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Dennis Alexis Valin Dittrich

@davdittrich.fediscience.org.ap.brid.gy
10 followers 0 following 279 posts

Interested in #BoundedRationality, #trust, #discrimination, fair compensation, #quantitativeMethods, #dataviz #rstats #opensource #1stgen Professor of (Economic […] 🌉 bridged from ⁂ fediscience.org/@davdittrich, follow @ap.brid.gy to interact

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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 08/10/2026
What do economists at Apple write with? An iPencil. …submitted to #JokEc by Anthony Dziepak economicscience.net/content/JokEc2 #economics #jokes
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JokEc2 - More Jokes about Economists and Economics - economicscience.net
Please submit new jokes about economists and economics to jokec@economicscience.net . The original JokEc list lives on the JokEc page .
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 06/10/2026
Zombie firms and the growth of the living: the labor market channel d.repec.org/n?u=RePEc:bdi:opques:qe… "By hoarding workers in unproductive employment relationships, zombie firms reduce the effective local labor supply available to healthy competitors, thereby limiting […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 04/10/2026
If a chatbot prompt like ‘find Australian medicine statistics’ results in a website breach, the responsibility does not lie with a piece of code […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 30/09/2026
Words Change Behavior More Than We Think www.powerofusnewsletter.com/p/shapi… Challenging the standard consequentialist assumption that decision-making is driven solely by outcomes and incentives, Capraro argues that #behavioralEconomics must integrate linguistic […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 25/09/2026
Beveridgean Phillips Curve arxiv.org/pdf/2401.12475 Replacing standard monopolistic pricing with directed-search pricing under price-adjustment costs, the framework links the #inflation gap directly to the #unemployment gap, yielding a model where prices respond to labor-market slack […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 23/09/2026
Efficient social learning is the human advantage over #AI forklightning.substack.com/p/effici… In an economy where raw computational cognition is rapidly commodified, “humans’ comparative advantage is our learning efficiency”, specifically our evolutionary wiring […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 23/09/2026
#Nudge or #tax? At last, some data timharford.com/2026/09/nudge-or-tax… "the two approaches complement each other. Take vaccination: a government keen to maximise the uptake of a vaccine would do well to reduce the price (zero is a particularly attractive price point […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 23/09/2026
What German reunification reveals about how we really find work, and the one connection that makes the difference. www.rfberlin.com/wp-content/uploads… Only 3 to 4% of displaced East German workers moved west within five years of losing their jobs, despite higher #wages […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 23/09/2026
"AI companies use tokens to track usage and bill customers. Now economists are using them to track the spread of AI through the economy." www.npr.org/sections/planet-money/2… Much like electricity consumption […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 23/09/2026
“college campuses need to be liberated from their administrators” because “higher ed is being strangled by absurd and costly rules.” globecollegetown.substack.com/p/hig… ​By allowing bureaucratic mandates and managerial overreach to supersede academic […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 23/09/2026
Market #competition accomplishes what decades of regulation haven't www.independent.org/article/2026/09… Not covering expensive but seldom-utilized treatments is an easy way for health insurance providers to cut costs. ... a relatively […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 13/06/2026
The cheapest migration is the one nobody notices. Google cuts off the #GeminiCLI for consumer tiers on June 18. My tools all call gemini directly. So I kept the name and swapped the backend. A shim and #ai agent #skill that routes gemini through Google's Antigravity CLI. No config changes. The […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 03/06/2026
Is Economics Finally Becoming Trustworthy? www.econlib.org/econlog/economics-f… "Economics, along with political science, looks relatively good by this measure, with about half of articles sharing data or code, compared to less than […] [Original post on fediscience.org]
A three-panel chart detailing replication rates across six academic fields (Political science, Economics, Sociology, Psychology, Business, and Education) and an "All fields" summary.

Panel a ("Attempts (%)"): Shows the percentage of studies where a reproduction was "Attempted" (dark blue) versus "Not attempted" (light grey). Political science has the highest attempt rate (around 20%), while all other fields remain under 10%.

Panel b ("Attempts (%)"): A stacked bar chart of attempt outcomes: "Precisely reproduced" (dark blue), "Approximately reproduced" (light blue), and "Not reproduced" (magenta). Economics and Political Science lead with precise reproduction rates over 50%, while Education shows 0% precise reproductions.

Panel c ("Counts"): A dot plot showing total study counts (0 to 150) color-coded by outcome, revealing that Psychology and Business have the largest total sample sizes in the dataset.

