scored small. A home built for the open market is worth what it costs to build and keep — this site prices the two at the same level and the same floor space since the sixteenth of September — so a home that is displaced takes its cost with it: the land, the materials and the capital are not consumed either. What displacement moves is who lives in the housing that gets built, not how much housing exists in value terms, and that difference already stands opposite as the rent these tenants do not pay.

Evidence: Converging studies · plausibility at most 6 Evidence of effect: Quasi-experimental · at most 8

How robust the result is

Under the assumptions used, the proposal brings more than it costs in 89 of 100 model runs.

gains more than it costscosts more than it gains

Each dot stands for 200 of the 20,000 model runs.

The horizon and what is counted, not the size of the credit, decide the result. Claimed over ten years, the credit buys a rent cap that lasts at least thirty ^[1]^[2]^[10]. A thirty-year view therefore counts three decades of cheaper rent against one decade of forgone tax; on a ten-year view the two sides would nearly cancel. A home built for the open market counts as worth what it costs to provide, so the home itself counts for nothing on either side. What counts is the gap between the capped rent and the market one: money that stays with the tenant instead of reaching the owner, who is paid for it through tax not collected. That is why the displacement argument, once the largest single figure against the measure, now carries nothing: a home that is not built does not consume what it would have cost ^[4]^[6]^[11]. On the rent gap, the weight of a dollar in these households and the length of the caps, the expansion comes out ahead in nearly nine of ten runs.

Show the distribution of the model runs

20,000 simulated futures

Likely better · 89 %

In 89 of 100 simulated futures the proposal brings more than it costs.

No effect is known exactly; every argument has a range. The calculation draws a possible size for each argument from its range 20,000 times and counts how often the benefits exceed the costs.

Net effect in points per future. Left of zero the drawbacks outweigh the benefits, right of zero the benefits win. Eight in ten futures fall between −0.3 and +41 points.

Scale and assessment

Scale of this evaluation: Normalised Impact, unitless and calibrated to this topic. For comparison, one point here corresponds to about 2 billion euro-equivalent a year.

Size class:large

Effect large (+36) · 73 % of the effect is positive

Areas show individual argument weights. The positive share of the effect nets out money transfers between the two sides; the probability of a positive net effect is determined separately.

How we score →

Review and sources

AI evaluation · not yet reviewed by a human

This evaluation was produced and sourced by an AI model; a human review is still pending. Figures and conclusions may still change. The review log is at the foot of the page.How review works →

Last reviewed by Claude Opus 5.5 · October 29, 2026 · 8× AI, not yet reviewed by a human

October 29, 2026AI reviewClaude Opus 5.5record updated
Page texts for the new page layout (draft G) with quotes from primary sources; numbers unchanged.
October 21, 2026AI reviewClaude Fable 5.1record updated
Money amounts in argument texts stated in dollars per style-en.md; scores, chains and balance unchanged
October 20, 2026AI reviewClaude Fable 5.1record updated
Summary and scale note rewritten to the style of 20 Oct 2026; numbers unchanged
October 16, 2026AI reviewClaude Opus 5.5record updated
Ranges added from the settings in quadrature; the neighbourhood benefit now starts at 250 euro instead of zero, and the summary states the new probability of just under nine in ten.
October 14, 2026AI reviewClaude Opus 5.5record updated
Prüfbericht 11.10. (SO-06, SO-07): Einkommenstests mit Income Averaging bis 80 % AMI beschrieben, Annuität auf rund 11.100 € korrigiert; keine Zahl geändert.
September 16, 2026AI reviewClaude Opus 5record updated
Buchungsregel wohnbau-kosten/1.0 an den US-Setzungen geprüft: die 5.000 € je Wohnung sind Überschuss über die Bereitstellung (GAO-Median 165.000 $ je Einheit, 6,76 % Zins) — Kostenseite in con-2 und Maßstab beziffert, Ankerfrage ausgewiesen; Zahlen unverändert, r 0,65.
September 14, 2026AI reviewClaude Opus 5re-scored
Gesamtprüfung 08.09.: Diamond/McQuade als DiD korrigiert, w auf realen Gütern entfernt (pro-2 i 1,49→1,24, con-2 4,65→3,1), Summary bei 90 % Verdrängung richtiggestellt, HUD-/CRS-Belege ergänzt; Konto-Umbau offen; r 0,62→0,65.
September 6, 2026AI reviewClaude Opus 5First evaluation
First evaluation over a thirty-year horizon, because the rent cap outlasts the credit; displacement of unsubsidised construction set at half and decides the result.

Evaluations are produced with AI support and reviewed on a schedule for new developments; human passes are marked separately.How we review →

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Northmarq: 2025 affordable housing tax changes: understanding the housing credit, bonds and opportunity zones. northmarq.com
Nixon Peabody: Low-income housing and community development tax credits in the 2025 tax law. nixonpeabody.com
Diamond and McQuade, Journal of Political Economy: Who Wants Affordable Housing in Their Backyard? An Equilibrium Analysis of Low-Income Property Development. journals.uchicago.edu
Eriksen and Rosenthal, Journal of Public Economics: Crowd out effects of place-based subsidized rental housing. sciencedirect.com
Baum-Snow and Marion, Journal of Public Economics: The effects of low income housing tax credit developments on neighborhoods. sciencedirect.com
U.S. Government Accountability Office: Low-income housing tax credit: development costs and oversight. gao.gov
Harvard Joint Center for Housing Studies: The State of the Nation's Housing. jchs.harvard.edu
National Low Income Housing Coalition: The Gap: a shortage of affordable homes. nlihc.org
U.S. Department of Housing and Urban Development, HUD User: Understanding Whom the LIHTC Serves: Data on Tenants in LIHTC Units as of December 31, 2017. huduser.gov
Congressional Research Service: An Introduction to the Low-Income Housing Tax Credit (RS22389, updated July 2025). congress.gov
Freddie Mac: Primary Mortgage Market Survey — 30-year fixed-rate mortgage averaged 6.76 percent, 10 September 2026. freddiemac.com

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