The chart highlights a dual-layered reality in social science replication. While fields like Economics and Political Science are much more proactive at attempting to reproduce past research (Panel a) and boast the highest rates of precise reproducibility when they do try (Panel b), the vast majority of published papers across all fields are still never attempted. When attempts are made, roughly half across all fields can be precisely reproduced, leaving a significant portion that can only be partially replicated or fail entirely.
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 03/06/2026
Remote Work Leaves Younger Workers Sidelined libertystreeteconomics.newyorkfed.o… "…youth #unemployment has risen dramatically since the pandemic—as has the prevalence of remote work … remote work […] [Original post on fediscience.org]
A line graph tracking changes in "Percentage points" on the y-axis (ranging from -2 to 4) over time on the x-axis (from 2015 to 2024). The graph compares two categories, each plotted with a line and a shaded confidence interval: "Remotable occupations" (black line with circular markers and grey shading) and "Non-remotable occupations" (blue line with triangular markers and light blue shading). Both lines converge at 0 in 2019. A vertical grey shaded block highlights the pandemic period around 2020 and 2021. In 2020, both lines spike sharply, but the blue line peaks much higher (around 2.5) than the black line (around 1.5). By 2021, the blue line drops sharply and remains lower, while the black line for remotable occupations steadily climbs upward from 2022 through 2024, ending near 1.5 percentage points.

The chart illustrates a distinct post-pandemic divergence in employment trends based on how adaptable a job is to remote work. While non-remotable occupations saw a massive, immediate spike in 2020 followed by a swift stabilization, **remotable occupations have experienced a sustained, upward trajectory in percentage points from 2022 through 2024**. This suggests a structural, long-term shift or growing challenge within the remote job market compared to traditional, in-person roles.
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 31/05/2026
#PersonalizedPricing Isn’t All Bad for Consumers www.cato.org/blog/personalized-pric… "Both individualized and dynamic pricing have existed in our daily lives for years. But the combination of the two using modern technology has led to fears… that “corporations […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 22/05/2026
How Your #Brain Decides What Matters nautil.us/how-your-brain-decides-wh… Traditional #neuroscience mythologized the amygdala as a simple fear switch, but recent studies on a rare genetic disorder reveal its deeper role in social and economic decision-making. Rather than […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 22/05/2026
Discrimination Preferences d.repec.org/n?u=RePEc:crm:wpaper:26… "… #moral preferences are highly heterogeneous and the moral #discrimination preferences we introduce are widespread. We identify minorities of individuals with tastes for.…and large majorities with preferences […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 21/05/2026
The Math-Verbal Divide: Unequal Returns to Cognitive Skills in Education and Work d.repec.org/n?u=RePEc:iza:izadps:dp… "Verbal skills strongly predict educational attainmen while #mathematics skills generate substantially larger earnings returns. … This divergence operates […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 14/05/2026
Firm Pay, Amenities, and Inequality d.repec.org/n?u=RePEc:nbr:nberwo:35… "Non-wage attributes are an important driver of job choice: workers frequently choose lowerpaying offers. Amenity valuations are highly dispersed across firms and approximately orthogonal to wages, so […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 13/05/2026
The Economics of Morally Contested Markets www.preposterousuniverse.com/podcas… Alvin Roth discusses his new book, Moral #Economics, and the world of repugnant transactions. He explores why certain exchanges—like […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 13/05/2026
From 1h a day to +1% productivity Why AI Saves You an Hour and Your Company Gains Nothing papers.ssrn.com/sol3/Delivery.cfm/6… "… organizational plasticity as the key variable. #Productivity growth depends on a firm’s capacity to convert task-level […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 13/05/2026
Is This Why Science Advances One Funeral at a Time? nautil.us/is-this-why-science-advan… "What exists at one’s intellectual ‘birth’ feels normal, what appears during early career feels revolutionary, and what emerges after maturity feels suspect." […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 04/05/2026
The happiness crash of 2020 www.econstor.eu/bitstream/10419/339… Before 2020, Americans were a fairly cheerful group, but national #happiness has recently taken a historic crash. By analyzing decades of survey data, this study shows […] [Original post on fediscience.org]
A line graph titled "Happiness 1972-2018 and 2021-2024." The y-axis ranges from 0 to 30, and the x-axis shows years from 1970 to 2025. A black line tracks the percentage difference between people reporting they are "very happy" versus "not so happy." For decades (1972–2018), the data fluctuates mostly between 15 and 30, with a historical average of 22.01 indicated by a dashed horizontal line. There is a gap in the data for 2019–2020. In 2021, the line plummets to approximately -2, marking the first time the value is negative. While it recovers slightly by 2024, it remains historically low at around 6. Source: GSS variable happy.


The chart highlights a "happiness crash" that broke a nearly 50-year trend:

Historical Stability: From 1972 to 2018, Americans were consistently more likely to say they were "very happy" than "not so happy," maintaining a steady average of about 22 points.

The Post-2020 Pivot: The data for 2021 shows a shocking reversal where, for the first time in the recorded history of this survey, the number of "not so happy" people actually outweighed the "very happy" group (resulting in a negative score).

The "New Normal": Although there is a slight upward tick between 2022 and 2024, the current happiness level (approx. 6) is still significantly lower than even the worst historical dips seen in the mid-80s or 2010. This suggests a lasting shift in the national mood following the events of 2020.
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 01/05/2026
Identification and Semiparametric Estimation of Conditional Means from Aggregate Data arxiv.org/pdf/2509.20194 Ecological inference is the challenge of estimating subgroup behavior using only aggregate data like geographic averages. This paper introduces a new semiparametric method using […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 29/04/2026
Jargon-filled leadership language confuses teams, slows decisions, and corrodes credibility www.powerofusnewsletter.com/p/what-… Corporate jargon masks truth to impress but erodes #trust and hinders organizational decision-making. Defined as an indifference […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 29/04/2026
AI could destroy mathematics and barely touch it davidbessis.substack.com/p/the-fall… #AI challenges the "theorem economy" by automating #proofs while overlooking human intuition. Bessis argues that math's true product is understanding, not just results, which AI […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 29/04/2026
AI Productivity Growth Won’t Match the Computer Revolution prosyn.org/sgr9TWK?referral=304d11 #AI #productivityGrowth will likely underwhelm compared to the computer revolution of the late 1990s. AI’s impact on #productivity is being hampered by a "verification tax," where the time saved […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 28/04/2026
Choice Architecture in Occupational Choices repec.business.uzh.ch/RePEc/iso/lea… This study uses a Swiss job board to analyze how rank order and design influence high-stakes occupational choices. Higher rankings increased applications, especially for high-paying […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 28/04/2026
Human–AI Evaluation and Gender Transparency: Application Decisions in Competitive Hiring docs.iza.org/dp18517.pdf #AI involvement deters applicants, particularly women, across both pure algorithmic and hybrid human-in-the-loop regimes. This effect is driven by non-competitive candidates […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 27/04/2026
Extending Working Lives: A Systematic Review of Motivations, Determinants, and Institutional Contexts cris.maastrichtuniversity.nl/ws/fil… This review of 103 studies examines determinants of labor participation beyond #retirement age […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 23/04/2026
The hidden power keeping wages low www.npr.org/sections/planet-money/2… #Monopsony theory explains how employer dominance suppresses wages by distorting competitive market dynamics. Modern research reveals that market concentration […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 23/04/2026
Why did people stop responding to federal economic surveys? www.brookings.edu/articles/why-did-… Declining response rates challenge the precision and bias of economic indicators like […] [Original post on fediscience.org]
A line chart titled "Establishment survey response rates" shows data from 2015 to early 2025. The y-axis measures the percentage response rate from 0% to 80%. Five colored lines represent different Bureau of Labor Statistics (BLS) surveys: CPI-C&S (dark blue), CES (light orange), ECI (light blue), IPP-Exports (yellow), and IPP-Imports (dark orange). All five lines show a steady downward trend. In 2015, most rates were between 55% and 72%; by 2025, they have dropped significantly, with some surveys (IPP) crashing to around 30%. A sharp, synchronized drop is visible across most categories in early 2020. Source: Bureau of Labor Statistics / Brookings.

The chart reveals a growing "crisis of participation" in economic data collection:

The "COVID Cliff": Every survey experienced a sharp, permanent drop in early 2020. While we might have expected a recovery post-pandemic, the rates continued to stagnate or slide further, suggesting a fundamental change in how businesses prioritize government requests.

A Growing Blind Spot: The IPP (Import/Export Price Indexes) surveys are in the most trouble, plummeting from roughly 55% to 30% in just a decade. When only 1 in 3 businesses respond, the data becomes much "noisier" and less reliable for tracking inflation.

The "Gold Standard" is Fading: Even the CPI (Consumer Price Index) and ECI (Employment Cost Index)—critical tools for setting interest rates and wages—have fallen from the 70% range to the 45%–50% range.
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 23/04/2026
Our love of predictability may hinder adaptation to an unstable world jeroenvanbaar.substack.com/p/how-un… Many people feel a strong need to predict the future and get stressed when they cannot control events. While #anxiety […] [Original post on fediscience.org]
A scatter plot titled "Intolerance of uncertainty in U.S. and Canadian college students, 1992–2022." The x-axis shows the year, and the y-axis shows IU scores in standard deviation units ranging from 2.5 to 4.0. Green and orange dots (representing individual study data points) populate the graph, with a thick purple trend line showing a steady, accelerating climb from approximately 2.8 in the early 90s to 3.7 by 2022. A shaded purple area indicates the confidence interval. Note: The data is attributed to Van Baar et al. (2026).

The visualization suggests a profound shift in the psychological profile of the "average" college student over the last three decades:

Steady Escalation: Between 1992 and roughly 2010, the increase was gradual. However, the curve steepens significantly after 2010, suggesting that more recent cohorts find uncertain situations increasingly stressful or "unacceptable."

The "Certainty Gap": The trend line moves from the bottom third of the scale to near the top. In clinical terms, higher IU is often correlated with increased levels of anxiety and perfectionism, as individuals struggle to cope with the absence of a guaranteed outcome.

Recent Volatility: The cluster of data points near 2020–2022 shows some of the highest recorded scores, likely reflecting the impact of global instability and the pandemic on student mental health.
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 22/04/2026
Intelligence Without Integrity: Why Capable LLMs May Undermine Reliability arxiv.org/pdf/2602.20440 "As LLMs become embedded in empirical workflows and organizational decision infrastructures, analytic reliability depends on more than raw capability. It requires both intelligence […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 22/04/2026
Compassion and Responsibility, the Moral Architecture of the Mind 3quarksdaily.com/3quarksdaily/2026/… #smith #hume #rawls #economics #selfConsciousness
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Compassion and Responsibility, the Moral Architecture of the Mind
**by Herbert Harris** Adam Smith Why should we care about each other? Is it disguised self-interest? Is altruism a “selfish gene” that gives the species a survival advantage? Is responsibility an illusion? Economist Adam Smith took on these questions at the dawn of the Industrial Revolution. Better known for his foundational economic theories, Smith is remembered as one of the patron saints of the modern free market. Milton Friedman famously idolized him by wearing neckties featuring Smith’s image. But it is very hard to imagine Smith being pleased with today’s “utility monster” economy. This is because Smith’s other foundational contribution was a moral philosophy that placed sympathy at the center of our moral lives. Smith’s approach drew from David Hume, who argued that we can’t derive moral truths from simple statements of fact. There is always a leap from talking about what _is_ to saying what _ought_ to be. Moral statements were seen as matters of feeling rather than facts. Smith used this starting point to construct a theory of moral sentiment grounded in the natural sympathy we feel for our fellow human beings. Could mere feelings ground a sturdy, compelling moral system? Philosophers have long sought alternative foundations, but the barrier between _is_ and _ought_ is formidable. A strong contender having a recent resurgence is virtue ethics. Traditionally associated with Aristotle, it views moral life as a product of virtuous character. What is a virtuous character, and how do you get one? For centuries, there were no solid answers. The recent resurgence of interest had a number of champions, including Philippa Foot, who argued that the virtues can be grounded in the biology of what it means for a human being to flourish. A naturalistic foundation for moral philosophy seemed a promising new approach, but psychology and neuroscience have been generally indifferent to concepts like normativity or flourishing, which are essentially “ _oughts.”_ However, recent developments in computational neuroscience may offer points of alignment between the brain’s predictive architecture and the language of moral philosophy. Brains are often described as prediction machines. Rather than passively receiving sensory information and then deciding what to do with it, the brain continuously generates predictions about what it will experience and updates those predictions when they turn out to be wrong. Perception and action are two sides of a single process, minimizing the gap between what we expect and what we get. This predictive architecture explains agency through the paradigm of self-regulation. Organisms maintain their temperature, blood pressure, and other parameters by predicting an optimal state and acting to align the world with those predictions. This may require complex, coordinated motor and sensory actions. Catching a baseball can be understood as a sequence of actions that realize the predicted state, holding the ball. The brain can predictively model parts of itself as subsystems, but how can it model itself as a whole, independent entity? This would seem impossible unless it could access external sources of information about itself. Humans have a natural way of accomplishing this as social beings participating in social systems. From infancy, we are surrounded by other people who form predictive models of us and provide constant feedback about who we are and how we appear to them. Naturally, we construct predictive models from this data. These are models of models, giving them the “recursive” structure that we call self-consciousness. As infants, we cry when hungry. This behavior changes how our caregivers model us that results in feeding. This is similar to the baseball example, where actions produce changes to realize a predicted state, but there is an important feature to note. Both the self that performs the action and the self that is the desired outcome of the action are modeled through self-consciousness. Self-conscious agency has a recursive structure (the self constructing itself) that we experience as the inescapable _feeling_ of authorship and responsibility. These actions seem self-caused, putting them outside our usual understanding of natural causality. Responsibility, on this account, is not about blame or punishment. It is the feeling that our choices are constitutive of who we are. They matter to us in a sense analogous to what Heidegger called “Care.” Self-consciousness has a very important limitation. It is always incomplete, never a unique, fixed entity. It is a multiplicity derived from interactions with many people, characterized by a recursive, reciprocal interdependence. We are partially anchored in the body and in relatively stable physical objects, but our psychological sense of continuity and uniqueness primarily depends on personal narratives and episodic memories. Inevitable gaps in memory and storyline mean that our identities are always underdetermined. We experience this most intensely in early childhood, when the identities of self and other are most fluid. This fluidity persists into adulthood, and we constantly catch ourselves projecting our feelings onto others or internalizing their fears and anger. The compassion we feel for others arises from this essentially underdetermined nature of personal identity.**T** he capacity to identify with others is not an optional achievement that requires justification; it is a structural feature of human selfhood. Compassion and responsibility arise from the same architecture, but they do not point in the same direction. Compassion reflects the openness of an underdetermined identity, the capacity to recognize oneself in others. Responsibility reflects the closure of authorship, the sense in which one’s actions are one’s own. These orientations can reinforce each other, but they can also pull apart. That tension is not a defect in the system; it is what makes moral deliberation possible. The relationship between indeterminate identity and compassion is vividly illustrated by John Rawls and his famous thought experiment. Rawls asked us to imagine choosing principles of justice from behind a “veil of ignorance,” not knowing our economic status, race, gender, religion, or age. From this position, rational agents would always choose principles of fairness. The veil of ignorance is not just a thought experiment about hypothetical rational choice. It is an idealization of something self-consciousness already provides: a perspective constitutively informed by the perspectives of others. Fairness, in this sense, becomes a way of operationalizing compassion. Behind the veil of identity, everybody behaves like a Rawlsian. The recursive structure of self-consciousness may hold the solution to the gap between _is_ and _ought_. For Adam Smith to say, “I didn’t buy shares in East India Company,” would be a factual statement living in the world of _is_. For Adam Smith to say, ‘I shouldn’t buy shares in East India Company,” involves reasoning about possible actions of possible selves in possible worlds. To arrive at “ _shouldn’t,”_ Smith would have to model himself as an agent with options, model the consequences of those options, and evaluate them from a perspective that stands outside any single action. This is a job for self-consciousness. An understanding of the structure of self-consciousness as a socially embedded active inference process may do more than bridge the gap between the empirical “is” and the moral “ought.” It suggests that the gap was never as absolute as it appeared. The same architecture that allows us to represent the world, when applied to itself, also places us within a field of concern, where others already matter, and our actions already count as our own. Moral life is not something added to a neutral cognitive system. It is what it is like for that system to understand itself. *** **Enjoying the content on 3QD? Help keep us going bydonating now.**
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 22/04/2026
A Job I Like or a Job I Can Get: Designing Job #RecommenderSystems Using Field Experiments d.repec.org/n?u=RePEc:arx:papers:26… "… welfare-optimal RSs rank vacancies by an expected-surplus index, and shows why rankings based solely on utility, #hiring probabilities, or […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 20/04/2026
Easy A’s, Less Pay: The Long-Term Effects of Grade Inflation www.nber.org/papers/w34952 "Being assigned a higher average grade inflating teacher reduces a student's future test scores, the likelihood of graduating from high school, college enrollment, and ultimately earnings. In contrast […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 20/04/2026
#AI and the Quantity and Quality of Creative Products: Have LLMs Boosted Creation of Valuable Books? d.repec.org/n?u=RePEc:nbr:nberwo:34… "While the average quality of new #books has fallen with the LLM-induced influxand while much of the new work appears to be of little value […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 20/04/2026
What Makes New Work Different from More Work? d.repec.org/n?u=RePEc:nbr:nberwo:34… “… new work is central to maintaining and augmenting the value of human expertise in the face of automation because, unlike simply more (preexisting) work, new work demands novel expertise that […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 20/04/2026
Do Firms Share their Profits Equally with Women and Men? The Role of Human Capital, Managerial Positions and Unions docs.iza.org/dp18388.pdf "… wage-profit elasticity is estimated at 2.8% and is not statistically different for women and men. These non-differing elasticities therefore […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 31/03/2026
It must be very hard to publish null results d.repec.org/n?u=RePEc:zbw:i4rdps:28… "Most of the statistical tests … are severely Underpowered … implies that the majority of null hypothesis significance tests we run should yield #nullResults. Yet, the published literature tells a […]
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 29/03/2026
robscale 0.5.3 is now on CRAN: A major update since the last public release (0.2.1). New: 11 robust estimators with confidence intervals, plus a variance-weighted ensemble combining seven scale statistics via bootstrap. Newton–Raphson replaces scoring […] [Original post on fediscience.org]
Three-panel speedup plot. Panel A: robScale, robLoc, adm vs revss (4–5× at small n, 2–4× at large n). Panel B: Qn, Sn vs robustbase (up to 9× at large n). Panel C: GMD vs GiniDistance, IQR vs stats (37× at small n), MAD vs stats (26× at small n). Sample sizes n=3 to n=10 million.
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 28/03/2026
How ‘Tiny Shortcuts’ Are Poisoning Science nautil.us/how-tiny-shortcuts-are-po… "The #credibility crisis of #science is not about scientific progress invalidating previously held scientific beliefs, which is intrinsic to the very nature of scientific revolutions […]
fediscience.org
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 09/03/2026
Robust estimation demands highly efficient computation, especially in streaming anomaly detection where latency budgets are tight. While Rousseeuw & Croux's robust estimators ($Q_n$ and $S_n$), and Rousseeuw & Verboven's M-estimators of location and scale […] [Original post on fediscience.org]
A two-panel benchmark charting performance multipliers of the optimized C++ robscale package against legacy pure-R implementations across sample sizes from $n = 3$ up to $10^7$, with the vertical axis starting honestly at 0x. The left panel reveals a massive speedup for M-estimators (robLoc, robScale, adm  vs. revss), pushing up to ~28x for robScale. The right panel tracks scale estimators ($Q_n$, $S_n$ vs. robustbase), showing the speedup curve upward from 1.6x, approaching 10x at large sample sizes. Shaded ribbons show 95% bootstrap confidence intervals, visually confirming dramatic computational efficiency.
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 18/02/2026
While there is some "boardroom disillusionment" with #AI … Companies have seen "micro-efficiencies" (faster emails, quicker coding), but these haven't scaled to "macro-gains," and the Cost of Implementation (energy, licensing, and talent) is currently outstripping the Value of Output […]
fediscience.org
Original post on fediscience.org
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 15/02/2026
An Empirical Assessment of the Cost of Dichotomization of the Outcome of Clinical Trials onlinelibrary.wiley.com/doi/10.1002… "Burdening more participants than necessary is wasteful, costly, and unethical. … trials with a binary outcome have larger sample sizes on average, but […]
fediscience.org
Original post on fediscience.org
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 10/02/2026
AI Doesn’t Reduce Work—It Intensifies It hbr.org/2026/02/ai-doesnt-reduce-wo… “AI introduced a new rhythm in which workers managed several active threads at once: manually writing code while AI generated an alternative version, running multiple agents in parallel, or […]
fediscience.org
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 10/02/2026
The Work-from-home Wage Premium www.frbsf.org/wp-content/uploads/wp… "… find that workers who work from home earn higher hourly wages than those who do not. … premium is driven by selection on unobservable worker characteristics (which could include ability, negotiation skills […]
fediscience.org
Original post on fediscience.org
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 04/02/2026
How I Use Claude Code for Empirical Research causalinf.substack.com/p/claude-cod… Scott has a lot of good and useful ideas about how to use #claudeCode & Co. I like the referee #2 idea. There is more in his other posts. #AI #llm
causalinf.substack.com
Claude Code Part 12: How I Use Claude Code for Empirical Research
My "MixtapeTools" repo
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Dennis Alexis Valin Dittrich @davdittrich.fediscience.org.ap.brid.gy · 04/02/2026
The Legacy of Daniel Kahneman ejpe.org/journal/article/view/1075/… by Gerd Gigerenzer #BoundedRationality #economics #Psychology #heuristics #Biases #statisticalThinking
ejpe.org
View of The Legacy of Daniel Kahneman:
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